tag:blogger.com,1999:blog-24298383116807913282024-02-08T09:53:44.522-08:00Web Science and the MindUnknownnoreply@blogger.comBlogger40125tag:blogger.com,1999:blog-2429838311680791328.post-45797575396207688692014-06-08T17:48:00.000-07:002014-07-11T08:03:28.620-07:00<br />
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<b><span lang="EN-CA" style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><big><big>Web Science: It's All in the Mind</big></big> </span></b></h2>
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<span style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><b style="color: purple;"><a href="http://users.ecs.soton.ac.uk/wh/biography.php" style="color: purple;">DAME WENDY HALL</a></b></span><br />
<span style="font-family: Arial, Helvetica, sans-serif; font-size: large;">University of Southampton, Electronics & Computer Science</span></div>
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<i style="font-family: Arial; font-size: 16px; line-height: 18px;"><span lang="EN-CA"><i><span lang="EN-CA"><b><i><span lang="EN-CA"><b>OVERVIEW:</b></span></i></b> </span></i>This year we celebrate the 25th Anniversary of the World Wide Web. Twenty-five years ago there were no web sites, by 1994 there were 800, today it is estimated there are nearly a billion. The reason for this is not solely down to the technology, it is because we - as individuals, organisations and society - create the content that makes the Web grow. This socio-technical aspect of the Web was the founding principal of Web Science. In this talk we will discuss the theory and practice of Web Science – past, present and future – and conjecture the nature of collective intelligence on the Web. Will the Web ever develop a mind of it’s own?</span></i><br />
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<b><span lang="EN-CA" style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><small>READINGS:</small><o:p></o:p></span></b></div>
<span style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><span lang="FR-CA"> Berners-Lee, T., Hall, W., Hendler, J., Shadbolt, N., & Weitzner, D. (2006). <a href="http://ws.nju.edu.cn/courses/oe/papers/websci.pdf" style="color: purple;">Creating a Science of the Web</a>. <i>Science</i>, 313(5788), 769-771.<br /> Berners-Lee, T., Hall, W., Hendler, J. A., O'Hara, K., Shadbolt, N., & Weitzner, D. J. (2006). <a href="http://core.kmi.open.ac.uk/download/pdf/185521.pdf" style="color: purple;">A framework for web science</a>. <i>Foundations and trends in Web Science</i>, 1(1), 1-130.<br /> Hendler, J., Shadbolt, N., Hall, W., Berners-Lee, T., & Weitzner, D. (2008). <a href="http://eprints.soton.ac.uk/266555/1/CACM.pdf" style="color: purple;">Web science: an interdisciplinary approach to understanding the web</a>. <i>Communications of the ACM</i>, 51(7), 60-69.<br /> O'Hara, K., Contractor, N. S., Hall, W., Hendler, J. A., & Shadbolt, N. (2013). </span><span lang="FR-CA"><a href="http://eprints.soton.ac.uk/360718/1/1800000017-O%27Hara-Vol4-WEB-017.pdf" style="color: purple;"><span style="color: black;">Web Science: understanding the emergence of macro-level features on the World Wide Web</span></a></span><span lang="FR-CA">. <i>Foundations and Trends in Web Science</i>, <i>4</i>(2-3), 103-267</span></span><br />
<span style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><span lang="FR-CA"> Tiropanis, T., Hall, W., Shadbolt, N., De Roure, D., Contractor, N., & Hendler, J. (2013). </span><span lang="FR-CA"><a href="http://eprints.soton.ac.uk/354604/1/TheWebScienceObservatory-postprint.pdf" style="color: purple;"><span style="color: black;">The Web Science Observatory</span></a></span><span lang="FR-CA">. <i>IEEE Intelligent Systems</i>, <i>28</i>(2), 100-104.</span></span><br />
<br />Unknownnoreply@blogger.com18tag:blogger.com,1999:blog-2429838311680791328.post-44104720340607443612014-06-08T17:47:00.000-07:002014-07-10T09:44:26.207-07:00<br />
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<b><span lang="EN-CA" style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><big><big>Towards a Global Brain: </big></big></span></b></div>
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<b><span lang="EN-CA" style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><big><big>The Web as a Self-organizing, Distributed Intelligence</big></big></span></b></div>
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<b style="color: purple;"><span lang="EN-CA" style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><a href="http://pespmc1.vub.ac.be/HEYL.html" style="color: purple;">FRANCIS HEYLIGHEN</a></span></b></div>
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<span style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><span lang="EN-CA"><o:p></o:p></span><span lang="EN-CA">Vrije Universiteit Brussel, ECCO - Evolution, Complexity and Cognition research group</span></span><br />
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<span style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><b><i><span lang="EN-CA">OVERVIEW:</span></i></b><i><span lang="EN-CA"> Distributed intelligence is an ability to solve problems and process information that is not localized inside a single person or computer, but that emerges from the coordinated interactions between a large number of people and their technological extensions. The Internet and in particular the World-Wide Web form a nearly ideal substrate for the emergence of a distributed intelligence that spans the planet, integrating the knowledge, skills and intuitions of billions of people supported by billions of information-processing devices. This intelligence becomes increasingly powerful through a process of self-organization in which people and devices selectively reinforce useful links, while rejecting useless ones. This process can be modeled mathematically and computationally by representing individuals and devices as agents, connected by a weighted directed network along which "challenges" propagate. Challenges represent problems, opportunities or questions that must be processed by the agents to extract benefits and avoid penalties. Link weights are increased whenever agents extract benefit from the challenges propagated along it. My research group is developing such a large-scale simulation environment in order to better understand how the web may boost our collective intelligence. The anticipated outcome of that process is a "global brain", i.e. a nervous system for the planet that would be able to tackle both global and personal problems.</span></i></span></div>
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<b><span lang="EN-CA"><small>READINGS:</small></span></b></span><br />
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<span lang="FR-CA" style="font-family: Arial, Helvetica, sans-serif; font-size: large;"> Heylighen, F. (2014). </span><span lang="FR-CA" style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><a href="http://pespmc1.vub.ac.be/Papers/BrinkofSingularity.pdf" style="color: purple;"><span style="color: black;">Return to Eden? Promises and Perils on the Road to a Global Superintelligence</span></a></span><span lang="FR-CA" style="font-family: Arial, Helvetica, sans-serif; font-size: large;">. <i>The End of the Beginning: Life, Society and Economy on the Brink of the Singularity, B. Goertzel and T. Goertzel, Eds</i>.</span></div>
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<span lang="FR-CA" style="font-family: Arial, Helvetica, sans-serif; font-size: large;"> Heylighen, F. (2013). </span><span lang="FR-CA" style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><a href="http://cogprints.org/7265/1/barcelona-languageso.pdf" style="color: purple;"><span style="color: black;">Self-organization in Communicating Groups: the emergence of coordination, shared references and collective intelligence</span></a></span><span lang="FR-CA" style="font-family: Arial, Helvetica, sans-serif; font-size: large;">. In <i>Complexity Perspectives on Language, Communication and Society</i> (pp. 117-149). Springer Berlin Heidelberg.</span></div>
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Unknownnoreply@blogger.com48tag:blogger.com,1999:blog-2429838311680791328.post-11069452528819130722014-06-08T17:46:00.000-07:002014-07-10T09:29:08.135-07:00<br />
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<b><span lang="EN-CA" style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><big><big>Mapping the Brain Connectome</big></big></span></b></div>
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<b style="color: purple;"><span lang="EN-CA" style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><a href="http://www.bic.mni.mcgill.ca/%7Ealan/" style="color: purple;">ALAN EVANS</a></span></b></div>
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<span style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><span lang="EN-CA"><o:p></o:p></span><span lang="EN-CA">Montreal Neurological Institute </span></span><br />
<span style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><span lang="EN-CA">McGill University, Biomedical Engineering</span></span></div>
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<span lang="EN-CA" style="font-family: Arial;"><i><b><i><span lang="EN-CA"><b>OVERVIEW:</b></span></i></b> </i></span><i style="font-family: Arial;">The study of macroscopic neural connectivity using neuroimaging has exploded in recent years, with applications in many areas of clinical and basic neuroscience. These approaches yield metrics of information flow across a network that are not accessible with focal metrics such as functional activation, metabolism or anatomical morphometry. However, there remain fundamental issues, both technical and conceptual, in reducing connectivity information from different imaging techniques into a holistic model of neural connectivity. We will discuss different forms of connectivity, as defined by structural and functional correlation (MRI, fMRI, PET) and DTI tractography, with illustrations in normal and disordered brain.</i></blockquote>
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<span style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><small></small><small><span lang="FR-CA"> He, Y., & Evans, A. (2010). <a href="http://www.researchgate.net/profile/Alan_Evans/publication/44803452_Graph_theoretical_modeling_of_brain_connectivity/file/3deec52457d2992fcc.pdf" style="color: purple;">Graph theoretical modeling of brain connectivity</a>. <i>Current opinion in neurology</i>, 23(4), 341-350.<br /> Bullmore, E. T., & Bassett, D. S. (2011). <a href="http://www.ecnp-congress.eu/%7E/media/Files/ecnp/publication/Talk%20of%20the%20Month/Brain%20Graphs%20-%20Graphical%20Models%20of%20the%20Human%20Brain%20Connectome.pdf" style="color: purple;">Brain graphs: graphical models of the human brain connectome</a>. <i>Annual review of clinical psychology</i>, 7, 113-140.<br /> Sporns, O., Tononi, G., & Kötter, R. (2005). <a href="http://www.ploscompbiol.org/article/info%3Adoi%2F10.1371%2Fjournal.pcbi.0010042" style="color: purple;">The human connectome: a structural description of the human brain</a>. <i>P</i><i>LoS computational biology,</i> 1(4), e42.</span></small></span><br />
<br />Unknownnoreply@blogger.com27tag:blogger.com,1999:blog-2429838311680791328.post-82734904434957264672014-06-08T17:45:00.000-07:002014-07-16T06:23:16.913-07:00<br />
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<span style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><a href="http://users.ecs.soton.ac.uk/lac/" style="color: purple; font-weight: bold;">LES CARR</a></span></div>
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<span style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><span lang="EN-CA"><o:p></o:p></span><span lang="EN-CA">University of Southampton, Web Science</span></span></div>
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PPTX - <a href="http://users.ecs.soton.ac.uk/lac/WebSciMind-ImpactOnSociety.pptx">http://users.ecs.soton.ac.uk/lac/WebSciMind-ImpactOnSociety.pptx</a></div>
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PDF - <a href="http://users.ecs.soton.ac.uk/lac/WebSciMind-ImpactOnSociety.pdf">http://users.ecs.soton.ac.uk/lac/WebSciMind-ImpactOnSociety.pdf</a><br />
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<i><span lang="EN-CA" style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><b>OVERVIEW</b>: The Web is not just an engineered technical artefact because the Web architecture (HTTP, HTML and URIs) is only the kernel of an enormously complex social-technical machine. Phenomena like online banking, Web TV, internet shopping, e-government and social networking are the names that we give to human activities and human agendas that have co-opted the capabilities of this web architecture. While we may look to the Web to offer a source of "big data" for "social analytics", one of the goals of Web Science is to try to find a perspective that helps us to understand the bigger "socio-technical" picture of the Web, and hence to better interpret the data that we harvest from the Web. By looking at specific examples of how the Web has grown and developed (such as open access, open government data), we can start to see some of the principles and mechanisms of the socio-technical Web.</span></i></div>
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<small><b><span lang="EN-CA" style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><small>READINGS:</small></span></b></small></div>
<small><span style="font-family: Arial, Helvetica, sans-serif; font-size: large;"> Tinati, R., Carr, L., Halford, S., Pope, C. (2013) <a href="http://eprints.soton.ac.uk/358946/" style="color: purple;">The HTP Model: Understanding the Development of Social Machine</a>s, WWW2013 Workshop: The Theory and Practice of Social Machines,<br /> Tinati, R., Carr, L., Halford, S., Pope C. (2014) <a href="http://eprints.soton.ac.uk/363637/" style="color: purple;">(Re)Integrating the Web: Beyond ‘Socio-Technical’</a>, WWW2014 </span></small><br />
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<br />Unknownnoreply@blogger.com13tag:blogger.com,1999:blog-2429838311680791328.post-9886456765005628642014-06-08T17:44:00.002-07:002014-07-10T09:33:49.099-07:00<br />
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<b><span lang="EN-CA" style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><a href="http://research.microsoft.com/en-us/people/tonyhey/" style="color: purple;">TONY HEY</a></span></b><br />
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<span style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><b><i><span lang="EN-CA">OVERVIEW:</span></i></b><i><span lang="EN-CA"> Turing award winner, Jim Gray, envisioned a world where all research literature and all research data were online and interoperable. He believed that such a distributed, global digital library could significantly increase the research "information velocity" and improve the scientific productivity of researchers. The last decade has seen significant progress in the move towards open access to scholarly research publications and the removal of barriers to access and re-use. But barrier-free access to the literature alone only scratches the surface of what the revolution of data intensive science promises. Recently, in the US, the White House has called for federal agencies to make all research outputs (publications and data) openly available. But in order to make this effort effective, researchers need better tools to capture and curate their data, and Jim Gray called for 'letting 100 flowers bloom' when it came to research data tools. Universities have the opportunity and obligation to cultivate the next regeneration of professional data scientists who can help define, build, manage, and preserve the necessary data infrastructure. This talk will cover some of the recent progress made in open access and open data, and will discuss some of the opportunities ahead.<o:p></o:p></span></i><span lang="FR-CA"></span></span><br />
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<span style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><span lang="FR-CA"><b><span lang="EN-CA"><small>READINGS:</small></span></b></span><br /><span lang="FR-CA"><b><span lang="EN-CA"></span></b></span></span></div>
<span style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><span lang="FR-CA"> Fox, G., Hey, T., & Trefethen, A. (2013). </span><span lang="FR-CA"><a href="http://grids.ucs.indiana.edu/ptliupages/publications/Where%20does%20all%20the%20data%20come%20from%20v7.pdf" style="color: purple;"><span style="color: black;">Where Does All the Data Come From</span></a></span><span lang="FR-CA">?. <i>Data-Intensive Science</i>, 115.<o:p></o:p></span><span lang="FR-CA"><br /> Hey, T. (2010). </span><span lang="FR-CA"><a href="http://i2ge.com/wp-content/uploads/2012/01/Next-Scientific-Revolution.pdf" style="color: purple;"><span style="color: black;">The next scientific revolution</span></a></span><span lang="FR-CA">. <i>Harv Bus Rev</i>, <i>88</i>(11), 56-63.<o:p></o:p></span><span lang="EN-CA"> The Fourth Paradigm: Data-Intensive Scientific Discovery Book 2009 <o:p></o:p></span><span lang="FR-CA"></span><span lang="FR-CA"><br /></span></span><br />
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<span style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><span lang="FR-CA"><a href="http://research.microsoft.com/en-us/collaboration/fourthparadigm/default.aspx%20" style="color: purple;"><span lang="EN-CA">http://research.microsoft.com/en-us/collaboration/fourthparadigm/default.aspx</span></a></span><span lang="EN-CA"> </span><span lang="FR-CA"></span><br /><span lang="FR-CA"><a href="http://eprints.rclis.org/9202/1/heyhey_final_web.pdf" style="color: purple;"><span lang="EN-CA">http://eprints.rclis.org/9202/1/heyhey_final_web.pdf</span></a></span></span></blockquote>
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Unknownnoreply@blogger.com33tag:blogger.com,1999:blog-2429838311680791328.post-82301075057553205222014-06-08T17:43:00.002-07:002014-06-17T12:06:40.629-07:00<br />
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<b><span lang="EN-CA" style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><big><big>Scholarly Big Data: Information Extraction and Data Mining</big></big></span></b></div>
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<b style="color: purple;"><span lang="EN-CA" style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><a href="http://clgiles.ist.psu.edu/" style="color: purple;">LEE GILES</a></span></b></div>
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<span style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><span lang="EN-CA"><o:p></o:p></span><span lang="EN-CA">Pennsylvania State University</span></span><br />
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<i><span lang="EN-CA" style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><b>Overview:</b> Collections of scholarly documents are usually not thought of as big data. However, large collections of scholarly documents often have many millions of publications, authors, citations, equations, figures, etc., and large scale related data and structures such as social networks, slides, data sets, etc. We discuss scholarly big data challenges, insights, methodologies and applications. We illustrate scholarly big data issues with examples of specialized search engines and recommendation systems based on the SeerSuite software. Using information extraction and data mining, we illustrate applications in such diverse areas as computer science, chemistry, archaeology, acknowledgements, citation recommendation, collaboration recommendation, and others.<o:p></o:p></span></i><br />
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<b><span lang="EN-CA" style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><small>READINGS:</small></span></b></div>
<span style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><span lang="FR-CA"> Khabsa, M & Giles, C.L. (2014) <a href="http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0093949#pone-0093949-g003" style="color: purple;">The Number of Scholarly Documents on the Web</a>. PLOS ONE 10.1371/journal.pone.0093949<br /> Caragea, C., Wu, J., Ciobanu, A., Williams, K., Fernandez-Ramrez, J., Chen, H. H., ... & Giles, L. (2014). </span><span lang="FR-CA"><a href="http://www.cse.unt.edu/%7Eccaragea/papers/ecir14.pdf" style="color: purple;"><span style="color: black;">CiteSeer x: A Scholarly Big Dataset</span></a></span><span lang="FR-CA">. In <i>Advances in Information Retrieval</i> (pp. 311-322). Springer International Publishing.</span></span><br />
<span lang="FR-CA" style="font-family: Arial, Helvetica, sans-serif; font-size: large;"> Flake, G. W., Lawrence, S., Giles, C. L., & Coetzee, F. M. (2002). </span><span lang="FR-CA" style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><a href="http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.387.5730&rep=rep1&type=pdf" style="color: purple;"><span style="color: black;">Self-organization and identification of web communities</span></a></span><span lang="FR-CA" style="font-family: Arial, Helvetica, sans-serif; font-size: large;">. <i>Computer</i>, <i>35</i>(3), 66-70.</span>Unknownnoreply@blogger.com20tag:blogger.com,1999:blog-2429838311680791328.post-24269700909597705682014-06-08T17:42:00.002-07:002014-07-10T09:43:45.123-07:00<div class="MsoNormal" style="font-family: 'Times New Roman'; margin: 0cm 0cm 0.0001pt;">
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<b><span lang="EN-CA" style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><big><big>New Models of Scholarly Communication for Digital Scholarship</big></big></span></b></div>
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<span style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><a href="http://www.ischool.pitt.edu/people/griffin.php" style="color: purple;"><b><span lang="EN-CA">STEPHEN GRIFFIN</span></b></a> </span></div>
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<span style="font-family: Arial, Helvetica, sans-serif; font-size: large;">University of Pittsburgh, School of Information Science</span></div>
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<span style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><b><i><span lang="EN-CA">OVERVIEW:</span></i></b><i><span lang="EN-CA"> </span></i><i><span lang="EN-CA">Contemporary research and scholarship increasingly uses large-scale datasets and computationally intensive processing. Cultural shifts in the scholarly community challenge long-standing of academic institutions and call into question the efficacy and fairness of traditional models of scholarly communication. Scholars are also calling for greater authority in the publication of their works and rights management. Agreement is growing on how best to manage and share massive amounts of diverse and complex information objects. Open standards and technologies allow interoperability across institutional repositories. Content level interoperability based on semantic web and linked open data standards is becoming more common. Information research objects are increasingly thought of as social as well as data objects - promoting knowledge creation and sharing and possessing qualities that promote new forms of scholarly arrangements and collaboration. This talk will present alternative paths for expanding the scope and reach of digital scholarship and robust models of scholarly communication necessary for full reporting. The overall goals are to increase research productivity and impact, and to give scholars a new type of intellectual freedom of expression.<o:p></o:p></span></i></span><br />
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<b><span lang="EN-CA" style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><small>READINGS:</small></span></b></div>
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<span style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><span lang="FR-CA"><small> Griffin, S. (2013) S<a href="http://www.cni.org/topics/scholarly-communication/scholarly-communication-new-models-for-digital-scholarship-workflows/" style="color: purple;">cholarly Communication: New Models for Digital Scholarship Workflows</a> Coalition for Networked Information, Spring 2013 Meeting<br /> Griffin, S. et al (2014) <a href="http://openaccess.unt.edu/denton-declaration" style="color: purple;">The Denton Declaration: An Open Data Manifesto </a><br /> Borgman, C.L. (2013) <a href="http://works.bepress.com/borgman/273/" style="color: purple;">Digital Scholarship and Digital Libraries: Past, Present, and Future </a>Theory and Practice of Digital Libraries Conference, September 2013</small></span><span lang="FR-CA"><small><br /> Calhoun, K (2014) Exploring Digital Libraries: Foundations, practice, prospects Facet Publishing London, UK</small></span><b><span lang="FR-CA"><o:p></o:p></span></b></span></div>
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<span lang="EN-CA" style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><a href="http://www.openscholarship.org/jcms/c_5012/en/home" style="color: purple;">http://www.openscholarship.org/jcms/c_5012/en/home<span lang="FR-CA"><o:p></o:p></span></a></span></div>
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<span lang="EN-CA" style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><a href="http://www.ischool.pitt.edu/scholarlycom/" style="color: purple;">http://www.ischool.pitt.edu/scholarlycom/<span lang="EN-US"><o:p></o:p></span></a></span></div>
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<span style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><a href="http://www.sis.pitt.edu/%7Erepwkshop" style="color: purple;"><span lang="EN-CA">http://www.sis.pitt.edu/~repwkshop (from Internet Archive Wayback Machine)</span></a><span lang="EN-CA"><o:p></o:p></span></span></div>
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<span lang="EN-CA" style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><a href="http://www.digitalhumanities.org/dhq/vol/3/1/000035/000035.html" style="color: purple;">http://www.digitalhumanities.org/dhq/vol/3/1/000035/000035.html<span lang="EN-US"><o:p></o:p></span></a></span></div>
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<span lang="EN-CA" style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><a href="http://en.wikipedia.org/wiki/E-Science" style="color: purple;">http://en.wikipedia.org/wiki/E-Science<span lang="EN-US"><o:p></o:p></span></a></span></div>
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<span lang="EN-CA" style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><a href="http://journalofdigitalhumanities.org/" style="color: purple;">http://journalofdigitalhumanities.org/<span lang="EN-US"><o:p></o:p></span></a></span></div>
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<span style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><span lang="EN-CA"><a href="http://chia.pitt.edu/" style="color: purple; text-decoration: underline;">http://chia.pitt.edu/<span lang="EN-US"><o:p></o:p></span></a></span><span lang="EN-CA"><br /><a href="http://www.perseus.tufts.edu/hopper/" style="color: purple; text-decoration: underline;">http://www.perseus.tufts.edu/hopper/</a></span></span></div>
Unknownnoreply@blogger.com35tag:blogger.com,1999:blog-2429838311680791328.post-49526690603867796462014-06-08T17:39:00.005-07:002014-07-11T08:04:47.306-07:00<br />
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<b><span lang="EN-CA" style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><big><big>Transformations in Scholarly Communication in the Digital World</big></big></span></b></div>
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<b style="color: purple;"><span lang="FR-CA" style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><a href="http://www.ebsi.umontreal.ca/repertoire-ecole/vue/lariviere-vincent/" style="color: purple;">VINCENT LARIVIERE</a></span></b></div>
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<span lang="FR-CA" style="font-family: Arial, Helvetica, sans-serif; font-size: large;">Universite de Montreal</span><br />
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<i><span lang="EN-CA" style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><b>Overview:</b> Digital technologies — easy to update, reuse, access and transmit and require little space — have changed how researchers produce and disseminate scientific knowledge. Based on quantitative studies in the sociology of science, this talk will discuss these transformations, higlighting three aspects: the increase of scientific collaboration, the diversification of publication venues, and the use of social media.<o:p></o:p></span></i></div>
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<b><span lang="EN-CA" style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><small>READINGS:</small></span></b></div>
<span style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><span lang="FR-CA"> Wallace, M. L., Lariviere, V., & Gingras, Y. (2012). </span><span lang="FR-CA"><a href="http://dx.plos.org/10.1371/journal.pone.0033339.g005" style="color: purple;"><span style="color: black;">A small world of citations? The influence of collaboration networks on citation practices</span></a></span><span lang="FR-CA">. <i>PloS one</i>, <i>7</i>(3), e33339.<o:p></o:p></span><span lang="FR-CA"><br /> Lariviere, V., Gingras, Y., & Archambault, E. (2006). </span><span lang="FR-CA"><a href="http://www.chss.uqam.ca/Portals/0/docs/Canadian_Networks_Final.pdf" style="color: purple;"><span style="color: black;">Canadian collaboration networks: A comparative analysis of the natural sciences, social sciences and the humanities</span></a></span><span lang="FR-CA">. <i>Scientometrics</i>,<i>68</i>(3), 519-533.<o:p></o:p></span> <span lang="FR-CA"><br /> Bollen, J., Van de Sompel, H., Hagberg, A., & Chute, R. (2009). </span><span lang="FR-CA"><a href="http://dx.plos.org/10.1371/journal.pone.0006022" style="color: purple;"><span style="color: black;">A principal component analysis of 39 scientific impact measures</span></a></span><span lang="FR-CA">. <i>PloS one</i>, <i>4</i>(6), e6022.<br /> <a href="http://www.chss.uqam.ca/Portals/0/docs/Canadian_Networks_Final.pdf" style="color: purple;">http://www.chss.uqam.ca/Portals/0/docs/Canadian_Networks_Final.pdf</a><br /> <a href="http://ella.slis.indiana.edu/%7Esugimoto/preprints/OnTheRelationship.pdf" style="color: purple;">http://ella.slis.indiana.edu/~sugimoto/preprints/OnTheRelationship.pdf</a><br /> <a href="http://arxiv.org/abs/1304.6460" style="color: purple;">http://arxiv.org/abs/1304.6460</a><br /> <a href="http://arxiv.org/abs/1205.4328" style="color: purple;">http://arxiv.org/abs/1205.4328</a><br /> <a href="http://arxiv.org/abs/1308.1838" style="color: purple;">http://arxiv.org/abs/1308.1838</a><br /> <a href="http://arxiv.org/abs/0809.5250" style="color: purple;">http://arxiv.org/abs/0809.5250</a></span></span>Unknownnoreply@blogger.com26tag:blogger.com,1999:blog-2429838311680791328.post-24431918111490731652014-06-08T17:38:00.000-07:002014-07-10T09:32:04.173-07:00<br />
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<b><span lang="EN-CA" style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><big><big>Web Impact Metrics for Research Assessment</big></big></span></b></div>
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<b style="color: purple;"><span lang="EN-CA" style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><a href="http://www.koosha.tripod.com/koushafullcv.pdf" style="color: purple;">KAYVAN KOUSHA</a></span></b></div>
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<span style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><a href="http://www.koosha.tripod.com/koushafullcv.pdf"><span lang="EN-CA" style="color: purple;"><o:p></o:p></span></a><span lang="EN-CA">University of Wolverhampton, Statistical Cybermetrics</span></span></div>
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<i><span lang="EN-CA" style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><b>Overview: </b>Web metrics are being increasingly explored in the assessment research impact. Hyperlinks, web citations, and URL citations can today be systematically compared with conventional measures (e.g., Web of Science citation counts). Formal citations are also being extracted from web databases and digital libraries by CiteSeer, Google Scholar, and from the huge digitized database of Google Books. These may prove informative as alternative and supplementary citation impact metrics, especially in the social sciences, arts and humanities, where traditional citation indexes are not available or have insufficient coverage. New web impact metrics come from citations in online syllabi and course reading lists, which reflect the educational impact of research, and from download counts of academic publications, which reflect reading and usage. Social impact metrics or Altmetrics — including social bookmarks, tweets, online reading of scientific publications, and viewings of online academic videos — are also emerging. Web impact metrics need to be used cautiously in research evaluation, however, because they still suffer from a generic lack of quality control compared with traditional citation metrics.<br /><o:p></o:p></span></i></div>
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<b><span lang="EN-CA" style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><small>READINGS:</small><o:p></o:p></span></b></div>
<span style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><span lang="FR-CA"> Kousha, K. & Thelwall, M. (2014). <a href="http://www.google.ca/url?sa=t&rct=j&q=&esrc=s&source=web&cd=4&cad=rja&uact=8&ved=0CEQQFjAD&url=http%3A%2F%2Fwww.koosha.tripod.com%2Fsummary_mit_kousha_thelwall.pdf&ei=TWWEU9Mq8OnwAcC8gJgB&usg=AFQjCNEx3pvd5rtjkzqE7Ou1URuNIkVifQ&sig2=xit5wCga3j5VlHP4g-a3dw" style="color: purple;">Web Impact Metrics for Research Assessment</a>. In: B. Cronin & C.R. Sugimoto, (Eds), Beyond Bibliometrics: Harnessing Multidimensional Indicators of Scholarly Impact, MIT Press.<br /> Thelwall, M., Vaughan, L., & Bjorneborn, L. (2005). </span><span lang="FR-CA"><a href="http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.118.5694&rep=rep1&type=pdf" style="color: purple;"><span style="color: black;">Webometrics</span></a></span><span lang="FR-CA">. <i>ARIST</i>, <i>39</i>(1), 81-135.<o:p></o:p></span> <span lang="FR-CA"><br /> Kousha, K., & Thelwall, M. (2007). </span><span lang="FR-CA"><a href="http://eprints.rclis.org/7641/1/google.pdf" style="color: purple;"><span style="color: black;">Google Scholar citations and Google Web/URL citations: A multi</span>‐<span style="color: black;">discipline exploratory analysis</span></a></span><span lang="FR-CA">. <i>Journal of the American Society for Information Science and Technology</i>, <i>58</i>(7), 1055-1065.</span></span><br />
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Unknownnoreply@blogger.com28tag:blogger.com,1999:blog-2429838311680791328.post-83193874058419527012014-06-08T17:36:00.004-07:002014-07-15T09:20:25.669-07:00<br />
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<b><span lang="EN-CA" style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><big><big>Humanexus: Envisioning Communication and Collaboration</big></big></span></b></div>
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<b style="color: purple;"><span lang="EN-CA" style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><a href="http://info.slis.indiana.edu/%7Ekaty/" style="color: purple;">KATY BORNER</a></span></b></div>
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<span style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><b style="color: purple;"><span lang="EN-CA"><a href="http://info.slis.indiana.edu/%7Ekaty/"><o:p></o:p></a></span></b><span lang="EN-CA">Indiana University</span></span><br />
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<i><span lang="EN-CA" style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><b>Overview:</b> This presentation opens with a screening of Humanexus, an award-winning semi-documentary that visualizes human communication from the Stone Age to today and beyond. The film aims to make tangible the enormous changes in the quantity and quality of our collective knowledge and the impact of different media and distribution systems on knowledge exchange. It follows a presentation and discussion of recent collaborative work on scholarly communication and collaboration. Last but not least, everyone will be invited to explore the Information Visualization MOOC (for free or for IU credits) and to visit the Places & Spaces: Mapping Science exhibit on display at the summer school.<br /><o:p></o:p></span></i><br />
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<small><b><span lang="EN-CA" style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><small>READINGS:</small><o:p></o:p></span></b></small></div>
<small><span style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><span lang="FR-CA"> Stipelman, Brooke A., Hall, Kara L., Zoss, Angela, Okamoto, Janet, Stokols, Dan, and Börner, Katy (submitted) Mapping the Impact of Transdisciplinary Research: A Visual Comparison of Investigator Initiated and Team Based Tobacco Use Research Publications. <i>The Journal of Translational Medicine and Epidemiology</i>.<br /> Bollen, Johan, David Crandall, Damion Junk, Ying Ding, and Katy Börner. 2014. <a href="http://cns.iu.edu/docs/publications/2014-bollen-collective-EMBO.pdf">From funding agencies to scientific agency: Collective allocation of science funding as an alternative to peer review</a>. <i>EMBO Reports</i> 15 (1): 1-121.<br /> Mazloumian, Amin, Dirk Helbing, Sergi Lozano, Robert Light, and Katy Börner. 2013. <a href="http://cns.iu.edu/docs/publications/2013-mazloumian-food-web.pdf">Global Multi-Level Analysis of the 'Scientific Food Web'</a>. <i>Scientific Reports</i> 3, 1167.<br /> Börner, Katy, Noshir S. Contractor, Holly J. Falk-Krzesinski, Stephen M. Fiore, Kara L. Hall, Joann Keyton, Bonnie Spring, Daniel Stokols, William Trochim, and Brian Uzzi. 2010. <a href="http://cns.iu.edu/docs/publications/2010-borner-et-al-multi-level-teamsci.pdf">A Multi-Level Systems Perspective for the Science of Team Science</a>. <i>Science Translational Medicine</i> 2 (49): 49(cm)24. </span><span lang="FR-CA"></span></span></small><br />
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<small><b><span style="font-family: Arial, Helvetica, sans-serif; font-size: large;">Relevant books:</span></b></small></div>
<small><span style="font-family: Arial, Helvetica, sans-serif; font-size: large;"> Börner, Katy, and David E. Polley. 2014. Visual Insights: A Practical Guide to Making Sense of Data. Cambridge, MA: The MIT Press.<br /> Scharnhorst, Andrea, Katy Börner, and Peter van den Besselaar, eds. 2012. Models of Science Dynamics: Encounters Between Complexity Theory and Information Science. Springer Verlag.<br /> Börner, Katy, Mike Conlon, Jon Corson-Rikert, and Ying Ding, eds. 2012. VIVO: A Semantic Approach to Scholarly Networking and Discovery. Morgan & Claypool Publishers LLC.<br /> Börner, Katy. 2010. Atlas of Science: Visualizing What We Know. The MIT Press.<br /> <a href="http://cns.iu.edu/humanexus" style="color: purple;">Humanexus</a><br /> <a href="http://ivmooc.cns.iu.edu/" style="color: purple;">Information Visualization MOOC</a><br /> <a href="http://scimaps.org/" style="color: purple;">Places & Spaces: Mapping Science exhibit</a> </span></small>Unknownnoreply@blogger.com26tag:blogger.com,1999:blog-2429838311680791328.post-45533546233047096492014-06-08T17:35:00.004-07:002014-07-11T08:05:34.899-07:00<br />
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<b><span lang="EN-CA" style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><big><big>Visualizing Dynamic Interactions</big></big></span></b></div>
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<b><span lang="EN-CA" style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><big><big><br /></big></big></span></b></div>
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<b style="color: purple;"><span lang="EN-CA" style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><a href="https://www.lri.fr/%7Efekete/" style="color: purple;">JEAN-DANIEL FEKETE</a></span></b></div>
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<span style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><span lang="EN-CA"><o:p></o:p></span><span lang="FR-CA">Institut National de Recherche en Informatique et Automatique (INRIA)</span> <span lang="FR-CA"></span><span lang="FR-CA">Saclay - ile-de-France</span></span></div>
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<b style="font-family: Arial, Helvetica, sans-serif; font-size: x-large;"><a href="http://youtu.be/rFm1qg3_t-8">VIDEO</a></b></div>
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<i><span lang="EN-CA" style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><i><span lang="EN-CA"><b><i><span lang="EN-CA"><b>OVERVIEW:</b></span></i></b> </span></i>Graphs are powerful mathematical structures for modeling and representing many natural phenomena. In trying to explore and make sense of graphs collected in the wild — such as social interactions stored by social network sites or correlations between brain signals obtained using fMRI — visualization is often used. However, traditional visualization techniques are limited to sparse graphs: dense graphs are unreadable. Much progress has been made recently using matrix-based and hybrid visualizations to explore large and dense networks. Although understanding the visualization of the adjacency matrix of a graph is not as immediate as the traditional node-link representation, it does not suffer from most of its drawbacks and only takes a few minutes to grasp, a very reasonable time considering its expressive power. I’ll show how this relatively novel representation can be used to visualize many types of graphs, even dynamic graphs, with no limitation on density and good scalability. I'll show some results on social networks and brain signals.</span></i><br />
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<b><span lang="EN-CA" style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><small>READINGS:</small><o:p></o:p></span></b></div>
<span style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><span lang="FR-CA"> Wybrow, M., Elmqvist, N., Fekete, J. D., von Landesberger, T., van Wijk, J. J., & Zimmer, B. (2014). </span><span lang="FR-CA"><a href="http://hal.archives-ouvertes.fr/docs/00/97/43/35/PDF/04-Interaction.pdf" style="color: purple;"><span style="color: black;">Interaction in the Visualization of Multivariate Networks</span></a></span><span lang="FR-CA">. In <i>Multivariate Network Visualization</i> (pp. 97-125). Springer International Publishing.<o:p></o:p></span> <span lang="FR-CA"><br /> Bach, B., Pietriga, E., & Fekete, J. D. (2014, April). </span><span lang="FR-CA"><a href="http://hal.inria.fr/docs/00/93/19/11/PDF/cubix_acc2.pdf" style="color: purple;"><span style="color: black;">Visualizing Dynamic Networks with Matrix Cubes</span></a></span><span lang="FR-CA">. In <i>SICCHI Conference on Human Factors in Computing Systems (CHI)</i>.</span></span><span style="font-family: Times New Roman, Times, serif;"><br /></span>Unknownnoreply@blogger.com23tag:blogger.com,1999:blog-2429838311680791328.post-16293941003760245702014-06-08T17:34:00.002-07:002014-07-14T08:54:09.624-07:00<br />
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<b><span lang="EN-CA" style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><big><big>Visual Tools for Interacting with Large Networks</big></big></span></b></div>
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<b><span lang="EN-CA" style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><big><big><br /></big></big></span></b></div>
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<b style="color: purple;"><span lang="EN-CA" style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><a href="http://www.mcgill.ca/sis/people/faculty/julien" style="color: purple;">CHARLES-ANTOINE JULIEN</a></span></b></div>
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<span style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><span lang="EN-CA"><o:p></o:p></span><span lang="FR-CA">Mcgill University</span></span><br />
<span style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><span lang="FR-CA">School of Information Studies</span></span><br />
<i><span lang="EN-CA" style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><br /></span></i>
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<span lang="EN-CA" style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><b><a href="http://youtu.be/GHuwphP0tss">VIDEO</a></b></span><br />
<i><span lang="EN-CA" style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><br /></span></i>
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<span style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><i><span lang="EN-CA"> </span></i><i style="text-align: center;"><span lang="EN-CA"><b>OVERVIEW</b><b>:</b> Useful real-work networks tend
to be large and complex, which makes them difficult to
browse and navigate by humans. Visual interfaces can
mitigate this problem but these tools inevitably suffer
from scalability issues, which have led to the
development of various clutter reduction techniques such
as sampling and filtering. We present and discuss
ongoing work concerning visual tools for information
exploration and retrieval using large semantic ontology
networks (e.g., Library of Congress Subject Headings,
Medical Subject Headings, personal information folder
structures), which aim to help searchers describe and
recognize the information they seek, and discover
previously unknown and valuable topics.</span></i></span><br />
<span style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><i style="text-align: center;"><span lang="EN-CA"><br /></span></i></span></div>
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<span lang="EN-CA"><b><span style="font-family: Arial, Helvetica, sans-serif; font-size: large;">READINGS:</span></b></span></div>
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</span>
<span style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><span lang="EN-CA"><span lang="EN-CA"> </span></span>Ellis, G., & Dix, A. (2007). <a href="http://core.kmi.open.ac.uk/download/pdf/70210.pdf">A taxonomy of
clutter reduction for information visualisation</a>.
IEEE Transactions on Visualization and Computer
Graphics, 13, 1216-1223. </span><br />
<span style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><span lang="EN-CA"><span lang="EN-CA">
Gruber, T. (2008). <a href="http://web.dfc.unibo.it/buzzetti/IUcorso2007-08/mdidattici/ontology-definition-2007.htm">Ontology</a>. In Liu, Ling; Özsu, M.
Tamer. Encyclopedia of Database Systems.
Springer-Verlag. </span></span><br />
<span lang="EN-CA"><span lang="EN-CA">
Katifori, A., Halatsis, C., Lepouras, G.,
Vassilakis, C., & Giannopoulou, E. (2007).
<a href="http://disi.unitn.it/%7Ep2p/RelatedWork/Matching/a10-katifori.pdf">Ontology visualiazation methods - a survey</a>. ACM
Computing Surveys, 39(4, article 10), 1-43. </span></span><br />
<span lang="EN-CA"><span lang="EN-CA">von
Landesberger, T., Kuijper, A., Schreck, T.,
Kohlhammer, J., van Wijk, J. J., Fekete, J. D.,
& Fellner, D. W. (2011). <a href="http://hal.archives-ouvertes.fr/docs/00/71/27/79/PDF/CGF_STARnochanges-red.pdf">Visual Analysis of
Large Graphs: State-of-the-Art and Future Research
Challenges</a>. Computer Graphics Forum, 30(6),
1719-1749. </span></span></span><span style="font-family: Arial;"><br /></span>Unknownnoreply@blogger.com28tag:blogger.com,1999:blog-2429838311680791328.post-48034029818735917582014-06-08T17:33:00.003-07:002014-07-14T08:53:20.380-07:00<br />
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<b><span lang="EN-CA" style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><big><big>Collaborative Innovation Networks</big></big></span></b></div>
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<b style="color: purple;"><span lang="EN-CA" style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><a href="http://cci.mit.edu/pgloor/" style="color: purple;">PETER GLOOR</a></span></b><br />
<span style="font-family: Arial, Helvetica, sans-serif; font-size: large;">MIT </span><br />
<span style="font-family: Arial, Helvetica, sans-serif; font-size: large;">Center for Collective Intelligence</span></div>
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<span style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><b><a href="http://youtu.be/proRFx_Ie1c">VIDEO</a></b></span></div>
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<span style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><b><i><span lang="EN-CA">OVERVIEW:</span></i></b><i><span lang="EN-CA"> Every disruptive innovation is not the result of a lone inventor, but of a small group of likeminded individuals, working together in close collaboration to get their cool idea off the ground. They are leveraging the concept of swarm creativity, where this small team - the Collaborative Innovation Network (COIN) - empowered by the collaborative technologies of the Internet and social media, turns their creative labor of love into a product that changes the way how we think, work, or spend our day.<o:p></o:p></span></i></span></div>
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<i><span lang="EN-CA" style="font-family: Arial, Helvetica, sans-serif; font-size: large;">This talk describes a series of ongoing projects at the MIT Center for Collective Intelligence with the goal of analyzing the new idea creation process through tracking human interaction patterns on three levels:<o:p></o:p></span></i></div>
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<span style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><i><span lang="EN-CA">On the global level, macro- and microeconomic indicators such as the valuation of companies and consumer indices, or election outcomes, are predicted based on social media analysis on Twitter, Blogs, and Wikipedia. On the organizational level, productivity and creativity of companies and teams is measured through extracting 'honest signals' from communication archives such as company e-mail. On the individual level, individual and team creativity is analyzed through face-to-face interaction with sociometric badges and personal e-mail logs. </span></i><i> </i><i><span lang="EN-CA"> <o:p></o:p></span></i></span></div>
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<i><span lang="EN-CA" style="font-family: Arial, Helvetica, sans-serif; font-size: large;">The talk introduces the concept of coolhunting, finding new trends by finding the trendsetters, and coolfarming, helping the trendsetters getting their idea over the tipping point. The talk also presents the concept of 'Virtual Mirroring', increasing individual and team creativity by analyzing and optimizing five inter-personal interaction variables of honest communication: 'strong leadership', 'rotating leaders', 'balanced contribution', 'fast response', and 'honest sentiment.'<o:p></o:p></span></i><br />
<i><span lang="EN-CA" style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><br /></span></i></div>
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<b><span lang="EN-CA" style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><small>READINGS<span style="font-size: large;">:</span></small></span></b></div>
<span style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><span lang="FR-CA"> Gloor, P. A., Krauss, J., Nann, S., Fischbach, K., & Schoder, D. (2009, August). </span><span lang="FR-CA"><a href="http://dspace.mit.edu/openaccess-disseminate/1721.1/59353" style="color: purple;"><span style="color: black;">Web science 2.0: Identifying trends through semantic social network analysis</span></a></span><span lang="FR-CA">. In <i>Computational Science and Engineering, 2009. CSE'09. International Conference on</i> (Vol. 4, pp. 215-222). IEEE.<o:p></o:p></span><span lang="FR-CA"><br /> Kleeb, R., Gloor, P. A., Nemoto, K., & Henninger, M. (2012). </span><span lang="FR-CA"><a href="http://www.atelier.net/sites/default/files/etude/wikimaps.pdf" style="color: purple;"><span style="color: black;">Wikimaps: dynamic maps of knowledge</span></a></span><span lang="FR-CA">. <i>International Journal of Organisational Design and Engineering</i>, <i>2</i>(2), 204-224.</span><br /> Gloor, P. (2010) Coolfarming - Turn Your Great Idea Into The Next Big Thing <a href="http://www.amazon.com/Coolfarming-Turn-Your-Great-Thing/dp/0814413862/" style="color: purple;">AMACOM, NY</a><span lang="FR-CA"></span><br /> Gloor, P. (2006) Swarm Creativity, Competitive Advantage Through Collaborative Innovation Networks. <a href="http://www.amazon.com/Swarm-Creativity-Competitive-Collaborative-Innovation/dp/0195304128" style="color: purple;">Oxford</a> </span><br />
<br />Unknownnoreply@blogger.com27tag:blogger.com,1999:blog-2429838311680791328.post-90546214997562930592014-06-08T17:32:00.003-07:002014-06-17T12:14:47.283-07:00<br />
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<b><span lang="EN-CA" style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><big><big>Network Ready Research: </big></big></span></b></div>
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<b><span lang="EN-CA" style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><big><big>The Role of Open Source and Open Thinking</big></big></span></b></div>
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<span style="font-family: Arial, Helvetica, sans-serif; font-size: large; font-weight: bold;"><br /></span></div>
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<b style="color: purple;"><span lang="EN-CA" style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><a href="http://www.plos.org/staff/cameron-neylon/" style="color: purple;">CAMERON NEYLON</a></span></b><br />
<span style="font-family: Arial, Helvetica, sans-serif; font-size: large;">PLOS (Public Library of Science)</span></div>
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<span style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><b><i><span lang="EN-CA">OVERVIEW:</span></i></b><i><span lang="EN-CA"> The highest principle of network architecture design is interoperability. Metcalfe's Law says a network's value can scale as some exponent of the number of connections. Our job in building networks is to ensure that those connections are as numerous, operational, and <o:p></o:p></span></i><i><span lang="EN-CA">easy to create as possible. Informatics is a science of networks: of physical interactions, genetic control, degree of similarity, or ecological interactions, amongst many others. Informatics is also amongst the most networked of research communities and amongst the most open in the sharing of research papers, research data, tools, and even research in process in online conversations and writing. Lifting our gaze from the networks we work on to the networks we occupy is a challenge. Our human networks are messy and contingent and our machine networks clogged with things we can't use, even if we could access them. What principles can we apply to build our research to make the most of the network infrastructure we have around us. Where are the pitfalls and the opportunities? What will it take to configure our work so as to enable "network ready research"?<o:p></o:p></span></i></span><br />
<i><span lang="EN-CA" style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><br /></span></i></div>
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<b><span lang="EN-CA" style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><small>READINGS:</small></span></b></div>
<span style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><span lang="FR-CA"> Molloy, J. C. (2011). </span><span lang="FR-CA"><a href="http://dx.plos.org/10.1371/journal.pbio.1001195.g001" style="color: purple;"><span style="color: black;">The open knowledge foundation: open data means better science</span></a></span><span lang="FR-CA">. <i>PLoS biology</i>, <i>9</i>(12), e1001195.<o:p></o:p></span><span lang="FR-CA"><br /> Whyte, A., & Pryor, G. (2011). </span><span lang="FR-CA"><a href="http://ijdc.net/index.php/ijdc/article/viewFile/173/241" style="color: purple;"><span style="color: black;">Open science in practice: Researcher perspectives and participation</span></a></span><span lang="FR-CA">. <i>International Journal of Digital Curation</i>, <i>6</i>(1), 199-213.</span><b><span lang="FR-CA"><o:p></o:p></span></b></span><br />
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<span style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><a href="http://cameronneylon.net/blog/fork-merge-and-crowd-sourcing-data-curation/" style="color: purple;"><span lang="EN-CA">http://cameronneylon.net/blog/fork-merge-and-crowd-sourcing-data-curation/</span></a><span class="MsoHyperlink" style="color: blue; text-decoration: underline;"></span><span class="MsoHyperlink" style="color: blue; text-decoration: underline;"><span lang="FR-CA"><o:p></o:p></span></span></span></div>
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<a href="https://www.youtube.com/watch?v=Axr80qm6NHw" style="color: purple;"><span lang="EN-CA" style="font-family: Arial, Helvetica, sans-serif; font-size: large;">https://www.youtube.com/watch?v=Axr80qm6NHw</span></a></div>
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Unknownnoreply@blogger.com21tag:blogger.com,1999:blog-2429838311680791328.post-66040147101607870622014-06-08T17:31:00.003-07:002014-07-14T11:11:28.280-07:00<br />
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<b><span lang="EN-CA" style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><big><big>Learning Along with Others</big></big></span></b></div>
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<b><span lang="EN-CA" style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><a href="http://psych.indiana.edu/faculty/rgoldsto.php" style="color: purple;">ROBERT GOLDSTONE</a></span></b><br />
<span lang="EN-CA" style="font-family: Arial, Helvetica, sans-serif; font-size: large;">Psychological and Brain Sciences</span><br />
<span lang="EN-CA" style="font-family: Arial, Helvetica, sans-serif; font-size: large;">Indiana University</span><br />
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<span lang="EN-CA" style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><b><a href="http://youtu.be/vIyFGM5p40w">VIDEO</a></b></span></div>
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<i><span lang="EN-CA" style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><b>Overview</b>: We have developed internet-enabled experimental platforms to explore group patterns that emerge when people can see and imitate the solutions, innovations, and choices of their peers over several rounds. Experiments and simulations show that there is a systematic relation between the difficulty of a problem search space and the optimal social network for transmitting solutions. With more complex search spaces, people imitate: prevalent options, options that become increasingly prevalent, high-scoring options, solutions similar to one’s own solution, and during the early stages of an extended search process. Historical records of baby names show that naming choices are influenced by both the frequency of a name, and increasingly by its “momentum” in the recent past.<br /><o:p></o:p></span></i><br />
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<b><span lang="EN-CA" style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><small>READINGS:</small></span></b></div>
<span style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><span lang="FR-CA"> Goldstone, R. L., Wisdom, T. N., Roberts, M. E., & Frey, S. (2013). <a href="http://www.indiana.edu/%7Epcl/papers/learningwithothers.pdf" style="color: purple;">Learning along with others</a>. Psychology of Learning and Motivation, 58, 1-45. </span><span lang="FR-CA"><br /> Wisdom, T. N., Song, X., & Goldstone, R. L. (2013). </span><span lang="FR-CA"><a href="http://www.indiana.edu/%7Epcl/papers/imitationinnovation.pdf" style="color: purple;"><span style="color: black;">Social Learning Strategies in Networked Groups</span></a></span><span lang="FR-CA">. <i>Cognitive science</i>, <i>37</i>(8), 1383-1425.<o:p></o:p></span> <span lang="FR-CA"><br /> Theiner, G., Allen, C., & Goldstone, R. L. (2010). </span><span lang="FR-CA"><a href="http://colinallen.dnsalias.org/Papers/Published/2010/2010-Theiner-etal-CogSys.pdf" style="color: purple;"><span style="color: black;">Recognizing group cognition</span></a></span><span lang="FR-CA">. <i>Cognitive Systems Research</i>, <i>11</i>(4), 378-395.</span><br /> Frey, S., & Goldstone, R. L. (2013). <a href="http://www.indiana.edu/%7Epcl/papers/modgame.pdf" style="color: purple;">Cyclic game dynamics driven by iterated reasoning</a>. <i>PLoS One</i>, 8(2)<br /> Roberts, M. E., & Goldstone, R. L. (2011). <a href="http://cognitrn.psych.indiana.edu/rgoldsto/pdfs/groupbinarysearch.pdf" style="color: purple;">Adaptive Group Coordination and Role Differentiation</a>. <i>PLoS One</i>, 6, 1-8.<br /> Gureckis, T. M., & Goldstone, R. L. (2009). <a href="http://cognitrn.psych.indiana.edu/rgoldsto/pdfs/babynames.pdf" style="color: purple;">How you named your child: Understanding the relationship between individual decision-making and collective outcomes</a>. <i>Topics in Cognitive Science</i>, 1, 651-674. </span><br />
<br />Unknownnoreply@blogger.com30tag:blogger.com,1999:blog-2429838311680791328.post-33714848788370476812014-06-08T17:30:00.003-07:002014-07-08T05:32:00.819-07:00<br />
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<span style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><b><span lang="EN-CA"><big><big>Enculturated Cognition</big></big></span></b> </span></div>
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<span style="color: purple; font-family: Arial, Helvetica, sans-serif; font-size: large; font-weight: bold;"><a href="https://www.cogsci.mq.edu.au/members/profile.php?memberID=603" style="color: purple; font-weight: bold;">RICHARD MENARY</a></span><br />
<span style="font-family: Arial, Helvetica, sans-serif; font-size: large;">University of Macquarie, Philosophy</span></div>
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<span lang="EN-CA" style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><i> </i></span><i style="font-family: Arial; line-height: 18px;"><b><i><span lang="EN-CA"><b>OVERVIEW:</b></span></i></b> What is the relationship between culture and cognition? In this talk I show how we might think of the development of recent cognitive abilities - such as reading, writing and mathematics - as being the result of high fidelity social learning in richly structured socio-cultural niches. The influence of representational systems and new technologies on our cognitive abilities for complex mathematical, narrative and scientific thinking should not be underestimated.</i></blockquote>
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<span style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><b><b><span lang="EN-CA"></span></b></b><span lang="EN-CA"> Menary, R. (2013). <a href="http://www.academia.edu/178408/Cognitive_Integration" style="color: purple;">Cognitive integration, enculturated cognition and the socially extended mind</a>. Cognitive Systems Research, 25, 26-34. </span></span><br />
<span lang="EN-CA" style="font-family: Arial, Helvetica, sans-serif; font-size: large;"> Menary, R. (Ed.). (2010). <a href="http://www.academia.edu/178449/The_Extended_Mind" style="color: purple;">The extended mind</a>. MIT Press.</span><br />
<br />Unknownnoreply@blogger.com38tag:blogger.com,1999:blog-2429838311680791328.post-32196178917959810452014-06-08T17:29:00.003-07:002014-07-15T11:45:59.975-07:00<br />
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<span style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><b><span lang="EN-CA"><big><big>Social and Semantic Web: Adding the Missing Links</big></big><o:p></o:p></span></b><b><span lang="EN-CA"><o:p></o:p></span></b></span></div>
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<b style="color: purple;"><span lang="EN-CA" style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><a href="http://www-sop.inria.fr/members/Fabien.Gandon/wakka.php?wiki=FabienGandon" style="color: purple;">FABIEN GANDON</a></span></b><br />
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<span style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><span lang="EN-CA"><o:p></o:p></span><span lang="EN-CA">INRIA Research Center of Sophia-Antipolis</span></span><br />
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<span style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><span lang="EN-CA"><b><a href="http://youtu.be/-F7ADFC9WjE">VIDEO</a></b></span></span></div>
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<span style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><b><i><span lang="EN-GB">OVERVIEW:</span></i></b><i><span lang="EN-GB"> Since the mid-90s the Web re-opened in read-write mode and, almost as a side effect, paved the way to numerous new social media applications. Today, the Web is no longer perceived as a document system but as a virtual place where persons and software interact in mixed communities. These large scale interactions create many problems -- in particular, reconciling the formal semantics of computer science (e.g. logics, ontologies, typing systems, etc.) on which the Web architecture is built, with the soft semantics of people (e.g. posts, tags, status, etc.) on which the Web content is built. </span></i><span lang="FR-CA"><a href="http://wimmics.inria.fr/" style="color: purple;"><i><span lang="EN-GB" style="color: black;">Wimmics</span></i></a></span><i><span lang="EN-GB">, among other research labs, studies methods, models and algorithms to bridge formal semantics and social semantics on the Web. We focus on the characterization of typed graph formalisms to model and capture these different pieces of knowledge and hybrid operators to process them jointly. This talk will describe the basics of semantic web formalisms and introduce different initiatives using these frameworks to represent reason and support social media and social applications on the web.<o:p></o:p></span></i></span><br />
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<b><span lang="EN-CA" style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><small>READINGS:</small><o:p></o:p></span></b></div>
<span lang="FR-CA" style="font-family: Arial, Helvetica, sans-serif; font-size: large;"> Nicolas Marie, Myriam Ribiere, Fabien Gandon, Florentin Rodio, <a href="http://dl.acm.org/citation.cfm?id=2506185" style="color: purple;">Discovery Hub: on-the-fly linked data exploratory search</a>, Proc. of I-Semantics 2013, Graz, Austria<br /> Michel Buffa, Nicolas Delaforge, Guillaume Erétéo, Fabien Gandon, Alain Giboin, Freddy Limpens: <a href="http://link.springer.com/chapter/10.1007%2F978-3-642-35843-2_7" style="color: purple;">ISICIL: Semantics and Social Networks for Business Intelligence</a>. SOFSEM 2013: 67-85<br /> Nathalie Aussenac-Gilles, Fabien Gandon, <a href="http://dl.acm.org/citation.cfm?id=2408755" style="color: purple;">From the knowledge acquisition bottleneck to the knowledge acquisition overflow: A brief French history of knowledge acquisition</a>, International Journal of Human-Computer Studies, Volume 71, Issue 2, Pages 157-165, February 2013<br /> Guillaume Erétéo, Fabien Gandon, and Michel Buffa, SemTagP: <a href="http://scholar.google.fr/citations?view_op=view_citation&hl=en&user=VhxHwNgAAAAJ&sortby=pubdate&citation_for_view=VhxHwNgAAAAJ:UeHWp8X0CEIC" style="color: purple;">Semantic Community Detection in Folksonomies</a>, IEEE/WIC/ACM International Conference on Web Intelligence, August 2011, Lyon.<br /> Freddy Limpens, Fabien Gandon and Michel Buffa, <a href="http://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=2&ved=0CDcQFjAB&url=http%3A%2F%2Fwww.researchgate.net%2Fpublication%2F47615676_Helping_online_communities_to_semantically_enrich_folksonomies%2Ffile%2Fd912f513630faef007.pdf&ei=XWF_U4LqJaec0AXLoYGYDw&usg=AFQjCNGB807UGzfYtx-UeTq2M29Pr17TzA&sig2=m05lyZQU4pS-COaP27yoZg&bvm=bv.67720277,d.d2k" style="color: purple;">Helping Online Communities to Semantically Enrich Folksonomies</a>, Web Science Conference, April, 2010, Raleigh, NC, USA.<br /> Guillaume Erétéo, Michel Buffa, Fabien Gandon, and Olivier Corby. <a href="http://www-sop.inria.fr/members/Fabien.Gandon/docs/ISWC2009_ereteo_et_al.pdf" style="color: purple;">Analysis of a Real Online Social Network using Semantic Web Frameworks</a>. In Proc. International Semantic Web Conference, ISWC'09, Washington, USA, October 2009</span><br />
<br />Unknownnoreply@blogger.com33tag:blogger.com,1999:blog-2429838311680791328.post-22408968585031323562014-06-08T17:28:00.004-07:002014-07-16T06:33:50.651-07:00<br />
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<b><span style="font-size: x-large;">Mining Patterns from Linked Data</span></b></div>
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<b style="color: purple;"><span lang="EN-CA" style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><a href="http://intra.info.uqam.ca/Members/valtchev_p">PETKO VALTCHEV</a></span></b><br />
<span style="font-family: Arial, Helvetica, sans-serif; font-size: large;">UQÀM</span><br />
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<b>OVERVIEW:
</b><i>The Web of Data (WoD) can be seen as global database
made of multiple datasets. These datasets are published
separately — by using new or reusing existing schemas on the
Web — yet get interlinked through either direct references
between data items or indirect ones, i.e., identity links
between items representing the same entity. The technology
underlying the WoD, called Linked Data (LD) allows for the
construction of a global data graph in which data items are
vertices related by edges of different nature. Entities, aka
resources, as well as their links, aka properties, are
globally identified through URLs. Beside this inherent graph
structure, parts of the WoD can behave as a traditional,
i.e., relational, database. </i><i><br />
</i><i><span style="font-family: Arial;"> </span></i><i>After
substantial efforts on the standards for publishing and
querying of LD on the Web, and lately the interlinking and
cleansing of sets of LD, the next big issue is properly
extracting new knowledge from the WoD. Data Mining (DM)
discipline is about finding chunks of useful knowledge
hidden in the data. DM methods are roughly divided into
predictive ones, where past experience is analyzed in order
to guess what the outcome of an unfolding situation, and
descriptive ones whose aim is to provide insights into the
regularities in the data without a specific goal. Mining LD
is both useful and challenging for many reasons, not the
least among them being the rich and complex graph structure
induced by a large variety of link types, the availability
of domain knowledge expressed as schemas, and even
fully-blown ontologies, the heterogeneity in the modelling
goals behind individual datasets, etc.</i><i><br />
</i><i><span style="font-family: Arial;"> </span></i><i>In
this talk we discuss the implications of LD for a specific
branch of descriptive DM, called pattern mining. We present
two different mining methods for that are complementary in
many respects. The first one targets usage regularities: It
analyses the consumption of resources from the WoD by the
users of a specific semantic application and summarizes it
as behavioural patterns. The second one mines purely
descriptive patterns from a dataset of multiple resource
types, which are expressed in a WoD-compliant language and
therefore supports ontology design.</i></div>
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<span style="font-family: Arial;"><b>READINGS:</b></span></div>
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<span style="font-family: Arial;"> <small> M Rouane-Hacene, M
Huchard, A Napoli, P Valtchev, Relational concept analysis:
mining concept lattices from multi-relational data Annals of
Mathematics and Artificial Intelligence 67 (1), 81-108, 2013<br />
MH Rouane, M Huchard, A Napoli, P
Valtchev, A proposal for combining formal concept analysis
and description logics for mining relational data Formal
Concept Analysis (vol. of LNCS), 51-65, Springer, 2007<br />
M Adda, P Valtchev, R Missaoui, C
Djeraba, A framework for mining meaningful usage patterns
within a semantically enhanced web portal Proc. of the Third
C* Conf. on Computer Science and Software,138-147, ACM, 2010<br />
M Adda, P Valtchev, R Missaoui, C
Djeraba, Toward recommendation based on ontology-powered
web-usage mining IEEE Internet Computing 11 (4), 45-52, 2007</small></span></div>
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Unknownnoreply@blogger.com29tag:blogger.com,1999:blog-2429838311680791328.post-28545465898300286492014-06-08T17:27:00.004-07:002014-07-15T09:21:38.391-07:00<span style="font-size: large;"><br /></span>
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<b><span lang="EN-CA" style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><big><big>Bursts, Cascades, and Time Allocation</big></big></span></b></div>
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<b style="color: purple;"><span lang="EN-CA" style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><a href="http://dyn.phys.northwestern.edu/" style="color: purple;">ADILSON MOTTER</a></span></b><br />
<span style="font-family: Arial, Helvetica, sans-serif; font-size: large;">Northwestern University</span><br />
<span style="font-family: Arial, Helvetica, sans-serif; font-size: large;">Dynamics of Complex Systems and Networks Group</span><br />
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<span style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><b><i><span lang="EN-CA">OVERVIEW:</span></i></b><i><span lang="EN-CA"> In this talk, I will present recent results on three distinct but related problems concerning Web Science and the Mind: bursts in the temporal distribution of words, cascading dynamics in diverse network systems, and human allocation of time. In each case I will discuss key properties, the principles governing these properties, and opportunities their modeling offers for monitoring and controlling complex behavior.<o:p></o:p></span></i></span><br />
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<b><span lang="EN-CA" style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><small>READINGS:</small><o:p></o:p></span></b></div>
<span style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><span lang="FR-CA"> Cornelius, S. P., Kath, W. L., & Motter, A. E. (2013). </span><span lang="FR-CA"><a href="http://arxiv.org/pdf/1307.0015" style="color: purple;"><span style="color: black;">Realistic control of network dynamics</span></a></span><span lang="FR-CA">. <i>Nature communications</i>, <i>4</i>:1942</span><span lang="FR-CA"><br /> Altmann, E. G., Pierrehumbert, J. B., & Motter, A. E. (2009). </span><span lang="FR-CA"><a href="http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0007678#pone-0007678-g003" style="color: purple;"><span style="color: black;">Beyond word frequency: Bursts, lulls, and scaling in the temporal distributions of words</span></a></span><span lang="FR-CA">. <i>PLoS One</i>, <i>4</i>(11), e7678.<o:p></o:p></span><span lang="FR-CA"><br /> Motter A. E.. & Albert R. (2012), <a href="http://havlin.biu.ac.il/Pdf/PT65_4_Adilson_E_Motter_and_Reka_Albert.pdf" style="color: purple;">Networks in motion</a> <i>Physics Today</i> 65(4), 43-48</span><span lang="FR-CA">.</span></span>Unknownnoreply@blogger.com33tag:blogger.com,1999:blog-2429838311680791328.post-18050516605274369652014-06-08T17:27:00.000-07:002014-07-15T09:21:02.829-07:00<span style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><br /></span>
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<b><span lang="EN-CA" style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><big><big>Controllability and Observability of Complex Systems</big></big></span></b></div>
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<b style="color: purple;"><b><span lang="EN-CA" style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><a href="http://barabasilab.com/personnel/who.php?who=yliu2009" style="color: purple;">YANG-YU LIU</a></span></b></b><br />
<span style="font-family: Arial, Helvetica, sans-serif; font-size: large;">Northeastern University</span><br />
<span style="font-family: Arial, Helvetica, sans-serif; font-size: large;">Center for Complex Network Research</span><br />
<span style="font-family: Arial, Helvetica, sans-serif; font-size: large;">Physics Department</span><br />
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<span style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><b><a href="http://youtu.be/wQtiJhcShSA">VIDEO</a></b></span></div>
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<span style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><b><i><span lang="EN-CA">OVERVIEW:</span></i></b><i><span lang="EN-CA"> The ultimate proof of our understanding of complex systems is reflected in our ability to control them. Although control theory offers mathematical tools for steering engineered systems towards a desired state, a framework to control complex systems is lacking. In this talk I will show that many dynamic properties of complex systems can studied be quantitatively, via a combination of tools from control theory, network science and statistical physics. In particular, I will focus on two dual concepts, i.e. controllability and observability, of general complex systems. Controllability concerns our ability to drive the system from any initial state to any final state within finite time, while observability concerns the possibility of deducing the system's internal state from observing its input-output behavior. I will show that by exploring the underlying network structure of complex systems one can determine the driver (or sensor) nodes that with time-dependent inputs (or measurements) will enable us to fully control (or observe) the whole system. <o:p></o:p></span></i></span><br />
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<b><span lang="EN-CA" style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><small>READINGS:</small><o:p></o:p></span></b></div>
<span style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><span lang="FR-CA"> Liu, Y. Y., Slotine, J. J., & Barabasi, A. L. (2011). </span><span lang="FR-CA"><a href="http://leonidzhukov.net/hse/2011/seminar/papers/nature10011.pdf" style="color: purple;"><span style="color: black;">Controllability of complex networks</span></a></span><span lang="FR-CA">. <i>Nature</i>, <i>473</i>(7346), 167-173.<o:p></o:p></span> <span lang="FR-CA"><br /> Zhao, C., Wang, W. X., Liu, Y. Y., & Slotine, J. J. (2014). </span><span lang="FR-CA"><a href="http://arxiv.org/pdf/1403.0041.pdf" style="color: purple;"><span style="color: black;">Universal Symmetry in Complex Network Control</span></a></span><span lang="FR-CA">. <i>arXiv preprint arXiv:1403.0041</i>.</span></span><br />
<br />Unknownnoreply@blogger.com30tag:blogger.com,1999:blog-2429838311680791328.post-9421686392374450362014-06-08T17:26:00.002-07:002014-07-15T11:37:00.529-07:00<br />
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<b><span lang="EN-CA" style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><big><big>You Can't Hide: Predicting Personal Traits in Social Media</big></big></span></b></div>
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<b style="color: purple;"><b><span lang="EN-CA" style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><a href="http://www.cs.umd.edu/%7Egolbeck/publications.shtml" style="color: purple;">JENNIFER GOLBECK</a></span></b></b><br />
<span style="font-family: Arial, Helvetica, sans-serif; font-size: large;">University of Maryland</span><br />
<span style="font-family: Arial, Helvetica, sans-serif; font-size: large;">Computer Science</span><br />
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<span style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><b><a href="http://youtu.be/rqgSRmOqe3k">VIDEO</a></b></span></div>
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<i><span lang="EN-CA" style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><b>Overview:</b> People share a huge amount of personal information online. With over a billion people on social media, this is opening up new abilities for researchers to predict a range of personal attributes that reveal how we live, think, and interact, even as people may try to keep this information private. This presentation will cover the methods and results in this area and argue for the future science and policy these advances demand.</span></i></div>
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<b><span lang="EN-CA" style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><small>READINGS:</small><o:p></o:p></span></b></div>
<span style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><span lang="FR-CA"> Golbeck, J. (2013). <i>Analyzing the social web</i>.<br /> Newnes.</span><span lang="FR-CA"><o:p></o:p></span> <span lang="FR-CA">Golbeck, J., Robles, C., Edmondson, M., & Turner, K. (2011, October). </span><span lang="FR-CA"><a href="http://www.cs.umd.edu/%7Egolbeck/pubs/Golbeck%20et%20al.%20-%202011%20-%20Predicting%20Personality%20from%20Twitter.pdf" style="color: purple;"><span style="color: black;">Predicting personality from twitter</span></a></span><span lang="FR-CA">. In <i>Privacy, security, risk and trust (passat), 2011 ieee third international conference on and 2011 ieee third international conference on social computing (socialcom)</i> (pp. 149-156). IEEE<br /> Kosinski, M., Stillwell, D., & Graepel, T. (2013). <a href="http://www.pnas.org/content/early/2013/03/06/1218772110.full.pdf+html" style="color: purple;">Private traits and attributes are predictable from digital records of human behavior</a>. <i>Proceedings of the National Academy of Sciences</i>, 110(15), 5802-5805.<br /> Golbeck, J., Robles, C., & Turner, K. (2011, May). <a href="https://cgis.cs.umd.edu/localphp/hcil/tech-reports-search.php?number=2010-30" style="color: purple;">Predicting personality with social media</a>. In CHI'11 Extended Abstracts on Human Factors in Computing Systems (pp. 253-262). ACM..</span></span><br />
<br />Unknownnoreply@blogger.com18tag:blogger.com,1999:blog-2429838311680791328.post-22453058090351360142014-06-08T17:25:00.001-07:002014-07-16T06:32:20.172-07:00<br />
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<b><span lang="EN-CA" style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><big><big>Collective Memory in Wikipedia</big></big></span></b></div>
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<b style="color: purple;"><span lang="EN-CA" style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><a href="http://www.soic.indiana.edu/people/profiles/dedeo-simon.shtml" style="color: purple;">SIMON DeDEO</a></span></b><br />
<span style="font-family: Arial, Helvetica, sans-serif; font-size: large;">Indiana University</span><br />
<span style="font-family: Arial, Helvetica, sans-serif; font-size: large;">Santa Fe Institute </span><br />
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<span style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><b><a href="http://youtu.be/JDsBQFvuHIE">VIDEO</a></b></span></div>
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<i><span lang="EN-CA"><span style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><i><span lang="EN-CA"><b>OVERVIEW</b></span></i>:
In an analysis of range of social systems, from online collaboration in
Wikipedia to revolutionary activity in the Arab Spring, we find a
common structure to social reasoning that crucially involves the
formation of long-term memories and dispositions. No individual member
serves as the system memory or reasoner; these dispositions are,
instead, collective states of the group as a whole. The underlying
computational structure appears to make use of at least one (formally)
unbounded resource. We provide a game theoretic account of group-level
strategies based on a simple belief-formation mechanism, and show the
challenges that arise in connecting these group level phenomena to the
beliefs and desires of the underlying individuals.<br />
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<b><span lang="EN-CA"><span style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><o:p></o:p></span></span></b></div>
<span style="font-family: Arial, Helvetica, sans-serif; font-size: large;"> <span lang="FR-CA"> DeDeo, S. (2013). </span><span lang="FR-CA"><a href="http://dx.plos.org/10.1371/journal.pone.0075818.g002"><span style="color: black;">Collective Phenomena and Non-Finite State
Computation in a Human Social System</span></a></span><span lang="FR-CA">. <i>PloS one</i>, <i>8</i>(10), e75818. </span></span><br />
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<span style="font-family: Arial, Helvetica, sans-serif; font-size: large;">Klingenstein, Sara, Tim Hitchcock, Simon DeDeo (2014) <a href="http://www.pnas.org/content/early/2014/06/11/1405984111.abstract">The civilizing process in London's Old Bailey</a>. <i>Proceedings of the National Academy of Sciences</i></span><br />
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<span style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><span lang="FR-CA"><o:p></o:p></span><span lang="FR-CA"> Hooper, P. L., DeDeo, S., Caldwell Hooper, A. E., Gurven, M., &
Kaplan, H. S. (2013). </span><span lang="FR-CA"><a href="http://www.mdpi.com/1099-4300/15/11/4932/pdf"><span style="color: black;">Dynamical
Structure
of a Traditional Amazonian Social Network</span></a></span><span lang="FR-CA">. <i>Entropy</i>, <i>15</i>(11),
4933-4955.</span></span><br />
<span style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><span lang="FR-CA"> DeDeo, S (2014) <a href="http://arxiv.org/abs/1407.2210">Group Minds and the Case of Wikipedia</a></span></span><br />
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Unknownnoreply@blogger.com32tag:blogger.com,1999:blog-2429838311680791328.post-91336089803216768172014-06-08T17:24:00.001-07:002014-07-15T11:36:22.022-07:00<span style="font-family: Arial, Helvetica, sans-serif;"><br /></span>
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<span style="text-align: start;"><span style="font-family: Arial, Helvetica, sans-serif; font-size: x-large;">The Semantic Web: the inside story</span></span></h2>
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<b><span lang="EN-CA" style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><a href="http://www.cs.rpi.edu/%7Ehendler/" style="color: purple;">JIM HENDLER</a></span></b><br />
<span style="font-family: Arial, Helvetica, sans-serif; font-size: large;">Rensselaer Polytechnic Institute</span><br />
<span style="font-family: Arial, Helvetica, sans-serif; font-size: large;">Department of Computer Science </span><br />
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<span style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><b><a href="http://youtu.be/3Ap5FsxvjTQ">VIDEO</a></b></span></div>
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<span style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><i><span lang="EN-CA"><b><i><span lang="EN-CA"><b>OVERVIEW:</b></span></i></b> </span></i></span><span style="font-family: Arial, Helvetica, sans-serif; font-size: large;">In this talk I look at the Semantic Web idea of adding knowledge to the Web in ways compatible with machine processing. Emerging in the late 90s, and growing since then,the languages , usage and uptake of semantic technologies has been increasing. I'll discuss the genesis of this idea, some key steps in its history, and current usage. I also proposes challenges: Having far surpassed the original vision, how do we continue to use and grow the semantic web?</span></div>
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<b><span lang="EN-CA"><span style="font-family: Arial, Helvetica, sans-serif; font-size: large;">READINGS:</span></span></b></div>
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<b><span lang="EN-CA"><span style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><o:p></o:p></span></span></b></div>
<span style="font-family: Arial, Helvetica, sans-serif;"><span style="font-size: large;"> <span lang="FR-CA"> Hendler, J., &
Berners-Lee, T. (2010). </span><span lang="FR-CA"><a href="http://123seminarsonly.com/Seminar-Reports/009/64490827-Semantic-Web.pdf"><span style="color: black;">From the Semantic Web to social machines</span></a></span><span lang="FR-CA">: A research challenge for AI
on the World Wide Web. <i>Artificial Intelligence</i>, <i>174</i>(2),
156-161.<o:p></o:p></span><span lang="FR-CA"><br />
Shadbolt, N., Hall, W., Hendler, J. A.,
& Dutton, W. H. (2013). </span><span lang="FR-CA"><a href="http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3575572/"><span style="color: black;">Web science: a new frontier</span></a></span><span lang="FR-CA">. <i>Philosophical Transactions of
the Royal Society A: Mathematical, Physical and Engineering
Sciences</i>, <i>371</i>(1987), 20120512.<o:p></o:p></span>
<span lang="FR-CA">Hendler, J. (2014). Big data meets computer
science. <i>Journal of Computing Sciences in Colleges</i>, <i>29</i>(6),
5-6.</span></span>
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Unknownnoreply@blogger.com34tag:blogger.com,1999:blog-2429838311680791328.post-5386748926014464262014-06-08T17:23:00.001-07:002014-07-15T11:37:32.632-07:00<br />
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<b><span lang="EN-CA" style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><big><big>Foraging in the World, Mind and Online</big></big></span></b></div>
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<b style="color: purple;"><b><span lang="EN-CA" style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><a href="http://psych.indiana.edu/faculty/pmtodd.php" style="color: purple;">PETER TODD</a></span></b></b><br />
<span style="font-family: Arial, Helvetica, sans-serif; font-size: large;">Indiana University</span><br />
<span style="font-family: Arial, Helvetica, sans-serif; font-size: large;">Department of Psychological and Brain Sciences</span><br />
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<span style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><b><a href="http://youtu.be/Ay9ydPF4UAg">VIDEO</a></b></span></div>
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<span style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><b><i><span lang="EN-CA">OVERVIEW:</span></i></b><i><span lang="EN-CA"> How do we decide when to search for something better and when to stick with what we've got? People, like other organisms, must adaptively trade off between exploring and exploiting their environment to obtain the resources they need. This applies to whatever space they are searching: whether the external spatial world, looking for patches of food; the social environment, looking for mates or friends; the internal mental environment, looking for concepts in memory; or the online environment, looking for information on the Web. Common underlying mechanisms may be used to address the explore/exploit tradeoff in each of these domains. People use similar heuristic strategies to decide when to keep looking and when to give up searching for resources in patches in space (e.g., for fish in a pond), in memory (e.g., for words in a category), and online (e.g., for useful Web pages), as predicted by optimal foraging theory. Moreover, the connections between search in these domains may have deep evolutionary roots, built on the same underlying mechanisms, as indicated by studies showing that search in an external domain can prime subsequent search strategies in an internal domain. In this talk, I will describe how new studies are uncovering these connections between spatial search and information search (as described in Cognitive Search: Evolution, Algorithms, and the Brain, Todd, Hills, and Robbins, eds.; MIT Press, 2012).<o:p></o:p></span></i></span><br />
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<b><span lang="EN-CA" style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><small>READINGS:</small><o:p></o:p></span></b></div>
<span lang="EN-CA" style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><span lang="FR-CA"> Hills, T. T., Jones, M. N., & Todd, P. M. (2012). </span><span lang="FR-CA"><a href="http://www.researchgate.net/publication/221827967_Optimal_foraging_in_semantic_memory/file/79e4150a225159aaf9.pdf" style="color: purple;"><span style="color: black;">Optimal foraging in semantic memory</span></a></span>. <i>Psychological review</i>, <i>119</i>(2), 431.<br /> Hills, T.T., Todd, P.M., and Goldstone, R.L. (2008). <a href="http://pubs.cogs.indiana.edu/pubspdf/18531/18531_hills.psychscience.2008.pdf" style="color: purple;">Search in external and internal spaces: Evidence for generalized cognitive search processes</a>. <i>Psychological Science</i>, 19(8), 802-808.<br /> Wilke, A., Todd, P.M., and Hutchinson, J.M.C. (2009). <a href="http://www.indiana.edu/%7Eabcwest/pmwiki/pdf/wilke.cogsci.2009.pdf" style="color: purple;">Fishing for the right words: Decision rules for human foraging behavior in external and internal search tasks</a>. <i>Cognitive Science</i>, 33, 497-529.</span><br />
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<span lang="EN-CA" style="font-family: 'Times New Roman', Times, serif; font-size: 16px;"><br /></span>Unknownnoreply@blogger.com31tag:blogger.com,1999:blog-2429838311680791328.post-42776976813290185972014-06-08T17:21:00.005-07:002014-07-16T06:25:50.994-07:00<br />
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<b><span lang="EN-CA" style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><big><big>Macrocognition: Situated versus Distributed</big></big></span></b></div>
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<span style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><b style="color: purple;"><span lang="EN-CA"><a href="http://explore.georgetown.edu/people/lbh24/" style="color: purple;">BRYCE HUEBNER</a></span></b></span><br />
<span lang="EN-CA" style="font-family: Arial, Helvetica, sans-serif; font-size: large;">Georgetown University</span><br />
<span lang="EN-CA" style="font-family: Arial, Helvetica, sans-serif; font-size: large;">Department of Philosophy<o:p></o:p></span><span style="font-family: Arial, Helvetica, sans-serif; font-size: large;"> </span><br />
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<span style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><b><i><span lang="EN-CA">OVERVIEW:</span></i></b><i><span lang="EN-CA"> 'Macrocognition' has two distinct, but closely related meanings. Cacciabue and Hollnagel (1995) introduced it to denote the study of cognition in realistic tasks, where people interact with various forms of environmental and social scaffolding; Klein and colleagues also used it to understand how people manage uncertainty and make sense of real world environments. I introduced a second use (Huebner 2014) as shorthand for system-level cognition implemented by integrated networks of specialized computational mechanisms, whether in individuals or groups. Macrocognition has one sense that's closer to 'situated or extended cognition' and another that's closer to 'distributed or collective cognition' but they are often conflated. There are important differences between the hypothesis of collective cognition (HCC) and the hypothesis of extended cognition (HEC). Recent work on situated and collective memory and philosophical approaches to coordination and planning suggest that HCC is more plausible if we abandon HEC in favor of an 'ontologically thinner' approach to situated cognition. There is a form of collective planning distinct from the planning that relies on web-based technologies and other forms of social scaffolding. Distinguishing two forms of macrocognition, one situated the other distributed, can help us to make sense of a number of theoretically and empirically interesting phenomena.<o:p></o:p></span></i></span><br />
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<span style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><span lang="FR-CA">Huebner, B. (2011). </span><span lang="FR-CA"><a href="http://www9.georgetown.edu/faculty/lbh24/GenuinelyCollectiveEmotions.pdf" style="color: purple;"><span style="color: black;">Genuinely collective emotions</span></a></span><span lang="FR-CA">. <i>European Journal for Philosophy of Science</i>, <i>1</i>(1), 89-118.<o:p></o:p></span></span></div>
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<span lang="FR-CA" style="font-family: Arial, Helvetica, sans-serif; font-size: large;">Huebner, B. (2014). <i>Macrocognition: A Theory of Distributed Minds and Collective Intentionality</i>. Oxford University Press.<o:p></o:p></span></div>
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<span style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><span lang="FR-CA">Klein, G., Ross, K. G., Moon, B. M., Klein, D. E., Hoffman, R. R., & Hollnagel, E. (2003). </span><span lang="FR-CA"><a href="http://cmapsinternal.ihmc.us/rid=1H1V9P5VL-1FR35RD-HKV/Macrocognition-IEEE2003.pdf" style="color: purple;"><span style="color: black;">Macrocognition</span></a></span><span lang="FR-CA">. <i>Intelligent Systems, IEEE</i>, 18(3), 81-85.<o:p></o:p></span></span></div>
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<span style="font-family: Arial, Helvetica, sans-serif; font-size: large;"><span lang="FR-CA"><a href="http://brycehuebner.weebly.com/" style="color: purple;"><span lang="EN-CA">http://brycehuebner.weebly.com/</span></a></span><span lang="EN-CA"><o:p></o:p></span><span lang="FR-CA"><br /><span lang="EN-CA" style="color: purple;"><a href="http://www.sciencedirect.com/science/article/pii/S1389041713000259" style="color: purple;">http://www.sciencedirect.com/science/article/pii/S1389041713000259</a></span></span></span></div>
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