Montreal Summer Institute on Web Science and the Mind

[Stevan Harnad]

Correction for website (link re-directed relatively):
http://www.summer14.isc.uqam.ca/page/intro.php



On Mon, May 12, 2014 at 11:32 PM, Katy Borner <katy at indiana.edu> wrote:

> Adminstrative info for SIGMETRICS (for example unsubscribe):
> http://web.utk.edu/~gwhitney/sigmetrics.html
>
>
>
> * PRELIMINARY PROGRAM -- April 30th 2014*
>
> *Summer School in Cognitive Science 2014*
>
> *WEB SCIENCE AND THE MIND*
>
> *JULY 7th to 18th 2014*
> *Universite du Quebec a Montreal*
> *Montreal, Canada*
> *www.summer14.isc.uqam.ca*<http://users.ecs.soton.ac.uk/harnad/Temp/www.summer14.isc.uqam.ca>
>
>
>
> *- - - - -      MONDAY, JULY 7    - - - - - *
>
> *9am to 12:30pm* Registration
>
> *3pm* Welcoming Ceremony
> *ROBERT PROULX*, Rector, UQAM
>
> *3:15pm* Opening Session
>  *Web Science *
> *DAME WENDY HALL*, University of Southampton
> *Overview & Readings*<http://users.ecs.soton.ac.uk/harnad/Temp/AbsPrelimProg3.htm#Hall>
>
>
> *- - - - -      TUESDAY, JULY 8**    - - - - -*
>
> *9-10am*
> *Web Philosophy*
> *ALEXANDRE MONNIN*, Institut National de Recherche en Informatique et
> Automatique (INRIA) Sophia Antipolis
> *Overview & Readings*<http://users.ecs.soton.ac.uk/harnad/Temp/AbsPrelimProg3.htm#Monnin>
>
> *10-11am*
>  *Web Semantics*
> *HARRY HALPIN*, University of Edinburgh, Institute of Communicating and
> Collaborating Systems, School of Informatics
> *Overview & Readings
> <http://users.ecs.soton.ac.uk/harnad/Temp/AbsPrelimProg3.htm#Halpin>*
>
> *Coffee Break 11am to 11:30am*
>
> *11:30-12:30*
> *Web and Brain*
> *JEFF STIBEL*, Dun & Bradstreet Credibility Corp
>
>
> *Overview & Readings
> <http://users.ecs.soton.ac.uk/harnad/Temp/AbsPrelimProg3.htm#Stibel> *
> *Lunch time 12:30pm to 2pm*
>
> *2-3pm*
>  *Towards a Global Brain: the Web as a Self-organizing, Distributed
> Intelligence*
> *FRANCIS HEYLIGHEN*, Vrije Universiteit Brussel, ECCO - Evolution,
> Complexity and Cognition research group
> *Overview & Readings
> <http://users.ecs.soton.ac.uk/harnad/Temp/AbsPrelimProg3.htm#Heylighen> *
>
> *2-4pm*
> *Computational Models for Web Science*
> *PHIL TETLOW*, IBM United Kingdom Limited
> *Overview & Readings*<http://users.ecs.soton.ac.uk/harnad/Temp/AbsPrelimProg3.htm#Tetlow>
>
> *Coffee Break 4pm to 4:30pm*
>
> *4:30-5pm*
> Summary and discussion of day's sessions
>
> *5:30-8pm*
> Poster Session and Cocktail
>
>
> *- - - - -      WEDNESDAY, JULY 9**    - - - - -*
>
> *9-10am*
> *Open Science and the Web*
> *TONY HEY*, Microsoft Research Connections
> *Overview & Readings*<http://users.ecs.soton.ac.uk/harnad/Temp/AbsPrelimProg3.htm#Hey><http://eprints.rclis.org/9202/1/heyhey_final_web.pdf>
>
> *10-11am*
> *Scientific Interaction Before and Since the Web*
> *VINCENT LARIVIERE*, Universite du Quebec a Montreal
> *Overview & Readings*<http://users.ecs.soton.ac.uk/harnad/Temp/AbsPrelimProg3.htm#Lariviere>
>
> *Coffee Break 11am to 11:30am*
>
> *11:30-12:30*
> *Scholarly Big Data: Information Extraction and Data Mining*
> *LEE GILES*, Pennsylvania State University
> *Overview & Readings*<http://users.ecs.soton.ac.uk/harnad/Temp/AbsPrelimProg3.htm#Giles>
> *Lunch time 12:30pm to 2pm*
>
> *2-3pm*
> *Web Impact Metrics for Research Assessment*
> *KAYVAN KOUSHA*, University of University of, Statistical Cybermetrics
> Research Group, School of Technology
> *Overview & Readings*<http://users.ecs.soton.ac.uk/harnad/Temp/AbsPrelimProg3.htm#Kousha>
>
> *2-4pm*
> *TBA*
>
> *Coffee Break 4pm to 4:30pm*
>
> *4:30pm*
> Summary and discussion of day's sessions
>
>
> *- - - - -      THURSDAY, JULY 10**    - - - - -*
>
> *9-10am*
> *Graphic Webs of Science*
> *KATY BORNER*, Indiana University, Department of Information and Library
> Science <http://ils.indiana.edu/>
> *Overview & Readings*<http://users.ecs.soton.ac.uk/harnad/Temp/AbsPrelimProg3.htm#Borner>
>
>
> *10 am to 11am*
> *Visualizing Dynamic Interactions*
> *JEAN-DANIEL FEKETE*, Institut National de Recherche en Informatique et
> Automatique (INRIA) Saclay - ile-de-France
> *Overview & Readings*<http://users.ecs.soton.ac.uk/harnad/Temp/AbsPrelimProg3.htm#Fekete>
>
> *Coffee Break 11am to 11:30am*
>
> *11:30-12:30*
>
> *New Models of Scholarly Communication for Digital Scholarship *
> *STEPHEN GRIFFIN*, University of Pittsburgh, School of Information Science
>  *Overview & Readings*<http://users.ecs.soton.ac.uk/harnad/Temp/AbsPrelimProg3.htm#Griffin>
>
> *Lunch time 12:30pm to 2pm*
>
> *2-3pm*
> *Network Ready Research: The Role of Open Source and Open Thinking*
> *CAMERON NEYLON*, PLOS (Public Library of Science)
> *Overview & Readings*<http://users.ecs.soton.ac.uk/harnad/Temp/AbsPrelimProg3.htm#Neylon><https://www.youtube.com/watch?v=Axr80qm6NHw>
>
> *2-4pm*
> *Collaborative Innovation Networks*
> *PETER GLOOR*, MIT Center for Collective Intelligence
> *Overview & Readings*<http://users.ecs.soton.ac.uk/harnad/Temp/AbsPrelimProg3.htm#Gloor>
>
> *Coffee Break 4pm to 4:30pm*
>
> *4:30pm*
> Summary and discussion of day's sessions
>
>
> *- - - - -      FRIDAY, JULY 11**    - - - - -*
>
> *9-10am*
> *Computational Models for Web Science*
> *ROBERT GOLDSTONE*, Indiana University, Department of Psychology
>
>
> *Overview & Readings
> <http://users.ecs.soton.ac.uk/harnad/Temp/AbsPrelimProg3.htm#Goldstone> *
> *10-11am*
> *TBA*
>
> *Coffee Break 11am to 11:30am*
>
> *11:30-12:30*
>  *Social and Semantic Web: Adding the Missing Links*
> *FABIEN GANDON*, INRIA Research Center of Sophia-Antipolis
> *Overview & Readings*<http://users.ecs.soton.ac.uk/harnad/Temp/AbsPrelimProg3.htm#Gandon>
>
> *Lunch time 12:30pm to 2pm*
>
> *2pm to 4pm*
> Optional meetings for students
>
>
> *Coffee Break 4pm to 4:30pm*
>
> *4:30pm*
> Summary and discussion of day's sessions
>
>
> *- - - - -      MONDAY, JULY 14**    - - - - -*
>
> *9-10am*
> *Explosive Percolation*
> *SERGEY DOROGOVTSEV*, Universidade de Aveiro
> *Overview & Readings*<http://users.ecs.soton.ac.uk/harnad/Temp/AbsPrelimProg3.htm#Dorogovstev>
>
>
> *10-11am*
> *Bursts, Cascades, and Time Allocation*
> *ADILSON MOTTER*, Northeastern University, Physics of Complex Systems and
> Networks
>
> *Overview & Readings *<http://users.ecs.soton.ac.uk/harnad/Temp/AbsPrelimProg3.htm#Motter>
>  *Coffee Break 11am to 11:30am*
>
> *11:30-12:30*
>
> *Controllability and Observability of Complex Systems **YANG-YU LIU*,
> Northeastern University, Center for Complex Network Research, Physics
> Department
>  *Overview & Readings*<http://users.ecs.soton.ac.uk/harnad/Temp/AbsPrelimProg3.htm#Liu>
>
>  *Lunch time 12:30pm to 2pm*
>
> *2-3pm*
>
> *The Social Web **JENNIFER GOLBECK*, University of Maryland
>  *Overview & Readings*<http://users.ecs.soton.ac.uk/harnad/Temp/AbsPrelimProg3.htm#Golbeck>
>
>  *2-4pm*
> *Collective Memory in Wikipedia*
> *SIMON DeDEO*, Indiana University, Santa Fe Institute
> *Overview & Readings*<http://users.ecs.soton.ac.uk/harnad/Temp/AbsPrelimProg3.htm#Dedeo>
>
>
> *Coffee Break 4pm to 4:30pm*
>
> *4:30pm*
> Summary and discussion of day's sessions
>
>
> *- - - - -      TUESDAY, JULY 15**    - - - - -*
>
> *9-10am*
> *The Data Web*
> *JIM HENDLER*, Rensselaer Polytechnic Institute, Department of Computer
> Science
>    <http://users.ecs.soton.ac.uk/harnad/Temp/AbsPrelimProg3.htm#Hendler>
>
> *Overview & Readings
> <http://users.ecs.soton.ac.uk/harnad/Temp/AbsPrelimProg3.htm#Hendler> *
> *10-11am*
>
> *Foraging in the World, Mind and Online **PETER TODD*, Indiana
> University, Department of Psychological and Brain Sciences
>
>
> *Overview & Readings
> <http://users.ecs.soton.ac.uk/harnad/Temp/AbsPrelimProg3.htm#Todd> *
> *Coffee Break 11am to 11:30am*
>
> *11:30-12:30*
> * Macrocognition: Situated versus Distributed*<http://www.sciencedirect.com/science/article/pii/S1389041713000259>
> *BRYCE HUEBNER*, Georgetown University, Department of Philosophy
>  *Overview & Readings*<http://users.ecs.soton.ac.uk/harnad/Temp/AbsPrelimProg3.htm#Huebner>
>
> *Lunch time 12:30pm to 2pm*
>
> *2-3pm*
> *Visual Analytics for Discovering Network Structure Beyond Communities*
> *TAKASHI NISHIKAWA*, Northwestern University, Physics & Astronomy
>  *Overview & Readings
> <http://users.ecs.soton.ac.uk/harnad/Temp/AbsPrelimProg3.htm#Nishikawa>*
>
> *2-4pm*
>
> *Detecting Communities in Complex Networks: Role of Degree Correlations **FILIPPO
> RADICCHI*, Indiana University,  School of Informatics and Computing
>
>
> *Overview & Readings
> <http://users.ecs.soton.ac.uk/harnad/Temp/AbsPrelimProg3.htm#Radicchi> *
> *Coffee Break 4pm to 4:30pm*
>
> *4:30pm*
> Summary and discussion of day's sessions
>
>
> *- - - - -      WEDNESDAY, JULY 16**    - - - - -*
>
> *9-10am*
> *TBA*
>
> *10-11am*
> *Extended Mentality: What It Is and Why It Matters*
> *MARK ROWLANDS*, Indiana University, Department of Psychological and
> Brain Sciences
> *Overview & Readings*<http://users.ecs.soton.ac.uk/harnad/Temp/AbsPrelimProg3.htm#Rowlands>
>
> *Coffee Break 11am to 11:30am*
>
> *11:30-12:30*
> *Transactive Memory and Distributed Cognitive Ecologies*
> *JOHN SUTTON*, Macquarie University, Department of Cognitive Science
>
>
> *Overview & Readings
> <http://users.ecs.soton.ac.uk/harnad/Temp/AbsPrelimProg3.htm#Sutton> *
> *Lunch time 12:30pm to 2pm*
>
> *2-3pm*
> *Knowledge Mining in Heterogeneous Information Networks*
> *JIAWEY HAN*, University of Illinois at Urbana-Champaign, Department of
> Computer Science
>
>
> *Overview & Readings
> <http://users.ecs.soton.ac.uk/harnad/Temp/AbsPrelimProg3.htm#Han> *
> *2-4pm*
> *What is Cognition, and How Could it be Extended?*
> *ROBERT RUPERT*, University of Colorado, Department of Philosophy
> *Overview & Readings*<http://users.ecs.soton.ac.uk/harnad/Temp/AbsPrelimProg3.htm#Rupert>
>
> *Coffee Break 4pm to 4:30pm*
>
> *4:30pm*
> Summary and discussion of day's sessions
>
>
> *- - - - -      THURSDAY, JULY 17**    - - - - -*
>
> *9-10am*
> *TBA*
>
> *10-11am*
> *Collective Intelligence: What is it?  How can we measure it?  And **increase
> it?*
> *THOMAS MALONE*, MIT Sloan School of Management
> *Overview & Readings*<http://users.ecs.soton.ac.uk/harnad/Temp/AbsPrelimProg3.htm#Malone>
>
> *Coffee Break 11am to 11:30am*
>
> *11:30-12:30*
> *Socio-Technical Epistemology*
> *JUDITH SIMON*, Institut fuer Technikfolgenabschuetzung und Systemanalyse
> (ITAS)
>
>
> *Overview & Readings
> <http://users.ecs.soton.ac.uk/harnad/Temp/AbsPrelimProg3.htm#Simon> *
> *Lunch time 12:30pm to 2pm*
>
> *2-3pm*
> *Domains and Dimensions of Group Cognition*
> *GEORG THEINER*, Villanova University, Department of Philosophy
> *Overview & Readings*<http://users.ecs.soton.ac.uk/harnad/Temp/AbsPrelimProg3.htm#Theiner>
>
>  *2-4pm*
> *TBA*
>
> *Coffee Break 4pm to 4:30pm*
>
> *4:30pm*
> Summary and discussion of day's sessions
>
>
> *- - - - -      FRIDAY, JULY 18    - - - - -*
>
> *Closing day*
>
>
> *[Talks TBA] *
>
>
>
>
>
>
>  *KATY BORNER*, Indiana University, Department of Information and Library
> Science <http://ils.indiana.edu/>
>
> *Graphic Webs of Science*
> *[Overview to come]*
> *READINGS:*
> Light, R. P., Polley, D. E., & Borner, K. (2013). Open Data and Open Code
> for Big Science of Science Studies<http://ivl.cns.iu.edu/km/pub/2013-light-sdb-sci2-issi.pdf>.
> ISSI.
> Chen, Y., Borner, K., & Fang, S. (2013). Evolving collaboration networks
> in Scientometrics in 1978-2010: a micro-macro analysis<http://ivl.cns.iu.edu/km/pub/2012-chen-evolving-scientometrics.pdf>
> . *Scientometrics*, *95*(3), 1051-1070.
>
>
> *SIMON DeDEO*, Indiana University, Santa Fe Institute
>
> *Collective Memory in Wikipedia*
> *[Overview to come]*
> *READINGS:*
> DeDeo, S. (2013). Collective Phenomena and Non-Finite State Computation
> in a Human Social System<http://dx.plos.org/10.1371/journal.pone.0075818.g002>
> . *PloS one*, *8*(10), e75818.
> Hooper, P. L., DeDeo, S., Caldwell Hooper, A. E., Gurven, M., & Kaplan, H.
> S. (2013). Dynamical Structure of a Traditional Amazonian Social Network<http://www.mdpi.com/1099-4300/15/11/4932/pdf>
> . *Entropy*, *15*(11), 4932-4955.
>
>
>
>
> *SERGEY DOROGOVTSEV*, Universidade de Aveiro
>
> *Explosive Percolation*
> *[Overview to come]*
> *READINGS:*
> da Costa, R. A., Dorogovtsev, S. N., Goltsev, A. V., & Mendes, J. F. F.
> (2010). Explosive percolation transition is actually continuous<http://arxiv.org/pdf/1009.2534>
> . *Physical review letters*, *105*(25), 255701.
> Dorogovtsev, S. N., & Mendes, J. F. F. (2001). Language as an evolving
> word web<http://www-personal.umich.edu/%7Echoucc/Language%20as%20an%20evolving%20word%20web.pdf>
> . *Proceedings of the Royal Society of London. Series B: Biological
> Sciences*, *268*(1485), 2603-2606.
>
>
>
> *JEAN-DANIEL FEKETE*, Institut National de Recherche en Informatique et
> Automatique (INRIA) Unite de Recherche Saclay - ile-de-France
>
> *Visualizing Dynamic Interactions*
> *[Overview to come]*
> *READINGS:*
> Wybrow, M., Elmqvist, N., Fekete, J. D., von Landesberger, T., van Wijk,
> J. J., & Zimmer, B. (2014). Interaction in the Visualization of
> Multivariate Networks<http://hal.archives-ouvertes.fr/docs/00/97/43/35/PDF/04-Interaction.pdf>.
> In *Multivariate Network Visualization* (pp. 97-125). Springer
> International Publishing.
> Bach, B., Pietriga, E., & Fekete, J. D. (2014, April). Visualizing
> Dynamic Networks with Matrix Cubes<http://hal.inria.fr/docs/00/93/19/11/PDF/cubix_acc2.pdf>.
> In *SICCHI Conference on Human Factors in Computing Systems (CHI)*.
>
>
> *FABIEN GANDON*, INRIA Research Center of Sophia-Antipolis
>
> *Social and Semantic Web: Adding the Missing Links*
>
> *OVERVIEW:** 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. **Wimmics* <http://wimmics.inria.fr/>*,
> 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.*
> *READINGS:*
> Hasan, R., & Gandon, F. (2012). Explanation in the Semantic Web: a survey
> of the state of the art<http://hal.archives-ouvertes.fr/docs/00/70/22/77/PDF/RR-7974.pdf>
> .
> Aussenac-Gilles, N., & Gandon, F. (2013). From the knowledge acquisition
> bottleneck to the knowledge acquisition overflow: A brief French history of
> knowledge acquisition<http://www.researchgate.net/publication/234581482_from_the_knowledge_acquisition_bottleneck_to_the_knowledge_acquisition_overflow_A_brief_French_history_of_knowledge_acquisition/file/e0b49518aa6deb5f2a.pdf>
> . *Int. J. Hum.-Comput. Stud.*,*71*(2), 157-165.
>
>
>
> *LEE GILES*, Pennsylvania State University
>
> *Scholarly Big Data: Information Extraction and Data Mining*
> *[Overview to come]*
> *READINGS:*
> Caragea, C., Wu, J., Ciobanu, A., Williams, K., Fernandez-Ramrez, J.,
> Chen, H. H., ... & Giles, L. (2014). CiteSeer x: A Scholarly Big Dataset<http://www.cse.unt.edu/%7Eccaragea/papers/ecir14.pdf>.
> In *Advances in Information Retrieval* (pp. 311-322). Springer
> International Publishing.
>            Flake, G. W., Lawrence, S., Giles, C. L., & Coetzee, F. M.
> (2002). Self-organization and identification of web communities<http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.387.5730&rep=rep1&type=pdf>
> . *Computer*, *35*(3), 66-70.
>
>
> *PETER GLOOR*, MIT Center for Collective Intelligence
>
> *Collaborative Innovation Networks*
>
> *OVERVIEW:** 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.*
> *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:*
> *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. *
> *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.'*
> *READINGS:*
> Gloor, P. A., Krauss, J., Nann, S., Fischbach, K., & Schoder, D. (2009,
> August). Web science 2.0: Identifying trends through semantic social
> network analysis<http://dspace.mit.edu/openaccess-disseminate/1721.1/59353>.
> In *Computational Science and Engineering, 2009. CSE'09. International
> Conference on* (Vol. 4, pp. 215-222). IEEE.
> Kleeb, R., Gloor, P. A., Nemoto, K., & Henninger, M. (2012). Wikimaps:
> dynamic maps of knowledge<http://www.atelier.net/sites/default/files/etude/wikimaps.pdf>
> . *International Journal of Organisational Design and Engineering*, *2*(2),
> 204-224.
> *cci.mit.edu/pgloor <http://cci.mit.edu/pgloor>*
>
>
> *JENNIFER GOLBECK*, University of Maryland
>
> *The Social Web*
> *[Overview to come]*
> *READINGS:*
> Golbeck, J. (2013). *Analyzing the social web*. Newnes.
> Golbeck, J., Robles, C., Edmondson, M., & Turner, K. (2011, October). Predicting
> personality from twitter<http://www.cs.umd.edu/%7Egolbeck/pubs/Golbeck%20et%20al.%20-%202011%20-%20Predicting%20Personality%20from%20Twitter.pdf>.
> In *Privacy, security, risk and trust (passat), 2011 ieee third
> international conference on and 2011 ieee third international conference on
> social computing (socialcom)* (pp. 149-156). IEEE.
>
>
> *ROBERT GOLDSTONE*, Indiana University, Department of Psychology
>
> *Computational Models for Web Science*
> *[Overview to come]*
> *READINGS:*
> Wisdom, T. N., Song, X., & Goldstone, R. L. (2013). Social Learning
> Strategies in Networked Groups<http://www.indiana.edu/%7Epcl/papers/imitationinnovation.pdf>
> . *Cognitive science*, *37*(8), 1383-1425.
> Theiner, G., Allen, C., & Goldstone, R. L. (2010). Recognizing group
> cognition<http://colinallen.dnsalias.org/Papers/Published/2010/2010-Theiner-etal-CogSys.pdf>
> . *Cognitive Systems Research*, *11*(4), 378-395.
>
>
>
> *STEPHEN GRIFFIN*, University of Pittsburgh, School of Information Science
>
> *New Models of Scholarly Communication for Digital Scholarship*
>
>
> *OVERVIEW:* *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.*
> *READINGS:*
> Franzoni, C., & Sauermann, H. (2014). Crowd science: The organization of
> scientific research in open collaborative projects<http://scistarter.com/blog/wp-content/uploads/2013/04/SSRN-id2167538211.pdf>
> . *Research Policy*, *43*(1), 1-20.
> http://www.openscholarship.org/jcms/c_5012/en/home
> http://www.ischool.pitt.edu/scholarlycom/
> http://www.sis.pitt.edu/~repwkshop (from Internet Archive Wayback Machine)<http://www.sis.pitt.edu/%7Erepwkshop>
> http://www.digitalhumanities.org/dhq/vol/3/1/000035/000035.html
> http://en.wikipedia.org/wiki/E-Science
> http://journalofdigitalhumanities.org/
> http://chia.pitt.edu/
> http://www.perseus.tufts.edu/hopper/
>
>
>
> *DAME WENDY HALL*, University of Southampton
>
> *Web Science *
> * [Overview to come]*
> *READINGS:*
> O'Hara, K., Contractor, N. S., Hall, W., Hendler, J. A., & Shadbolt, N.
> (2013). Web Science: understanding the emergence of macro-level features
> on the World Wide Web<http://eprints.soton.ac.uk/360718/1/1800000017-O%27Hara-Vol4-WEB-017.pdf>
> . *Foundations and Trends in Web Science*, *4*(2-3), 103-267.
> Tiropanis, T., Hall, W., Shadbolt, N., De Roure, D., Contractor, N., &
> Hendler, J. (2013). The Web Science Observatory<http://eprints.soton.ac.uk/354604/1/TheWebScienceObservatory-postprint.pdf>
> . *IEEE Intelligent Systems*, *28*(2), 100-104.
>
>
> *HARRY HALPIN*, University of Edinburgh, Institute of Communicating and
> Collaborating Systems, School of Informatics
>
> *Web Semantics*
> *[Overview to come]*
> *READINGS:*
> Hui, Y., & Halpin, H. (2013). Collective individuation: the future of the
> social web<http://digital-studies.org/wp/wp-content/uploads/2013/01/HuiYuk_and_HarryHalpin_FINAL_CollectiveIndividuation.pdf>
> . *The Unlike Us Reader*, 103-116.
> Halpin, H., Robu, V., & Shepherd, H. (2007, May). The complex dynamics of
> collaborative tagging<http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.78.5341&rep=rep1&type=pdf>.
> In *Proceedings of the 16th international conference on World Wide Web* (pp.
> 211-220). ACM.
>
>
> *JIAWEY HAN*, University of Illinois at Urbana-Champaign, Department of
> Computer Science
>
> *Knowledge Mining in Heterogeneous Information Networks*
>
> *OVERVIEW:** People and informational objects are interconnected, forming
> gigantic, interconnected, integrated information networks.  By structuring
> these data objects into multiple types, such networks become
> semi-structured heterogeneous information networks.  Most real world
> applications that handle big data, including interconnected social media
> and social networks, medical information systems, online e-commerce
> systems, or database systems, can be structured into typed,
> semi-structured, heterogeneous information networks.  For example, in a
> medical care network, objects of multiple types, such as patients, doctors,
> diseases, medication, and links such as visits, diagnosis, and treatments
> are intertwined together, providing rich information and forming
> heterogeneous information networks.  Effective construction, exploration
> and analysis of large-scale heterogeneous information networks poses an
> interesting but critical challenge.*
> *In this talk, we present principles, methodologies and algorithms for
> mining in heterogeneous social and information networks and show that
> mining typed, heterogeneous networks is a promising research frontier in
> data mining research.  Departing from many existing network models that
> view data as homogeneous graphs or networks, the semi-structured
> heterogeneous information network model leverages the rich semantics of
> typed nodes and links in a network and can uncover surprisingly rich
> knowledge from interconnected data.  This heterogeneous network modeling
> will lead to the discovery of a set of new principles and methodologies for
> mining and exploring interconnected data, such as rank-based clustering and
> classification, meta path-based similarity search, and meta path-based
> link/relationship prediction.  We will also discuss our recent progress on
> construction of quality semi-structured heterogeneous information networks
> from unstructured data and point out some promising research directions.*
> *READINGS:*
> Han, J., & Wang, C. (2014). Mining Latent Entity Structures from Massive
> Unstructured and Interconnected Data<http://www.cs.uiuc.edu/%7Ehanj/pdf/sigmod14_jhan.pdf>
> .
> Ren, X., Wang, Y., Yu, X., Yan, J., Chen, Z., & Han, J. (2014). Heterogeneous
> Graph-Based Intent Learning with Queries, Web Pages and Wikipedia Concepts<http://www.cs.uiuc.edu/%7Ehanj/pdf/wsdm14_xren.pdf>
> .
>
>
> *JIM HENDLER*, Rensselaer Polytechnic Institute, Department of Computer
> Science
>
> *The Data Web*
> *[Overview to come]*
> *READINGS:*
> Hendler, J., & Berners-Lee, T. (2010). From the Semantic Web to social
> machines<http://123seminarsonly.com/Seminar-Reports/009/64490827-Semantic-Web.pdf>:
> A research challenge for AI on the World Wide Web. *Artificial
> Intelligence*, *174*(2), 156-161.
> Shadbolt, N., Hall, W., Hendler, J. A., & Dutton, W. H. (2013). Web
> science: a new frontier<http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3575572/>
> . *Philosophical Transactions of the Royal Society A: Mathematical,
> Physical and Engineering Sciences*, *371*(1987), 20120512.
> Hendler, J. (2014). Big data meets computer science. *Journal of
> Computing Sciences in Colleges*, *29*(6), 5-6.
>
>
> *TONY HEY*, Microsoft Research Connections
>
> *Open Science and the Web*
>
> *OVERVIEW:** 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.*
> *READINGS:*
> Fox, G., Hey, T., & Trefethen, A. (2013). Where Does All the Data Come
> From<http://grids.ucs.indiana.edu/ptliupages/publications/Where%20does%20all%20the%20data%20come%20from%20v7.pdf>
> ?. *Data-Intensive Science*, 115.
> Hey, T. (2010). The next scientific revolution<http://i2ge.com/wp-content/uploads/2012/01/Next-Scientific-Revolution.pdf>
> . *Harv Bus Rev*, *88*(11), 56-63.
> The Fourth Paradigm: Data-Intensive Scientific Discovery Book 2009
>
> http://research.microsoft.com/en-us/collaboration/fourthparadigm/default.aspx<http://research.microsoft.com/en-us/collaboration/fourthparadigm/default.aspx%20>
> http://eprints.rclis.org/9202/1/heyhey_final_web.pdf
>
> *FRANCIS HEYLIGHEN*, Vrije Universiteit Brussel, ECCO - Evolution,
> Complexity and Cognition research group
>
> *Towards a Global Brain: the Web as a Self-organizing, Distributed
> Intelligence*
>
> *OVERVIEW:** 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.*
> *READINGS:*
> Heylighen, F. (2014). Return to Eden? Promises and Perils on the Road to
> a Global Superintelligence<http://pespmc1.vub.ac.be/Papers/BrinkofSingularity.pdf>
> . *The End of the Beginning: Life, Society and Economy on the Brink of
> the Singularity, B. Goertzel and T. Goertzel, Eds*.
> Heylighen, F. (2013). Self-organization in Communicating Groups: the
> emergence of coordination, shared references and collective intelligence<http://cogprints.org/7265/1/barcelona-languageso.pdf>.
> In *Complexity Perspectives on Language, Communication and Society* (pp.
> 117-149). Springer Berlin Heidelberg.
>
>  *BRYCE HUEBNER*, Georgetown University, Department of Philosophy
>
> *Macrocognition: Situated versus Distributed*
>
> *OVERVIEW:** '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.*
> *READINGS:*
> Cacciabue, P. C., & Hollnagel, E. (1995). Simulation of cognition:
> Applications (pp. 55-73). Lawrence Erlbaum Associates.
> Huebner, B., Bruno, M., & Sarkissian, H. (2010). What does the nation of
> China think about phenomenal states?<http://www.philosophyandreligion.msstate.edu/faculty/pdf/HuebnerBrunoSarkissian-ChinaPhenomenal-RPP-2010.pdf>
> . *Review of Philosophy and Psychology*, *1*(2), 225-243.
> Huebner, B. (2011). Genuinely collective emotions<http://www9.georgetown.edu/faculty/lbh24/GenuinelyCollectiveEmotions.pdf>
> . *European Journal for Philosophy of Science*, *1*(1), 89-118.
> Huebner, B. (2014). *Macrocognition: A Theory of Distributed Minds and
> Collective Intentionality*. Oxford University Press.
> Klein, G., Ross, K. G., Moon, B. M., Klein, D. E., Hoffman, R. R., &
> Hollnagel, E. (2003). Macrocognition<http://cmapsinternal.ihmc.us/rid=1H1V9P5VL-1FR35RD-HKV/Macrocognition-IEEE2003.pdf>
> . *Intelligent Systems, IEEE*, 18(3), 81-85.
> http://brycehuebner.weebly.com/
> http://www.sciencedirect.com/science/article/pii/S1389041713000259
>
>
>  *KAYVAN KOUSHA*, University of University of, Statistical Cybermetrics
> Research Group, School of Technology
>
> *Web Impact Metrics for Research Assessment*
> *[Overview to come]*
> *READINGS:*
> Thelwall, M., Vaughan, L., & Bjorneborn, L. (2005). Webometrics<http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.118.5694&rep=rep1&type=pdf>
> . *ARIST*, *39*(1), 81-135.
> Kousha, K., & Thelwall, M. (2007). Google Scholar citations and Google
> Web/URL citations: A multi‐discipline exploratory analysis<http://eprints.rclis.org/7641/1/google.pdf>
> . *Journal of the American Society for Information Science and Technology*
> , *58*(7), 1055-1065.
>
>
> *VINCENT LARIVIERE*, Universite du Quebec a Montreal
>
> *Scientific Interaction Before and Since the Web*
> *[Overview to come]*
> *READINGS:*
> Wallace, M. L., Lariviere, V., & Gingras, Y. (2012). A small world of
> citations? The influence of collaboration networks on citation practices<http://dx.plos.org/10.1371/journal.pone.0033339.g005>
> . *PloS one*, *7*(3), e33339.
> Lariviere, V., Gingras, Y., & Archambault, E. (2006). Canadian
> collaboration networks: A comparative analysis of the natural sciences,
> social sciences and the humanities<http://www.chss.uqam.ca/Portals/0/docs/Canadian_Networks_Final.pdf>
> . *Scientometrics*,*68*(3), 519-533.
> Bollen, J., Van de Sompel, H., Hagberg, A., & Chute, R. (2009). A
> principal component analysis of 39 scientific impact measures<http://dx.plos.org/10.1371/journal.pone.0006022>
> . *PloS one*, *4*(6), e6022.
>
>
>  *YANG-YU LIU*, Northeastern University, Center for Complex Network
> Research, Physics Department
>
> *Controllability and Observability of Complex Systems*
>
> *OVERVIEW:** 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. *
> *READINGS:*
> Liu, Y. Y., Slotine, J. J., & Barabasi, A. L. (2011). Controllability of
> complex networks<http://leonidzhukov.net/hse/2011/seminar/papers/nature10011.pdf>
> . *Nature*, *473*(7346), 167-173.
> Zhao, C., Wang, W. X., Liu, Y. Y., & Slotine, J. J. (2014). Universal
> Symmetry in Complex Network Control <http://arxiv.org/pdf/1403.0041.pdf>. *arXiv
> preprint arXiv:1403.0041*.
>
>
>  *THOMAS MALONE*, MIT Sloan School of Management
>
> *Collective Intelligence: What is it?  How can we measure it?  And how can
> we increase it?*
>
> *OVERVIEW:** This talk will describe how the same statistical techniques
> used to measure intelligence in individuals can be used to measure the
> "collective intelligence" of groups.  We find that, just as with
> individuals, a single statistical factor can predict the performance of a
> group on a wide range of different tasks.  This factor is only weakly
> correlated with the group members' individual intelligence.  It is,
> however, correlated with the group members' social perceptiveness,
> conversational behavior, and gender.*
> *The talk will also include brief overviews of other work to increase
> collective intelligence by: (a) combining predictions from humans and
> computers, (b) mapping the "genome" of collective intelligence, and (c)
> harnessing the collective intelligence of thousands of people around the
> world to develop proposals for what to do about global climate change.*
> *READINGS:*
>  Bernstein, A., Klein, M., & Malone, T. W. (2012). Programming the global
> brain <http://dspace.mit.edu/openaccess-disseminate/1721.1/75216>. *Communications
> of the ACM*, *55*(5), 41-43.
> Malone, T. W., Laubacher, R., & Dellarocas, C. (2010). The collective
> intelligence genome <http://www.scob.alaska.edu/afef/CollectiveIntel.pdf>
> . *IEEE Engineering Management Review*, *38*(3), 38.
>
> *ALEXANDRE MONNIN*, Institut National de Recherche en Informatique et
> Automatique (INRIA) Sophia Antipolis
>
> *Web Philosophy*
> *[Overview to come]*
> *READINGS:*
> Monnin, A., & Halpin, H. (2013). Toward a Philosophy of the Web:
> Foundations and Open Problems<http://media.johnwiley.com.au/product_data/excerpt/8X/11187001/111870018X-1.pdf>
> . *Philosophical Engineering: Toward a Philosophy of the Web*, 1-20.
> Monnin, A. (2013). *Vers une philosophie du Web: le Web comme
> devenir-artefact de la philosophie*<http://hal.inria.fr/docs/00/87/91/47/PDF/Vers_une_philosophie_du_Web_thA_se_version_finale_de_publication.pdf>* (entre
> URIs, tags, ontologie (s) et ressources)* (Doctoral dissertation,
> Universite Pantheon-Sorbonne-Paris I).
>
>
> *ADILSON MOTTER*, Northeastern University, Physics of Complex Systems and
> Networks
>
> *Bursts, Cascades, and Time Allocation*
>
> *OVERVIEW:** 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.*
> *READINGS:*
> Cornelius, S. P., Kath, W. L., & Motter, A. E. (2013). Realistic control
> of network dynamics <http://arxiv.org/pdf/1307.0015>. *Nature
> communications*, *4*.
> Altmann, E. G., Pierrehumbert, J. B., & Motter, A. E. (2009). Beyond word
> frequency: Bursts, lulls, and scaling in the temporal distributions of words<http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0007678#pone-0007678-g003>
> . *PLoS One*, *4*(11), e7678.
> Motter, A. E. (2010). Nonlinear dynamics: Spontaneous synchrony breaking<http://arxiv.org/pdf/1003.2465.pdf?origin=publication_detail>
> . *Nature Physics*, *6*(3), 164-165.
>
>
>
>
> *CAMERON NEYLON*, PLOS (Public Library of Science)
>
> *Network Ready Research: The Role of Open Source and Open Thinking*
>
> *OVERVIEW:** 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 **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"?*
> *READINGS:*
> Molloy, J. C. (2011). The open knowledge foundation: open data means
> better science <http://dx.plos.org/10.1371/journal.pbio.1001195.g001>. *PLoS
> biology*, *9*(12), e1001195.
> Whyte, A., & Pryor, G. (2011). Open science in practice: Researcher
> perspectives and participation<http://ijdc.net/index.php/ijdc/article/viewFile/173/241>
> . *International Journal of Digital Curation*, *6*(1), 199-213.
> http://cameronneylon.net/blog/fork-merge-and-crowd-sourcing-data-curation/
> https://www.youtube.com/watch?v=Axr80qm6NHw
>
>
> *TAKASHI NISHIKAWA*, Northwestern University, Physics & Astronomy
>
> *Visual Analytics Approach for Discovering Network Structure Beyond
> Communities*
>
> *OVERVIEW: **To understand the formation, evolution, and function of
> complex systems, it is crucial to understand the internal organization of
> their interaction networks.  Partly due to the impossibility of visualizing
> large complex networks, resolving network structure remains a challenging
> problem.  In this talk, I will describe an approach that overcomes this
> difficulty by combining the visual pattern recognition ability of humans
> with the high processing speed of computers to develop an exploratory
> method for discovering groups of nodes characterized by common network
> properties, including but not limited to communities of densely connected
> nodes.  Without any prior information about the nature of the groups, the
> method simultaneously identifies the number of groups, the group
> assignment, and the properties that define these groups.  The results of
> applying our method to real networks suggest that most group structures
> lurk undiscovered in the fast-growing inventory of social, biological, and
> technological networks of scientific interest.*
> *READINGS:*
> Nishikawa, T., & Motter, A. E. (2011). Discovering network structure
> beyond communities <http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3240966/>
> . *Scientific reports*, *1*.
> Nishikawa, T., & Motter, A. E. (2010). Network synchronization landscape
> reveals compensatory structures, quantization, and the positive effect of
> negative interactions <http://www.pnas.org/content/107/23/10342.full>. *Proceedings
> of the National Academy of Sciences*, 107(23), 10342-10347.
>
>
>
> *FILIPPO RADICCHI*, Indiana University, Center for Complex Networks and
> Systems Research, School
>  of Informatics and Computing
>
> *Detecting Communities in Complex Networks: The Role of Degree
> Correlations*
> *[Overview to come]*
> *READINGS:*
> Radicchi, F., Castellano, C., Cecconi, F., Loreto, V., & Parisi, D.
> (2004). Defining and identifying communities in networks<http://www.pnas.org/content/101/9/2658.long>
> . *Proceedings of the National Academy of Sciences of the United States
> of America*, *101*(9), 2658-2663.
> Radicchi, F., & Castellano, C. (2013). Analysis of bibliometric
> indicators for individual scholars in a large data set<http://arxiv.org/pdf/1304.1267.pdf>
> . *Scientometrics*, *97*(3), 627-637.
>
>
>  *MARK ROWLANDS*, Indiana University, Department of Psychological and
> Brain Sciences
>
> *Extended Mentality: What It Is and Why It Matters*
>
> *OVERVIEW:** Does it matter if (some) mental processes extend into the
> subjects's environment. The notion of mattering is an elliptical one:
> something matters only to someone and in some way. A tacit assumption in
> the recent debate is that the question of whether mental processes extend
> should be decided by way of its implications for cognitive science. The
> persons to whom it matters and who should be charged with adjudicating the
> issue are, accordingly, cognitive scientists and philosophers of cognitive
> science. I shall argue against this assumption. What is really at stake is
> a philosophical vision of the nature of mentality that can, to a
> considerable extent, be elaborated independently of developments in
> cognitive science.*
> *READINGS:*
> Rowlands, M. (2009). Enactivism and the extended mind<http://demo.sheruyasodha.com.np/uploads/Topoi_28_%5B2009%5D_53-62.pdf>
> . *Topoi*, *28*(1), 53-62.
> Rowlands, M. (2009). Extended cognition and the mark of the cognitive. *Philosophical
> Psychology*, *22*(1), 1-19.
> Rowlands, M. (2010). *The new science of the mind*. Mit Press.
>
>
>  *ROBERT RUPERT*, University of Colorado, Department of Philosophy
>
> *What is Cognition, and How Could it be Extended?*
>
> *OVERVIEW:** Cognition is the overarching natural kind or property that
> distinctively contributes to the production of the proprietary phenomenon
> investigated by cognitive science, that is, intelligent behavior. On the
> ground, cognitive-scientific practice relies most fundamentally on
> modeling. Taken together, these two observations suggest a way to identify
> what it is for a process or state to be cognitive: abstract from the
> variety of forms of successful cognitive-scientific modeling. The central
> theoretical construct of cognitive science, the one common to all
> successful forms of cognitive-scientific modeling, is the relatively
> persisting, integrated system that moves through the world managing the
> agent's interaction with the environment when the agent behaves
> intelligently. I characterize the relevant form of integration more
> precisely, then ask (1) whether humans currently function as components in
> cognitive systems that include more than individual humans and (2) whether
> the idea of an integrated system can help us to decide whether to count as
> cognitive the processes occurring in creatures other than humans.*
> *READINGS:*
> Rupert, R. D. (2011). Cognitive systems and the supersized mind<http://hci.ucsd.edu/102a/readings/SSMSymp/Rupert.pdf>
> . *Philosophical studies*, *152*(3), 427-436.
> Rupert, R. D. (2009). *Cognitive systems and the extended mind*. Oxford
> University Press.
>
>
>  *JUDITH SIMON*, Institut fuer Technikfolgenabschuetzung und
> Systemanalyse (ITAS)
>
> *Socio-Technical Epistemology*
> *[Overview to come]*
> *READINGS:*
> Simon, J. (2010). The entanglement of trust and knowledge on the Web. *Ethics
> and Information Technology*, *12*(4), 343-355.
> Simon, J. (2010). A Socio‐epistemological Framework for Scientific
> Publishing<http://moodle.tau.ac.il/2012/pluginfile.php/393107/mod_resource/content/1/Simon%202010.pdf>
> . *Social Epistemology*, *24*(3), 201-218.
>
>  *JEFF STIBEL*, Dun & Bradstreet Credibility Corp
>
> *Web and Brain*
> *[Overview to come]*
> *READINGS:*
> Stibel, J. M. (2013). *Wired for Thought: How the Brain Is Shaping the
> Future of the Internet*. Harvard Business Press.
> Stibel, J. (2013). *Breakpoint: Why the Web Will Implode, Search Will be
> Obsolete, and Everything Else You Need to Know about Technology is in Your
> Brain*. Macmillan.
> Smith, N. The beginning of the end for the Internet<http://digital-library.theiet.org/deliver/fulltext/et/8/9/20130934.pdf?itemId=/content/journals/10.1049/et.2013.0934&mimeType=pdf> (Stibel
> Book Interview)
>
>
> *JOHN SUTTON*, Macquarie University, Department of Cognitive Science
>
> *Transactive Memory and Distributed Cognitive Ecologies*
>
> *OVERVIEW:** Does the internet alter the way we remember? What
> understanding of memory makes sense in light of our rich interactions with
> technologies and with other people? This presentation introduces
> theoretical and empirical work on distributed cognitive ecologies as a
> framework for addressing web science and the mind. It surveys recent
> accounts of the effect of new technologies on human memory, with a focus on
> transactive memory theory. It embeds recent empirical findings on the ways
> we remember in conjunction with each other and with online systems in a
> broader picture of socially distributed remembering. In place of
> metaphysical concerns about extended cognition and popular worries about
> the erosion of natural memory, it suggests a number of rich research
> possibilities for integrating the cognitive and social sciences.*
> *READINGS:*
> Michaelian, K., & Sutton, J. (2013). Distributed cognition and memory
> research: History and current directions<http://kmichaelian.bilkent.edu.tr/offprints/2013RoPP-distributed.pdf>
> . *Review of Philosophy and Psychology*, *4*(1), 1-24.
> Sutton, J., Harris, C. B., Keil, P. G., & Barnier, A. J. (2010). The
> psychology of memory, extended cognition, and socially distributed
> remembering <http://www.johnsutton.net/PCS_Sutton_Harris_Keil_Barnier.pdf>
> . *Phenomenology and the cognitive sciences*, *9*(4), 521-560.
> http://www.johnsutton.net/Sutton_CHSC.pdf
> http://www.johnsutton.net/PCS_Sutton_Harris_Keil_Barnier.pdf
> http://www.wjh.harvard.edu/~wegner/pdfs/science.1207745.full.pdf
>
> *PHIL TETLOW*, IBM United Kingdom Limited
>
>
> *Computational Models for Web Science*
>
>
> *OVERVIEW:** Web Science has matured considerably in recent years but we
> still don't really know where our train is heading. For fundamental
> research to work it has to be based on three principles: (1) invariance: an
> idea should translate across multiple frames of reference and
> applications;  (2) causality: some recognisable change should be evident
> from an idea's application in any given frame of reference; (3) singularity
> of metric: the effectiveness of any idea should be measurable using a
> context-free.  This presentation will describe early work done on applying
> the Invariance, Causality, Metric (ICM) framework to Web Science and its
> implications for other areas of study such as complexity theory, systems
> design and public safety.*
> *READINGS:*
> Tetlow, P. (2012). *Understanding Information and Computation: From
> Einstein to Web Science*. Gower Publishing, Ltd..
> Tetlow, P. D. (2007). *The Web's awake: An introduction to the field of
> Web Science and the concept of Web life*. John Wiley & Sons.
>
>
> *GEORG THEINER*, Villanova University, Department of Philosophy
>
> *Domains and Dimensions of Group Cognition*
> *[Overview to come]*
> *READINGS:*
> Theiner, G., Allen, C., & Goldstone, R. L. (2010). Recognizing group
> cognition<http://colinallen.dnsalias.org/Papers/Published/2010/2010-Theiner-etal-CogSys.pdf>
> . *Cognitive Systems Research*, *11*(4), 378-395.
> Theiner, G., & O'Connor, T. (2010). 5 The Emergence of Group Cognition<http://www.indiana.edu/%7Escotus/files/EmergGrpCognition.pdf>
> . *Emergence in science and philosophy*, *6*, 78.
> Theiner, G. (2013) The 'Symbol Un-Grounding Problem'<http://avant.edu.pl/wp-content/uploads/Folder_Trends2013.pdf#page=36>
>
>
>
>
>
> *PETER TODD*, Indiana University, Department of Psychological and Brain
> Sciences
>
> *Foraging in the World, Mind and Online*
>
> *OVERVIEW:** 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).*
> *READINGS:*
> Hills, T. T., Jones, M. N., & Todd, P. M. (2012). Optimal foraging in
> semantic memory<http://www.researchgate.net/publication/221827967_Optimal_foraging_in_semantic_memory/file/79e4150a225159aaf9.pdf>
> . *Psychological review*, *119*(2), 431.
> Todd, P. M., Hills, T. T., & Robbins, T. W. (Eds.). (2012). *Cognitive
> search: Evolution, algorithms, and the brain*. MIT Press.
> Sporns, O. (2011). The human connectome: a complex network<http://www.researchgate.net/publication/49770658_The_human_connectome_a_complex_network/file/9fcfd51095acd0d148.pdf>
> . *Annals of the New York Academy of Sciences*, *1224*(1), 109-125.
>
>
>
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