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Networks and Network Analysis for the Humanities: An NEH Institute for Advanced Topics in Digital Humanities

August 15 - 27, 2010

Organizing Committee | Scientific Overview

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Organizing Committee

Jonathan Berger (Stanford University, CCRMA)
Zoe Borovsky (University of California, Los Angeles (UCLA))
Gregory Crane (Tufts University)
Tina Eliassi-Rad (Rutgers University)
Mark Green (University of California, Los Angeles (UCLA), Director Emeritus)
Peter Jones (Yale University, Mathematics)
Lewis Lancaster (University of California, Berkeley (UC Berkeley))
Timothy Tangherlini (University of California, Los Angeles (UCLA), Germanic Languages and Literatures, Scandinavian Section)

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Scientific Overview

In recent years, attention has been drawn in both the academic and popular press to the ubiquity of networks in everyday life, from communications networks to investment networks to power transmission networks to social networks. As a result of this increasing awareness, the study of the different types of networks that link us together, and the analysis of the structure of those networks has risen to greater and greater prominence not only in the mathematical and social sciences but also in the Humanities. Despite this increasing awareness of the importance of networks for theoretical advances in the Humanities, there is a considerable gap between recognizing in the broadest strokes the existence of these complex, dynamic systems and the very hard work of the consistent application of rigorous theoretically sound methods to the study of networks. Computational tools for the discovery and analysis of networks offer the promise of bridging this gap; unfortunately, many of these tools are as complex to work with as the underlying data itself. A main goal of this institute is to teach Humanities scholars some of the most accessible of these techniques.

In broadest terms, the topics to be addressed in the Institute are: (a) the science of networks and networks in Humanistic inquiry (b) preparing and cleaning Humanities data for network analysis (c) internal networks in Humanistic data: networks of characters, networks of texts, networks of language (d) external networks in Humanistic data: networks of influence, networks of production, networks of reception.

The institute, housed at UCLA, features lectures and tutorials from some of the leading scholars in Network Analysis and Visualization. The schedule will also allow participants an adequate opportunity to interact, to experiment and to learn from the institute faculty. The majority of the faculty come from the Applied Math and Computer Science community who have an interest in developing and applying tools for the type of corpora with which Humanities scholars typically work. There is significant time set aside during the institute for two types of important activity: (1) independent and group learning/experimentation with software on test datasets, so that lessons learned are not purely theoretical, but are have an applied component to them as well (2) structured free-time for developing collaborative ideas.

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Confirmed Speakers

James Abello (Rutgers University New Brunswick/Piscataway)
Edooardo Airoldi (Harvard University)
Nikola Andric (Harvard University)
Hossein Azari Soufiani (Harvard University)
Jonathan Berger (Stanford University)
Luis Bettencourt (Los Alamos National Laboratory)
David Birnbaum (University of Pittsburgh)
David Blei (Princeton University)
Katy Borner (Indiana University)
Jonathan Chang (Facebook)
Ronald Coifman (Yale University)
Gregory Crane (Tufts University)
James Danowski (University of Illinois at Chicago)
Nischal Devanur (Rutgers University New Brunswick/Piscataway)
Inderjit Dhillon (University of Texas at Austin)
Fernando Diaz (Yahoo! Research)
Tina Eliassi-Rad (Rutgers University)
Lise Getoor (University of Maryland)
Bernardo Huberman (Hewlett-Packard Laboratories)
Yannet Interian (Google Inc.)
Aaron Koblin (Google)
Lewis Lancaster (University of California, Berkeley (UC Berkeley))
Jure Leskovec (Stanford University)
David Liben-Nowell (Carleton College)
Sofus Macskassy (Fetch Technologies)
Lev Manovich (University of California, San Diego (UCSD))
Dan McFarland (Stanford University)
Filippo Menczer (Indiana University)
David Mimno (University of Massachusetts Amherst)
John Mohr (University of California, Santa Barbara (UC Santa Barbara))
Franco Moretti (Stanford University)
Brad Paley (Digital Image Design Incorporated)
Laurie Pearce (University of California, Berkeley (UC Berkeley))
Ray Siemens (University of Victoria)
David Smith (University of Massachusetts Amherst)
Kryztof Urban (University of California, Los Angeles (UCLA))
John Walsh (Indiana University)
Scott Weingart (Indiana University)
Alex Yahja (University of Illinois at Urbana-Champaign)
Steven Zucker (Yale University)

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Contact Us:

Institute for Pure and Applied Mathematics (IPAM)
Attn: HUM2010
460 Portola Plaza
Los Angeles CA 90095-7121
Phone: 310 825-4755
Fax: 310 825-4756
Email: ipam@ucla.edu
Website: http://www.ipam.ucla.edu/programs/hum2010/

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