FINAL CFP: NIPS 2010 workshop on Networks Across Disciplines: Theory and Applications (deadline Oct 29)

[Anna Goldenberg]

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                                                              FINAL CALL FOR PAPERS

                                     Networks Across Disciplines: Theory and Applications

                                                    a workshop in conjunction with

                             24th Annual Conference on Neural Information Processing Systems

                                                                   (NIPS 2010)

                                           December 11, 2010  Whistler, BC, Canada

                                http://morrislab.med.utoronto.ca/~anna/networksnips2010

                                Deadline for Submissions: Friday, October 29, 2010

                                Notification of Decision: Friday, November 5, 2010  (early registration deadline as well)

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Overview:

Networks are used across a wide variety of disciplines to describe interactions between entities -- in sociology these are relations between people, such as friendships (Facebook); in biology, physical interactions between genes; the Internet, sensor networks, transport networks, ecological networks just to name a few. Researchers in machine learning, statistics and physics communities search for ways to explain and model the phenomena observed across the multitude of these disciplines. The theoretical findings stemming from different areas are heterogeneous and often complementary yet there are few means for intellectual exchange and collaboration across disciplinary boundaries.

The goal of our workshop is to actively promote a collaborative effort in addressing statistical and computational issues arising when modeling collections of data represented by networks, static or dynamic; to "cross-pollinate" fields with ideas from different areas; to introduce new questions to the theoretical modeling audience and to broaden the focus by considering new areas. 

Presentations will include novel network models, the application of established models to new domains, theoretical and computational issues, limitations of current methods and directions for future research.

Confirmed Invited Speakers:

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Carter Butts  (Sociology, UC Irvine)

Jonathan Chang  (Facebook)

Aaron Clauset  (Computer Science, University of Colorado Boulder)

Lise Getoor  (Computer Science, University of Maryland)

Trey Ideker  (Bioengineering, UCSD)

Sayan Mukherjee  (Statistics, Duke University)

Online Submissions:

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We welcome the following types of papers:

1. Research papers that introduce new models or apply established models to novel domains,

2. Research papers that explore theoretical and computational issues, or

3. Position papers that discuss shortcomings and desiderata of current approaches, or propose new directions for future research.

All submissions will be peer-reviewed; exceptional work will be considered for oral presentation. We encourage authors to emphasize the role of learning and its relevance to the application domains at hand. In addition, we hope to identify current successes in the area, and will therefore consider papers that apply previously proposed models to novel domains and data sets.

Submissions should be 4-to-8 pages long, and adhere to NIPS format (http://nips.cc/PaperInformation/StyleFiles). Please make the author information visible as in the final draft. Please email your submissions to: networks...@gmail.com

Deadline for Submissions: Friday, October 29, 2010

Notification of Decision: Friday, November 5 2010

Format:

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This is a one-day workshop. The program will feature 6 invited talks, poster spotlights and a poster session, and panel discussions.  All submissions will be peer-reviewed; exceptional work will be considered for oral presentation. For up-to-date information on the workshop please check http://morrislab.med.utoronto.ca/~anna/networksnips2010

Organizers:

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Anna Goldenberg, University of Toronto, anna.go...@utoronto.ca

Edo Airoldi, Harvard University, air...@fas.harvard.edu

Jure Leskovec, Stanford University, ju...@cs.stanford.edu

We look forward to receiving your submissions!

Thank you, 

Anna, Edo and Jure