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SBP 2013: Big Data Challenge

          

MIT Human Dynamics laboratory will supply several mobile datasets with dynamics of several communities. Open-ended challenge includes proposing applications to demonstrate the value of these datasets, how to extend the experiments, and agent-based or system dynamics models of the communities.

From:
SBP 2013Int. Conference on Social Computing, Behavioral-Cultural Modeling, and Prediction (SBP 2013)

Washington, DC, April 2-5, 2013

www.sbp2013.org/challenge.shtml

SBP is pleased to offer a challenge problem again in 2013, and we expect it to build on the successes of last year's inaugural challenge. The theme of the SBP 2013 Challenge is how to better demonstrate the scientific and business value of "big data."

Challenge Overview
Because of their pervasiveness, sensing capabilities, and computational power, cell phones afford a convenient platform to advance the understanding of social dynamics and influence. However, lack of data in the public domain and the interdisciplinary nature of conducting social science research with mobile phones continue to limit the role that phones play in social research and mobile commerce backed by a solid social-science foundation.

In an attempt to address these challenges, we are working with the MIT Human Dynamics laboratory to release several mobile datasets on "Reality Commons" that contain the dynamics of several communities of about 100 people each.

Challenge Problem
We invite researchers to either 1) propose and submit their own applications to demonstrate the scientific and business values of these data sets, 2) suggest how to meaningfully extend these experiments to larger populations, or 3) develop math that fits agent-based models or systems dynamics models to larger populations. The problem itself will be open-ended, and we encourage approaches from different disciplines that encompass a range of applications using the data.

Submissions and Finalists
Submissions (of approximately 3000~4000 words) will be evaluated based on theoretical grounding and experimental evidence. Winners will be selected by an interdisciplinary committee of researchers, and recognized at the conference with 1st, 2nd, and 3rd-place prizes. The winners will also introduce their ideas briefly at the conference and/or give a quick demo. We hope to collect the submissions into a publication.

Important Dates

  • Submission deadline: January 31, 2013 (23:59 PST)
  • Notification of Winners: March 2, 2013

2012 challenge problem winners

  • Matthew Lease, School of Information, University of Texas at Austin, "Discovering and Navigating Memes in Social Media"
  • Masoud Makrehchi, Research Scientist, Thomson Reuters, Toronto, "Conflict Thermometer: Predicting Social Conflicts by Analyzing Language Gap in Polarized Social Media"


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