SBP-BRiMS 2024 Grand Interdisciplinary Data-Science and Modeling Challenge.
September 18-20, 2024, Hybrid.
Gates Hillman Complex,
4902 Forbes Ave, Pittsburgh, PA 15213.

More information on Challenge 1 - 2024 World Elections Challenge

More information on Challenge 2 - Synthetic Social Media Data Creation Challenge.

  • Participants may work individually or in teams.
  • Participants must define what key social or political issue being addressed.
  • Participants must use data generated by at least two large language generators.
  • Participants must address one of the three research questions listed below.
  • Participants should generate questions related to the social or political issue and should employ one or more methodologies appropriate for the empirical assessment of or forecasting on the basis of big data (e.g., computational algorithms, machine learning, computer simulation, social network analysis, text mining).
  • Each participating team may prepare one or more entry.
  • Entries must represent original work that has not been previously published or submitted to other challenges.
  • At the conference, all entries will be judged by the community using a participant voting system.
  • The winning team of the challenge problem will be invited to write a whole paper to be published in the Journal of Computational and Mathematical Organization Theory – in the SBP-BRiMS2024 special issue.

A strong entry generally has one or more of these components:

  • Employ multiple data sets.
  • Be theory based.
  • Include at least one high quality visualization (note that participants will be allowed to display dynamic visualizations via some form of electronic media e.g., by hanging a tablet from the poster. However, please note that tables will not be provided.
  • Demonstrates a deep understanding of the problem being addressed.
  • The entry should generate a new empirical finding that challenges or provides novel support for existing social or political theories or provides information of policy relevance.

In addition, a strong entry should be well-written and provide some level of creativity in its use of or combination of data.

Submitting an Entry

What to Submit

You need to submit 2 things: a 2-pages extended abstract in conference format and a single PowerPoint teaser slide - that we can use to promote your entry. All two of these will go in the non-archival online proceedings.

Challenge Paper:

A 2-pages extended abstract describing the project. This includes references as well. This should define:

  • What are the questions asked?
  • What is the key policy issue or theory being addressed?
  • What is the key methodology or methodologies used?
  • Describe your dataset and how to access it?
  • What tools were used to analyze the data?
  • Any novel contributions or findings?
  • Who is the team? Provide names, emails, and institutions.

Promotion/teaser Slide:

This is a single PowerPoint slide. The purpose of this slide is to excite people to come to your poster. This slide will also be put online. We will use this slide to promote your entry. This slide should contain:

  • Title of project
  • Names of all team members
This slide may contain:
  • Any word or image or idea that you think will promote your poster
  • Logos for your group, company or organization

When to Submit

Challenge Response Submission: 21-Jul-2024

Author Notification: 4-Aug-2024

Final Files Due: 1-Sep-2024

Where to Submit

All materials should be submitted directly to sbp-brims@andrew.cmu.edu

What to Present

All entries will send at least one team member to SBP-BRiMS2024 who will be registered for the conference by the early registration deadline to represent their entry.

How entries will be judged

Entries will be judged by community voting at the poster session.

Who is eligible

Anyone with an interest in applying to address a social or policy issue. Entries are accepted from single individuals or teams.

Suggestion: Participants may want to use Jupyter to demonstrate their code and results. Examples can be found here, Sample Jupyter Notebooks.

Winning Entry

The winning team of the challenge problem will be invited to write a whole paper to be published in the Journal of Computational and Mathematical Organization Theory – in the SBP-BRiMS2024 special issue.

Challenge Committee

  • Annetta Burger
  • Kathleen Carley

Submit Questions Regarding Challenge

All questions and concerns can be sent to sbp-brims@andrew.cmu.edu

2018 Challenge Winners and Runners Up

2018 Disinformation Challenge Winner: "FakeNewsTracker: Towards Fake News Collection, Detection, and Visualization" by Kai Shu, Deepak Mahudeswaran and Huan Liu

2018 Opioids Challenge Winner: "Using Synthetic Populations to Understand Geospatial Patterns in Opioid Related Overdose and Predicted Opioid Misuse" by Savannah Bates, Vasiliy Leonenko, James Rineer and Georgiy Bobashev