Paper submissions should be submitted as PDF file and can be up to 10 pages. Accepted papers will be presented as short talk, posters, or both (please specify your preference in the submission form). We are soliciting papers about:

1. Solutions and Case Studies: Data Science solutions to existing social problems  (Examples and Case Studies). They should clearly define the problem, provide solutions and results, and be of use to both practitioners as well as policymakers.
2. Problems: Open Problems in Social Good. We want government and non-profit executives, and policymakers to highlight problems they’re facing where data science can help.
3. Collaboration and Community: How to create successful collaborations between universities and local governments and non-profits in order to solve problems effectively.

We want papers from issue areas including  public health, education, criminal justice, economic development, social services, public safety, and urban issues.

Papers will be reviewed and a decision will be sent back to the authors on a rolling basis.

Training workshops can range from 1-2 hours and should be of interest to one or more of the following audiences:

• Policymakers
• Researchers
• Students
• Practitioners/Analysts/Data Scientists

Training workshop proposals should:

• Define the topic of the workshop
• Explain who the  audience is
• Give a draft agenda of the workshop (links to content and other materials is very helpful)

A Panel Discussion proposal should:

• Describe the topic of the panel
• Propose a moderator and tentative (3-4) panelists