2021 AI for Social Good Workshop


Friday, July 30, 2021 (All day)


This workshop is entirely virtual



The Harvard CRCS Workshop on AI for Social Good envisions to bring together researchers and practitioners across different parts of the world. Our aim is to collectively explore how artificial intelligence can contribute to solving social problems. For example, what role can AI play in promoting health, access to opportunity, and sustainable development? How can AI initiatives be deployed in an ethical, inclusive, and accountable manner? The objective is to share the current state of research and practice, explore directions for future work, and create opportunities for collaboration. The workshop will feature a mix of invited talks, contributed talks, and posters. Submissions spanning the full range of theoretical and applied work are encouraged. Topics of interest include, but are not limited to:


  • Public Health 

  • Environmental Sustainability

  • Ethics, Fairness and Discrimination

  • Democracy and Civic Participation


COVID (special track)


In response to the COVID-19 pandemic, AI has an important role to play in providing insight into the course of the epidemic and developing targeted solutions. We encourage submissions from both AI researchers as well as epidemiologists, health policy researchers, and other domain experts who are interested in engaging with the AI community.




This workshop welcomes any participants studying challenges involved in the AI for social good deployment pipeline, including but not limited to (i) identifying challenges within different domains in AI for social good, e.g., data deficiency, bias in data collection process, imbalanced data, counterfactual estimate, implementation science etc., and how to use artificial intelligence to resolve or avoid these issues, (ii) artificial intelligence solutions, including algorithmic game theory, mechanism design, optimization, machine learning, and reinforcement learning, and (iii) real-world deployment of artificial intelligence in various social good applications.




Advisory Committee

•   Joe Halpern (Cornell University)
•   Kevin Leyton-Brown (University of British Columbia)
•   Ece Kamar (Microsoft Research)

Executive Committee

•   Ferdinando Fioretto (Syracuse University)
Kira Goldner (Columbia University)
•   Joppe Geluykens (IBM Research)
Ioana Baldini (IBM Research)


Local Organizing Committee

    Arpita Biswas* (Harvard University)

    Kai Wang* (Harvard University)

•    Bryan Wilder (Harvard University)

•    Andrew Perrault (Harvard University)

    Hila  Bernstein (Harvard University)

    Milind Tamb (Harvard University)



*Any questions about submissions should be emailed to Kai Wang (kaiwang@g.harvard.edu) or Arpita Biswas (arpitabiswas@seas.harvard.edu).