PART I:
Introduction
Introduction: AI for Social Impact
Milind Tambe, Fei Fang, and Bryan Wilder
PART II:
Case Studies
Public Health
Deploying COVID-19 Case Forecasting Models in the Developing World
Sansiddh Jain, Avtansh Tiwari, Nayana Bannur, Ayush Deva, Siddhant Shingi, Vishwa Shah, Mihir Kulkarni, Namrata Deka, Keshav, Ramaswami, Vasudha Khare, Harsh Maheshwari, Soma Dhavala, Jithin, Sreedharan, Jerome White, Srujana Merugu, and Alpan Raval
Reinforcement Learning for Public Health: Targeted COVID-19 screening
Hamsa Batani, Kimon Drakopoulos, and Vishal Gupta
Field Study in Deploying Restless Multi-Armed Bandits: Assisting Non-Profits in Improving Maternal and Child Health
Aditya Mate, Shresth Verma, Gargi Singh, Aparna Taneja and Milind Tambe
AI-Augmented Interventions for HIV Prevention in Youth Experiencing Homelessness
Bryan Wilder, Laura Onasch-Vera, Graham Diguiseppi, Robin Petering, Chyna Hill, Amulya Yadav, Eric Rice, and Milind Tambe
Agriculture / Food Security Public Health
Kudu: An electronic agricultural marketplace in Uganda
Neil Newman, Nicole Immorlica, Kevin Leyton-Brown, Brendan Lucier, John, Quinn, and Richard Ssekibuule
AI for Food Rescue
Zheyuan Ryan Shi, Yiwen Yuan, Kimberly Lo, Ameesh Kapoor, Anthony Levin-Decanini, Sean Hudson, Jake Tepperman, Leah Lizarondo, and Fei Fang
Environment / Conservation
Poaching Risk Prediction and Multimodel Patrol Planning for Anti-Poaching
Weizhe Chen, Weinan Zhang, Duo Liu, Weiping Li, Xiaojun Shi, and Fei Fang
Crisis Management / Disaster Response
The Google Flood Forecasting Initiative: Flood forecasting, crisis management & disaster Response
Sella Nevo
PART III:
General Challenges & Lessons from Other Fields
Applying Classic Concepts of Experimental Design in the Age of Artificial Intelligence
Benton N. Taylor and Andrew B. Davies
Randomized Experiments
Amanda Coston, Mateo Dulce Rubio, and Edward H. Kennedy
User-Centered Design in AI for Social Impact
Herman Saksono
Lessons from ICT and International Development
Kentaro Toyama
More chapters to come...
Appendix
Course Offerings in AI for Social Impact
EDITORS
Milind Tambe
Harvard University
Google Research
Fei Fang
Carnegie Mellon
Bryan Wilder
Carnegie Mellon
AUTHORS
Nayana Bannur
Hamsa Bastani
Sara Beery
Weizhe Chen
Amanda Coston
Andrew B. Davies
Anthony Levin-Decanini
Namrata Deka
Ayush Deva
Soma Dhavala
Graham Diguiseppi
Kimon Drakopoulos
Mateo Dulce Rubio
Fei Fang
Chyna Hill
Sean Hudson
Nicole Immorlica
Sansiddh Jain
Ameesh Kapoor
Edward H. Kennedy
Vasudha Khare
Mihir Kulkarni
Kevin Leyton-Brown
Weiping Li
Duo Liu
Leah Lizarondo
Kimberly Lo
Brendan Lucier
Harsh Maheshwari
Aditya Mate
Srujana Merugu
Sella Nevo
Neil Newman
Laura Onasch-Vera
Robin Petering
John Quinn
Keshav Ramaswami
Alpan Raval
Eric Rice
Herman Saksono
Sebastian Sequoiah-Grayson
Vishwa Shah
Zheyuan Ryan Shi
Xiaojun Shi
Siddhant Shingi
Gargi Singh
Jithin Sreedharan
Richard Ssekibuule
Milind Tambe
Aparna Taneja
Benton N. Taylor
Jake Tepperman
Avtansh Tiwari
Kentaro Toyama
Shresth Verma
Toby Walsh
Jerome White
Bryan Wilder
Amulya Yadav
Yiwen Yuan
Weinan Zhang
Citing the book
To cite this book, please use this bibtex entry:
@book{Tambe-et-al-2022, title={AI for Social Impact}, editor={Milind Tambe and Fei Fang and Bryan Wilder}, note={\url{https://ai4sibook.org/}}, year={2022} }