AI FOR SOCIAL IMPACT

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

The MegaDetector: Large-scale deployment of computer vision for conservation and biodiversity monitoring
Sara Beery

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

Additional reading materials

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}
}