Fall 2022 Lectures

AI4SI book is available at ai4sibook.org

Date	Topic	Cluster	Readings
8/31	Introduction, class exercise: defining AI4SI in relation to other terms (slides)		AI4SI Part I: Introduction AI for Social Impact: Learning and Planning in the Data-to-Deployment Pipeline
9/7	Public Health: 1. Maternal and Child Health and 2. HIV Prevention (slides) (Lecture video of KDD 2022 keynote covering similar material)	Case studies	Case studies readings: Field Study in Deploying Restless Multi-Armed Bandits: Assisting Non-Profits in Improving Maternal and Child Health AI-Augmented Interventions for HIV Prevention in Youth Experiencing Homelessness Additional background readings (optional): Restless Multi-Armed bandits (RMAB). Although presented on a different domain, this method is used in the maternal and child health case study (reading 1) Social Networks. Recommended to read first 4-5 sections to get further background for reading 2. Do not need to read the rest.
9/12	Case studies presentations: 1. Public Health and 2. Agriculture and Food Security	Case studies	1. Deploying COVID-19 Case Forecasting Models in the Developing World 2. Reinforcement Learning for Public Health: Targeted COVID-19 screening 3. Kudu: An electronic agricultural marketplace in Uganda 4. AI for Food Rescue
9/14	Case studies presentations: 1. Environment and Conservation and 2. Crisis Management and Disaster Response	Case studies	1. Poaching Risk Prediction and Multimodel Patrol Planning for Anti-Poaching 2. The MegaDetector: Large-scale deployment of computer vision for conservation and biodiversity monitoring 3. The Google Flood Forecasting Initiative: Flood forecasting, crisis management & disaster Response
9/19	Part 1: Participatory Approach Towards AI4SG. Invited lecturer: Lily Xu, PhD Student, Harvard University Part 2: Case studies presentations	Case studies	Envisioning Communities: A Participatory Approach Towards AI for Social Good [Harvard access] [arXiv] ADVISER: AI-Driven Vaccination Intervention Optimiser for Increasing Vaccine Uptake in Nigeria Using Machine Learning to Help Vulnerable Tenants in New York City ReforesTree: A Dataset for Estimating Tropical Forest Carbon Stock with Deep Learning and Aerial Imagery A GNN-RNN Approach for Harnessing Geospatial and Temporal Information: Application to Crop Yield Prediction (9/21)
9/21	Prof. Andrew Davies, Assistant Professor of Organismic and Evolutionary Biology, Harvard EOB (slides)	Project ideas
9/26	Quantifying bias in human and machine decisions. Prof. Sharad Goel, Harvard Kennedy School (slides)	Project ideas	A large-scale analysis of racial disparities in police stops across the United States Algorithmic Decision Making and the Cost of Fairness
9/28	Prof. Chris Golden, Assistant Professor of Planetary Health and Nutrition at the Harvard TH Chan School of Public Health (slides)	Project ideas
10/3	Embedded EthiCS by Michael Pope (slides)	Project ideas	AI Fairness Isn’t Just an Ethical Issue Can you make AI fairer than a judge?
10/5	In-class OHs for class project	Project ideas
10/10	No class – Indigenous Peoples' Day
10/12	Public Safety: Stackelberg Security Games and their Applications (slides) (Lecture video IJCAI 2018 keynote covering similar material)	Case studies	Stackelberg Security Games: Looking Beyond a Decade of Success Assessing the Benefits and Costs of Homeland Security Research: A Risk-Informed Methodology with Applications for the U.S. Coast Guard (Available on Canvas) Retrospective Benefit–Cost Analysis of Security-Enhancing and Cost-Saving Technologies (Available on Canvas)
10/17	Self-selected paper presentations	Student presentations	Placement Optimization in Refugee Resettlement Efficient poverty mapping from high resolution remote sensing images Towards Facilitating Empathic Conversations in Online Mental Health Support: A Reinforcement Learning Approach Mitigating Political Bias in Language Models Through Reinforced Calibration Learning Augmented Methods for Matching: Improving Invasive Species Management and Urban Mobility
10/19	Self-selected paper presentations	Student presentations	Prediction of Landfall Intensity, Location, and Time of a Tropical Cyclone FairFoody Why Is My Classifier Discriminatory? BeFair: Addressing Fairness in the Banking Sector Bandit Data-driven Optimization for Crowdsourcing Food Rescue Platforms
10/24	Project progress presentations	Student presentations
10/26	World Wildlife Fund	Case studies
10/31	Harvard Business School case: PAWS	Case studies	https://teamcore.seas.harvard.edu/ai-conservation
11/2	Implementation Science. Shoba Ramanadhan, Assistant Professor of Social and Behavioral Sciences at the Harvard TH Chan School of Public Health (slides)	Methods lectures	EPIS Framework website Implementation science: What is it and why should I care?
11/7	Lessons from ICT and International Development	Methods lectures	AI4SI Part 3: Lessons from ICT and International Development
11/9	Part 1: Causal Inference intro Mateo Dulce Rubio, PhD candidate, Carnegie Mellon University Part 2: RCT Prof. Edward Kennedy, Associate Professor Department of Statistics & Data Science, Carnegie Mellon University	Methods lectures	AI4SI Part 3: Randomized Experiments
11/14	Experimental Design. Benton Taylor Assistant Professor of Organismic and Evolutionary Biology, Harvard University (slides in Canvas Files)	Methods lectures	AI4SI Part 3: Applying Classic Concepts of Experimental Design in the Age of AI
11/16	HCI and AI4SG. Herman Saksono, Assistant Professor, Northeastern University	Methods lectures	AI4SI Part 3: User-centered Design in AI for Social Impact
11/21	Project office hours
11/23	No class – day before Thanksgiving
11/28	Final project presentations
11/30	Final project presentations