All deadlines are 10:00 pm ET on the day indicated in the same row, unless otherwise specified.
Last updated: Apr 16, 2024
Note: HW2 due date extended to Feb 18, 2024
Note: Project Progress Report I due date extended to Feb 29, 2024
Note: Due dates for HW5, PRA6, and HW6 have been changed to a later date to allow more time to work on those assignments.
| 1 | 1/16 | Introduction, Overview of AI for Social Good, Basics of Optimization | Artificial Intelligence for Social Good: A Survey
Slides: Overview
Slides: Basics of Optimization
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| 2 | 1/18 | Basics of (Integer) Linear Programming
Case Study: AI for Wildlife Corridor Design | Applied Mathematical Programming
Solving Connected Subgraph Problems in Wildlife Conservation
Trade-offs and efficiencies in optimal budget-constrained multispecies corridor networks
Robust Network Design for Multispecies Conservation
Slides: Basics of (Integer) Linear Programming
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| 3 | 1/23 | Basics of (Integer) Linear Programming
Case Study: AI for Wildlife Corridor Design (cont.) | Slides: Case Study: AI for Wildlife Corridor Design
| Confirm group members
HW0 due (1/23 10:00pm) |
| 4 | 1/25 | Basics of Machine Learning
Case Study: AI for Food Rescue | Pattern Recognition and Machine Learning
Improving Efficiency of Volunteer-Based Food Rescue Operations
A Recommender System for Crowdsourcing Food Rescue Platforms
Slides: Basics of Machine Learning
| PRA1 due |
| 5 | 1/30 | Basics of Machine Learning
Case Study: AI for Food Rescue (cont.) | Slides: AI for Food Rescue
| Project proposal due |
| 6 | 2/1 | Basics of Computer Vision
Case Study: Estimate Poverty and Crop Yield from Remote Sensing Data | Slides: Basics of Computer Vision
| HW1 due; Project proposal peer review due |
| 7 | 2/6 | Basics of Computer Vision
Case Study: Estimate Poverty and Crop Yield from Remote Sensing Data (cont.) | Slides: Case Study: Estimate Crop Yield from Remote Sensing Data
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| 8 | 2/8 | Basics of Natural Language Processing
Case Study: AI for Media Monitoring for Wildlife Conservation | Attention Is All You Need
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
NewsPanda: Media Monitoring for Timely Conservation Action
Slides: Basics of Natural Language Processing
| PRA2 due |
| 9 | 2/13 | Basics of Natural Language Processing
Case Study: AI for Media Monitoring for Wildlife Conservation (cont.) | Slides: Case Study: NewsPanda:AI for Conservation-Related Media Monitoring
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| 10 | 2/15 | Basics of Multi-Armed Bandit
Case Study: AI for Maternal and Child Health | Planning and acting in partially observable stochastic domains
Monte-Carlo Planning in Large POMDPs
Bandit-Based Monte-Carlo Planning
Field Study in Deploying Restless Multi-Armed Bandits: Assisting Non-Profits in Improving Maternal & Child Health
Slides: Basics of Multi-Armed Bandit
| HW2 due (due date extended to 2/18 10:00pm) |
| 11 | 2/20 | Guest Lecture by Hong Shen: Ethics of AI | Guest Lecture by Prof. Hong Shen
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| 12 | 2/22 | Basics of Multi-Armed Bandit
Case Study: AI for Maternal and Child Health (cont.) | Slides: Case Study: Assist Non-Profits in Improving Maternal and Child Health
| PRA3 due |
| 13 | 2/27 | Guest Lecture by Zhiyu Chen: Natural Language Processing for Mental Health | Guest Lecture by Zhiyu Chen: Large Language Model for Mental Health
| Project Progress Report I due (changed to 2/29 10:00pm) |
| 14 | 2/29 | Basics of Reinforcement Learning
Case Study: AI for Bike Repositioning | Reinforcement Learning: An Introduction, Ch. 3, 6, 13
Dynamic Bike Reposition: A Spatio-Temporal Reinforcement Learning Approach
Multi-Agent Reinforcement Learning for Order-dispatching via Order-Vehicle Distribution Matching
Slides: Basics of Reinforcement Learning
| HW3 due |
| 15 | 3/12 | Basics of Reinforcement Learning
Case Study: AI for Bike Repositioning (cont.) | Slides: Case Study: RL for Bike Repositioning
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| 16 | 3/14 | Case Study: AI for HIV Prevention Among Homeless Youth | Maximizing the spread of influence through a social network
Submodular Functions: Extensions, Distributions, and Algorithms. A Survey
Information and Influence Propagation in Social Networks
Clinical Trial of an AI-Augmented Intervention for HIV Prevention in Youth Experiencing Homelessness
Using Social Networks to Aid Homeless Shelters: Dynamic Influence Maximization under Uncertainty
Influence Maximization in the Field: The Arduous Journey From Emerging to Deployed Application
Uncharted but not Uninfluenced: Influence Maximization with an Uncertain Network
Slides: Influence Maximization and Case Study on HIV Prevention Among Homeless Youth
| PRA4 due |
| 17 | 3/19 | Guest Lecture by Stephanie Milani: Explainable AI | Slides: Explainable AI for Social Good
| |
| 18 | 3/21 | Basics of Game Theory
Case Study: AI for Infrastructure Security | Multiagent Systems: Algorithmic, Game-Theoretic, and Logical Foundations, Ch. 3-5
Deployed ARMOR Protection: The Application of a Game Theoretic Model for Security at the Los Angeles International Airport
Optimal Patrol Strategy for Protecting Moving Targets with Multiple Mobile Resources
Slides: Basics of Game Theory
| HW4 due |
| 19 | 3/26 | Basics of Game Theory
Case Study: AI for Infrastructure Security (cont.) | | Project Progress Report II due |
| 20 | 3/28 | Guest Lecture by Thanh H. Nguyen: Application of RL in diabetes prevention and application of game theory | | PRA5 due |
| 21 | 4/2 | Security Games
Case Study: AI for Infrastructure Security | Pattern Recognition and Machine Learning, Ch. 8, 9
Keeping pace with criminals: Designing patrol allocation against adaptive opportunistic criminals
Taking it for a Test Drive: A Hybrid Spatio-temporal Model for Wildlife Poaching Prediction Evaluated through a Controlled Field Test
Cloudy with a Chance of Poaching: Adversary Behavior Modeling and Forecasting with Real-World Poaching Data
CAPTURE: A New Predictive Anti-Poaching Tool for Wildlife Protection
Deploying PAWS: Field Optimization of the Protection Assistant for Wildlife Security
Improving Resource Allocation Strategy Against Human Adversaries in Security Games
Predicting human behavior in unrepeated, simultaneous-move games
“A Game of Thrones”: When Human Behavior Models Compete in Repeated Stackelberg Security Games
Robust protection of fisheries with COmPASS
Slides: Case Study: AI for Infrastructure Security
| |
| 22 | 4/4 | Basics of Human Behavior Modeling | Slides: Basics of Human Behavior Modeling
| HW5 due |
| 23 | 4/9 | Case Study: AI for Kidney Exchange | Clearing algorithms for barter exchange markets: Enabling nationwide kidney exchanges
Branch-and-price: Column generation for solving huge integer programs
FutureMatch: Combining Human Value Judgments and Machine Learning to Match in Dynamic Environments [Extended version]
Position-Indexed Formulations for Kidney Exchange [Extended version]
Slides: Case Study: Optimizing Kidney Exchange
| |
| 24 | 4/16 | Common Challenges in AI for Social Good Projects, Discussion Session | Slides: Common Challenges in AI for Social Good Projects
| PRA6 due |
| 25 | 4/18 | Guest Lecture by Ananya Joshi: AI and Pandemic Intervention | | |
| 26 | 4/23 | Guest Lecture by Hoda Heidari & Project Presentation (2 teams) | | |
| 27 | 4/25 | Project Presentation (cont., 8 teams) | | HW6 due |
| 28 | 5/2 | | | Project Report due |