17.806 Quantitative Research Methods IV: Advanced Topics
Author: In Song Kim
Lecture Module: “Analyzing the Impact of Police Stopping in Political Behavior”
Keywords: policing, stop-question-and-frisk, racial minorities, political behavior
Module Goals: This problem set explores how/whether policing against citizens and against racial minorities affects political behavior by leveraging a variety of data sources available online, including micro-level administrative data on policing.
MIT Case Studies in Social and Ethical Responsibilities of Computing
Brief, specially commissioned and peer-reviewed cases intended to be effective for undergraduate instruction across a range of classes and fields of study.
Winter 2023
Emotional Attachment to AI Companions and European Law, by Claire Boine (University of Ottowa)
Keywords: AI law, AI companions, human-machine interactions, data privacy, consumer protection
Twitter Gamifies the Conversation, by C. Thi Nguyen (University of Utah), Meica Magnani (Northeastern University), and Susan Kennedy (Santa Clara University)
Keywords: social media, social epistemology, Twitter, gamification, value capture, technology ethics
Summer 2022
Patenting Bias: Algorithmic Race and Ethnicity Classifications, Proprietary Rights, and Public Data, by Tiffany Nichols (Harvard University)
Keywords: racial and ethnic classifications, algorithmic bias, patents, public data
Winter 2022
The Cloud is Material: On the Environmental Impacts of Computation and Data Storage, by Steven Gonzalez Monserrate (MIT)
Keywords: climate change, Anthropocene, data centers, data storage, digital ecology, materiality of computation, sustainable computing
Algorithmic Redistricting and Black Representation in US Elections, by Zachary Schutzman (MIT)
Keywords: redistricting, algorithms, race, politics, elections
Summer 2021
Understanding Potential Sources of Harm throughout the Machine Learning Life Cycle, by Harini Suresh and John Guttag
Keywords: fairness in machine learning, societal implications of machine learning, algorithmic bias, AI ethics
Public Debate on Facial Recognition Technologies in China, by Tristan G. Brown, Alexander Statman, and Celine Sui
Keywords: facial recognition, Chinese law, social media
Protections for Human Subjects in Research: Old Models, New Needs?, by Laura Stark (Vanderbilt University)
Keywords: human-subjects research, informed consent, institutional review boards, big data
