MD4SG

Working Groups

Working Groups


MD4SG working groups bring together academic researchers from various disciplines to tackle problems in real-world application domains through online working groups. These groups work towards research, implementation, and advocacy projects throughout the year. Notes from the original reading group can be found here.


If you are interested in being involved or pitching problems to these working groups in any of the domains below, please contact the Working Group Organizers at wg@md4sg.com

Civic Participation Civic Participation

Civic Participation

Organized by Paul Gölz (CMU) and Manon Revel (MIT)

We study the mathematical theory of civic participation, focusing on novel modes of democratic decision making that complement traditional elections.

Conversations with Practitioners Conversations with Practitioners

Conversations with Practitioners

Organized by Kristen Scott (KU Leuven) and Wendy Xu (HKUST)

We aim to bridge research and practice by hosting informal interviews with practitioners who work with disadvantaged and underserved communities.

Developing Nations Developing Nations

Developing Nations

Organized by Tejumade Afonja (Saarland) and Illenin Kondo (Federal Reserve Bank of Minneapolis)

We are a group of academic researchers working on understanding and tackling issues pertaining to the role and application of technology in addressing challenges in emerging nations or under-resourced settings.

Environment and Climate Environment and Climate

Environment and Climate

Organized by Matthew vonAllmen (Northwestern University) and Andrew Roberts (Boston University)

We study how computational methods can help address environmental challenges, particularly those that exacerbate the climate crisis.

Inequality Inequality

Inequality

Organized by Sam Taggart (Oberlin) and Sera Linardi (University of Pittsburg)

We study how computational methods can either address or exacerbate inequality, both globally and for vulnerable populations in the United States.

Algorithms, Law, and Policy Algorithms, Law, and Policy

Algorithms, Law, and Policy

Organized Ayse Gizem Yasar (Harvard, Sciences Po) and Fernando Delgado (Cornell)

Some of the topics the group will work on include but are not limited to free speech, content moderation, antitrust, the use of “black box” machine learning models, data-driven algorithms, and decision-support tools.

Photos by Duangphorn Wiriya ; rawfilm; and rawpixel on Unsplash