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 Head Working Group Organizers at wg@md4sg.com

Civic Participation Civic Participation

Civic Participation

Organized by Paul Gölz (CMU), Anson Kahng (CMU), and Theia Henderson (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 Matthew Olckers (UNSW Sydney) and Christian Ramirez Romero (USIL)

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

Data Economies Data Economies

Data Economies

Organized by Ali Alkhatib (University of San Francisco) and Charles Cui (Northwestern University)

The data economies and data markets working group aims to better understand the challenges that arise across the data pipeline from creation, ownership, accessibility, and sharing to data analysis and use.

Developing Nations Developing Nations

Developing Nations

Organized by Tejumade Afonja (Saarland)

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.

Discrimination and Equality in Algorithmic Decision-making Discrimination and Equality in Algorithmic Decision-making

Discrimination

Organized by Samuel Galler, Keziah Naggita (TTIC) and Richard Lanas Philips (Cornell)

This group focuses on different research areas, such as understanding the impacts of ranking problems and design of resource allocation mechanisms.

Environment and Climate Environment and Climate

Environment and Climate

Organized by Steven Yin (Columbia) and Cristina Crespo Montanes (UC Berkeley)

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), Chika Okafor (Harvard), 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.

Latin America and Caribbean Latin America and Caribbean

Latin America and Caribbean

Organized by Michelle González Amador (UNU-MERIT), and Juan Felipe Penagos (Fundación Ceiba)

Major themes include: migration (especially the Venezuelan diaspora), crime (with a focus on youth crime), and education (integrating/engaging at risk youth in educational systems).

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

Algorithms, Law, and Policy

Organized Doaa Abu-Elyounes (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