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

Asia-Pacific Asia-Pacific

Asia-Pacific

Organized by Matthew Olckers (Monash)

The Asia-Pacific group covers a range of topics, with meetings scheduled for participants in these time zones.

Civic Participation Civic Participation

Civic Participation

Organized by Paul Gölz (CMU) and Anson Kahng (CMU)

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

Data Economies Data Economies

Data Economies

Organized by Ali Alkhatib (University of San Francisco) and Lucy Qin (Brown 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) and Chinasa Okolo (Cornell)

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 Faidra Monachou (Stanford), and Jessica Finocchiaro ( University of Colorado - Boulder)

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 Wanyi Li (Stanford) and Lily Xu (Harvard)

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)

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 Francisco Marmolejo (University of Oxford), Michelle González Amador (UNU-MERIT), Mariajose Silva-Vargas (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 Duncan McElfresh (University of Maryland)

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