Program Schedule

EAAMO 2021 will be organized as a virtual-only conference. Details of the virtual conference format are described below. To determine this format, we have been inspired by good practices and experiences in many other conferences. Our guiding principles are:

  • The interactive nature of a conference is to be preserved as much as possible.
  • We foster sharing of ideas and encourage cooperation between researchers and practitioners.
  • Sessions are kept sufficiently short to avoid fatigue and concentration loss, with frequent (small) breaks.
  • Parallel sessions are avoided.
  • The live meetings and social events are aimed to be engaging, dynamic, and as interactive as possible.

EAAMO ‘21 will use Zoom meetings for keynote talks, panel discussions, and live sessions, and Gather.town for all other activities.

Conference Program

The inaugural EAAMO ‘21 will take place on October 5-9, 2021, virtually, on Zoom and Gather.town, with the following program.

Please note that this is a preliminary conference program and that slight alterations are possible. Note that ET stands for current “New York, USA” time. Please find Google Calendar below the conference program. Feel free to subscribe to the calendar.

October 4 (Monday)

#TimeEvent 

The day before the conference officially kicks offs, we will host a networking session between researchers and practitioners.

A diverse group of practitioners will be present at the networking session, including:

  • Greg Bybee, co-founder and CEO of Avela Education.
  • Julia Chen, Assistant Fiction Editor for The Offing and leads communications for the City of San José’s data equity project.
  • Gülşen Güler, data literacy consultant with a background in social work.
  • Gina Helfrich, Program Officer for Global Technology at Internews, a nonprofit supporting independent media in 100 countries.
  • Christine Keung, Chief Data Officer for the City of San Jose.
  • Caitlin Kraft-Buchman, CEO and founder of Women at the Table.
  • Anastasia Miliano, Head of Client Success and Services at Avela.
  • Catherine Muñoz, director and founder of the Chilean NGO Optia, the first Observatory for Algorithmic and Transparency and Inclusion in Latin America.
  • Ramya Ravichandran, a mission-driven consultant, data scientist, and policy professional focused on cross-sector collaboration to build a more equitable world.
  • Robert Upton, Data Analyst and Algorithm Engineer at Avela.
  • Ben Winters, EPIC Counsel and leads EPIC’s AI and Human Rights Project.

October 5 (Tuesday)

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Mary L. Gray is Senior Principal Researcher at Microsoft Research and Faculty Associate at Harvard University’s Berkman Klein Center for Internet and Society. She maintains a faculty position in the Luddy School of Informatics, Computing, and Engineering with affiliations in Anthropology and Gender Studies at Indiana University. Mary, an anthropologist and media scholar by training, focuses on how people’s everyday uses of technologies transform labor, identity, and human rights. She sits on several boards, including Public Responsibility in Medicine and Research and the California Governor’s Council of Economic Advisors, in addition to chairing the Microsoft Research Ethics Review Program—the only federally-registered institutional review board of its kind in the tech industry. In 2020, Mary was named a MacArthur Fellow for her contributions to anthropology and the study of technology, digital economies, and society.

Title: More than Fair: How to Bring Communities, Computer Science, and the Social Sciences Together to Build for Social Justice

Abstract: Data and technological innovations are meant to make life easier—to help us optimize the speed of decision-making and create efficiencies that amplify our impact. In the world of community health, this impact can mean life or death. And, as the pandemic has shown us, technologies built without engaging communities or narrowly focused on what those in power want generates more work and inequity in the process. Drawing on principles eloquently articulated in 2020 by scholar Sasha Costanza-Chock in Design Justice, this talk will share research insights from a 6-month study of community-based organizations (CBOs) in North Carolina serving marginalized Black and Latinx communities across the State. This coalition of CBOs operates as a grassroots extension of public health and have become pivotal conduits for COVID-19 health information and education, access to food, shelter, and equitable vaccine access. This keynote will discuss the promises and challenges of bringing industry engineers, social scientists, and this CBO coalition to the table to develop open-source software to CBO needs with justice, rather than efficiency, as the North Star. The talk will open with considering how unexamined investments in measuring bias and fairness in training data or computing systems distract us from what difference it might make to collect data and develop tech with rather than for communities. The talk then shares the research team’s methodologies and frameworks for balancing the demands of collecting community members’ health data with efforts to create a new mechanism for CBOs to cost share serving as community data trusts. While one aspect of the study was to understand what a better electronic intake form might look like for CBOs that, typically, lack the resources to buy—let alone build and maintain—sophisticated software or data management systems, the larger focus of the research is to explore what it means to truly build with, rather than for, community groups and societal resilience more broadly. Specifically, what does it mean to focus deeply on social interactions that are computationally hard to see or measure but qualitatively invaluable and necessary to advance social justice? The talk will conclude with recommendations for how to reorient computer science to a more explicit theory and practice of power-sharing.

Dirk Bergemann is the Douglass and Marion Campbell Professor of Economics at Yale University. He has secondary appointments as Professor of Computer Science in the School of Engineering and Professor of Finance in the School of Management. He received his Ph.D. in Economics from the University of Pennsylvania in 1994. He joined Yale in 1995 as an assistant professor, having previously served as a faculty member at Princeton University. He has been affiliated with the Cowles Foundation for Research in Economics at Yale since 1996 and a fellow of the Econometric Society since 2007. Dirk Bergemann was Chair of the Department of Economics from 2013-2019 and Co-Editor of Econometrica from 2014-2018. He was recently appointed as Co-Editor of American Economic Review: Insights, 2020- and is a Member of the Executive Committee of the Econometric Society 2021. His research is in the area of game theory, contract theory, venture capital and market design. His most recent work is in the area of dynamic mechanism design and dynamic pricing, robust mechanism design, and information design. His research has been supported by grants from the National Science Foundation, the Alfred P. Sloan Research Fellowship, Google Faculty Fellow, the Knight Foundation, the Omidyar Network and the German National Science Foundation.

Mary L. Gray is Senior Principal Researcher at Microsoft Research and Faculty Associate at Harvard University’s Berkman Klein Center for Internet and Society. She maintains a faculty position in the Luddy School of Informatics, Computing, and Engineering with affiliations in Anthropology and Gender Studies at Indiana University. Mary, an anthropologist and media scholar by training, focuses on how people’s everyday uses of technologies transform labor, identity, and human rights. She sits on several boards, including Public Responsibility in Medicine and Research and the California Governor’s Council of Economic Advisors, in addition to chairing the Microsoft Research Ethics Review Program—the only federally-registered institutional review board of its kind in the tech industry. In 2020, Mary was named a MacArthur Fellow for her contributions to anthropology and the study of technology, digital economies, and society.

Enjoy the short break. Use Gather.town for discussion and meet new people!

This session will be held in Spanish and translated into English.

We will host the following speakers for a panel discussion:

  • Juan Manuel Arribas Berendsohn
  • Rocio Maciel
  • Nancy Rumaldo

Use Gather.town's Social Lounge for discussion and meet new people!

Dirk Bergemann is the Douglass and Marion Campbell Professor of Economics at Yale University. He has secondary appointments as Professor of Computer Science in the School of Engineering and Professor of Finance in the School of Management. He received his Ph.D. in Economics from the University of Pennsylvania in 1994. He joined Yale in 1995 as an assistant professor, having previously served as a faculty member at Princeton University. He has been affiliated with the Cowles Foundation for Research in Economics at Yale since 1996 and a fellow of the Econometric Society since 2007. Dirk Bergemann was Chair of the Department of Economics from 2013-2019 and Co-Editor of Econometrica from 2014-2018. He was recently appointed as Co-Editor of American Economic Review: Insights, 2020- and is a Member of the Executive Committee of the Econometric Society 2021. His research is in the area of game theory, contract theory, venture capital and market design. His most recent work is in the area of dynamic mechanism design and dynamic pricing, robust mechanism design, and information design. His research has been supported by grants from the National Science Foundation, the Alfred P. Sloan Research Fellowship, Google Faculty Fellow, the Knight Foundation, the Omidyar Network and the German National Science Foundation.

Title: Data for Service.

Abstract: Digital platforms commonly neither buy nor sell information direction, but rather indirectly. Namely, the trade in individual and social data is bundled with goods and services. For example, a search engine sells information about the searcher together with a query via sponsored search auction. A social network matches advertisers and individual consumers with certain characteristics. As a consequence, digital platforms typically do not compensate individual consumers directly for their information, but rather provide services whose benefits are naturally increasing in the amounts of information they generate. We investigate to what extent the barter of information for service leads to efficient and fair trade in online data markets.

TimePaper
14:30 - 14:46 (ET)Facing an Adult Problem: New Datasets for Fair Machine Learning (F. Ding, M. Hardt, J. Miller and L. Schmidt)
14:46 - 15:02 (ET)Measuring Data Collection Diligence for Community Healthcare (R. Karunasena, M. S. Ambiya, A. Sinha, R. Nagar, S. Dalal, D. Thakkar, D. Narayanan and M. Tambe)
15:02 - 15:13 (ET)Open Data Standard and Analysis Framework: Towards Response Equity in Local Governments (J. Hsu, R. Ravichandran, E. Zhang and C. Keung)

Enjoy the short break. Use Gather.town for discussion and meet new people!

TimePaper
15:30 - 15:46 (ET)Prosecutor Politics: The Impact of Election Cycles on Criminal Sentencing in the Era of Rising Incarceration (C. Okafor)
15:46 - 16:02 (ET)Breaking Taboos in Fair Machine Learning: An Experimental Study (J. Nyarko, S. Goel and R. Sommers)
16:02 - 16:13 (ET)Proportional Apportionment: A Case Study From the Chilean Constitutional Convention (J. Cembrano, J. Correa, G. Diaz and V. Verdugo)
TimePaper
16:15 - 16:31 (ET)Redistributive Allocation Mechanisms (M. Akbarpour, P. Dworczak and S. Kominers)
16:31 - 16:47 (ET)Algorithm is Experiment: Machine Learning, Market Design, and Policy Eligibility Rules (Y. Narita and K. Yata)
16:47 - 17:03 (ET)(Machine) Learning what Policymakers Value (D. Bjorkegren, J. Blumenstock and S. Knight)
17:03 - 17:14 (ET)Disaggregated Interventions to Reduce Inequality (L. Bynum, J. Loftus and J. Stoyanovich)

Use Gather.town's Social Lounge for discussion and meet new people!


Table 1 & 2 - Latin America/Caribbean

Table 3 & 4 - North America


Use other tables for discussion on various subjects!

October 6 (Wednesday)

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Krishna Gummadi is a scientific director at the Max Planck Institute for Software Systems (MPI-SWS) and a professor at the University of Saarland in Germany. Krishna's research interests are in the measurement, analysis, design, and evaluation of complex Internet-scale systems, particularly social computing systems. His work on fair machine learning, online social networks and media, Internet access networks, and peer-to-peer systems has been widely cited and his papers have received numerous awards, including Test of Time Awards at ACM SIGCOMM and AAAI ICWSM, Casper Bowden Privacy Enhancing Technologies (PET) and CNIL-INRIA Privacy Runners-Up Awards, IW3C2 WWW Best Paper Honorable Mention, and Best Papers at NIPS ML & Law Symposium, ACM COSN, ACM/Usenix SOUPS, AAAI ICWSM, Usenix OSDI, ACM SIGCOMM IMC, ACM SIGCOMM CCR, and SPIE MMCN. He received an ERC Advanced Grant in 2017 to investigate "Foundations for Fair Social Computing."

Title: Fairness in Multisided / Multistakeholder Online Platforms

Abstract: Algorithmic (data-driven) nudges are increasingly being used to help human decision makers on a variety of match-/market- making platforms from gig-economy and e-commerce platforms to online conferencing and charity platforms. A defining feature of these platforms is that they are multisided, i.e., the algorithms mediate interactions between multiple sets of stakeholders. Many existing notions of individual and group fairness in algorithmic fairness literature have largely been inspired by predictive risk assessment contexts (e.g., credit or recidivism risk assessments) that are often single sided. As such, these notions are insufficient to address difficult fairness considerations that arise when the mediating algorithm can trade-off beneficial outcomes for one side with those of the other side(s). In this talk, I will discuss the challenges we faced in our attempts to define and operationalize fairness notions in the context of a ride-sharing platform, an e-commerce platform and an online donations platform.

Ashish Goel is a Professor of Management Science and Engineering and (by courtesy) Computer Science at Stanford University. He received his PhD in Computer Science from Stanford in 1999, and was an Assistant Professor of Computer Science at the University of Southern California from 1999 to 2002. His research interests lie in the design, analysis, and applications of algorithms; current application areas of interest include social networks, participatory democracy, Internet commerce, and large scale data processing. He has received an Alfred P. Sloan faculty fellowship (2004-06) and a Rajeev Motwani mentorship award (2010). He was a co-author on the paper that won the best paper award at WWW 2009, an Edelman Laureate in 2014, and a co-winner of the SigEcom Test of Time Award in 2018. Professor Goel was a research fellow and technical advisor at Twitter, Inc. from July 2009 to Aug 2014.

Title: Fairness in Social Choice and Public Resource Allocation

Abstract: Fairness has been an important criterion in social choice since its inception, both as an epistemic concept (i.e. fairness in terms of the outcome), and in terms of participants having an equitable voice. We will describe a practical deployment that brings issues of equitable voice to the fore, and then present a stylized approach for fair outcomes in public decision making. On the practical side, we discuss a feedback process we ran on behalf of the city of Austin in the spring of 2020. The George Floyd protests happened in the middle of the process, resulting in a dramatic increase in public interest in the feedback process, and a shift in the nature of the feedback. The stylized theoretical result involves achieving fair outcomes in public decision making via reduction to a public goods market. We claim that bridging the gap between the normative issues that we discuss and the kind of stylized models we can analyze is one of the most important problems in social choice. This represents joint work with Yiling Chen, Nikhil Garg, Lodewijk Gelauff, and Benjamin Plaut.

TimePaper
12:15 - 12:31 (ET)The Stereotyping Problem in Collaboratively Filtered Recommender Systems (W. Guo, K. Krauth, M. Jordan and N. Garg)
12:31 - 12:47 (ET)Algorithmic Auditing for Social Justice (B. Vecchione, K. Levy and S. Barocas)
12:47 - 13:03 (ET)Project 412Connect: Bridging Students to Communities (A. DiChristofano, M. L. Hamilton, S. Linardi and M. F. McCloud)
13:03 - 13:19 (ET)Unpacking the Black Box: Regulating Algorithmic Decision-Making with Ex-Post Audits (L. Blattner, S. Nelson and J. Spiess)

Use Gather.town for discussion and meet new people!


Go to the Social Lounge and discuss about the following topics:

Table 1 - Algorithmic Fairness

Table 2 - Algorithms, Law, and Policy

Table 3 - Civic Participation

Table 4 - Data Economies

Table 5 - Development

Table 6 - Education

Table 7 - Enviroment

Table 8 - Healthcare


Use other tables for discussion on various subjects!

Michal Feldman is the Computation and Economics Professor of Computer Science in the Blavatnik School of Computer Science at Tel Aviv University and a visiting scholar at Microsoft Research (MSR) Herzliya. Her research spans computer science, economics, game theory and operations research. She received her Ph.D. from the University of California at Berkeley in 2005. She held a visiting position at Harvard University and Microsoft Research New England (2011-13). She is an Associate Editor in Games and Economic Behavior, Mathematics of Operations Research, ACM Transactions on Economics and Computation, and Journal of Computer and System Sciences. She served as Vice Chair of ACM SIGecom, and PC chair of ACM EC 2015. She is an alumna of the Global Young Academy of Sciences, and the Israeli Young Academy of Sciences (and its management committee). She is the recipient of two ERC grants of the European Research Council, Marie Curie IOF, Alon, ISF and Amazon Research Award. She was listed in Forbes' list of the 50 most influential women in Israel (2016), and in the The Marker's list 40 under 40 (2014).

Ashish Goel is a Professor of Management Science and Engineering and (by courtesy) Computer Science at Stanford University. He received his PhD in Computer Science from Stanford in 1999, and was an Assistant Professor of Computer Science at the University of Southern California from 1999 to 2002. His research interests lie in the design, analysis, and applications of algorithms; current application areas of interest include social networks, participatory democracy, Internet commerce, and large scale data processing. He has received an Alfred P. Sloan faculty fellowship (2004-06) and a Rajeev Motwani mentorship award (2010). He was a co-author on the paper that won the best paper award at WWW 2009, an Edelman Laureate in 2014, and a co-winner of the SigEcom Test of Time Award in 2018. Professor Goel was a research fellow and technical advisor at Twitter, Inc. from July 2009 to Aug 2014.

Krishna Gummadi is a scientific director at the Max Planck Institute for Software Systems (MPI-SWS) and a professor at the University of Saarland in Germany. Krishna's research interests are in the measurement, analysis, design, and evaluation of complex Internet-scale systems, particularly social computing systems. His work on fair machine learning, online social networks and media, Internet access networks, and peer-to-peer systems has been widely cited and his papers have received numerous awards, including Test of Time Awards at ACM SIGCOMM and AAAI ICWSM, Casper Bowden Privacy Enhancing Technologies (PET) and CNIL-INRIA Privacy Runners-Up Awards, IW3C2 WWW Best Paper Honorable Mention, and Best Papers at NIPS ML & Law Symposium, ACM COSN, ACM/Usenix SOUPS, AAAI ICWSM, Usenix OSDI, ACM SIGCOMM IMC, ACM SIGCOMM CCR, and SPIE MMCN. He received an ERC Advanced Grant in 2017 to investigate "Foundations for Fair Social Computing."

TimePaper
14:30 - 14:46 (ET)Adaptive Combinatorial Allocation (M. Kasy and A. Teytelboym)
14:46 - 15:02 (ET)On Symmetries and Fairness in Multi-Dimensional Mechanism Design (M. Essaidi and S. M. Weinberg)
15:02 - 15:13 (ET)Improving Policy-Constrained Kidney Exchange via Pre-Screening (D. McElfresh, M. Curry, T. Sandholm and J. P. Dickerson)

Enjoy the short break. Use Gather.town for discussion and meet new people!

TimePaper
15:30 - 15:46 (ET)When Efficiency meets Equity in Congestion Pricing and Revenue Refunding Schemes (D. Jalota, K. Solovey, K. Gopalakrishnan, S. Zoepf, H. Balakrishnan and M. Pavone)
15:46 - 16:02 (ET)Who Benefits from Faster Public Transit? (P. Akbar)
16:02 - 16:13 (ET)A public transit network optimization model for equitable access to social services (A. Rumpf and H. Kaul)

Use Gather.town to browse the posters and discuss it with authors

October 7 (Thursday)

#TimeEvent 

Dr. Radhika Khosla is Associate Professor at the Smith School of Enterprise and Environment and Research Director of the Oxford India Centre for Sustainable Development at the University of Oxford. She works on examining the productive tensions between urban transitions, energy services consumption, and climate change, with a focus on developing country cities. Radhika is also the Principal Investigator of the Oxford Martin School's interdisciplinary and multi-country program on the Future of Cooling, and co-investigator for the Oxford Net Zero program. She is a contributing author to the sixth assessment report of the Intergovernmental Panel on Climate Change (IPCC) and lead author of the UNEP Emissions Gap Report. She is a member of the UK Government’s UK-India Advisory Committee and serves on boards of journals, advancing interdisciplinary understanding of how cities in transition manage the tensions of meeting growing energy needs for development while protecting the local and global environment. Previously, she has been at the Massachusetts Institute of Technology, a Fellow at the Centre for Policy Research in New Delhi, and Staff Scientist at the Natural Resources Defense Council in New York. Radhika holds a Ph.D in the Geophysical Sciences from the University of Chicago and undergraduate and Master's degrees in Physics from the University of Oxford.

Title: Sustainability Transitions in a Changing Climate

Dr. Radhika Khosla is Associate Professor at the Smith School of Enterprise and Environment and Research Director of the Oxford India Centre for Sustainable Development at the University of Oxford. She works on examining the productive tensions between urban transitions, energy services consumption, and climate change, with a focus on developing country cities. Radhika is also the Principal Investigator of the Oxford Martin School's interdisciplinary and multi-country program on the Future of Cooling, and co-investigator for the Oxford Net Zero program. She is a contributing author to the sixth assessment report of the Intergovernmental Panel on Climate Change (IPCC) and lead author of the UNEP Emissions Gap Report. She is a member of the UK Government’s UK-India Advisory Committee and serves on boards of journals, advancing interdisciplinary understanding of how cities in transition manage the tensions of meeting growing energy needs for development while protecting the local and global environment. Previously, she has been at the Massachusetts Institute of Technology, a Fellow at the Centre for Policy Research in New Delhi, and Staff Scientist at the Natural Resources Defense Council in New York. Radhika holds a Ph.D in the Geophysical Sciences from the University of Chicago and undergraduate and Master's degrees in Physics from the University of Oxford.

Araba Sey is a Principal Researcher with Research ICT Africa, and a Senior Research Scientist at the University of Washington Information School. She has managed international research projects on the impacts of computer and internet access in a variety of contexts including studies of social and economic impacts of public access computing; technology entrepreneurship and livelihood sustainability; coding bootcamp models; gender digital equality; gender and tech hubs in Africa; and participatory methodologies for gender data collection in Africa and Latin America.

Enjoy the short break. Use Gather.town for discussion and meet new people!

By the end of 2020, more than 80 million people worldwide were forcibly displaced. In this panel discussion, we hear from diverse group of practitioners who have experience working with refugees and asylees.

Our panel includes:

  • Yeukai Chideya, a social worker with eight years experience at the Trauma Centre for Survivors of Violence and Torture in Cape Town, South Africa. Many of the clients of the Trauma Centre are refugees.
  • Richard Thickpenny, who leads strategic innovation at ACH Refugee Integration, working with resettled refugees and migrants mainly in the west of England.
  • Paulina Vera, a lawyer who provides legal representation to asylum-seekers and respondents facing deportation in Immigration Court. She previously served as the only Immigration Staff Attorney at the Maryland-based non-profit, CASA.
  • Alicia Wrenn, who leads the U.S. portfolio of programs for refugees and asylees at HIAS, an NGO which has provided assistance to refugees for over 100 years.

The aim of the panel discussion is to gain insight into the panelists' work, their careers in the civic sector, the main challenges they face, and how to bridge the gap between research and practice. We will get insight on common misconceptions about refugees and asylees, what the panelists think researchers could learn from their experience, and what changes the panel think could most improve the lives of refugees and asylees.

Use Gather.town for discussion and meet new people!


Go to the Social Lounge and discuss about the following topics:

Table 1 - Algorithmic Fairness

Table 2 - Algorithms, Law, and Policy

Table 3 - Civic Participation

Table 4 - Data Economies

Table 5 - Development

Table 6 - Education

Table 7 - Enviroment

Table 8 - Healthcare


Use other tables for discussion on various subjects!

TimePaper
14:30 - 14:46 (ET)Mitigating Racial Biases in Toxic Language Detection with an Equity-Based Ensemble Framework (M. Halevy, C. Harris, A. Bruckman, D. Yang and A. Howard)
14:46 - 15:02 (ET)Advancing social justice through linguistic justice: Strategies for building equity fluent NLP technology (G. M. Smith, J. Nee, A. Sheares and I. Rustagi)
15:02 - 15:13 (ET)WordBias: An Interactive Visual Tool for Discovering Intersectional Biases Encoded in Word Embeddings (B. Ghai, M. N. Hoque and K. Mueller)

Enjoy the short break. Use Gather.town for discussion and meet new people!

TimePaper
15:30 - 15:46 (ET)Reverse Cross Subsidization in Healthcare Capitation Programs: Evidence from Medicare Advantage (Z. She, T. Ayer, B. Gokpinar and D. Hughes)
15:46 - 16:02 (ET)Fair Exploration via Axiomatic Bargaining (J. Baek and V. Farias)
16:02 - 16:18 (ET)Can Shared Service Delivery Increase Customer Engagement? A Study of Shared Medical Appointments (N. Sonmez, K. Ramdas and R. W. Buell)
TimePaper
16:18 - 16:34 (ET)Fair Dynamic Rationing (V. Manshadi, R. Niazadeh and S. Rodilitz)
16:34 - 16:50 (ET)Health Sentinel: A mobile crowdsourcing platform for self-reported surveys provides early detection of COVID-19 clusters in San Luis Potosí, Mexico (S. Ruiz-Correa, R. López-Revilla, F. Díaz-Barriga, F. R. Marmolejo Cossio, V. C. Robledo-Valero, E. E. Hernández-Huérfano, L. Álvarez-Rivera, M. L. Rangel-Martínez, M. A. Lutzow-Steiner, L. A. Ortiz-Vázquez, A. R. Mendoza-Lara, M. Olivo-Rodríguez, M. S. Galván-Ramírez, A. E. Morales-Neri, V. U. Martínez-Donjuan, M. I. Cervantes-Irurzo, A. Comas-García, F. Hernández-Maldonado and C. Aguilar-Acosta)
16:50 - 17:06 (ET)Optimal Testing and Containment Strategies for Universities in Mexico amid COVID-19 (E. Lock, F. J. Marmolejo Cossio, J. Jonnerby, N. Rajgopal, H. A. Guzmán Gutiérrez, L. A. Benavides Vázquez, J. R. Tello Ayala and P. Lazos)
17:06 - 17:17 (ET)An Economic Framework for Vaccine Prioritization (M. Akbarpour, E. Budish, P. Dworczak and S. Kominers)

October 8 (Friday)

#TimeEvent 

Sociologist and educator, Dr. Sylvia Ortega Salazar served as Vice minister for Upper High School and VET of México. She has been Rector of the Metropolitan Autonomous University-Azcapotzalco; General Director of International Cooperation at the National Council for Science and Technology (CONACyT), Vice minister of Basic Education in Mexico City, Rector of the National Pedagogical University and General Director of the Colegio de Bachilleres, a network of public upper high schools. She was the first woman Rector of a public University in Mexico and has received numerous recognitions for academic achievement, public service and contributions to international education. Widely published, her lines of research include educational policy design and practice; teacher training and professional development; theories of educational change; dual models of education and employability. She currently serves as principal consultant to the Colegio Nacional de Educación Profesional Técnica (CONALEP). As of January 2021, she was elected President of the National Advisory Council in Education. Dr. Ortega obtained a BA degree in Sociology at the National Autonomous University of Mexico, an MSc from the University of Wisconsin and a Ph.D. at the University of Texas. She resides in Mexico City.

Title: New Approaches to Public Policy Design in Education: The Thrust towards Inclusion, Quality and Justice in Mexico

Abstract: A Century ago, the emerging post-revolutionary Mexican State founded the Ministry of Public Education, an essential component of a national project centered on integrating a dispersed, diverse and illiterate population. Since, the Mexican System of Education, increasingly large and complex, has purported to provide access to all. Critical assessments have clearly shown that a thorough shift in educational policy making and implementation is needed if social justice is to be advanced. In this presentation, we argue that the recently redefined goals and objectives of public education provide an adequate framework to reinvent the system, redesign policy and, more importantly, create flexible and effective processes of implementation of interventions characterized by their sensitivity to diversity, spatial and social contexts as well as communities´ and individuals’ aspirations.

Use Gather.town to browse the posters and discuss it with authors

TimePaper
12:30 - 12:46 (ET)Increasing the Demand for Workers with a Criminal Record (Z. Cullen, M. Hoffman and W. Dobbie)
12:46 - 13:02 (ET)A Market Design Solution to the Unequal Distribution of Teachers in Schools (U. Dur, J. Combe, C. Terrrier, O. Terciux and U. Unver)
13:02 - 13:18 (ET)Affirmative Action, Mismatch, and Economic Mobility after California’s Proposition 209 (Z. Bleemer)

Use Gather.town for discussion and meet new people!


Go to the Social Lounge and discuss in:

Tables 1 & 2 - Español (Spanish)

Tables 3 & 4 - Français (French)


Use other tables for discussion on various subjects!

Avinatan Hassidim is a professor of computer Science at Bar Ilan University, and a director in Google research where he leads the Israel research group. His main research interest is market design, and specifically matching markets. In addition to do theoretical work, Avinatan designed the Israeli medical interns lottery, the Israeli Psychology Match and the Israeli Lawyers' match. Avinatan's group at Google did projects from Flood Forecasting (system protects 200M people in India and Bangladesh), Looking to Listen, Google Duplex and Euphonia. Avinatan's work has won numerous awards, including Editor's choice PRL 2010, Best paper award SIGMETRICS 2011, and Runner Up for Best Paper INFOCOM 2012&2013.

Title: Need vs. Merit: The Large Core of College Admissions Markets

Abstract: We study college admissions markets, where colleges offer multiple funding levels. Colleges wish to recruit the best-qualified students subject to budget and capacity constraints. Student-proposing deferred acceptance is stable and strategy-proof for students, but the set of stable allocations is large and the scope for manipulation by colleges is substantial, even in large markets. Under deferred acceptance, truthful colleges allocate funding based on merit. Successful manipulations consider applicants' outside options (specifically need) when allocating funding. In Hungary, where the centralized clearinghouse uses deferred acceptance, choosing another stable allocation would increase the number of admitted students by at least 3%.

Eric Chan empirically studies the effects of education, labor, and housing policy on family and individual outcomes. He is interested in using experimental and quasi-experimental methods to provide causal evidence that is relevant for policy and practice. Further, he wishes to extend the machine learning research on categorical measurements of images and texts to further policy research. Eric received his MA, MPhil, and PhD from Teachers College, Columbia University and his BS from Babson College.

Avinatan Hassidim is a professor of computer Science at Bar Ilan University, and a director in Google research where he leads the Israel research group. His main research interest is market design, and specifically matching markets. In addition to do theoretical work, Avinatan designed the Israeli medical interns lottery, the Israeli Psychology Match and the Israeli Lawyers' match. Avinatan's group at Google did projects from Flood Forecasting (system protects 200M people in India and Bangladesh), Looking to Listen, Google Duplex and Euphonia. Avinatan's work has won numerous awards, including Editor's choice PRL 2010, Best paper award SIGMETRICS 2011, and Runner Up for Best Paper INFOCOM 2012&2013.

Sociologist and educator, Dr. Sylvia Ortega Salazar served as Vice minister for Upper High School and VET of México. She has been Rector of the Metropolitan Autonomous University-Azcapotzalco; General Director of International Cooperation at the National Council for Science and Technology (CONACyT), Vice minister of Basic Education in Mexico City, Rector of the National Pedagogical University and General Director of the Colegio de Bachilleres, a network of public upper high schools. She was the first woman Rector of a public University in Mexico and has received numerous recognitions for academic achievement, public service and contributions to international education. Widely published, her lines of research include educational policy design and practice; teacher training and professional development; theories of educational change; dual models of education and employability. She currently serves as principal consultant to the Colegio Nacional de Educación Profesional Técnica (CONALEP). As of January 2021, she was elected President of the National Advisory Council in Education. Dr. Ortega obtained a BA degree in Sociology at the National Autonomous University of Mexico, an MSc from the University of Wisconsin and a Ph.D. at the University of Texas. She resides in Mexico City.

Enjoy the short break. Use Gather.town for discussion and meet new people!

TimePaper
15:15 - 15:31 (ET)An Algorithmic Framework for Positive Action (O. Thomas, M. Zilka, A. Weller and N. Quadrianto)
15:31 - 15:47 (ET)Dynamic College Admissions and the Determinants of Students’ College Retention (T. Larroucau and I. Rios)
15:47 - 16:03 (ET)Dropping Standardized Testing for Admissions Trades Off Information and Access (N. Garg, H. Li and F. Monachou)
16:03 - 16:19 (ET)Test-optional Policies: Overcoming Strategic Behavior and Informational Gaps (Z. Liu and N. Garg)
TimePaper
16:19 - 16:35 (ET)Catchment Areas, Stratification and Access to Better Schools (C. Calsamiglia and A. Miralles)
16:35 - 16:51 (ET)School Choice with Consent: An Experiment (C. Cerrone, Y. Hermstrüwer and O. Kesten)
16:51 - 17:02 (ET)School Choice and Housing Market (A. Grigoryan)

October 9 (Saturday)

#TimeEvent 

A Detroit native, Trooper has more than 20 years of experience working at the crossroads of business, government, and the nonprofit sector. He currently serves as Chief Executive Officer at Benefits Data Trust, a national nonprofit that helps people live healthier, more independent lives by creating smarter ways to access essential benefits and services. Prior to joining BDT, Trooper was a social impact and policy advisor to financial technology startups, business leaders, and philanthropic initiatives. At the Clinton Foundation, Trooper helped create the Alliance for a Healthier Generation, a joint venture with the American Heart Association to reduce obesity in the U.S. Trooper also held White House policy staff positions during two separate administrations. He most recently served as a Rockefeller Foundation Fellow, carrying out a project to identify opportunities to ensure that artificial intelligence improves social and economic equity. Trooper is a graduate of the University of Michigan and holds a Master of Science degree from the London School of Economics and a Master of Laws from the University of London.

Title: Fusing code and prose: blending and balancing the quantitative and qualitative in advancing equity

Abstract: More than $60 billion in assistance for Americans to buy food, access health care, and meet other essential needs go untapped each year. Benefits Data Trust is an interdisciplinary nonprofit bringing quantitative and qualitative expertise to helping people apply for benefits, supporting improvements in government’s delivery of benefits services, and maximizing the role of benefits in advancing better health outcomes, greater economic security, and racial equity. Lessons from and questions facing BDT as it builds a high performing and integrated interdisciplinary team will be offered as part of encouraging those skilled at working in code to advance equity by building bridges and shared purpose with those who work in prose.

Enjoy the short break. Use Gather.town for discussion and meet new people!

TimePaper
11:45 - 12:01 (ET)How to De-reserve Reserves (O. Aygun and B. Turhan)
12:01 - 12:17 (ET)Exclusion of Extreme Jurors and Minority Representation:The Effect of Jury Selection Procedures (A. Moro and M. V. Linden)
12:17 - 12:29 (ET)Preserving Diversity when Partitioning: A Geometric Approach (S. Perez, A. Torrico and V. Verdugo)

Enjoy the short break. Use Gather.town for discussion and meet new people!

TimePaper
12:45 - 13:01 (ET)A Framework of Potential Sources of Harm Throughout the Machine Learning Life Cycle (H. Suresh and J. Guttag)
13:01 - 13:17 (ET)Algorithmic Reparation (J. L. Davis, A. Williams and M. Yang)
13:17 - 13:33 (ET)Opportunities for a More Interdisciplinary Approach to Perceptions of Fairness in Machine Learning (C. M. Boykin, S. Dasch, V. Rice Jr., V. Lakshminarayanan, T. A. Togun and S. M. Brown)
13:33 - 13:44 (ET)Accuracy-Efficiency Trade-Offs and Accountability in Distributed ML Systems (A. F. Cooper, K. Levy and C. De Sa)

Enjoy the short break. Use Gather.town for discussion and meet new people!

Ellora Derenoncourt is a labor economist and economic historian whose work focuses on inequality. Her recent studies have examined northern backlash against the Great Migration and ensuing reductions in Black upward mobility and the role of federal minimum wage policy in closing the racial earnings gap in the Civil Rights Era. She has also written on wage determination in low-wage labor markets and the evolution of the racial wealth gap from pre-Emancipation to the present. Her work has been featured in the Economist, the New York Times, the Wall Street Journal, Fortune Magazine, and NPR. Dr. Derenoncourt received her PhD in Economics from Harvard University in 2019, her MSc in Human Geography from the London School of Economics, and her A.B. at Harvard University.

Title: Racial inequality in the 21st century

Abstract: The talk covers two key lessons from history for the future of racial inequality and public policy making in the United States.

Ellora Derenoncourt is a labor economist and economic historian whose work focuses on inequality. Her recent studies have examined northern backlash against the Great Migration and ensuing reductions in Black upward mobility and the role of federal minimum wage policy in closing the racial earnings gap in the Civil Rights Era. She has also written on wage determination in low-wage labor markets and the evolution of the racial wealth gap from pre-Emancipation to the present. Her work has been featured in the Economist, the New York Times, the Wall Street Journal, Fortune Magazine, and NPR. Dr. Derenoncourt received her PhD in Economics from Harvard University in 2019, her MSc in Human Geography from the London School of Economics, and her A.B. at Harvard University.

A Detroit native, Trooper has more than 20 years of experience working at the crossroads of business, government, and the nonprofit sector. He currently serves as Chief Executive Officer at Benefits Data Trust, a national nonprofit that helps people live healthier, more independent lives by creating smarter ways to access essential benefits and services. Prior to joining BDT, Trooper was a social impact and policy advisor to financial technology startups, business leaders, and philanthropic initiatives. At the Clinton Foundation, Trooper helped create the Alliance for a Healthier Generation, a joint venture with the American Heart Association to reduce obesity in the U.S. Trooper also held White House policy staff positions during two separate administrations. He most recently served as a Rockefeller Foundation Fellow, carrying out a project to identify opportunities to ensure that artificial intelligence improves social and economic equity. Trooper is a graduate of the University of Michigan and holds a Master of Science degree from the London School of Economics and a Master of Laws from the University of London.

Sera Linardi is an Associate Professor of Economics at the Graduate School of Public and International Affairs (GSPIA) at the University of Pittsburgh with appointments at the Intelligent Systems Program at the School of Computing and Information and the Department of Economics at Arts & Sciences. Sera founded and direct the Center for Analytical Approaches to Social Innovation (CAASI). Projects currently managed within CAASI includes Pitt Smart Living Human Behavior Laboratory (video) with SCI (NSF #1739413), the Heinz Endowments funded Pitt Wage Study (School of Social Work, SEIU), and an RCT on service utilization among the previously incarcerated with TAMU Econ (funded by the Rapoport Foundation). The lab also recently started the Tipped Worker study (Pitt Law, Katz, SSW, WSU, and Restaurant Opportunity Center). Sera received her PhD in Social Science at the California Institute of Technology in 2010. Before Caltech, Sera was a computer scientist at Adobe Systems, working on the PDF file technology. As an experimental economist in a school of public affairs, I bridge academic research and the day-to-day challenges facing those who provide services to vulnerable populations. Her research focuses on 1) the supply of donated funds and labor (prosocial behavior), 2) the ability for decision makers to aggregate mission-critical information, and 3) the behavior of the population targeted for service.

Wrapping the conference by saying closing remarks.