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Beyond Fairness: Big Data, Racial Justice & Housing

MIT Media Lab (E14-674)

Please join us for the one-day symposium Beyond Fairness: Big Data, Racial Justice & Housing on Wednesday, April 27, 2022 from 9:00-4:30pm at the MIT Media Lab (E14-674).  Organized by the ICSR Housing vertical team, this one-day symposium explores the intersection of data, algorithms and AI in relation to housing insecurity, home ownership and evictions. Please see icsr-fairhousing.mit.edu for more information.

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Is quantile regression a suitable method to understand tax incentives for charitable giving? Case study from the Canton of Geneva, Switzerland

Giedre Lideikyte Huber and Marta Pittavino (University of Geneva)
E18-304

Abstract:  Under the current Swiss law, taxpayers can deduct charitable donations from their individual’s taxable income subject to a 20%-ceiling. This deductible ceiling was increased at the communal and cantonal level from a previous 5%-ceiling in 2009. The goal of the reform was boosting charitable giving to non-profit entities. However, the effects of this reform, and more generally of the existing Swiss system of tax deductions for charitable giving has never been empirically studied. The aim of this work is…

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Sampling rare events in Earth and planetary science

Jonathan Weare (New York University)
E18-304

Abstract: This talk will cover recent work in our group developing and applying algorithms to simulate rare events in atmospheric science and other areas. I will review a rare event simulation scheme that biases model simulations toward the rare event of interest by preferentially duplicating simulations making progress toward the event and removing others. I will describe applications of this approach to rapid intensification of tropical cyclones and instability of Mercury's orbit with an emphasis on the elements of algorithm…

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TPP Research to Policy Engagement Session with Dr. Lily Pollans

In her research, Dr. Lily Baum Pollans argues that, through municipal waste management, cities have potent agency to alter the structures that permit endless consumption, ultimately slowing, and maybe even reversing, the unsustainable one-way flow of materials through the economy. Waste policy-making and waste research can be messy and demanding. But the climate emergency and the many related ecological and social crises caused by our globally extractive and exploitative economic system demand this kind of complicated, and sometimes actually dirty,…

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SES Dissertation Defense – Hanwei Li

Hanwei Li (IDSS)
E18-304

Estimation and Optimization in Online Marketplaces ABSTRACT The emergence of e-commerce business models (such as Airbnb and Amazon) brings opportunities and challenges to their operations. This thesis studies several estimation and optimization problems within the online platform domain, using data-driven approaches in operations management. The thesis consists of three components. Motivated by the unique setting of Airbnb, in the first work, we consider a game-theoretical setup in which each seller on the platform provides a single-unit product and competes with…

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