Publications

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2021
Article

ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation

By: Chuang Gan, Jeremy Schwartz, Seth Alter, Damian Mrowca, Martin Schrimpf, James Traer, Julian De Freitas, Jonas Kubilius, Abhishek Bhandwaldar, Nick Haber, Megumi Sano, Kuno Kim, Elias Wang, Michael Lingelbach, Aidan Curtis, Kevin Feigelis, Daniel M. Bear, Dan Gutfreund, David Cox, Antonio Torralba, James J. DiCarlo, Joshua B. Tenenbaum, Josh H. McDermott and Daniel L.K. Yamins

We introduce ThreeDWorld (TDW), a platform for interactive multi-modal physical simulation. TDW enables simulation of high-fidelity sensory data and physical interactions between mobile agents and objects in rich 3D environments. Unique properties include: real-time... View Details

Keywords: Artificial Intelligence; Platform; Interactive Physical Simulation; Virtual Environment; Multi-modal; AI and Machine Learning

06 Mar 2018
First Look

First Look at Research and Ideas, March 6, 2018

learning efficiencies that could drive down manufacturing costs over time. By 2016, Boeing had deferred about $27 billion in production costs related to its 787 program. If Boeing had been forced to expense... View Details

Keywords: Sean Silverthorne

13 Apr 2010
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First Look: April 13

by deviating frequently and in predictable ways from the recommendations offered by a centralized capacity planning model. Finally, we document that these discretionary capacity supply decisions exhibit a... View Details

Keywords: Martha Lagace

2023
Working Paper

Cognitive Uncertainty in Intertemporal Choice

By: Benjamin Enke and Thomas Graeber

This paper studies the relevance of cognitive uncertainty – subjective uncertainty over one's utility-maximizing action – for understanding and predicting intertemporal choice. The main idea is that when people are cognitively noisy, such as when a decision is complex,... View Details

Keywords: Cognitive Uncertainty; Intertemporal Choice; Cognition and Thinking; Complexity; Decision Choices and Conditions

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2024
Working Paper

Warnings and Endorsements: Improving Human-AI Collaboration Under Covariate Shift

By: Matthew DosSantos DiSorbo and Kris Ferreira

Problem definition: While artificial intelligence (AI) algorithms may perform well on data that are representative of the training set (inliers), they may err when extrapolating on non-representative data (outliers). These outliers often originate from covariate shift,... View Details

Keywords: AI and Machine Learning; Decision Choices and Conditions

Teaching Interest

Overview

Laura taught undergraduate Military Leadership and Intro to Sociology for 6 and 4 semesters, respectively, at the United States Military Academy (West Point) from 2013-2016 (see course descriptions and links below). She was promoted from instructor to Assistant... View Details

25 Sep 2012
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First Look: September 25

significant, misstep by Dimon who had successfully steered Morgan through the financial crisis and was regarded as one of the financial industry's best leaders and risk managers. The firm also revealed that it was restating its first... View Details

Keywords: Sean Silverthorne

April 2024 (Revised May 2024)
Case

Anthropic: Building Safe AI

By: Shikhar Ghosh and Shweta Bagai

In March 2024, Anthropic, a leading AI safety and research company, made headlines with the launch of Claude 3, its most advanced AI model. This marked Anthropic’s bold entry into the multimodal GenAI domain, showcasing capabilities extending to both image and text... View Details

Keywords: AI and Machine Learning; Corporate Accountability; Corporate Social Responsibility and Impact; Business Growth and Maturation; Corporate Strategy; Technology Industry; United States

Educators

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March 2022
Article

Winner Takes All? Tech Clusters, Population Centers, and the Spatial Transformation of U.S. Invention

By: Brad Chattergoon and William R. Kerr

U.S. invention has become increasingly concentrated around major tech centers since the 1970s, with implications for how much cities across the country share in concomitant local benefits. Is invention becoming a winner-takes-all race? We explore the rising spatial... View Details

Keywords: Clusters; Invention; Agglomeration; Artificial Intelligence; Innovation and Invention; Patents; Applications and Software; Industry Clusters; AI and Machine Learning

05 Feb 2008
First Look

First Look: February 5, 2008

Working PapersOn Best-Response Bidding in GSP Auctions Authors:Matthew Cary, Aparna Das, Benjamin Edelman, Ioannis Giotis, Kurtis Heimerl, Anna R. Karlin, Claire Mathieu, and Michael Schwarz Abstract How should players bid in keyword auctions such as those used View Details

Keywords: Martha Lagace

20 Nov 2018
First Look

New Research and Ideas, November 20, 2018

Abstract—In a survey of the NEJM Catalyst Insights Council in July 2018, 42% of respondents say they think value-based reimbursement models will be the primary revenue model for U.S. health care. Indeed, this transition is already... View Details

Keywords: Dina Gerdeman

June 2021
Article

From Predictions to Prescriptions: A Data-driven Response to COVID-19

By: Dimitris Bertsimas, Léonard Boussioux, Ryan Cory-Wright, Arthur Delarue, Vassilis Digalakis Jr, Alexander Jacquillat, Driss Lahlou Kitane, Galit Lukin, Michael Lingzhi Li, Luca Mingardi, Omid Nohadani, Agni Orfanoudaki, Theodore Papalexopoulos, Ivan Paskov, Jean Pauphilet, Omar Skali Lami, Bartolomeo Stellato, Hamza Tazi Bouardi, Kimberly Villalobos Carballo, Holly Wiberg and Cynthia Zeng

The COVID-19 pandemic has created unprecedented challenges worldwide. Strained healthcare providers make difficult decisions on patient triage, treatment and care management on a daily basis. Policy makers have imposed social distancing measures to slow the disease, at... View Details

Keywords: COVID-19; Health Pandemics; AI and Machine Learning; Forecasting and Prediction; Analytics and Data Science

20 Jan 2010
First Look

First Look: Jan. 20

self-report of a licensee. Self-reporting gives rise to demand for auditing by the licensor or third-party attestation by the licensee. We characterize the optimal royalty contract, accounting system choice... View Details

Keywords: Martha Lagace

10 Nov 2015
First Look

November 10, 2015

Don't Learn: Our Traditional Obsessions—Success, Taking Action, Fitting In, and Relying on Experts—Undermine Continuous Improvement By: Gino, F., and B. Staats Abstract—For any enterprise to be competitive, continuous learning and... View Details

Keywords: Sean Silverthorne

24 Jan 2017
First Look

First Look at New Research: January 24, 2017

January 2017 Review of Financial Studies Being Surprised by the Unsurprising: Earnings Seasonality and Stock Returns By: Chang, Tom Y., Samuel M. Hartzmark, David H. Solomon, and Eugene F. Soltes Abstract—We present evidence consistent... View Details

Keywords: Sean Silverthorne

October 2013
Article

With a Little Help from My (Random) Friends: Success and Failure in Post-Business School Entrepreneurship

By: Josh Lerner and Ulrike Malmendier

To what extent do peers affect our occupational choices? This question has been of particular interest in the context of entrepreneurship and policies to create a favorable environment for entry. Such influences, however, are hard to identify empirically. We exploit... View Details

Keywords: Behavior; Entrepreneurship; Attitudes; Relationships; Cognition and Thinking

20 May 2014
Research & Ideas

Managing the Family Business: Survival’s Secret Sauce

returns you need. I'm studying family wealth creators around the world. The best, like Alex Birman at Arezzo, often show an interest in business between the ages of 8-14. Develop these wealth generators by providing the right... View Details

02 Apr 2019
First Look

New Research and Ideas, April 2, 2019

three business units, would be affected by a business model change for its largest product that required a change in the timing of revenue recognition. Corporate Learning was in the process of revamping its... View Details

Keywords: Dina Gerdeman

2023
Working Paper

Insufficiently Justified Disparate Impact: A New Criterion for Subgroup Fairness

By: Neil Menghani, Edward McFowland III and Daniel B. Neill

In this paper, we develop a new criterion, "insufficiently justified disparate impact" (IJDI), for assessing whether recommendations (binarized predictions) made by an algorithmic decision support tool are fair. Our novel, utility-based IJDI criterion evaluates false... View Details

Keywords: AI and Machine Learning; Forecasting and Prediction; Prejudice and Bias