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- May 2024
- Article
Moral Thin-Slicing: Forming Moral Impressions from a Brief Glance
By: Julian De Freitas and Alon Hafri
Despite the modern rarity with which people are visual witness to moral transgressions involving
physical harm, such transgressions are more accessible than ever thanks to their availability on
social media and in the news. On one hand, the literature suggests that...
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Keywords:
Moral Judgement;
Thin Slices;
Social Media;
Fake News;
Misinformation;
Moral Sensibility;
News;
Behavior
De Freitas, Julian, and Alon Hafri. "Moral Thin-Slicing: Forming Moral Impressions from a Brief Glance." Art. 104588. Journal of Experimental Social Psychology 112 (May 2024).
- April 2024
- Article
Detecting Routines: Applications to Ridesharing CRM
By: Ryan Dew, Eva Ascarza, Oded Netzer and Nachum Sicherman
Routines shape many aspects of day-to-day consumption. While prior work has established the importance of habits in consumer behavior, little work has been done to understand the implications of routines—which we define as repeated behaviors with recurring, temporal...
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Keywords:
Ride-sharing;
Routine;
Machine Learning;
Customer Relationship Management;
Consumer Behavior;
Segmentation
Dew, Ryan, Eva Ascarza, Oded Netzer, and Nachum Sicherman. "Detecting Routines: Applications to Ridesharing CRM." Journal of Marketing Research (JMR) 61, no. 2 (April 2024): 368–392.
- March 2024 (Revised April 2024)
- Case
Miami’s Climate Tech Potential (A): The State of Play
By: Rosabeth Moss Kanter and Ai-Ling Jamila Malone
Miami-Dade County led the work to get South Florida designated a national climate resilience tech hub, the only one of 31 focused on climate change, an urgent major issue for the region in light of global warming and sea level rise. Venture capitalists saw the...
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Keywords:
Technology;
Climate;
Climate Change;
Venture Capital;
Investment;
Entrepreneur;
Development;
Startup;
Miami
- March 2024
- Case
The CHIPS Program Office
By: Mitchell Weiss and Sebastian Negron-Reichard
In February 2023, U.S. Commerce Secretary Gina Raimondo weighed signing off on a Notice of Funding Opportunity (“NOFO”) with at least one unconventional provision: a pre-application (“pre-app”) to the actual application for parts of $39 billion in direct semiconductor...
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- March 2024
- Article
Differences in Care Team Response to Patient Portal Messages by Patient Race and Ethnicity
By: Mitchell Tang, Rebecca Mishuris, Lily Payvandi and Ariel Dora Stern
Importance: The COVID-19 pandemic was associated with substantial growth in patient portal messaging. Higher message volumes have largely persisted, reflecting a new normal. Prior work has documented lower message use by patients who belong to minoritized racial...
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Keywords:
Health Pandemics;
Technology Adoption;
Prejudice and Bias;
Equality and Inequality;
Communication Technology;
Race;
Ethnicity;
Health Industry
Tang, Mitchell, Rebecca Mishuris, Lily Payvandi, and Ariel Dora Stern. "Differences in Care Team Response to Patient Portal Messages by Patient Race and Ethnicity." JAMA Network Open 7, no. 3 (March 2024).
- 2024
- Report
The Economic Benefits of a Public Sector Nano, Micro, Small and Medium Enterprise (nMSME) Grading Agency: Evidence from Nigeria
By: Saveshen Pillay, Zaakirah Ismail, Anywhere Sikochi and Charles Odii
This is a summary of our working paper exploring the possibility of creating a public sector credit rating system in Emerging Markets. Using research and insights from ongoing work with the Nigerian government, the first country in Africa to attempt to establish a...
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Pillay, Saveshen, Zaakirah Ismail, Anywhere Sikochi, and Charles Odii. "The Economic Benefits of a Public Sector Nano, Micro, Small and Medium Enterprise (nMSME) Grading Agency: Evidence from Nigeria." Report, March 2024.
- February 2024 (Revised February 2024)
- Case
Finberg: Corporate Venture Capital in Turkey
By: Paul A. Gompers and Namrata Arora
In December 2021, Murat Özyeğin, Chairman of Fiba Holding, along with Ömer Mert and İhsan Elgin, engaged in discussions about the future of United Payment, a fintech company in which Finberg, a subsidiary of Fibabanka, held a 20% stake. Finberg, established in 2018 as...
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- 2024
- Working Paper
Principles and Content for Downstream Emissions Disclosures
By: Robert S. Kaplan and Karthik Ramanna
In a previous paper, we proposed the E-liability carbon accounting algorithm for companies to measure and subsequently reduce their own and their suppliers’ emissions. Some investors and stakeholders, however, want companies to also be accountable for downstream...
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Keywords:
Carbon Emissions;
Disclosure;
Carbon Footprint;
Climate Change;
Measurement and Metrics;
Corporate Disclosure;
Environmental Sustainability;
Corporate Social Responsibility and Impact
Kaplan, Robert S., and Karthik Ramanna. "Principles and Content for Downstream Emissions Disclosures." Harvard Business School Working Paper, No. 24-050, January 2024.
- 2024
- Article
Beyond the 510(k): The Regulation of Novel Moderate-Risk Medical Devices, Intellectual Property Considerations, and Innovation Incentives in the FDA’s De Novo Pathway
By: Mateo Aboy, Cristina Crespo and Ariel Stern
Moderate-risk medical devices constitute 99% of those that have been regulated by the U.S. Food and Drug Administration (FDA) since it gained authority to regulate medical technology nearly five decades ago. This article presents an analysis of the interaction between...
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Keywords:
Governing Rules, Regulations, and Reforms;
Health Care and Treatment;
Technology Adoption;
Technological Innovation;
Safety;
Medical Devices and Supplies Industry;
United States
Aboy, Mateo, Cristina Crespo, and Ariel Stern. "Beyond the 510(k): The Regulation of Novel Moderate-Risk Medical Devices, Intellectual Property Considerations, and Innovation Incentives in the FDA’s De Novo Pathway." Art. 29. npj Digital Medicine 7 (2024).
- January 2024
- Supplement
Winning Business at Russell Reynolds
By: Ethan Bernstein and Cara Mazzucco
In an effort to make compensation drive collaboration, Russell Reynolds Associates’ (RRA) CEO Clarke Murphy sought to re-engineer the bonus system for his executive search consultants in 2016. As his HR analytics guru, Kelly Smith, points out, that risks upsetting–and...
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Bernstein, Ethan, and Cara Mazzucco. "Winning Business at Russell Reynolds." Harvard Business School Multimedia/Video Supplement 424-704, January 2024.
- 2024
- Working Paper
Bootstrap Diagnostics for Irregular Estimators
By: Isaiah Andrews and Jesse M. Shapiro
Empirical researchers frequently rely on normal approximations in order to summarize and communicate uncertainty about their findings to their scientific audience. When such approximations are unreliable, they can lead the audience to make misguided decisions. We...
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Andrews, Isaiah, and Jesse M. Shapiro. "Bootstrap Diagnostics for Irregular Estimators." NBER Working Paper Series, No. 32038, January 2024.
- January 2024
- Article
Population Interference in Panel Experiments
By: Kevin Wu Han, Guillaume Basse and Iavor Bojinov
The phenomenon of population interference, where a treatment assigned to one experimental unit affects another experimental unit’s outcome, has received considerable attention in standard randomized experiments. The complications produced by population interference in...
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Han, Kevin Wu, Guillaume Basse, and Iavor Bojinov. "Population Interference in Panel Experiments." Journal of Econometrics 238, no. 1 (January 2024).
- 2024
- Conference Paper
Quantifying Uncertainty in Natural Language Explanations of Large Language Models
By: Himabindu Lakkaraju, Sree Harsha Tanneru and Chirag Agarwal
Large Language Models (LLMs) are increasingly used as powerful tools for several
high-stakes natural language processing (NLP) applications. Recent prompting
works claim to elicit intermediate reasoning steps and key tokens that serve as
proxy explanations for LLM...
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Lakkaraju, Himabindu, Sree Harsha Tanneru, and Chirag Agarwal. "Quantifying Uncertainty in Natural Language Explanations of Large Language Models." Paper presented at the Society for Artificial Intelligence and Statistics, 2024.
- December 2023
- Case
Francis Ngannou
By: Anita Elberse
In May 2023, professional fighter Francis Ngannou is facing a choice: re-sign with the Ultimate Fighting Championship (UFC), the world’s premier mixed-martial-arts (MMA) organization, or opt for a contract with the Professional Fighters League (PFL), a growing but...
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- 2023
- Article
Balancing Risk and Reward: An Automated Phased Release Strategy
By: Yufan Li, Jialiang Mao and Iavor Bojinov
Phased releases are a common strategy in the technology industry for gradually releasing new products or updates through a sequence of A/B tests in which the number of treated units gradually grows until full deployment or deprecation. Performing phased releases in a...
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Li, Yufan, Jialiang Mao, and Iavor Bojinov. "Balancing Risk and Reward: An Automated Phased Release Strategy." Advances in Neural Information Processing Systems (NeurIPS) (2023).
- December 2023
- Article
Discerning Saints: Moralization of Intrinsic Motivation and Selective Prosociality at Work
By: Mijeong Kwon, Julia Lee Cunningham and Jon M. Jachimowicz
Intrinsic motivation has received widespread attention as a predictor of positive work outcomes, including employees’ prosocial behavior. In the current research, we offer a more nuanced view by proposing that intrinsic motivation does not uniformly increase prosocial...
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Kwon, Mijeong, Julia Lee Cunningham, and Jon M. Jachimowicz. "Discerning Saints: Moralization of Intrinsic Motivation and Selective Prosociality at Work." Academy of Management Journal 66, no. 6 (December 2023): 1625–1650.
- 2023
- Article
M4: A Unified XAI Benchmark for Faithfulness Evaluation of Feature Attribution Methods across Metrics, Modalities, and Models
By: Himabindu Lakkaraju, Xuhong Li, Mengnan Du, Jiamin Chen, Yekun Chai and Haoyi Xiong
While Explainable Artificial Intelligence (XAI) techniques have been widely studied to explain predictions made by deep neural networks, the way to evaluate the faithfulness of explanation results remains challenging, due to the heterogeneity of explanations for...
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Keywords:
AI and Machine Learning
Lakkaraju, Himabindu, Xuhong Li, Mengnan Du, Jiamin Chen, Yekun Chai, and Haoyi Xiong. "M4: A Unified XAI Benchmark for Faithfulness Evaluation of Feature Attribution Methods across Metrics, Modalities, and Models." Advances in Neural Information Processing Systems (NeurIPS) (2023).
- December 2023
- Article
Self-Orienting in Human and Machine Learning
By: Julian De Freitas, Ahmet Uğuralp, Zeliha Uğuralp, Laurie Paul, Joshua B. Tenenbaum and T. Ullman
A current proposal for a computational notion of self is a representation of one’s body in a specific time and place, which includes the recognition of that representation as the agent. This turns self-representation into a process of self-orientation, a challenging...
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De Freitas, Julian, Ahmet Uğuralp, Zeliha Uğuralp, Laurie Paul, Joshua B. Tenenbaum, and T. Ullman. "Self-Orienting in Human and Machine Learning." Nature Human Behaviour 7, no. 12 (December 2023): 2126–2139.
- 2023
- Article
Verifiable Feature Attributions: A Bridge between Post Hoc Explainability and Inherent Interpretability
By: Usha Bhalla, Suraj Srinivas and Himabindu Lakkaraju
With the increased deployment of machine learning models in various real-world applications, researchers and practitioners alike have emphasized the need for explanations of model behaviour. To this end, two broad strategies have been outlined in prior literature to...
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Bhalla, Usha, Suraj Srinivas, and Himabindu Lakkaraju. "Verifiable Feature Attributions: A Bridge between Post Hoc Explainability and Inherent Interpretability." Advances in Neural Information Processing Systems (NeurIPS) (2023).
- November 2023 (Revised December 2023)
- Case
Celsius Network Inc.: Fear, Uncertainty, and Doubt in the Brave New World of Crypto Bankruptcy
By: Stuart C. Gilson and Sarah L. Abbott
In July 2022, Celsius Network filed for Chapter 11 bankruptcy. CEO Alex Mashinsky acknowledged that Celsius had grown its assets “faster than the Company was prepared to deploy [them]” and as a result had made “certain poor asset deployment decisions.” Two months after...
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