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- March 2024
- Case
Hippo: Weathering the Storm of the Home Insurance Crisis
By: Lauren Cohen, Grace Headinger and Sophia Pan
Rick McCathron, CEO of Hippo, considered how the firm’s underwriting model could account for the effects of climate change. Along with providing smart home packages, targeting risk-friendly customers, and using data-driven pricing, the Insurtech used technologically...
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Keywords:
Fintech;
Underwriters;
Big Data;
Insurance Companies;
Global Warming;
Business Model Design;
Weather And Climate Change;
Weather Insurance;
Earnings;
Business Model;
Forecasting and Prediction;
Climate Change;
Environmental Sustainability;
Green Technology;
Technological Innovation;
Natural Environment;
Natural Disasters;
Weather;
Business Strategy;
Competitive Advantage;
Business Earnings;
Insurance;
Social Issues;
Insurance Industry;
United States;
California
- March 2024
- Teaching Note
CoPilot(s): Generative AI at Microsoft and GitHub
By: Frank Nagle and M. P. Roche
This teaching note is the companion to case N9-624-010 CoPilot(s): Generative AI at Microsoft and GitHub, which takes place in late 2021. The case briefly describes the history of both GitHub and Microsoft with a particular focus on open source software (OSS) –...
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- March 2024
- Case
Unintended Consequences of Algorithmic Personalization
By: Eva Ascarza and Ayelet Israeli
“Unintended Consequences of Algorithmic Personalization” (HBS No. 524-052) investigates algorithmic bias in marketing through four case studies featuring Apple, Uber, Facebook, and Amazon. Each study presents scenarios where these companies faced public criticism for...
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Keywords:
Race;
Gender;
Marketing;
Diversity;
Customer Relationship Management;
Technology Industry;
Retail Industry;
United States
Ascarza, Eva, and Ayelet Israeli. "Unintended Consequences of Algorithmic Personalization." Harvard Business School Case 524-052, March 2024.
- 2024
- Case
Christiana Figueres and the Paris Climate Negotiations (A)
By: James K. Sebenius, Laurence A. Green, Hannah Riley-Bowles, Lara SanPietro and Mina Subramanian
This three-part, stop action case study, structured for classroom discussion, centers on Harvard’s Program on Negotiation 2022 Great Negotiator, Christiana Figueres, and her efforts as Executive Secretary of the United Nations Framework Convention on Climate Change...
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Keywords:
Climate Change;
Negotiation;
Environmental Regulation;
International Relations;
Leadership
Sebenius, James K., Laurence A. Green, Hannah Riley-Bowles, Lara SanPietro, and Mina Subramanian. "Christiana Figueres and the Paris Climate Negotiations (A)." Program on Negotiation at Harvard Law School Case, 2024.
- 2024
- Case
Christiana Figueres and the Paris Climate Negotiations (B)
By: James K. Sebenius, Laurence A. Green, Hannah Riley-Bowles, Lara SanPietro and Mina Subramanian
This three-part, stop action case study, structured for classroom discussion, centers on Harvard’s Program on Negotiation 2022 Great Negotiator, Christiana Figueres, and her efforts as Executive Secretary of the United Nations Framework Convention on Climate Change...
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Keywords:
Climate Change;
Negotiation;
Environmental Regulation;
International Relations;
Leadership
Sebenius, James K., Laurence A. Green, Hannah Riley-Bowles, Lara SanPietro, and Mina Subramanian. "Christiana Figueres and the Paris Climate Negotiations (B)." Program on Negotiation at Harvard Law School Case, 2024.
- 2024
- Case
Christiana Figueres and the Paris Climate Negotiations: Figueres the Negotiator (C)
By: James K. Sebenius, Laurence A. Green, Hannah Riley-Bowles, Lara SanPietro and Mina Subramanian
This three-part, stop action case study, structured for classroom discussion, centers on Harvard’s Program on Negotiation 2022 Great Negotiator, Christiana Figueres, and her efforts as Executive Secretary of the United Nations Framework Convention on Climate Change...
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Keywords:
Climate Change;
Negotiation;
Environmental Management;
International Relations;
Leadership
Sebenius, James K., Laurence A. Green, Hannah Riley-Bowles, Lara SanPietro, and Mina Subramanian. "Christiana Figueres and the Paris Climate Negotiations: Figueres the Negotiator (C)." Program on Negotiation at Harvard Law School Case, 2024.
- 2023
- Working Paper
Debiasing Treatment Effect Estimation for Privacy-Protected Data: A Model Auditing and Calibration Approach
By: Ta-Wei Huang and Eva Ascarza
Data-driven targeted interventions have become a powerful tool for organizations to optimize business outcomes
by utilizing individual-level data from experiments. A key element of this process is the estimation
of Conditional Average Treatment Effects (CATE), which...
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Huang, Ta-Wei, and Eva Ascarza. "Debiasing Treatment Effect Estimation for Privacy-Protected Data: A Model Auditing and Calibration Approach." Harvard Business School Working Paper, No. 24-034, December 2023.
- November 2023
- Article
Algorithmic Mechanism Design with Investment
By: Mohammad Akbarpour, Scott Duke Kominers, Kevin Michael Li, Shengwu Li and Paul Milgrom
We study the investment incentives created by truthful mechanisms that allocate resources using approximation algorithms. Some approximation algorithms guarantee nearly 100% of the optimal welfare, but have only a zero guarantee when one bidder can invest before...
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Akbarpour, Mohammad, Scott Duke Kominers, Kevin Michael Li, Shengwu Li, and Paul Milgrom. "Algorithmic Mechanism Design with Investment." Econometrica 91, no. 6 (November 2023): 1969–2003.
- 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.
- December 2023
- Article
When Should the Off-Grid Sun Shine at Night? Optimum Renewable Generation and Energy Storage Investments
By: Christian Kaps, Simone Marinesi and Serguei Netessine
Globally, 1.5 billion people live off the grid, their only access to electricity often limited to operationally-expensive fossil fuel generators. Solar power has risen as a sustainable and less costly option, but its generation is variable during the day and...
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Kaps, Christian, Simone Marinesi, and Serguei Netessine. "When Should the Off-Grid Sun Shine at Night? Optimum Renewable Generation and Energy Storage Investments." Management Science 69, no. 12 (December 2023): 7633–7650.
- 2023
- Article
Which Models Have Perceptually-Aligned Gradients? An Explanation via Off-Manifold Robustness
By: Suraj Srinivas, Sebastian Bordt and Himabindu Lakkaraju
One of the remarkable properties of robust computer vision models is that their input-gradients are often aligned with human perception, referred to in the literature as perceptually-aligned gradients (PAGs). Despite only being trained for classification, PAGs cause...
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Srinivas, Suraj, Sebastian Bordt, and Himabindu Lakkaraju. "Which Models Have Perceptually-Aligned Gradients? An Explanation via Off-Manifold Robustness." Advances in Neural Information Processing Systems (NeurIPS) (2023).
- Working Paper
An AI Method to Score Celebrity Visual Potential from Human Faces
By: Flora Feng, Shunyuan Zhang, Xiao Liu, Kannan Srinivasan and Cait Lamberton
Celebrities have extraordinary abilities to attract and influence others. Predicting celebrity visual potential is important in the domains of business, politics, media, and entertainment. Can we use human faces to predict celebrity visual potential? If so, which...
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Feng, Flora, Shunyuan Zhang, Xiao Liu, Kannan Srinivasan, and Cait Lamberton. "An AI Method to Score Celebrity Visual Potential from Human Faces." SSRN Working Paper Series, No. 4071188, November 2023.
- 2023
- Working Paper
The Optimal Stock Valuation Ratio
By: Sebastian Hillenbrand and Odhrain McCarthy
Trailing price ratios, such as the price-dividend and the price-earnings ratio, scale prices by trailing cash flow measures. They theoretically contain expected returns, yet, their performance in predicting stock market returns is poor. This is because of an omitted...
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Keywords:
Price;
Investment Return;
AI and Machine Learning;
Valuation;
Cash Flow;
Forecasting and Prediction
Hillenbrand, Sebastian, and Odhrain McCarthy. "The Optimal Stock Valuation Ratio." Working Paper, November 2023.
- October 2023 (Revised February 2024)
- Case
Governance and Growth at GenUnity
By: Brian Trelstad, Paul Healy and Annelena Lobb
Jerren Chang, CEO and co-founder of GenUnity, had to choose a strategy to scale his civic engagement-focused nonprofit. Based in Boston, Chang could grow the organization there or begin to expand to other cities. He also had to select candidates for a board of...
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- October 2023 (Revised October 2023)
- Case
Fantuan
By: Feng Zhu and David Lane
In 2023, CEO Randy Wu was considering the optimal growth strategy for Fantuan, a restaurant food delivery platform that had expanded from its 2014 founding in Vancouver, Canada to serve the Chinese demand for Asian cuisine in urban markets across Australia, Canada, the...
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- October 2023
- Case
FARM Rio: Bringing a Brazilian Fashion Brand to the World
By: Isamar Troncoso and Jill Avery
FARM Rio, a twenty-six year old Brazilian fashion brand had recently put down roots in the U.S. The brand, known for its bold, colorful, nature-inspired tropical prints, was testing the waters in Europe to assess if and how the brand should further expand globally....
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- September 28, 2023
- Article
A Perspective on the Great Reallocation of Global Supply Chains
By: Laura Alfaro and Davin Chor
Previous optimism that cross-border supply chains would improve efficiency for firms and open up growth opportunities for countries has been tempered by concerns that global value chains now expose firms and countries to the risk of disruptions. This column analyses...
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Alfaro, Laura, and Davin Chor. "A Perspective on the Great Reallocation of Global Supply Chains." Vox, CEPR Policy Portal (September 28, 2023).
- September–October 2023
- Article
Interpretable Matrix Completion: A Discrete Optimization Approach
By: Dimitris Bertsimas and Michael Lingzhi Li
We consider the problem of matrix completion on an n × m matrix. We introduce the problem of interpretable matrix completion that aims to provide meaningful insights for the low-rank matrix using side information. We show that the problem can be...
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Keywords:
Mathematical Methods
Bertsimas, Dimitris, and Michael Lingzhi Li. "Interpretable Matrix Completion: A Discrete Optimization Approach." INFORMS Journal on Computing 35, no. 5 (September–October 2023): 952–965.
- 2023
- Working Paper
Targeting, Personalization, and Engagement in an Agricultural Advisory Service
By: Susan Athey, Shawn Cole, Shanjukta Nath and Jessica Zhu
ICT is increasingly used to deliver customized information in developing countries. We
examine whether individually targeting the timing of automated voice calls meaningfully
increases engagement in an agricultural advisory service. We define, estimate, and...
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Keywords:
Developing Countries and Economies;
Knowledge Dissemination;
Customization and Personalization;
Performance Effectiveness
Athey, Susan, Shawn Cole, Shanjukta Nath, and Jessica Zhu. "Targeting, Personalization, and Engagement in an Agricultural Advisory Service." Harvard Business School Working Paper, No. 24-006, August 2023.
- July–August 2023
- Article
Demand Learning and Pricing for Varying Assortments
By: Kris Ferreira and Emily Mower
Problem Definition: We consider the problem of demand learning and pricing for retailers who offer assortments of substitutable products that change frequently, e.g., due to limited inventory, perishable or time-sensitive products, or the retailer’s desire to...
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Keywords:
Experiments;
Pricing And Revenue Management;
Retailing;
Demand Estimation;
Pricing Algorithm;
Marketing;
Price;
Demand and Consumers;
Mathematical Methods
Ferreira, Kris, and Emily Mower. "Demand Learning and Pricing for Varying Assortments." Manufacturing & Service Operations Management 25, no. 4 (July–August 2023): 1227–1244. (Finalist, Practice-Based Research Competition, MSOM (2021) and Finalist, Revenue Management & Pricing Section Practice Award, INFORMS (2019).)