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  • All HBS Web  (308)
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  • All HBS Web  (308)
    • News  (36)
    • Research  (212)
    • Events  (2)
    • Multimedia  (5)
  • Faculty Publications  (66)
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  • November 2023
  • Article

Federated Electronic Health Records for the European Health Data Space

By: René Raab, Arne Küderle, Anastasiya Zakreuskaya, Ariel Dora Stern, Jochen Klucken, Georgios Kaissis, Daniel Rueckert, Susanne Boll, Roland Eils, Harald Wagener and Bjoern Eskofier
The European Commission's draft for the European Health Data Space (EHDS) aims to empower citizens to access their personal health data and share it with physicians and other health-care providers. It further defines procedures for the secondary use of electronic... View Details
Keywords: Analytics and Data Science; Cybersecurity; Information Management; Knowledge Sharing; Knowledge Use and Leverage; Health Industry
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Raab, René, Arne Küderle, Anastasiya Zakreuskaya, Ariel Dora Stern, Jochen Klucken, Georgios Kaissis, Daniel Rueckert, Susanne Boll, Roland Eils, Harald Wagener, and Bjoern Eskofier. "Federated Electronic Health Records for the European Health Data Space." Lancet Digital Health 5, no. 11 (November 2023): e840–e847.
  • May 2000
  • Article

Maxmin Expected Utility over Savage Acts with a Set of Priors

By: Ramon Casadesus-Masanell, Peter Klibanoff and Emre Ozdenoren
This paper provides an axiomatic foundation for a maxmin expected utility over a set of priors (MMEU) decision rule in an environment where the elements of choice are Savage acts. This characterization complements the original axiomatizations of MMEU developed in a... View Details
Keywords: Uncertainty Aversion; Ambiguity; Expected Utility; Set Of Priors; Knightian Uncertainty; Decision Making; Game Theory; Risk and Uncertainty; Mathematical Methods
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Casadesus-Masanell, Ramon, Peter Klibanoff, and Emre Ozdenoren. "Maxmin Expected Utility over Savage Acts with a Set of Priors." Journal of Economic Theory 92, no. 1 (May 2000): 35–65.
  • 12 Feb 2008
  • First Look

First Look: February 12, 2007

firms. They also affect trading signal classifications, back-testing inferences, track records of individual analysts, and models of analysts' career outcomes in the three years following the changes. Long-Run Stockholder Consumption Risk... View Details
Keywords: Martha Lagace
  • October 2008 (Revised February 2014)
  • Case

The Northwest Passage

By: Herman B. Leonard and Peter Brannen
Following dozens of failed expeditions to "discover" the NW passage, a Norwegian adventurer employs a new approach that emphasizes rigorous preparation, a lighter, quicker style, and a willingness to adapt to the inhospitable Arctic environment and its people. The case... View Details
Keywords: Independent Innovation and Invention; Planning; Problems and Challenges; Risk and Uncertainty; Decision Choices and Conditions; Leadership Style; Adaptation; Canada
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Leonard, Herman B., and Peter Brannen. "The Northwest Passage." Harvard Business School Case 309-067, October 2008. (Revised February 2014.)
  • 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
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Bertsimas, Dimitris, 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. "From Predictions to Prescriptions: A Data-driven Response to COVID-19." Health Care Management Science 24, no. 2 (June 2021): 253–272.
  • 29 Sep 2009
  • First Look

First Look: September 29

http://papers.ssrn.com/sol3/papers.cfm?abstract_id=1471435 Systemic Risk and the Refinancing Ratchet Effect Authors:Amir E. Khandani, Andrew W. Lo, and Robert C. Merton Abstract The confluence of three trends in the U.S. residential... View Details
Keywords: Martha Lagace
  • 14 May 2008
  • Research & Ideas

Getting Down to the Business of Creativity

individual. Of course it does. But it also depends on creative thinking as a skill that involves qualities such as the propensity to take risks and to turn a problem on its head to get a new perspective. That can be learned." “Our... View Details
Keywords: by Julia Hanna; Retail; Apparel & Accessories; Fashion; Entertainment & Recreation
  • 24 Jan 2012
  • First Look

First Look: Jan. 24

Colgate. Policy Bundling to Overcome Risk Aversion: A Method for Improving Legislative Outcomes Authors:Katherine L. Milkman, Mary Carol Mazza, Lisa L. Shu, Chia-Jung Tsay, and Max H. Bazerman Publication:Organizational Behavior and Human... View Details
Keywords: Sean Silverthorne
  • Research Summary

Overview

Over the last decade, technology companies like Amazon, Google, and Netflix have pioneered data-driven research and development processes centered on massive experimentation. However, as companies increase the breadth and scale of their experiments to millions of... View Details
  • January–February 2023
  • Article

Data-Driven COVID-19 Vaccine Development for Janssen

By: Dimitris Bertsimas, Michael Lingzhi Li, Xinggang Liu, Jennings Xu and Najat Khan
The COVID-19 pandemic has spurred extensive vaccine research worldwide. One crucial part of vaccine development is the phase III clinical trial that assesses the vaccine for safety and efficacy in the prevention of COVID-19. In this work, we enumerate the first... View Details
Keywords: COVID-19; Health Testing and Trials; Forecasting and Prediction; AI and Machine Learning; Research; Pharmaceutical Industry
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Bertsimas, Dimitris, Michael Lingzhi Li, Xinggang Liu, Jennings Xu, and Najat Khan. "Data-Driven COVID-19 Vaccine Development for Janssen." INFORMS Journal on Applied Analytics 53, no. 1 (January–February 2023): 70–84.
  • Research Summary

Overview

By: Iavor I. Bojinov
Over the last decade, technology companies like Amazon, Google, and Netflix have pioneered data-driven research and development processes centered on massive experimentation. However, as companies increase the breadth and scale of their experiments to millions of... View Details
  • March 2010 (Revised May 2012)
  • Case

Myelin Repair Foundation: Accelerating Drug Discovery Through Collaboration

By: Karim R. Lakhani and Paul R. Carlile
This case presents the Myelin Repair Foundation's accelerated research collaboration model for drug discovery. It highlights the challenges of building a multi-disciplinary and multi-institutional research collaboration that is attempting to create a treatment for... View Details
Keywords: Research and Development; Intellectual Property; Risk and Uncertainty; Strategic Planning; Collaborative Innovation and Invention; Health Disorders; Pharmaceutical Industry; Biotechnology Industry; Health Industry
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Lakhani, Karim R., and Paul R. Carlile. "Myelin Repair Foundation: Accelerating Drug Discovery Through Collaboration." Harvard Business School Case 610-074, March 2010. (Revised May 2012.)
  • May 2025
  • Article

Imagining the Future: Memory, Simulation and Beliefs

By: Pedro Bordalo, Giovanni Burro, Katherine B. Coffman, Nicola Gennaioli and Andrei Shleifer
How do people form beliefs about novel risks, with which they have little or no experience? Motivated by survey data on beliefs about Covid we collected in 2020, we build a model based on the psychology of selective memory. When a person thinks about an event,... View Details
Keywords: Expectations; Memory; COVID-19 Pandemic; Risk and Uncertainty; Cognition and Thinking
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Bordalo, Pedro, Giovanni Burro, Katherine B. Coffman, Nicola Gennaioli, and Andrei Shleifer. "Imagining the Future: Memory, Simulation and Beliefs." Review of Economic Studies 92, no. 3 (May 2025): 1532–1563.
  • 20 Nov 2006
  • Research & Ideas

Open Source Science: A New Model for Innovation

of knowledge, but in practice that doesn't happen much at all. Some scientists, however, are pushing back and many say they need to rethink how they conduct science. Q: What are the risks of opening problems to outsiders? A: For firms,... View Details
Keywords: by Martha Lagace
  • 29 Jan 2014
  • Working Paper Summaries

The Rising Cost of Consumer Attention: Why You Should Care, and What You Can Do about It

Keywords: by Thales S. Teixeira
  • 16 Feb 2024
  • Research & Ideas

Is Your Workplace Biased Against Introverts?

conducted five studies to explore differences in how extroverts and introverts express, perceive, and experience passion on the job. To extract data from subjective expressions of passion, the team created a novel “passion experiences and... View Details
Keywords: by Ben Rand
  • 13 Jan 2012
  • Working Paper Summaries

Intermediaries for the IP Market

Keywords: by Andrei Hagiu & David Yoffie
  • 19 Jun 2007
  • First Look

First Look: June 19, 2007

launched the highly successful Go Red For Women campaign to help women understand their risk for heart disease. But Go Red became more than a fundraising vehicle. It energized the AHA and its 22 million volunteers, and potentially sparked... View Details
Keywords: Martha Lagace
  • 2017
  • Working Paper

Economic Uncertainty and Earnings Management

By: Luke C.D. Stein and Charles C.Y. Wang
In the presence of managerial short-termism and asymmetric information about skill and effort provision, firms may opportunistically shift earnings from uncertain to more certain times. We document empirically that when financial markets are less certain about a firm's... View Details
Keywords: Discretionary Accruals; Uncertainty; Implied Volatility; Earnings Response Coefficient; Risk and Uncertainty; Earnings Management; Financial Markets
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Stein, Luke C.D., and Charles C.Y. Wang. "Economic Uncertainty and Earnings Management." Harvard Business School Working Paper, No. 16-103, March 2016. (Revised April 2017.)
  • 30 Oct 2007
  • First Look

First Look: October 30, 2007

  Working PapersRecognizing the New: A Multi-Agent Model of Analogy in Strategic Decision-Making Authors:Giovanni Gavetti and Massimo Warglien Abstract In novel environments, strategic decision-making is often premised on analogy, and... View Details
Keywords: Sean Silverthorne
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