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      • August 2020
      • Technical Note

      Comparing Two Groups: Sampling and t-Testing

      By: Iavor I Bojinov, Chiara Farronato, Yael Grushka-Cockayne, Willy C. Shih and Michael W. Toffel
      This note describes sampling and t-tests, two fundamental statistical concepts. View Details
      Keywords: Statistics; Econometric Analyses; Experimental Methods; Data Analysis; Data Analytics; Analytics and Data Science; Analysis; Surveys; Mathematical Methods
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      Bojinov, Iavor I., Chiara Farronato, Yael Grushka-Cockayne, Willy C. Shih, and Michael W. Toffel. "Comparing Two Groups: Sampling and t-Testing." Harvard Business School Technical Note 621-044, August 2020.
      • 2020
      • Book

      Dealmaking: The New Strategy of Negotiauctions

      By: Guhan Subramanian
      Based on broad research and detailed case studies, Dealmaking provides the jargon-free, empirically sound advice you need to close the deal.
      Leading dealmaking scholar Guhan Subramanian specializes in understanding how deals work. As a Harvard Business... View Details
      Keywords: Negotiation; Auctions; Strategy; Competition; Markets; Negotiation Deal
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      Subramanian, Guhan. Dealmaking: The New Strategy of Negotiauctions. 2nd edition. New York: W. W. Norton & Company, 2020.
      • Article

      Matching in Networks with Bilateral Contracts: Corrigendum

      By: John William Hatfield, Ravi Jagadeesan and Scott Duke Kominers
      Hatfield and Kominers (2012) introduced a model of matching in networks with bilateral contracts and showed that stable outcomes exist in supply chains when firms' preferences over contracts are fully substitutable. Hatfield and Kominers (2012) also asserted that in... View Details
      Keywords: Matching With Contracts; Substitutability; Mathematical Methods
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      Hatfield, John William, Ravi Jagadeesan, and Scott Duke Kominers. "Matching in Networks with Bilateral Contracts: Corrigendum." American Economic Journal: Microeconomics 12, no. 3 (August 2020): 277–285.
      • Article

      The Importance of Being Causal

      By: Iavor I Bojinov, Albert Chen and Min Liu
      Causal inference is the study of how actions, interventions, or treatments affect outcomes of interest. The methods that have received the lion’s share of attention in the data science literature for establishing causation are variations of randomized experiments.... View Details
      Keywords: Causal Inference; Observational Studies; Cross-sectional Studies; Panel Studies; Interrupted Time-series; Instrumental Variables
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      Bojinov, Iavor I., Albert Chen, and Min Liu. "The Importance of Being Causal." Harvard Data Science Review 2.3 (July 30, 2020).
      • July 2020
      • Case

      Mortgage Backed Securities and the Covid-19 Pandemic

      By: Emil N. Siriwardane, Luis M. Viceira and Dean Xu
      In April 2020, global financial markets were still reeling as the COVID-19 pandemic spread rapidly across the world. Global equity markets had initially fallen by 30% in response to the pandemic, and high-yield credit markets had dropped by nearly 20%. In contrast,... View Details
      Keywords: COVID-19; Mortgage-backed Securities; Health Pandemics; Financial Markets; Assets; Resource Allocation; Financial Instruments; Decision Making
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      Siriwardane, Emil N., Luis M. Viceira, and Dean Xu. "Mortgage Backed Securities and the Covid-19 Pandemic." Harvard Business School Case 221-010, July 2020.
      • Article

      Oracle Efficient Private Non-Convex Optimization

      By: Seth Neel, Aaron Leon Roth, Giuseppe Vietri and Zhiwei Steven Wu
      One of the most effective algorithms for differentially private learning and optimization is objective perturbation. This technique augments a given optimization problem (e.g. deriving from an ERM problem) with a random linear term, and then exactly solves it.... View Details
      Keywords: Machine Learning; Algorithms; Objective Perturbation; Mathematical Methods
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      Neel, Seth, Aaron Leon Roth, Giuseppe Vietri, and Zhiwei Steven Wu. "Oracle Efficient Private Non-Convex Optimization." Proceedings of the International Conference on Machine Learning (ICML) 37th (2020).
      • Article

      Active World Model Learning with Progress Curiosity

      By: Kuno Kim, Megumi Sano, Julian De Freitas, Nick Haber and Daniel Yamins
      World models are self-supervised predictive models of how the world evolves. Humans learn world models by curiously exploring their environment, in the process acquiring compact abstractions of high bandwidth sensory inputs, the ability to plan across long temporal... View Details
      Keywords: World Models; Mathematical Methods
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      Kim, Kuno, Megumi Sano, Julian De Freitas, Nick Haber, and Daniel Yamins. "Active World Model Learning with Progress Curiosity." Proceedings of the International Conference on Machine Learning (ICML) 37th (2020).
      • 2024
      • Working Paper

      Cephalosporins—Fighting Hospital Infections: Case Histories of Transformational Advances

      By: Amar Bhidé, Srikant Datar and Katherine Stebbins
      This case history describes the development of three generations of cephalosporins – antibiotics that have significantly reduced hospital infections. Specifically, we chronicle how: 1) Early (pre-cephalosporin) antibiotics were developed in the first half of the 20th... View Details
      Keywords: Health Care and Treatment; Technological Innovation; Innovation Strategy; Technology Adoption; Collaborative Innovation and Invention; Innovation and Invention; Governing Rules, Regulations, and Reforms
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      Bhidé, Amar, Srikant Datar, and Katherine Stebbins. "Cephalosporins—Fighting Hospital Infections: Case Histories of Transformational Advances." Harvard Business School Working Paper, No. 20-133, July 2020. (Revised May 2024.)
      • 2024
      • Working Paper

      Prozac—Controversial Blockbuster: Case Histories of Transformational Advances

      By: Amar Bhidé, Srikant M. Datar and Katherine Stebbins
      This case history describes the development of Prozac, a blockbuster drug that transformed the treatment of depression – and became a cultural phenomenon in the United States. Specifically, we chronicle the: 1) prior treatments for depression and the research that... View Details
      Keywords: Health Care and Treatment; Technological Innovation; Innovation Strategy; Technology Adoption; Collaborative Innovation and Invention; Innovation and Invention; Governing Rules, Regulations, and Reforms
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      Bhidé, Amar, Srikant M. Datar, and Katherine Stebbins. "Prozac—Controversial Blockbuster: Case Histories of Transformational Advances." Harvard Business School Working Paper, No. 20-135, July 2020. (Revised May 2024.)
      • June 2020
      • Teaching Note

      Understanding the Brand Equity of Nestlé Crunch Bar

      By: Jill Avery and Gerald Zaltman
      Teaching Note for HBS Case Nos. 519-061 and 519-062. In early 2018, Nestlé announced the sale of its U.S. candy-making division and a select collection of twenty of its confectionery brands, including the Nestlé Crunch Bar, to Ferrero SpA for $2.8 billion. Under the... View Details
      Keywords: Brand Management; Brand Storytelling; Brand Equity; Market Research; Qualitative Methods; Marketing; Brands and Branding; Marketing Communications; Consumer Behavior; Marketing Strategy; Food and Beverage Industry
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      Avery, Jill, and Gerald Zaltman. "Understanding the Brand Equity of Nestlé Crunch Bar." Harvard Business School Teaching Note 520-124, June 2020.
      • 2021
      • Conference Presentation

      An Algorithmic Framework for Fairness Elicitation

      By: Christopher Jung, Michael J. Kearns, Seth Neel, Aaron Leon Roth, Logan Stapleton and Zhiwei Steven Wu
      We consider settings in which the right notion of fairness is not captured by simple mathematical definitions (such as equality of error rates across groups), but might be more complex and nuanced and thus require elicitation from individual or collective stakeholders.... View Details
      Keywords: Algorithmic Fairness; Machine Learning; Fairness; Framework; Mathematical Methods
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      Jung, Christopher, Michael J. Kearns, Seth Neel, Aaron Leon Roth, Logan Stapleton, and Zhiwei Steven Wu. "An Algorithmic Framework for Fairness Elicitation." Paper presented at the 2nd Symposium on Foundations of Responsible Computing (FORC), 2021.
      • May 2020
      • Teaching Note

      Bayer Crop Science

      By: David E. Bell, Michael Norris and Mel Martin
      Teaching Note for HBS Case No. 520-055. View Details
      Keywords: Plant-Based Agribusiness; Research and Development; Mergers and Acquisitions; Consolidation; Innovation and Invention; Strategy; Agriculture and Agribusiness Industry; Technology Industry; United States; Germany
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      Bell, David E., Michael Norris, and Mel Martin. "Bayer Crop Science." Harvard Business School Teaching Note 520-067, May 2020.
      • May 2020
      • Case

      Numenta in 2020: The Future of AI

      By: David B. Yoffie, Cameron Armstrong, Mei Tao and Marta Zwierz
      In 2020, Numenta’s co-founder, Jeff Hawkins, completed his pathbreaking research on artificial intelligence. His co-founder and CEO, Donna Dubinsky, had to find a business model to monetize the technology. This case explores the challenges of building a business... View Details
      Keywords: Artificial Intelligence; Monetization; Information Technology; Strategy; Intellectual Property; Business Model; AI and Machine Learning; Technology Industry
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      Yoffie, David B., Cameron Armstrong, Mei Tao, and Marta Zwierz. "Numenta in 2020: The Future of AI." Harvard Business School Case 720-463, May 2020.
      • May 2020
      • Article

      Identifying Sources of Inefficiency in Health Care

      By: Amitabh Chandra and Douglas O. Staiger
      In medicine, the reasons for variation in treatment rates across hospitals serving similar patients are not well understood. Some interpret this variation as unwarranted and push standardization of care as a way of reducing allocative inefficiency. However, an... View Details
      Keywords: Health Care and Treatment; Performance Efficiency; Performance Productivity; Mathematical Methods
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      Chandra, Amitabh, and Douglas O. Staiger. "Identifying Sources of Inefficiency in Health Care." Quarterly Journal of Economics 135, no. 2 (May 2020): 785–843.
      • May 2020
      • Article

      Into the Fray: Adaptive Approaches to Studying Novel Teamwork Forms

      By: Michaela Kerrissey, Patricia Satterstrom and Amy C. Edmondson
      Novel forms of teamwork—created by rapid change and growing diversity among collaborators—are increasingly common, and they present substantial methodological challenges for research. We highlight two aspects of new team forms that challenge conventional methods.... View Details
      Keywords: Team Member Fluidity; Temporary Teams; Knowledge Diversity; Entitativity; Concordance; Methods; Groups and Teams; Problems and Challenges; Research
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      Kerrissey, Michaela, Patricia Satterstrom, and Amy C. Edmondson. "Into the Fray: Adaptive Approaches to Studying Novel Teamwork Forms." Special Issue on The Challenges of Working with "Real" Teams. Organizational Psychology Review 10, no. 2 (May 2020): 62–86.
      • May 2020
      • Article

      Inventory Auditing and Replenishment Using Point-of-Sales Data

      By: Achal Bassamboo, Antonio Moreno and Ioannis Stamatopoulos
      Spoilage, expiration, damage due to employee/customer handling, employee theft, and customer shoplifting usually are not reflected in inventory records. As a result, records often report phantom inventory, i.e., units of good not available for sale. We derive an... View Details
      Keywords: Shelf Availability; Inventory Record Inaccuracy; Optimal Replenishment; Retail Analytics; Performance Effectiveness; Analysis; Mathematical Methods
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      Bassamboo, Achal, Antonio Moreno, and Ioannis Stamatopoulos. "Inventory Auditing and Replenishment Using Point-of-Sales Data." Production and Operations Management 29, no. 5 (May 2020): 1219–1231.
      • Article

      The Price of Anarchy of Self-Selection in Tullock Contests

      By: Hau Chan, David C. Parkes and Karim R. Lakhani
      Crowdsourcing platforms operate by offering their clients the ability to obtain cost-effective solutions for their problems through contests. The top contestants with the best solutions are rewarded, and the submitted solutions are provided to the clients. Within the... View Details
      Keywords: Crowdsourcing Contests; Game Theory
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      Chan, Hau, David C. Parkes, and Karim R. Lakhani. "The Price of Anarchy of Self-Selection in Tullock Contests." Proceedings of the International Conference on Autonomous Agents and Multiagent Systems (AAMAS) 19th (2020): 1795–1797.
      • 2020
      • Working Paper

      Demystifying the Math of the Coronavirus

      By: Elon Kohlberg and Abraham Neyman
      We provide an elementary mathematical description of the spread of the coronavirus. We explain two fundamental relationships: How the rate of growth in new infections is determined by the “effective reproductive number” and how the effective reproductive number is... View Details
      Keywords: Coronavirus; Health Pandemics; Mathematical Methods
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      Kohlberg, Elon, and Abraham Neyman. "Demystifying the Math of the Coronavirus." Harvard Business School Working Paper, No. 20-112, April 2020. (Revised May 2020.)
      • April 2020
      • Article

      Collective Emotions

      By: Amit Goldenberg, David Garcia, Eran Halperin and James J. Gross
      When analyzing situations in which multiple people are experiencing emotions together—whether the emotions are positive or negative and whether the situations are online or offline—we are intuitively drawn to the emotions of each individual in the situation. However,... View Details
      Keywords: Emotions; Social Psychology
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      Goldenberg, Amit, David Garcia, Eran Halperin, and James J. Gross. "Collective Emotions." Current Directions in Psychological Science 29, no. 2 (April 2020): 154–160.
      • March 2020
      • Case

      A Tower for the People: 425 Park Avenue

      By: John Macomber, Joseph G. Allen and Emily Jones
      Healthy buildings and superior air quality are increasingly important since people now spend so much time indoors. Indoor spaces drive performance and productivity. Commercial real estate landlords and investors are responding to the demands of sophisticated tenants... View Details
      Keywords: Health And Wellness; Real Estate; Sustainability; Health; Pollution; Buildings and Facilities; Performance Productivity; Finance; Real Estate Industry; New York (city, NY)
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      Macomber, John, Joseph G. Allen, and Emily Jones. "A Tower for the People: 425 Park Avenue." Harvard Business School Case 220-065, March 2020.
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