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Show Results For
- All HBS Web
(707)
- People (2)
- News (80)
- Research (508)
- Events (10)
- Multimedia (8)
- Faculty Publications (377)
- 17 Feb 2020
- Sharpening Your Skills
How Entrepreneurs Can Find the Right Problem to Solve
for a fully built-out prototype. The customer won’t know that you are working behind the scenes to simulate the experience. A former student of mine with a software engineering background resisted the temptation to code a solution and... View Details
Keywords: by Julia Austin
- August 2018
- Article
Creative Sparks or Paralysis Traps? The Effects of Contradictions on Creative Processing and Creative Products
By: Goran Calic and Sébastien Hélie
Paradoxes are an unavoidable part of work life. The unusualness of attempting to simultaneously satisfy contradictory imperatives can result in creative outcomes that simultaneously satisfy both imperatives by inducing search for, and selection of, novel and useful... View Details
Calic, Goran, and Sébastien Hélie. "Creative Sparks or Paralysis Traps? The Effects of Contradictions on Creative Processing and Creative Products." Art. 1489. Frontiers in Psychology 9 (August 2018).
- 2011
- Article
Scalable Detection of Anomalous Patterns With Connectivity Constraints
By: Skyler Speakman, Edward McFowland III and Daniel B. Neill
We present GraphScan, a novel method for detecting arbitrarily shaped connected clusters in graph or network data. Given a graph structure, data observed at each node, and a score function defining the anomalousness of a set of nodes, GraphScan can efficiently and... View Details
- March 2022
- Article
Where to Locate COVID-19 Mass Vaccination Facilities?
By: Dimitris Bertsimas, Vassilis Digalakis Jr, Alexander Jacquillat, Michael Lingzhi Li and Alessandro Previero
The outbreak of COVID-19 led to a record-breaking race to develop a vaccine. However, the limited vaccine capacity creates another massive challenge: how to distribute vaccines to mitigate the near-end impact of the pandemic? In the United States in particular, the new... View Details
Keywords: Vaccines; COVID-19; Health Care and Treatment; Health Pandemics; Performance Effectiveness; Analytics and Data Science; Mathematical Methods
Bertsimas, Dimitris, Vassilis Digalakis Jr, Alexander Jacquillat, Michael Lingzhi Li, and Alessandro Previero. "Where to Locate COVID-19 Mass Vaccination Facilities?" Naval Research Logistics Quarterly 69, no. 2 (March 2022): 179–200.
- Article
Matriarch: A Python Library for Materials Architecture
By: Tristan Giesa, Ravi Jagadeesan, David I. Spivak and Markus J. Buehler
Biological materials, such as proteins, often have a hierarchical structure ranging from basic building blocks at the nanoscale (e.g., amino acids) to assembled structures at the macroscale (e.g., fibers). Current software for materials engineering allows the user to... View Details
Keywords: Building Block; Category Theory; Hierarchical Protein Materials; Molecular Design; Open-Source Software; Structure Creation
Giesa, Tristan, Ravi Jagadeesan, David I. Spivak, and Markus J. Buehler. "Matriarch: A Python Library for Materials Architecture." ACS Biomaterials Science & Engineering 1, no. 10 (October 2015): 1009–1015.
- 2025
- Working Paper
Discrimination, Rejection, and Job Search
By: Anne Boring, Katherine Coffman, Dylan Glover and María José González-Fuentes
We investigate how candidates’ willingness to apply responds to (potential) discrimination and rejection using a simulated labor market. Past work has shown that “blinding” job applications reduces discrimination and increases the rate at which women are hired. Our... View Details
Boring, Anne, Katherine Coffman, Dylan Glover, and María José González-Fuentes. "Discrimination, Rejection, and Job Search." Working Paper, February 2025.
- November–December 2023
- Article
Network Centralization and Collective Adaptability to a Shifting Environment
By: Ethan S. Bernstein, Jesse C. Shore and Alice J. Jang
We study the connection between communication network structure and an organization’s collective adaptability to a shifting environment. Research has shown that network centralization—the degree to which communication flows disproportionately through one or more... View Details
Keywords: Network Centralization; Collective Intelligence; Organizational Change and Adaptation; Organizational Structure; Communication; Decision Making; Networks; Adaptation
Bernstein, Ethan S., Jesse C. Shore, and Alice J. Jang. "Network Centralization and Collective Adaptability to a Shifting Environment." Organization Science 34, no. 6 (November–December 2023): 2064–2096.
- 2015
- Article
Scalable Detection of Anomalous Patterns With Connectivity Constraints
By: Skyler Speakman, Edward McFowland III and Daniel B. Neill
We present GraphScan, a novel method for detecting arbitrarily shaped connected clusters in graph or network data. Given a graph structure, data observed at each node, and a score function defining the anomalousness of a set of nodes, GraphScan can efficiently and... View Details
Speakman, Skyler, Edward McFowland III, and Daniel B. Neill. "Scalable Detection of Anomalous Patterns With Connectivity Constraints." Journal of Computational and Graphical Statistics 24, no. 4 (2015): 1014–1033.
- 2019
- Working Paper
Thinking Outside the Box (12): The Benefits of Increased Transparency in Employer-Sponsored Health Insurance for the 180 Million Insured
By: Regina E. Herzlinger and Barak D. Richman
Economists have long noted that the tax exclusion of employer-sponsored insurance (ESI) caused workers to purchase health plans that differ in price and other characteristics from those they would otherwise choose for themselves. We explore the short-term and long-term... View Details
Keywords: After-tax Income; Consumer-driven Health Care; Health Care Costs; Health Insurance; Income Inequality; Tax Policy; Health Care and Treatment; Cost; Insurance; Income; Equality and Inequality; Taxation; Policy; United States
Herzlinger, Regina E., and Barak D. Richman. "Thinking Outside the Box (12): The Benefits of Increased Transparency in Employer-Sponsored Health Insurance for the 180 Million Insured." Duke Law School Public Law & Legal Theory Series, No. 2020-4, December 2019.
- 15 Aug 2023
- HBS Case
(Virtual) Reality Check: How Long Before We Live in the 'Metaverse'?
coordinating all the pieces of the ecosystem,” he says. “It's not just a matter of a headset. You also have to have content like games or simulations or social media interaction platforms. We still haven't seen what that killer app is... View Details
- Article
Spending Variation Among ACOs in the Medicare Shared Savings Program
By: Michael Anne Kyle, J. Michael McWilliams, Mary Beth Landrum, Bruce E. Landon, Paul Trompke, David J. Nyweide and Michael E. Chernew
OBJECTIVES: Understanding variation in spending across organizations, rather than across geographic areas, is important because care is delivered by organizations and interventions increasingly focus on organizations. Accountable care organizations (ACOs) are... View Details
Keywords: Medicare; Accountable Care Organizations; ACOs; Health Care and Treatment; Spending; Analysis
Kyle, Michael Anne, J. Michael McWilliams, Mary Beth Landrum, Bruce E. Landon, Paul Trompke, David J. Nyweide, and Michael E. Chernew. "Spending Variation Among ACOs in the Medicare Shared Savings Program." American Journal of Managed Care 26, no. 4 (April 2020): 170–175.
Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem
Combining machine learning with econometric analysis is becoming increasingly prevalent in both research and practice. A common empirical strategy involves the application of predictive modeling techniques to "mine" variables of interest from available data,... View Details
- October–December 2022
- Article
Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem
By: Mochen Yang, Edward McFowland III, Gordon Burtch and Gediminas Adomavicius
Combining machine learning with econometric analysis is becoming increasingly prevalent in both research and practice. A common empirical strategy involves the application of predictive modeling techniques to "mine" variables of interest from available data, followed... View Details
Keywords: Machine Learning; Econometric Analysis; Instrumental Variable; Random Forest; Causal Inference; AI and Machine Learning; Forecasting and Prediction
Yang, Mochen, Edward McFowland III, Gordon Burtch, and Gediminas Adomavicius. "Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem." INFORMS Journal on Data Science 1, no. 2 (October–December 2022): 138–155.
- 2021
- Working Paper
Supply- and Demand-Side Effects in Performance Appraisals: The Role of Gender and Race
By: Iris Bohnet, Oliver P. Hauser and Ariella Kristal
Performance reviews in firms are common but controversial. Managers’ subjective appraisals of their employees’ performance and employees’ self-evaluations might be affected by demographic characteristics, interact with each other as self-evaluations are typically... View Details
Bohnet, Iris, Oliver P. Hauser, and Ariella Kristal. "Supply- and Demand-Side Effects in Performance Appraisals: The Role of Gender and Race." HKS Faculty Research Working Paper Series, No. RWP21-016, May 2021.
- 10 Dec 2012
- Working Paper Summaries
Vulnerable Banks
- January–February 2013
- Article
Fairness, Efficiency and Flexibility in Organ Allocation for Kidney Transplantation
By: Dimitris Bertsimas, Vivek F. Farias and Nikolaos Trichakis
We propose a scalable, data-driven method for designing national policies for the allocation of deceased donor kidneys to patients on a waiting list, in a fair and efficient way. We focus on policies that have the same form as the one currently used in the United... View Details
Keywords: Health Care Policy; Healthcare; Fairness; Resource Allocation; Policy; Health Care and Treatment; Medical Specialties; Health Industry; United States
Bertsimas, Dimitris, Vivek F. Farias, and Nikolaos Trichakis. "Fairness, Efficiency and Flexibility in Organ Allocation for Kidney Transplantation." Operations Research 61, no. 1 (January–February 2013): 73–87.
- January 2009
- Journal Article
The Fiscal Impact of High-skilled Emigration: Flows of Indians to the U.S.
By: Mihir Desai, D. Kapur, J. McHale and K Rogers
Easing immigration restrictions for the highly skilled in developed countries portends a future of increased human capital outflows from developing countries. The myriad consequences of these developments for developing countries include the direct loss of the fiscal... View Details
Keywords: Talent and Talent Management; Diasporas; Developing Countries and Economies; Taxation; Compensation and Benefits; Human Capital; Mathematical Methods; India; United States
Desai, Mihir, D. Kapur, J. McHale, and K Rogers. "The Fiscal Impact of High-skilled Emigration: Flows of Indians to the U.S." Journal of Development Economics 88, no. 1 (January 2009).
- 10 Jan 2018
- Blog Post
8 Tips to Help You Prepare for the Case Method
graduation, I hope to continue pursuing my passion while focusing on the building and scaling of innovative products in the renewable energy space. About the Case Method The case method is at the core of the HBS academic experience. In its simplest form, each case is... View Details
- 30 Sep 2002
- Research & Ideas
Your Crisis Response Plan: The Ten Effective Elements
augmented private security. The best plans are worthless if they exist only on paper. There needs to be regular, at least biannual, exercises.— Michael Watkins 9. Regular simulation exercises. The best plans are worthless if they exist... View Details
Keywords: by Michael Watkins
- 2011
- Working Paper
Fairness, Efficiency and Flexibility in Organ Allocation for Kidney Transplantation
By: Dimitris Bertsimas, Vivek F. Farias and Nikolaos Trichakis
We propose a scalable, data-driven method for designing national policies for the allocation of deceased donor kidneys to patients on a waiting list, in a fair and efficient way. We focus on policies that have the same form as the one currently used in the U.S. In... View Details
Keywords: Fairness; Policy; Health Disorders; Marketplace Matching; Performance Effectiveness; Rank and Position; Health Industry; United States
Bertsimas, Dimitris, Vivek F. Farias, and Nikolaos Trichakis. "Fairness, Efficiency and Flexibility in Organ Allocation for Kidney Transplantation." Harvard Business School Working Paper, No. 12-025, October 2011.