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Show Results For
- All HBS Web
(6,920)
- News (1,269)
- Research (4,453)
- Events (116)
- Multimedia (73)
- Faculty Publications (3,094)
- 01 Mar 2016
- News
Research Brief: The Benefits of Bias
specialized expertise to the process—which some worry might create subject-area bias in the decision-making process and affect the quality of research. Assistant Professor Danielle Li takes a mathematical approach to examining this issue in a recent HBS working paper,... View Details
Keywords: Erin Peterson
- 01 Dec 2018
- News
Averting Crisis
Project (BFFS), conceived at HBS and launched in July 2016, aims to use data to predict—and maybe prevent—future financial crises. A database of financial stability and investor sentiment measures is published in real time on the BFFS... View Details
- 06 Dec 2018
- News
Source Code
data to find patterns and build an algorithm based on that data. But even with the seeming data dominance, the toddler who’s seen a few dogs has an advantage over the algorithm that has seen millions, says... View Details
- 15 Nov 2018
- News
Don’t Be Afraid of AI
they're really disassociated from the brain and the brain's neuroanatomy. They are very focused on what is really decades old algorithms that they have advanced and applied data and applied technology to solve some very big problems. But,... View Details
- 19 Oct 2012
- News
Past and Present
Sullivan: Fulfilling an age-old human curiosity. Photo courtesy Ancestry.com For Tim Sullivan (MBA 1991), the case method was the perfect way to learn. Sullivan, who is president and CEO of Ancestry.com—the world’s largest online family-history resource—has always been... View Details
- May 2020
- Article
Scalable Holistic Linear Regression
By: Dimitris Bertsimas and Michael Lingzhi Li
We propose a new scalable algorithm for holistic linear regression building on Bertsimas & King (2016). Specifically, we develop new theory to model significance and multicollinearity as lazy constraints rather than checking the conditions iteratively. The resulting... View Details
Bertsimas, Dimitris, and Michael Lingzhi Li. "Scalable Holistic Linear Regression." Operations Research Letters 48, no. 3 (May 2020): 203–208.
- Research Summary
Overview
The overarching goal of my research is to produce works that are influential and informative to both academics and practitioners in the field of operations management. To accomplish this, I collaborate with industry partners who provide knowledge about their field,... View Details
- 01 Mar 2006
- News
Using IT to Heal U.S. Health Care
2004. Brailer’s mission is to give every American an electronic health-care record by 2014 and to link those records to a national medical data network. “It’s time to put health information technology center stage,” Brailer told some 300... View Details
- 01 Sep 2014
- News
Ask the Expert: Byte-Testing Bitcoin
Crypto-currency expert Santiago Subotovsky (MBA 2009), principal at Emergence Capital Partners, fields alumni questions on Bitcoin—a digital, virtual, and unregulated currency that allows for anonymous transactions and has quickly moved from the tech underground to the... View Details
- November 1996
- Article
Localized Autocorrelation Diagnostic Statistic for Sociological Models: Times-series, Network, and Spatial Datasets
By: C. I. Nass and Y. Moon
Nass, C. I., and Y. Moon. "Localized Autocorrelation Diagnostic Statistic for Sociological Models: Times-series, Network, and Spatial Datasets." Sociological Methods & Research 25, no. 2 (November 1996): 223–247.
- February 2011
- Supplement
Dataset for "Slots, Tables, and All That Jazz: Managing Customer Profitability at the MGM Grand Hotel" (CW)
By: Dennis Campbell and Francisco de Asis Martinez-Jerez
Datasets of gaming and hotel customers to perform analysis for the case. View Details
- March 2023
- Supplement
Allianz Türkiye (C): Managing the 2017 Hail Storm
By: John D. Macomber and Fares Khrais
Allianz Turkey is a property casualty insurance company operating in a region experiencing increasing losses from natural catastrophe events related to climate change, for example hail, wildfire, and flooding. There are also substantial other natural catastrophe... View Details
Keywords: Insurance And Reinsurance; Natural Disasters; Turkey; Insurance; Climate Change; Analytics and Data Science; Insurance Industry; Financial Services Industry; Turkey
Macomber, John D., and Fares Khrais. "Allianz Türkiye (C): Managing the 2017 Hail Storm." Harvard Business School Supplement 223-084, March 2023.
- March 2023 (Revised April 2024)
- Case
Allianz Türkiye: Adapting to Climate Change
By: John D. Macomber and Fares Khrais
Allianz Turkey is a property casualty insurance company operating in a region experiencing increasing losses from natural catastrophe events related to climate change, for example hail, wildfire, and flooding. There are also substantial other natural catastrophe... View Details
Keywords: Insurance And Reinsurance; Natural Disasters; Turkey; Insurance; Climate Change; Analytics and Data Science; Insurance Industry; Financial Services Industry; Turkey
Macomber, John D., and Fares Khrais. "Allianz Türkiye: Adapting to Climate Change." Harvard Business School Case 223-074, March 2023. (Revised April 2024.)
- October 2000 (Revised April 2003)
- Background Note
Project Finance Research, Data, and Information Sources
By: Benjamin C. Esty and Fuaad Qureshi
Documents the major sources of project finance research and data. It is to be a reference guide for MBA students writing for the elective curriculum course, Large-scale Investment, and for others interested in the field of project finance. View Details
Esty, Benjamin C., and Fuaad Qureshi. "Project Finance Research, Data, and Information Sources ." Harvard Business School Background Note 201-041, October 2000. (Revised April 2003.)
Zhongming Jiang
Zhongming Jiang is a first-year Ph.D. student in Marketing (Quantitative) at Harvard Business School. His research focuses on developing methodologies for Customer Relationship Management (CRM) that enable personalized interventions, dynamic customer... View Details
- January–February 2025
- Article
The Double-Edged Sword of Exemplar Similarity
By: Majid Majzoubi, Eric Zhao, Tiona Zuzul and Greg Fisher
We investigate how a firm’s positioning relative to category exemplars shapes security analysts’ evaluations. Using a two-stage model of evaluation (initial screening and subsequent assessment), we propose that exemplar similarity enhances a firm’s recognizability and... View Details
Majzoubi, Majid, Eric Zhao, Tiona Zuzul, and Greg Fisher. "The Double-Edged Sword of Exemplar Similarity." Organization Science 36, no. 1 (January–February 2025): 121–144.
- 2023
- Article
On Minimizing the Impact of Dataset Shifts on Actionable Explanations
By: Anna P. Meyer, Dan Ley, Suraj Srinivas and Himabindu Lakkaraju
The Right to Explanation is an important regulatory principle that allows individuals to request actionable explanations for algorithmic decisions. However, several technical challenges arise when providing such actionable explanations in practice. For instance, models... View Details
Meyer, Anna P., Dan Ley, Suraj Srinivas, and Himabindu Lakkaraju. "On Minimizing the Impact of Dataset Shifts on Actionable Explanations." Proceedings of the Conference on Uncertainty in Artificial Intelligence (UAI) 39th (2023): 1434–1444.
- 2020
- Working Paper
A General Theory of Identification
By: Iavor Bojinov and Guillaume Basse
What does it mean to say that a quantity is identifiable from the data? Statisticians seem to agree
on a definition in the context of parametric statistical models — roughly, a parameter θ in a model
P = {Pθ : θ ∈ Θ} is identifiable if the mapping θ 7→ Pθ is injective.... View Details
Bojinov, Iavor, and Guillaume Basse. "A General Theory of Identification." Harvard Business School Working Paper, No. 20-086, February 2020.
- 15 Aug 2017
- News
The Category Kingmaker
Photo via Profile Magazine Photo via Profile Magazine It seems that Keith Krach (MBA 1981) has never met a tech segment he didn’t like—or disrupt. Over a 35-year career, Krach has built four game-changing companies, in the fields of robotics, engineering software,... View Details