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Publications

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  • All HBS Web  (969)
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    • Events  (8)
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  • All HBS Web  (969)
    • News  (131)
    • Research  (716)
    • Events  (8)
    • Multimedia  (4)
  • Faculty Publications  (547)
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  • Web

Tools & Services | Information Technology

applications and technology products to bring teaching and learning experiences to life. Learning Management Learn more about the HBS Learning Management System services. Polling & Surveys Explore tools to collect and report on data for... View Details
  • Career Coach

Alan Braly

and deploy analytics tools based on real world data sources. He began his career in implantable medical device research and development at Medtronic. Work Experience: Foundation Medicine (Senior Director);... View Details
  • February 2021
  • Article

Testing the Waters: Behavior across Participant Pools

By: Erik Snowberg and Leeat Yariv
We leverage a large-scale incentivized survey eliciting behaviors from (almost) an entire university student population, a representative sample of the U.S. population, and Amazon Mechanical Turk (MTurk) to address concerns about the external validity of experiments... View Details
Keywords: Lab Selection; External Validity; Experiments; Behavior; Surveys; Analytics and Data Science; Analysis
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Snowberg, Erik, and Leeat Yariv. "Testing the Waters: Behavior across Participant Pools." American Economic Review 111, no. 2 (February 2021): 687–719.
  • April 1996 (Revised June 1996)
  • Background Note

Cleveland Turnaround (C), The: Facts and Figures

By: James E. Austin and Jaan Elias
Traces the Cleveland community's efforts to move the city from economic, social, and political crisis in the late 1970s into revitalization and progress in the 1980s and 1990s. Special attention is given to the role of business leaders and the public-private... View Details
Keywords: Leading Change; Analytics and Data Science; Economic Growth; Business and Community Relations; Cleveland
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Austin, James E., and Jaan Elias. "Cleveland Turnaround (C), The: Facts and Figures." Harvard Business School Background Note 796-153, April 1996. (Revised June 1996.)
  • 25 Aug 2022
  • News

3-Minute Briefing: Arnon Mishkin (MBA 1989)

in college was mathematics. I’m really interested in politics, and I’m really interested in analytic thinking. Data journalism feels like the ultimate place where politics and math meet. For a while I worked... View Details
Keywords: elections; consulting; analysis; polls
  • 01 Sep 2014
  • News

Ask the Expert: Byte-Testing Bitcoin

that will make anonymity an afterthought. I think the Bitcoin public ledger will eventually hold so much valuable information that some very interesting analytics companies are going to emerge to make sense of the data. Has there ever... View Details
Keywords: alumni; Data Processing, Hosting, and Related Services; Data Processing, Hosting, and Related Services
  • 01 Jun 2018
  • News

Floor It

coming out of labs over the next 10 years will surpass anything we’ve experienced in the past,” says HBS senior fellow Richard Hamermesh, who co-chairs the accelerator with Kathy Giusti (MBA 1985). “Looking ahead, we expect to have the ecosystem in place to improve... View Details
Keywords: Julia Hanna; illustration by Mengxin Li
  • 25 Feb 2020
  • News

How Artificial Intelligence is Changing Business

algorithms to analyze radiology scans, applying quantitative analytics to marketing movies, and analyzing sales data from an online flash retail site to develop a better pricing model. The teaching and... View Details
Keywords: Susan Young
  • 20 Oct 2016
  • News

Smart Moves

provider of a whole range of services—parking, fuel-price data, intermodal routing—centered on the connected car. Although the majority of our data comes directly from consumers—think of it as crowd sourcing of traffic information—we’re... View Details
Keywords: Robert S. Benchley; Support Activities for Transportation; Transportation
  • 2014
  • Working Paper

Search-Based Peer Firms: Aggregating Investor Perceptions Through Internet Co-Searches

By: Charles M.C. Lee, Paul Ma and Charles C.Y. Wang
Applying a "co-search" algorithm to Internet traffic at the SEC's EDGAR web-site, we develop a novel method for identifying economically-related peer firms and for measuring their relative importance. Our results show that firms appearing in chronologically adjacent... View Details
Keywords: Peer Firm; EDGAR Search Traffic; Revealed Preference; Co-search; Industry Classification; Analytics and Data Science; Internet and the Web; Mathematical Methods; Corporate Finance
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Lee, Charles M.C., Paul Ma, and Charles C.Y. Wang. "Search-Based Peer Firms: Aggregating Investor Perceptions Through Internet Co-Searches." Harvard Business School Working Paper, No. 13-048, November 2012. (Revised September 2013, March 2014, June 2014, July 2014.)
  • March–April 2022
  • Article

Uncovering the Mitigating Psychological Response to Monitoring Technologies: Police Body Cameras Not Only Constrain but Also Depolarize

By: Shefali V. Patil and Ethan Bernstein
Despite organizational psychologists’ long-standing caution against monitoring (citing its reduction in employee autonomy and thus effectiveness), many organizations continue to use it, often with no detriment to performance and with strong support, not protest, from... View Details
Keywords: Monitoring; Transparency; Polarization; Body Worn Cameras; Quasi Field Experiment; Analytics and Data Science; Employees; Perception; Law Enforcement
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Patil, Shefali V., and Ethan Bernstein. "Uncovering the Mitigating Psychological Response to Monitoring Technologies: Police Body Cameras Not Only Constrain but Also Depolarize." Organization Science 33, no. 2 (March–April 2022): 541–570. (*The authors contributed equally to this manuscript.)
  • October 1994
  • Article

When Worlds Collide: The Implications of Panel Data-Based Choice Models for Consumer Behavior

By: R. S. Winer, R.E. Bucklin, J. A. Deighton, J. Erdem, P.S. Fader, J.J. Inman, H. Katahira, Katherine N. Lemon and A. Mitchell
Keywords: Analytics and Data Science; Consumer Behavior; Decision Choices and Conditions
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Winer, R. S., R.E. Bucklin, J. A. Deighton, J. Erdem, P.S. Fader, J.J. Inman, H. Katahira, Katherine N. Lemon, and A. Mitchell. "When Worlds Collide: The Implications of Panel Data-Based Choice Models for Consumer Behavior." Marketing Letters 5, no. 4 (October 1994).
  • 2022
  • Article

Which Explanation Should I Choose? A Function Approximation Perspective to Characterizing Post hoc Explanations

By: Tessa Han, Suraj Srinivas and Himabindu Lakkaraju
A critical problem in the field of post hoc explainability is the lack of a common foundational goal among methods. For example, some methods are motivated by function approximation, some by game theoretic notions, and some by obtaining clean visualizations. This... View Details
Keywords: Mathematical Methods; Decision Choices and Conditions; Analytics and Data Science
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Han, Tessa, Suraj Srinivas, and Himabindu Lakkaraju. "Which Explanation Should I Choose? A Function Approximation Perspective to Characterizing Post hoc Explanations." Advances in Neural Information Processing Systems (NeurIPS) (2022). (Best Paper Award, International Conference on Machine Learning (ICML) Workshop on Interpretable ML in Healthcare.)
  • 2022
  • Article

Fairness via Explanation Quality: Evaluating Disparities in the Quality of Post hoc Explanations

By: Jessica Dai, Sohini Upadhyay, Ulrich Aivodji, Stephen Bach and Himabindu Lakkaraju
As post hoc explanation methods are increasingly being leveraged to explain complex models in high-stakes settings, it becomes critical to ensure that the quality of the resulting explanations is consistently high across all subgroups of a population. For instance, it... View Details
Keywords: Prejudice and Bias; Mathematical Methods; Research; Analytics and Data Science
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Dai, Jessica, Sohini Upadhyay, Ulrich Aivodji, Stephen Bach, and Himabindu Lakkaraju. "Fairness via Explanation Quality: Evaluating Disparities in the Quality of Post hoc Explanations." Proceedings of the AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society (2022): 203–214.
  • 26 Feb 2018
  • News

Teaching Farmers New Tricks of the Trade

Erik Malmstrom (MBA 2012) is general manager of crop marketing for the Farmers Business Network in California. In this video, he describes how the organization is helping transform the agriculture space using data View Details
  • Fast Answer

Real Estate Prices by City

How to find office & residential rental prices by major city worldwide. You may begin with: Moody’s Analytics CRE - Search millions of real estate data points that cover every commercially... View Details
  • February 2023
  • Article

National Models of Climate Governance Among Major Emitters

By: Johnathan Guy, Esther Shears and Jonas Meckling
National climate institutions structure the process of climate mitigation policymaking and shape climate policy ambition and performance. Countries have, for example, been building science bodies, passing climate laws and creating new agencies. Here we provide the... View Details
Keywords: Environmental Regulation; Policy; Analytics and Data Science; Climate Change
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Guy, Johnathan, Esther Shears, and Jonas Meckling. "National Models of Climate Governance Among Major Emitters." Nature Climate Change 13, no. 2 (February 2023): 189–195.
  • Fast Answer

Home sales (existing)

How do I find data on existing home sales and prices? Moody’s Analytics CRE allows you to search millions of real estate data points that cover every commercially... View Details
  • Web

Mohammed Guerrab | MBA

interest: Cloud, AI and ML, Digital health, Data science Formative experience at the intersection of technology and business: This past academic year, I worked with the Harvard Data View Details
  • January–February 2023
  • Article

Forecasting COVID-19 and Analyzing the Effect of Government Interventions

By: Michael Lingzhi Li, Hamza Tazi Bouardi, Omar Skali Lami, Thomas Trikalinos, Nikolaos Trichakis and Dimitris Bertsimas
We developed DELPHI, a novel epidemiological model for predicting detected cases and deaths in the prevaccination era of the COVID-19 pandemic. The model allows for underdetection of infections and effects of government interventions. We have applied DELPHI across more... View Details
Keywords: COVID-19 Pandemic; Epidemics; Analytics and Data Science; Health Pandemics; AI and Machine Learning; Forecasting and Prediction
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Li, Michael Lingzhi, Hamza Tazi Bouardi, Omar Skali Lami, Thomas Trikalinos, Nikolaos Trichakis, and Dimitris Bertsimas. "Forecasting COVID-19 and Analyzing the Effect of Government Interventions." Operations Research 71, no. 1 (January–February 2023): 184–201.
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