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Publications

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  • All HBS Web  (971)
    • News  (131)
    • Research  (717)
    • Events  (8)
    • Multimedia  (4)
  • Faculty Publications  (549)

Show Results For

  • All HBS Web  (971)
    • News  (131)
    • Research  (717)
    • Events  (8)
    • Multimedia  (4)
  • Faculty Publications  (549)
← Page 34 of 971 Results →
  • 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.
  • 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
  • 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.
  • 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
  • 18 Oct 2016
  • News

China, artificial intelligence, and Jim Breyer

partner level,” he said. “They are brilliant, work 100 hours a week and are intensely competitive.” When considering in which startups to invest capital, Breyer said if the company does not include an artificial intelligence data analysis... View Details
Keywords: Jennifer Myers
  • 1999
  • Article

Commercial Use of UPC Scanner Data: Industry and Academic Perspectives

By: Randolph E. Bucklin and Sunil Gupta
Keywords: Analytics and Data Science; Information Technology; Perspective; Education; Supply and Industry
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Bucklin, Randolph E., and Sunil Gupta. "Commercial Use of UPC Scanner Data: Industry and Academic Perspectives." Marketing Science 18, no. 3 (1999): 247–273.
  • 01 Jun 2013
  • News

Faculty Books

Professor Davenport and his coauthor offer practical tools to improve understanding of data analytics and enhance managerial thinking and decision-making, including the crucial skills of how to formulate a... View Details
Keywords: Publishing Industries (except Internet); Information
  • 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.)
  • 01 Sep 2017
  • News

@Soldiers Field

scuptures on loan to the School’s ongoing contemporary sculpture exhibition. The piece was inspired in part by an essay by Henry David Thoreau, who graduated from Harvard 180 summers ago. HBS will partner with Harvard’s SEAS and Department of Statistics to offer the... View Details
Keywords: YALP; Engineering Sciences; sculpture; Colleges, Universities, and Professional Schools; Educational Services
  • 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.
  • 2025
  • Working Paper

Using Satellites and Phones to Evaluate and Promote Agricultural Technology Adoption: Evidence from Smallholder Farms in India

By: Shawn Cole, Grady Killeen, Tomoko Harigaya and Aparna Krishna
This paper evaluates a low-cost, customized soil nutrient management advisory service in India. As a methodological contribution, we examine whether and in which settings satellite measurements may be effective at estimating both agricultural yields and treatment... View Details
Keywords: Performance Evaluation; Technology Adoption; Measurement and Metrics; Analytics and Data Science; Agriculture and Agribusiness Industry; India
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Cole, Shawn, Grady Killeen, Tomoko Harigaya, and Aparna Krishna. "Using Satellites and Phones to Evaluate and Promote Agricultural Technology Adoption: Evidence from Smallholder Farms in India." Harvard Business School Working Paper, No. 25-035, January 2025.
  • Fast Answer

Real estate finance

data, market intelligence, research, proprietary rankings, deal analysis, profiles, and trends. Real Estate Finance & Investment Review: Ref. HD1361 .R4233 in the Stamps Reading Room Moody’s Analytics CRE: Search... 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
  • 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
  • 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.)
  • Fast Answer

HBS Course: Real Estate Private Equity - Research Resources

LSEG Workspace
PE data includes investments, portfolio company and firm profiles, exits and fundraising information. Moody’s Analytics CRE Search millions of real estate data points... View Details
  • 2022
  • Working Paper

Small Campaign Donors

By: Laurent Bouton, Julia Cagé, Edgard Dewitte and Vincent Pons
In this paper, we study the characteristics and behavior of small donors, and compare them to those of large donors. We first build a novel dataset including all the 340 million individual contributions reported to the U.S. Federal Election Commission between 2005 and... View Details
Keywords: Campaign Finance; Campaign Contributions; Small Donations; ActBlue; WinRed; TV Advertising; Political Elections; Finance; Demographics; Advertising; Analysis; Analytics and Data Science
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Bouton, Laurent, Julia Cagé, Edgard Dewitte, and Vincent Pons. "Small Campaign Donors." NBER Working Paper Series, No. 30050, May 2022.
  • 12 Apr 2018
  • Blog Post

Reading Between the Lines: How to Spot the Skills You Need Among the Resumes You Get

correspondences between previous jobs and the position at hand, but has to rely on clues for the “right mindset.” For Tamblyn, that means rigorous analytical skills, a data driven approach to problem... View Details
Keywords: All Industries
  • 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
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