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- Faculty Publications (546)
Show Results For
- All HBS Web
(970)
- News (133)
- Research (713)
- Events (8)
- Multimedia (4)
- Faculty Publications (546)
- 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
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.
- 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
- 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
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.)
- 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
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
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.
- 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
- 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
- Web
Supply Chain Management - Course Catalog
Data-driven, analytical decision-making is often critical in supply chain management, and thus SCM also builds on aspects of the first-year Data Science and AI for Leaders (RC DSAIL) course. However, whereas... View Details
- 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
- 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
Bouton, Laurent, Julia Cagé, Edgard Dewitte, and Vincent Pons. "Small Campaign Donors." NBER Working Paper Series, No. 30050, May 2022.
- Web
Kraft Accelerator
challenge, and change, the status quo. Together, we built a community and tore apart the cure ecosystem to figure out what wasn’t working. We identified four key areas that needed to be addressed: engaging patients, using data and 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
- 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
- 25 Apr 2012
- What Do You Think?
How Will the “Age of Big Data” Affect Management?
the Big Thinker." Gerald Nanninga cautioned us that "the big risk is that it gives executives a false sense of comfort." Clifford Francis Baker added, "My concern is primarily focused on the possibility of complacency data derived from... View Details
Keywords: Re: James L. Heskett
- Web
Kraft Accelerator
Podcast Podcast Showcasing the business models, technologies, and proof points of data & analytics leaders in precision medicine. Subscribe on Apple Podcasts More Ways to Listen Google Play Stitcher Spotify... View Details
- 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
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
- Forthcoming
- Article
Human-Algorithm Collaboration with Private Information: Naïve Advice Weighting Behavior and Mitigation
By: Maya Balakrishnan, Kris Ferreira and Jordan Tong
Even if algorithms make better predictions than humans on average, humans may sometimes have private information which an algorithm does not have access to that can improve performance. How can we help humans effectively use and adjust recommendations made by... View Details
Keywords: AI and Machine Learning; Analytics and Data Science; Forecasting and Prediction; Digital Marketing
Balakrishnan, Maya, Kris Ferreira, and Jordan Tong. "Human-Algorithm Collaboration with Private Information: Naïve Advice Weighting Behavior and Mitigation." Management Science (forthcoming).
- 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
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.)
- 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
- 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