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Show Results For
- All HBS Web
(2,028)
- News (416)
- Research (1,311)
- Events (23)
- Multimedia (3)
- Faculty Publications (442)
A New Analysis of Differential Privacy’s Generalization Guarantees
We give a new proof of the “transfer theorem” underlying adaptive data analysis: that any mechanism for answering adaptively chosen statistical queries that is differentially private and sample-accurate is also accurate out-of-sample. Our new proof is elementary and... View Details
- 12 Apr 2022
- Research & Ideas
Swiping Right: How Data Helped This Online Dating Site Make More Matches
marriages began with online dates. “[Online dating platforms] are an extremely interesting application of the general question of influence and digital interactions,” he says, with lessons that can apply to other online engagement... View Details
Keywords: by Kara Baskin
- April 2023
- Technical Note
An Art & A Science: How to Apply Design Thinking to Data Science Challenges
By: Michael Parzen, Eddie Lin, Douglas Ng and Jessie Li
We hear it all the time as managers: “what is the data that backs up your decisions?” Even local mom-and-pop shops now have access to complex point-of-sale systems that can closely track sales and customer data. Social media influencers have turned into seven-figure... View Details
Parzen, Michael, Eddie Lin, Douglas Ng, and Jessie Li. "An Art & A Science: How to Apply Design Thinking to Data Science Challenges." Harvard Business School Technical Note 623-070, April 2023.
- 15 Nov 2016
- News
Cultivating the Next Generation of Thought Leaders
two reasons for management failures to heed shareholder proposals for greater action on ESG issues: processes within the organization may not be sufficiently developed, and performance incentives may be misaligned. “I went back to the View Details
- 01 Jun 2024
- News
Decoding the Promise and Perils of Generative AI
of dollars and take weeks or months to implement, each of our studies ran in a matter of minutes or hours and the total cost to generate all the data in the paper was under $100,” they wrote. Hima Lakkaraju... View Details
Keywords: April White
- Fast Answer
Government data and information sources for public entrepreneurship
Services (GIS). SimplyAnalytics generates tables and maps for the United States including population, age, race, income, employment, and education. Our subscription also allows access to Experian... View Details
- Article
Advancing Digital Health Applications: Priorities for Innovation in Real-World Evidence Generation
By: Ariel Dora Stern, Jan Brönneke, Jörg F Debatin, Julia Hagen, Henrik Matthies, Smit Patel, Ieuan Clay, Bjoern Eskofier, Annika Herr, Kurt Hoeller, Ashley Jaksa, Daniel B Kramer, Mattias Kyhlstedt, Katherine T Lofgren, Nirosha Mahendraratnam, Holger Muehlan, Simon Reif, Lars Riedemann and Jennifer C Goldsack
In 2019, Germany passed the Digital Healthcare Act, which, among other things, created a “Fast-Track” regulatory and reimbursement pathway for digital health applications in the German market. The pathway explicitly provides for flexibility in how researchers can... View Details
Stern, Ariel Dora, Jan Brönneke, Jörg F Debatin, Julia Hagen, Henrik Matthies, Smit Patel, Ieuan Clay, Bjoern Eskofier, Annika Herr, Kurt Hoeller, Ashley Jaksa, Daniel B Kramer, Mattias Kyhlstedt, Katherine T Lofgren, Nirosha Mahendraratnam, Holger Muehlan, Simon Reif, Lars Riedemann, and Jennifer C Goldsack. "Advancing Digital Health Applications: Priorities for Innovation in Real-World Evidence Generation." Lancet Digital Health 4, no. 3 (March 2022): e200–e206.
- 2023
- Book
Beyond AI: ChatGPT, Web3, and the Business Landscape of Tomorrow
By: Ken Huang, Yang Wang, Feng Zhu, Xi Chen and Chunxiao Xing
This book explores the transformative potential of ChatGPT, Web3, and their impact on productivity and various industries. It delves into Generative AI (GenAI) and its representative platform ChatGPT, their synergy with Web3, and how they can revolutionize business... View Details
Huang, Ken, Yang Wang, Feng Zhu, Xi Chen, and Chunxiao Xing, eds. Beyond AI: ChatGPT, Web3, and the Business Landscape of Tomorrow. Springer, 2023.
- August 2017 (Revised August 2018)
- Case
The Oakland Athletics: Strategy & Metrics for a Budget
By: Srikant M. Datar and Caitlin N. Bowler
This case considers Oakland Athletics General Manager Billy Beane’s data driven and, in baseball circles unconventional, approach to winning games over the duration of the long Major League Baseball season. Beane’s critical approach to crafting strategy within his... View Details
Keywords: Data Analysis; Metrics; Data Science; Analytics and Data Science; Analysis; Measurement and Metrics; Competitive Strategy; Organizational Culture; Sports Industry
Datar, Srikant M., and Caitlin N. Bowler. "The Oakland Athletics: Strategy & Metrics for a Budget." Harvard Business School Case 118-010, August 2017. (Revised August 2018.)
- May–June 2020
- Article
The Agenda for the Next Generation of Health Care Information Technology
By: Thomas W. Feeley, Zachary Landman and Michael E. Porter
As the diffusion of value-based health care efforts accelerates globally, the need for interoperable information technology systems that support value-based care is essential. Such systems are needed to facilitate dramatic improvements in patient outcomes and... View Details
Keywords: Value-based Health Care; Health Care and Treatment; Information Technology; Integration; Performance Improvement; Performance Efficiency
Feeley, Thomas W., Zachary Landman, and Michael E. Porter. "The Agenda for the Next Generation of Health Care Information Technology." NEJM Catalyst Innovations in Care Delivery 1, no. 3 (May–June 2020).
- Web
Data Tips & Toolkits - Research Computing Services
Data Practices Data Tips & Toolkits 9ms Causal Inference R Packages causalTree, CausalImpact, Counterfactual, BayesTree, rrd, FindIt, causaldrf, uplift, Synth, matchIt, pcalg, wfe, matching, med ex, BCEE,... View Details
- July 2021
- Article
Electronic Trace Data and Legal Outcomes: The Effect of Electronic Medical Records on Malpractice Claim Resolution Time
By: Sam Ransbotham, Eric Overby and Michael C. Jernigan
Information systems generate copious trace data about what individuals do and when they do it. Trace data may affect the resolution of lawsuits by, for example, changing the time needed for legal discovery. Trace data might speed resolution by clarifying what events... View Details
Keywords: Analytics and Data Science; Lawsuits and Litigation; Digital Transformation; Welfare; Health Industry
Ransbotham, Sam, Eric Overby, and Michael C. Jernigan. "Electronic Trace Data and Legal Outcomes: The Effect of Electronic Medical Records on Malpractice Claim Resolution Time." Management Science 67, no. 7 (July 2021): 4341–4361.
- Fast Answer
Finding a Time Series of Financial Data in Compustat
How do I find time series of financial data using Compustat in WRDS? You can search for financial data using Compustat in View Details
- 02 Apr 2015
- Research & Ideas
Digital Initiative Summit: Freeing Patient Data to Enable Innovation
Patients are not actually the customers in the United States health care system, a fact largely to blame for the dearth of communication and data sharing between providers, according to experts at a recent Harvard Business School... View Details
- 22 Feb 2024
- Research & Ideas
How to Make AI 'Forget' All the Private Data It Shouldn't Have
Europe’s tougher data privacy regulations went into effect in 2018, they have created complications for companies worldwide. Questions around data privacy will likely become thornier as View Details
Electronic Trace Data and Legal Outcomes: The Effect of Electronic Medical Records on Malpractice Claim Resolution Time
Information systems generate copious trace data about what individuals do and when they do it. Trace data may affect the resolution of lawsuits by, for... View Details
- Web
GDPR & Other Data Privacy Laws | Information Technology
information. The most notable is the European Union's General Data Protection Regulation (GDPR), but other countries are adopting similar resolutions. From Harvard's GDPR Resource Website : The View Details
- Web
Generative AI for Business Leaders - Course Catalog
HBS Course Catalog Generative AI for Business Leaders Course Number 1301 Professor Suraj Srinivasan Spring; Q4; 1.5 credits Project Course Overview Generative AI (GenAI) stands at the forefront of a... View Details
- 2018
- Working Paper
Forecasting Airport Transfer Passenger Flow Using Real-Time Data and Machine Learning
By: Xiaojia Guo, Yael Grushka-Cockayne and Bert De Reyck
Problem definition: In collaboration with Heathrow Airport, we develop a predictive system that generates quantile forecasts of transfer passengers’ connection times. Sampling from the distribution of individual passengers’ connection times, the system also produces... View Details
Keywords: Quantile Forecasts; Regression Tree; Copula; Passenger Flow Management; Data-driven Operations; Forecasting and Prediction; Data and Data Sets
Guo, Xiaojia, Yael Grushka-Cockayne, and Bert De Reyck. "Forecasting Airport Transfer Passenger Flow Using Real-Time Data and Machine Learning." Harvard Business School Working Paper, No. 19-040, October 2018.
- 2025
- Working Paper
When Where Watt: Harnessing the Value of Time and Location for Renewable Electricity Generation
By: Vishrut Rana, Christian Kaps and Serguei Netessine
Problem definition: Investments in renewable energy have surged worldwide in recent years, with over $2 trillion spent globally on clean energy. This surge was driven by growing policy support, concerns about energy security, and, most importantly, the cost... View Details
Keywords: Wind Power; Electricity Distribution; Renewable Energy; Profit; Investment Return; Factories, Labs, and Plants; Geographic Location; Revenue; Energy Industry; Utilities Industry
Rana, Vishrut, Christian Kaps, and Serguei Netessine. "When Where Watt: Harnessing the Value of Time and Location for Renewable Electricity Generation." Working Paper, January 2025.