Publications

2022
Article

Data Poisoning Attacks on Off-Policy Evaluation Methods

By: Elita Lobo, Harvineet Singh, Marek Petrik, Cynthia Rudin and Himabindu Lakkaraju

Off-policy Evaluation (OPE) methods are a crucial tool for evaluating policies in high-stakes domains such as healthcare, where exploration is often infeasible, unethical, or expensive. However, the extent to which such methods can be trusted under adversarial threats... View Details

Keywords: Analytics and Data Science; Cybersecurity; Mathematical Methods

09 Sep 2016
News

Marla Malcolm Beck’s Path to CEO

tackle any process in any organization.” The article frames Malcolm Beck’s professional journey not as an accumulation of diverse skills, but as a focus on a few unique ones. [S]he didn’t become chief executive by getting loads of experience across functions. Rather,... View Details

08 May 2015
News

Ubiquitous digital connectivity is now essential to competitiveness

its “industrial Internet,” an open global network of machines, data, and people that provides analytics and designs solutions to optimize its customers’ complex operations. “The paradigm is not displacement and replacement,” says Iansiti,... View Details

23 Oct 2019
News

Preparing Leaders to Leverage Artificial Intelligence

as Competing on Business Analytics and Big Data. In 2018, HBS led the development of the online Harvard Business Analytics Program. This certificate program—taught by business, engineering, and statistics... View Details

Keywords: Intellectual Ambition; Pathbreaking Research; Artificial Intelligence

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 RC DSAIL focuses primarily on... View Details

2023
Working Paper

Design-Based Confidence Sequences: A General Approach to Risk Mitigation in Online Experimentation

By: Dae Woong Ham, Michael Lindon, Martin Tingley and Iavor Bojinov

Randomized experiments have become the standard method for companies to evaluate the performance of new products or services. In addition to augmenting managers’ decision-making, experimentation mitigates risk by limiting the proportion of customers exposed to... View Details

Keywords: Performance Evaluation; Research and Development; Analytics and Data Science; Consumer Behavior

SSRN

November 2018
Case

Sportradar (A): From Data to Storytelling

By: Ramon Casadesus-Masanell, Karen Elterman and Oliver Gassmann

In 2013, the Swiss sports data company Sportradar debated whether to expand from its core business of data provision to bookmakers into sports media products. Sports data was becoming a commodity, and in the future, sports leagues might reduce their dependence on... View Details

Educators

Profile

Kayode Ogunro

employer. How has HBS prepared you for your new job? My job will require a substantial amount of travel to Europe and Africa and more hands on management of deals and projects than I would face with a typical investment firm. My HBS experience has definitely helped me... View Details

Keywords: Investment Management / Hedge Fund; Venture Capital / Private Equity; Financial Services; Energy / Extractive Minerals; Manufacturing

22 Sep 2015
News

Promoting a Healthy Policy Agenda

different factors to be considered. And so bringing a very objective and analytical approach to that, I think, is important and helpful.” (Published September 2015) View Details

2023
Article

Exploiting Discovered Regression Discontinuities to Debias Conditioned-on-observable Estimators

By: Benjamin Jakubowski, Siram Somanchi, Edward McFowland III and Daniel B. Neill

Regression discontinuity (RD) designs are widely used to estimate causal effects in the absence of a randomized experiment. However, standard approaches to RD analysis face two significant limitations. First, they require a priori knowledge of discontinuities in... View Details

Keywords: Regression Discontinuity Design; Analytics and Data Science; AI and Machine Learning

March 2023
Supplement

Allianz Türkiye (B): Adapting to a Changing World

By: John D. Macomber and Fares Khrais

Keywords: Insurance And Reinsurance; Natural Disasters; Turkey; Insurance; Climate Change; Analytics and Data Science; Insurance Industry; Financial Services Industry; Turkey

November–December 2015
Article

Active Postmarketing Drug Surveillance for Multiple Adverse Events

By: Joel Goh, Margrét V. Bjarnadóttir, Mohsen Bayati and Stefanos A. Zenios

Postmarketing drug surveillance is the process of monitoring the adverse events of pharmaceutical or medical devices after they are approved by the appropriate regulatory authorities. Historically, such surveillance was based on voluntary reports by medical... View Details

Keywords: Drug Surveillance; Health Care; Stochastic Models; Queueing; Diffusion Approximation; Brownian Motion; Health Care and Treatment; Analytics and Data Science; Analysis

November 1998
Teaching Note

Working with your "Shadow Partner" TN

By: Richard L. Nolan

Teaching Note for (9-399-051). View Details

Keywords: Internet and the Web; Analytics and Data Science

Web

Tools & Services | Information Technology

about web design, implementation, management, and support at HBS. Data, Reporting, & Analytics Explore IT supported reporting and analytics platforms for HBS community information assets. Deliver We ensure... 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

Article

Core Earnings: New Data and Evidence

By: Ethan Rouen, Eric C. So and Charles C.Y. Wang

Using a novel dataset, we show that components of firms' GAAP earnings stemming from ancillary business activities or transitory shocks are significant in frequency and magnitude. These components have grown over time and are dispersed across various sections of the... View Details

Keywords: Core Earnings; Transitory Earnings; Non-operating Earnings; Quantitative Disclosures; Equity Valuation; Big Data; Business Earnings; Financial Reporting; Valuation; Analytics and Data Science

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

July 2018
Article

Reimagining Health Data Exchange: An Application Programming Interface-Enabled Roadmap for India

By: Satchit Balsari, Alexander Fortenko MD, MPH, Joaquin A. Blaya PhD, Adrian Gropper MD, Malavika Jayaram LLM, Rahul Matthan LLM, Ram Sahasranam, Mark Shankar MD, Suptendra N. Sarbadhikari PhD, Barbara Bierer, Kenneth D. Mandl MD, Sanjay Mehendale MD, MPH and Tarun Khanna

In February 2018, the Government of India announced a massive public health insurance scheme extending coverage to 500 million citizens, in effect making it the world’s largest insurance program. To meet this target, the government will rely on technology to... View Details

Keywords: Health Information Exchange; India; Health APIs; Health Care and Treatment; Information; Analytics and Data Science; Information Technology; Health Industry; India