Publications

23 Jul 2001
Research & Ideas

How Relationships are Building Biotech

context in which to study the missing link. Product development cycles are long, usually between seven and ten years. Millions of dollars are spent before a product ever gets to market. Uncertainty about the viability of a company's View Details

Keywords: by Martha Lagace & Mallory Stark

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

Find at Harvard

2023
Article

Benchmarking Large Language Models on CMExam—A Comprehensive Chinese Medical Exam Dataset

By: Junling Liu, Peilin Zhou, Yining Hua, Dading Chong, Zhongyu Tian, Andrew Liu, Helin Wang, Chenyu You, Zhenhua Guo, Lei Zhu and Michael Lingzhi Li

Recent advancements in large language models (LLMs) have transformed the field of question answering (QA). However, evaluating LLMs in the medical field is challenging due to the lack of standardized and comprehensive datasets. To address this gap, we introduce CMExam,... View Details

Keywords: Large Language Model; AI and Machine Learning; Analytics and Data Science; Health Industry

September 2025
Article

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

By: Shawn Cole, Tomoko Harigaya, Grady Killeen 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: Measurement and Metrics; Mathematical Methods; Analytics and Data Science; Agriculture and Agribusiness Industry; India

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 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

Workshops & Technical Talks - Research Computing Services

Introduction to Data Visualization with ggplot2 Cleaning Data in R Python Python workshop materials (e.g., Python Introduction; Python Web Scraping) from Harvard's Institute for Quantitative Social View Details

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

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

06 Jan 2012
Op-Ed

Where Green Corporate Ratings Fail

disinformation about global warming than Murdoch." Two of Fox News' influential news commentators, Sean Hannity and Glenn Beck, both reject climate science on their shows, with Hannity proclaiming that "the debate's over.... View Details

Keywords: by Michael Toffel & Auden Schendler; Information; Publishing

February 1994
Background Note

Causal Inference

By: Arthur Schleifer Jr.

Discusses what causation is and what one can (and cannot) learn about causation from observational (nonexperimental) data. View Details

Keywords: Decision Making; Analytics and Data Science; Interests

Educators

Fast Answer

R&D expenditures: Companies

obtain this information from Compustat in WRDS (helpful if you need to historical figures or are working with large data sets/lists of tickers): In WRDS, go to Compustat - Capital IQ-->North America Daily-->Fundamentals... View Details

06 Dec 2021
News

HBS Curricula Explore the Complexities of Innovation

of data management and analytics also led HBS to introduce Data Science for Managers, a new Required Curriculum elective for first-year MBA students. Then in their second year,... View Details

Keywords: Jennifer Gillespie

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

February 2011
Supplement

Dataset for "MercadoLibre.com" (CW)

By: Francisco de Asis Martinez-Jerez

Datasets of listings and powersellers transactions to perform analysis for the case. View Details

Keywords: Accounting; Analytics and Data Science; Management Analysis, Tools, and Techniques

May 2024
Article

Housing Policies and Energy Efficiency Spillovers in Low and Moderate Income Communities

By: Omar Isaac Asensio, Olga Churkina, Becky D. Rafter and Kira E O'Hare

Housing policies address the human dimensions of increasing urban density, but their energy and sustainability implications are hard to measure due to challenges with siloed civic data. This is especially critical when evaluating policies targeting low- and... View Details

Keywords: Energy Efficiency; Public Policy; Climate Change; Energy Conservation; Housing; Analytics and Data Science; Policy; Income; Environmental Sustainability; Real Estate Industry; United States

April 2001
Article

Academic-Practitioner Collaboration in Management Research: A Case of Cross-Profession Collaboration

By: T. M. Amabile, C. Patterson, Jennifer Mueller, T. Wojcik, P. Odomirok, M. Marsh and S. Kramer

We present a case of academic-practitioner research collaboration to illuminate three potential determinants of the success of such cross-profession collaborations: collaborative team characteristics, collaboration environment characteristics, and collaboration... View Details

Keywords: Research; Cases; Analytics and Data Science; Theory