Publications

November 1996
Article

Localized Autocorrelation Diagnostic Statistic for Sociological Models: Times-series, Network, and Spatial Datasets

By: C. I. Nass and Y. Moon

Keywords: Society; Analytics and Data Science; Information

06 Oct 2011
What Do You Think?

How Will the ‘Moneyball Generation’ Influence Management?

course, referred to a type of analytic data that might suggest nontraditional indicators designed to provide a competitive edge in everything from investments to selection of talent. One such example is the... View Details

Keywords: by James Heskett

01 Dec 2018
News

Adapting to Meet Changing Needs

Sciences (SEAS), and the Faculty of Arts and Sciences debuted the Harvard Business Analytics Program (HBAP), an online certificate offering for executives focused on quantitative analysis and data science. A... View Details

Forthcoming
Article

The Double-Edged Sword of Exemplar Similarity

By: Majid Majzoubi, Eric Zhao, Tiona Zuzul and Greg Fisher

We investigate how a firm’s positioning relative to category exemplars shapes security analysts’ evaluations. Using a two-stage model of evaluation (initial screening and subsequent assessment), we propose that exemplar similarity enhances a firm’s recognizability and... View Details

Keywords: Natural Language Processing; Analytics and Data Science; Performance Evaluation

2023
Article

On Minimizing the Impact of Dataset Shifts on Actionable Explanations

By: Anna P. Meyer, Dan Ley, Suraj Srinivas and Himabindu Lakkaraju

The Right to Explanation is an important regulatory principle that allows individuals to request actionable explanations for algorithmic decisions. However, several technical challenges arise when providing such actionable explanations in practice. For instance, models... View Details

Keywords: Mathematical Methods; Analytics and Data Science

01 Sep 2015
News

Data-Driven Diligence

same way, he’d later learn through Moneyball, that baseball teams were using analytics to find undervalued players. The problem was, Coats needed data—lots of it. “I kept asking VCs and others in the industry, ‘Has anyone ever aggregated... View Details

Keywords: Francis Storrs

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

June 2023
Article

How New Ideas Diffuse in Science

By: Mengjie Cheng, Daniel Scott Smith, Xiang Ren, Hancheng Cao, Sanne Smith and Daniel A. McFarland

What conditions help new ideas spread? Can knowledge entrepreneurs’ position and develop new ideas in ways that help them take off? Most innovation research focuses on products and their reference. That focus ignores the ideas themselves and the broader ideational... View Details

Keywords: Innovation Adoption; Natural Language Processing; Knowledge; Science; Innovation and Invention; Knowledge Sharing; Analytics and Data Science

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Real Estate Prices by City

How to find office & residential rental prices by major city worldwide. You may begin with: Moody’s Analytics CRE - Search millions of real estate data points that cover every commercially... View Details

Fast Answer

Home sales (existing)

How do I find data on existing home sales and prices? Moody’s Analytics CRE allows you to search millions of real estate data points that cover every commercially... View Details

March–April 2022
Article

Uncovering the Mitigating Psychological Response to Monitoring Technologies: Police Body Cameras Not Only Constrain but Also Depolarize

By: Shefali V. Patil and Ethan Bernstein

Despite organizational psychologists’ long-standing caution against monitoring (citing its reduction in employee autonomy and thus effectiveness), many organizations continue to use it, often with no detriment to performance and with strong support, not protest, from... View Details

Keywords: Monitoring; Transparency; Polarization; Body Worn Cameras; Quasi Field Experiment; Analytics and Data Science; Employees; Perception; Law Enforcement

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

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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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2023
Working Paper

Corporate Website-based Measures of Firms' Value Drivers

By: Wei Cai, Dennis Campbell and Patrick Ferguson

We develop and validate new text-based measures of firms’ financial and non-financial value drivers. Using the Wayback Machine to access public US firms’ archived websites from 1995-2020, we scrape text from corporate homepages. We use Kaplan and Norton’s (1992)... View Details

Keywords: Value; Corporate Strategy; Accounting; Analytics and Data Science

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

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

May 2020
Article

Scalable Holistic Linear Regression

By: Dimitris Bertsimas and Michael Lingzhi Li

We propose a new scalable algorithm for holistic linear regression building on Bertsimas & King (2016). Specifically, we develop new theory to model significance and multicollinearity as lazy constraints rather than checking the conditions iteratively. The resulting... View Details

Keywords: Mathematical Methods; Analytics and Data Science