Publications

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

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

Keywords: elections; consulting; analysis; polls

01 Sep 2014
News

Ask the Expert: Byte-Testing Bitcoin

that will make anonymity an afterthought. I think the Bitcoin public ledger will eventually hold so much valuable information that some very interesting analytics companies are going to emerge to make sense of the data. Has there ever... View Details

Keywords: alumni; Data Processing, Hosting, and Related Services; Data Processing, Hosting, and Related Services

01 Jun 2018
News

Floor It

coming out of labs over the next 10 years will surpass anything we’ve experienced in the past,” says HBS senior fellow Richard Hamermesh, who co-chairs the accelerator with Kathy Giusti (MBA 1985). “Looking ahead, we expect to have the ecosystem in place to improve... View Details

Keywords: Julia Hanna; illustration by Mengxin Li

25 Feb 2020
News

How Artificial Intelligence is Changing Business

algorithms to analyze radiology scans, applying quantitative analytics to marketing movies, and analyzing sales data from an online flash retail site to develop a better pricing model. The teaching and... View Details

Keywords: Susan Young

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

Keywords: Robert S. Benchley; Support Activities for Transportation; Transportation

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

SSRN

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

October 1994
Article

When Worlds Collide: The Implications of Panel Data-Based Choice Models for Consumer Behavior

By: R. S. Winer, R.E. Bucklin, J. A. Deighton, J. Erdem, P.S. Fader, J.J. Inman, H. Katahira, Katherine N. Lemon and A. Mitchell

Keywords: Analytics and Data Science; Consumer Behavior; Decision Choices and Conditions

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

Purchase

26 Feb 2018
News

Teaching Farmers New Tricks of the Trade

Erik Malmstrom (MBA 2012) is general manager of crop marketing for the Farmers Business Network in California. In this video, he describes how the organization is helping transform the agriculture space using data View Details

Fast Answer

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

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

Purchase

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

Web

Mohammed Guerrab | MBA

interest: Cloud, AI and ML, Digital health, Data science Formative experience at the intersection of technology and business: This past academic year, I worked with the Harvard Data View Details

January–February 2023
Article

Forecasting COVID-19 and Analyzing the Effect of Government Interventions

By: Michael Lingzhi Li, Hamza Tazi Bouardi, Omar Skali Lami, Thomas Trikalinos, Nikolaos Trichakis and Dimitris Bertsimas

We developed DELPHI, a novel epidemiological model for predicting detected cases and deaths in the prevaccination era of the COVID-19 pandemic. The model allows for underdetection of infections and effects of government interventions. We have applied DELPHI across more... View Details

Keywords: COVID-19 Pandemic; Epidemics; Analytics and Data Science; Health Pandemics; AI and Machine Learning; Forecasting and Prediction