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  • 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
Related
  • Web

Beverly Fu | MBA

dedicated to developing and applying tech solutions to change the world. Tech areas of interest: Biotechnology, Data Science Formative experience at the intersection of technology and business: I have... View Details
  • 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
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  • Web

Grace Li | MBA

Grace Li Computer Science / Neuroscience, SM Computer Science Quincy 2025 Cohort 7 I am overjoyed to join Tech Fellows, a community of dreamers who are able to see beyond the limitations of today to invent... View Details
  • 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
  • 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
  • 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
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  • 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
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  • January–February 2025
  • 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
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  • 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
Related
  • Web

Mason Watson | MBA

and make what already exists better. Professional goals: I am really interested in pursuing projects related to Machine Learning and Data Science because of this intersection between Statistics and Computer... View Details
  • Web

Flatiron School: Reflections from Summer 2020 - Recruiting

practical skills, statistics fundamentals, and real-life data science project experience. This full-time, intensive eight-week remote learning program was designed for students with basic technical... View Details
  • Web

Sebastian Schwartz | MBA

Sebastian Schwartz Computer Science Winthrop 2020 Cohort 1 I’m excited to be a Fellow because this program allows me to learn about technology and entrepreneurship in the real world, outside of the classroom. Formative experience at the... View Details
  • 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
  • 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
  • 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
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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
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  • 01 Dec 2018
  • News

Case Study: Your Data, Your Health

during a Blavatnik Fellowship in Life Science Entrepreneurship at HBS. The startup employs a system for collecting reproductive cell samples from a tampon, which the customer sends to the lab for genomic analysis. The lab then provides... View Details
Keywords: Jen McFarland Flint
  • 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
  • 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