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Publications

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  • All HBS Web  (249)
    • People  (1)
    • News  (73)
    • Research  (147)
    • Events  (5)
    • Multimedia  (2)
  • Faculty Publications  (23)

Show Results For

  • All HBS Web  (249)
    • People  (1)
    • News  (73)
    • Research  (147)
    • Events  (5)
    • Multimedia  (2)
  • Faculty Publications  (23)
← Page 3 of 249 Results →
  • 2022
  • Working Paper

The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective

By: Satyapriya Krishna, Tessa Han, Alex Gu, Javin Pombra, Shahin Jabbari, Steven Wu and Himabindu Lakkaraju
As various post hoc explanation methods are increasingly being leveraged to explain complex models in high-stakes settings, it becomes critical to develop a deeper understanding of if and when the explanations output by these methods disagree with each other, and how... View Details
Keywords: AI and Machine Learning; Analytics and Data Science; Mathematical Methods
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Krishna, Satyapriya, Tessa Han, Alex Gu, Javin Pombra, Shahin Jabbari, Steven Wu, and Himabindu Lakkaraju. "The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective." Working Paper, 2022.
  • 14 Aug 2008
  • Working Paper Summaries

The Agglomeration of U.S. Ethnic Inventors

Keywords: by William R. Kerr; Technology
  • September 2023 (Revised December 2023)
  • Case

TetraScience: Noise and Signal

By: Thomas R. Eisenmann and Tom Quinn
In 2019, TetraScience CEO “Spin” Wang needed advice. Five years earlier, he had cofounded a startup that saw early success with a hardware product designed to help laboratory scientists in the biotechnology and pharmaceutical spaces more easily collect data from... View Details
Keywords: Entrepreneurship; Business Growth and Maturation; Business Organization; Restructuring; Forecasting and Prediction; Digital Platforms; Analytics and Data Science; AI and Machine Learning; Organizational Structure; Network Effects; Competitive Strategy; Biotechnology Industry; Pharmaceutical Industry; United States; Boston
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Eisenmann, Thomas R., and Tom Quinn. "TetraScience: Noise and Signal." Harvard Business School Case 824-024, September 2023. (Revised December 2023.)
  • January–February 2025
  • Article

Want Your Company to Get Better at Experimentation?: Learn Fast by Democratizing Testing

By: Iavor Bojinov, David Holtz, Ramesh Johari, Sven Schmit and Martin Tingley
For years, online experimentation has fueled the innovations of leading tech companies, enabling them to rapidly test and refine new ideas, optimize product features, personalize user experiences, and maintain a competitive edge. The widespread availability and lower... View Details
Keywords: Technological Innovation; AI and Machine Learning; Analytics and Data Science; Product Development; Competitive Advantage
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Bojinov, Iavor, David Holtz, Ramesh Johari, Sven Schmit, and Martin Tingley. "Want Your Company to Get Better at Experimentation? Learn Fast by Democratizing Testing." Harvard Business Review 103, no. 1 (January–February 2025): 96–103.
  • 26 Apr 2019
  • HBS Seminar

Maryaline Catillon, Harvard University

  • 05 Sep 2006
  • First Look

First Look: September 5, 2006

and scientists has caused the extended social networks of inventors to become increasingly connected. As a result, invention increasingly occurs within small worlds (or social networks) that straddle firm boundaries. Small worlds provide... View Details
Keywords: Sean Silverthorne
  • 09 Nov 2017
  • HBS Seminar

Alfonso Gambardella, Bocconi University

  • June 2021
  • Case

uBiome

By: Thomas R. Eisenmann and Olivia Graham
uBiome provided clinical tests that sequenced the DNA of human microbiome samples, providing data on health conditions directly to consumers or to prescribing physicians. Founded in 2012, the San Francisco-based startup raised $105 million from top-tier venture capital... View Details
Keywords: Business Startups; Crime and Corruption; Insolvency and Bankruptcy
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Eisenmann, Thomas R., and Olivia Graham. "uBiome." Harvard Business School Case 821-076, June 2021.
  • 19 Sep 2023
  • Research & Ideas

What Chandrayaan-3 Says About India's Entrepreneurial Approach to Space

to me the greatest form of public goods. Now digital public goods are the modern equivalent. Do you know that India uses more data per capita than any country in the world? If you added the per capita data... View Details
Keywords: by Clea Simon, Harvard Gazette; Aerospace
  • 2021
  • Working Paper

Who Do We Invent for? Patents by Women Focus More on Women's Health, but Few Women Get to Invent

By: Rembrand Koning, Sampsa Samila and John-Paul Ferguson
Has the increase in female medical researchers led to more medical advances for women? In this paper, we investigate if the gender of inventors shapes their types of inventions. Using data on the universe of U.S. biomedical patents, we find that patents with women... View Details
Keywords: Innovation; Biomedical Research; Innovation and Invention; Diversity; Gender; Research; Health; United States
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Koning, Rembrand, Sampsa Samila, and John-Paul Ferguson. "Who Do We Invent for? Patents by Women Focus More on Women's Health, but Few Women Get to Invent." Working Paper. (Harvard Business School Working Paper, No. 19-124, June 2019; SSRN Working Paper Series, No. 3401889, June 2019.)
  • 03 Dec 2014
  • HBS Seminar

Ginger Jin, University of Maryland

  • 03 May 2023
  • Research & Ideas

Why Confronting Racism in AI 'Creates a Better Future for All of Us'

pretty bad. The present is better than 100 years ago and much better than 200 years ago. Today, the tech world is building AI systems and making decisions that will use human inferences and data built on the past. So instead of mimicking... View Details
Keywords: by Barbara DeLollis
  • Research Summary

Reforming Social Science

By: Max H. Bazerman

Social science research affects all of us. When researchers learned organ donation rates are higher in countries where human organs are automatically available for donation unless you specifically “opt-out” of the system, as opposed to countries like the U.S., where... View Details

  • 09 Oct 2012
  • First Look

First Look: October 9

Abstract Key to the effective use of big data are the analytical professionals known as "data scientists," who can both manipulate large and unstructured data sources and create insights from them.... View Details
Keywords: Sean Silverthorne
  • 01 Aug 2011
  • Research & Ideas

Immigrant Innovators: Job Stealers or Job Creators?

detailed data about H-1B applications, says Kerr. "It's an unfortunate event that as the H1-B issue has become more controversial, the amount of available data has shrunk.") “The debate has gotten to the... View Details
Keywords: by Carmen Nobel; Technology
  • 11 Jul 2011
  • Research & Ideas

Non-competes Push Talent Away

research team investigated whether the results would change if they excluded all the data related to inventors who moved to California. Indeed, even without the pull of Silicon Valley, the brain drain theory still held true: Michigan... View Details
Keywords: by Carmen Nobel; Technology
  • 09 Sep 2010
  • Working Paper Summaries

Boundary Spanning in a For-Profit Research Lab: An Exploration of the Interface Between Commerce and Academe

Keywords: by Christopher C. Liu & Toby E. Stuart; Biotechnology
  • 12 Sep 2006
  • First Look

First Look: September 12, 2006

development. Detailed historical economic and social data allow an evaluation of policy results. Purchase this case: http://www.hbsp.harvard.edu/b01/en/common/item_detail.jhtml?id=706497 Inniskillin and the Globalization of Icewine... View Details
Keywords: Sean Silverthorne
  • 13 Jan 2020
  • Blog Post

Blending my Tech and Managerial Mindsets

We recently caught up with Yuval Gonczarowski (MBA 2017), the Chief Technology Officer at ClimaCell Inc, a weather technology SaaS startup utilizing unique data sources like wireless signals and connected vehicles to map all the weather... View Details
  • 29 Jul 2008
  • First Look

First Look: July 29, 2008

unique data set on the career histories of Indian bureaucrats supports the key predictions of our framework. We find that politicians use frequent reassignments (transfers) across posts of varying importance as a means of control.... View Details
Keywords: Martha Lagace
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