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  • All HBS Web  (1,497)
    • News  (192)
    • Research  (1,065)
    • Events  (20)
    • Multimedia  (8)
  • Faculty Publications  (667)

Show Results For

  • All HBS Web  (1,497)
    • News  (192)
    • Research  (1,065)
    • Events  (20)
    • Multimedia  (8)
  • Faculty Publications  (667)
← Page 47 of 1,497 Results →
  • 13 Jan 2003
  • Research & Ideas

Making Biotech Work as a Business

expressed the frustration that many people in the biotech industry feel as he clicked through the depressing data in gloomy graphs on a big screen. "It's not a very profitable sector of the economy" based on the performance of... View Details
Keywords: by Martha Lagace; Biotechnology; Health; Technology
  • Fast Answer

Grand Challenges for Entrepreneurs

style="font-family:"Arial",sans-serif">ScienceDirect : multidisciplinary - particularly strong in sciences View Details
  • Web

Moritz Pail | MBA

Moritz Pail Computer Science / Mathematics Quincy 2025 Cohort 6 I am grateful for the opportunity to be a part of the HUTIF program, and I am excited to learn from and collaborate with other talented individuals who are committed to using... View Details
  • 01 Mar 2013
  • News

Faculty Books

Enterprise Analytics: Optimize Performance, Process, and Decisions through Big Data edited by Thomas Davenport (FT Press) This book, a collection of research papers from the International Institute for Analytics, addresses a wide variety... View Details
  • 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
  • Forthcoming
  • Article

Human-Algorithm Collaboration with Private Information: Naïve Advice Weighting Behavior and Mitigation

By: Maya Balakrishnan, Kris Ferreira and Jordan Tong
Even if algorithms make better predictions than humans on average, humans may sometimes have private information which an algorithm does not have access to that can improve performance. How can we help humans effectively use and adjust recommendations made by... View Details
Keywords: AI and Machine Learning; Analytics and Data Science; Forecasting and Prediction; Digital Marketing
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Balakrishnan, Maya, Kris Ferreira, and Jordan Tong. "Human-Algorithm Collaboration with Private Information: Naïve Advice Weighting Behavior and Mitigation." Management Science (forthcoming). (Pre-published online March 24, 2025.)
  • 2022
  • Working Paper

Small Campaign Donors

By: Laurent Bouton, Julia Cagé, Edgard Dewitte and Vincent Pons
In this paper, we study the characteristics and behavior of small donors, and compare them to those of large donors. We first build a novel dataset including all the 340 million individual contributions reported to the U.S. Federal Election Commission between 2005 and... View Details
Keywords: Campaign Finance; Campaign Contributions; Small Donations; ActBlue; WinRed; TV Advertising; Political Elections; Finance; Demographics; Advertising; Analysis; Analytics and Data Science
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Bouton, Laurent, Julia Cagé, Edgard Dewitte, and Vincent Pons. "Small Campaign Donors." NBER Working Paper Series, No. 30050, May 2022.
  • Web

Managing Customers for Growth - Course Catalog

students will strengthen their ability to translate customer data into strategic decisions and communicate effectively with data science teams. Course Content and Organization:... View Details
  • 29 Nov 2004
  • Research & Ideas

Caves, Clusters, and Weak Ties: The Six Degrees World of Inventors

about these ideas. We gathered thirty years of U.S. patent data and wrote up some code that identifies the inventors and links them to each other for three million patents and two million inventors. Our first cut was to look at the... View Details
Keywords: by Sara Grant; Publishing
  • 04 Sep 2019
  • News

Advancing Diagnostics that Can Save Lives

data and machine learning to improve health care. Kelley, who recently received a Blavatnik Fellowship in Life Science Entrepreneurship at HBS, aims to bring fast and accurate diagnoses to cancer patients... View Details
Keywords: Susan Young
  • 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
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Lee, Charles M.C., Paul Ma, and Charles C.Y. Wang. "Search-Based Peer Firms: Aggregating Investor Perceptions Through Internet Co-Searches." Harvard Business School Working Paper, No. 13-048, November 2012. (Revised September 2013, March 2014, June 2014, July 2014.)
  • 25 Feb 2020
  • News

3-Minute Briefing: Ellen Pao (MBA 1998)

create a more diverse and inclusive environment. That’s what we’re doing with Project Include. Through our program, a CEO can talk with peers and see data on their startup’s diversity and sentiment levels. You need View Details
Keywords: April White; photo by Eric Millette
  • 10 Sep 2020
  • Blog Post

Founding a Company at the Intersection of Medicine and Technology

possible with this new branch of computer science, particularly the power of convolutional neural networks.  It was through this curriculum that I fell in love with data science and learned about the... View Details
  • 01 Jun 2017
  • News

Drawing on the Crowd for Innovative Problem-Solving

Long before HBS professor Karim R. Lakhani used crowdsourcing to develop pioneering research on the science of innovation, his experiences working at General Electric and the Boston Consulting Group piqued his curiosity about how such... View Details
  • 22 Apr 2019
  • News

Keeping an Eye on Things

time now because there are many modalities that are emerging. The science and technology is accelerating for facial, iris, and there are many other physical characteristics that are still in the research and development arena, such as... View Details
Keywords: Biometrics
  • 01 Dec 2016
  • News

Starting Lineup: Upturning Travel

websites. FLYR CEO Jean Tripier (MBA 1992) Founded in 2013 “The data science company that ends the guessing game of booking airfares.” When JetBlue created a venture capital arm earlier this year, its first... View Details
Keywords: April White
  • 01 Sep 2015
  • News

Faculty Q&A: The Working World

How did you become interested in the impact of high-skill immigrant labor? In the 1990s I helped develop a wireless data technology for a Korean company. The inventor was a Korean scientist living in Silicon Valley, so I spent a lot of... View Details
Keywords: Julia Hanna
  • Web

News Coverage - Institute For Strategy And Competitiveness

Involved Videos Books News Coverage VBHCD in the News Finding Value in the Cost of BPH Care MEDPAGE TODAY Charles Bankhead (March 2015) Fast-Track Process Cuts Time in PACU and Saves Money ANESTHESIOLOGY NEWS Shannon Firth (September 2014) The View Details
  • Fast Answer

Market Perspectives

Where can I find resources for my paper or project? Sources for U.S. Economic Data Economic Reports Literature and article resources: Academic Search Premier - a multi-disciplinary database that provides access to full text material from... View Details
  • Article

Productivity and Selection of Human Capital with Machine Learning

By: Aaron Chalfin, Oren Danieli, Andrew Hillis, Zubin Jelveh, Michael Luca, Jens Ludwig and Sendhil Mullainathan
Keywords: Analytics and Data Science; Selection and Staffing; Performance Productivity; Mathematical Methods; Policy
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Chalfin, Aaron, Oren Danieli, Andrew Hillis, Zubin Jelveh, Michael Luca, Jens Ludwig, and Sendhil Mullainathan. "Productivity and Selection of Human Capital with Machine Learning." American Economic Review: Papers and Proceedings 106, no. 5 (May 2016): 124–127.
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