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All HBS Web
(253)
- People (1)
- News (63)
- Research (145)
- Events (5)
- Multimedia (2)
- Faculty Publications (24)
Show Results For
-
All HBS Web
(253)
- People (1)
- News (63)
- Research (145)
- Events (5)
- Multimedia (2)
- Faculty Publications (24)
- 25 Mar 2021
- Research & Ideas
Steer Clear of the Blind Spots That Derail Experiments
Iavor I. Bojinov
Iavor Bojinov is an Assistant Professor of Business Administration and the Richard Hodgson Fellow at Harvard Business School. He is the co-PI of the Data Science Operations Lab, and a faculty affiliate in the Department of Statistics at Harvard University and the... View Details
Siyu Zhang
Siyu Zhang is a second-year doctoral student at HBS. Prior to joining HBS. He was a Data Scientist at John Hancock, where he utilized machine learning models to predict the classification of insurance policy applications. Siyu is a former Investment Director at... View Details
- 15 Jan 2019
- Blog Post
Interning in the Retail Sector
- February 2014
- Case
BGI: Data-driven Research
- 15 Dec 2017
- News
Patient-Powered Precision
Edward H. Chang
- 13 Apr 2017
- News
What Precision Medicine Can Learn from the NFL
- 28 Feb 2014
- HBS Seminar
Paula Stephan, Georgia State Univ and NBER
- 2020
- Working Paper
Engineering Serendipity: When Does Knowledge Sharing Lead to Knowledge Production?
- June 2021
- Article
Engineering Serendipity: When Does Knowledge Sharing Lead to Knowledge Production?
- 05 Nov 2007
- Research & Ideas
The Changing Face of American Innovation
- 16 Sep 2015
- News
Faculty Q&A: The Working World
- 14 Sep 2011
- Working Paper Summaries
Ethnic Innovation and US Multinational Firm Activity
- 29 Nov 2004
- Research & Ideas
Caves, Clusters, and Weak Ties: The Six Degrees World of Inventors
- 29 Jun 2015
- News
High-Profile Study Turns Up the Antitrust Heat on Google
- Article
The Importance of Being Causal
Importance of Being Causal
Causal inference is the study of how actions, interventions, or treatments affect outcomes of interest. The methods that have received the lion’s share of attention in the data science literature for establishing causation are variations of randomized... View Details
- 2022
- Working Paper