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(250)
- People (1)
- News (73)
- Research (147)
- Events (5)
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- Faculty Publications (24)
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- October 2012
- Article
Data Scientist: The Sexiest Job of the 21st Century
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. Data scientists are difficult to hire and retain, but their skills will be... View Details
Keywords: Big Data; Data Scientists; Business Analytics; Analytics and Data Science; Mathematical Methods; Jobs and Positions
Davenport, Thomas H., and D. J. Patil. "Data Scientist: The Sexiest Job of the 21st Century." Harvard Business Review 90, no. 10 (October 2012): 70–76.
- Winter 2017
- Article
Why Big Data Isn't Enough
By: Sen Chai and Willy C. Shih
There is a growing belief that sophisticated algorithms can explore huge databases and find relationships independent of any preconceived hypotheses. But in businesses that involve scientific research and technological innovation, this approach is misguided and... View Details
Keywords: Big Data; Science-based; Science; Scientific Research; Data Analytics; Data Science; Data-driven Management; Data Scientists; Technological Innovation; Analytics and Data Science; Mathematical Methods; Theory
Chai, Sen, and Willy C. Shih. "Why Big Data Isn't Enough." Art. 58227. MIT Sloan Management Review 58, no. 2 (Winter 2017): 57–61.
- 22 Feb 2022
- Research & Ideas
Lack of Female Scientists Means Fewer Medical Treatments for Women
Women are more likely to invent medical treatments for endometriosis, cervical cancer, and other female conditions, but the dearth of women scientists limits the potential for such life-saving innovations. Female research teams are 35... View Details
Keywords: by Kristen Senz
- October 2020
- Article
The Elasticity of Science
By: Kyle Myers
This paper identifies the degree to which scientists are willing to change the direction of their work in exchange for resources. Data from the National Institutes of Health are used to estimate how scientists respond to targeted funding opportunities. Inducing a... View Details
Myers, Kyle. "The Elasticity of Science." American Economic Journal: Applied Economics 12, no. 4 (October 2020): 103–134.
- 18 Jul 2019
- News
U.S. Targeting of Chinese Scientists Fuels a Brain Drain
- 23 Nov 2019
- News
Big Tech and Data Privacy
- 29 Jan 2016
- News
What Data Can Do to Fight Poverty
- 26 Jul 2017
- Cold Call Podcast
The Revolution in Advertising: From Don Draper to Big Data
- March 2019
- Case
Wattpad
By: John Deighton and Leora Kornfeld
How to run a platform to match four million writers of stories to 75 million readers? Use data science. Make money by doing deals with television and filmmakers and book publishers. The case describes the challenges of matching readers to stories and of helping writers... View Details
Keywords: Platform Businesses; Creative Industries; Publishing; Data Science; Machine Learning; Collaborative Filtering; Women And Leadership; Managing Data Scientists; Big Data; Recommender Systems; Digital Platforms; Information Technology; Intellectual Property; Analytics and Data Science; Publishing Industry; Entertainment and Recreation Industry; Canada; United States; Philippines; Viet Nam; Turkey; Indonesia; Brazil
Deighton, John, and Leora Kornfeld. "Wattpad." Harvard Business School Case 919-413, March 2019.
- 17 Dec 2015
- News
New Research: Big Data Offers New Possibilities for City Planners
- 21 Aug 2017
- Lessons from the Classroom
Companies Love Big Data But Lack the Strategy To Use It Effectively
managers, HR specialists, and data scientists work together to use data to improve employee-related decisions and practices. New analytic approaches and new sources of digital... View Details
Keywords: by Dina Gerdeman
- Teaching Interest
Overview
Paul is primarily interested in teaching data science to management students through the case method. This includes technical topics (programming and statistics) as well as higher-level management issues (digital transformation, data governance, etc.) As a research... View Details
Keywords: A/B Testing; AI; AI Algorithms; AI Creativity; Algorithm; Algorithm Bias; Algorithmic Bias; Algorithmic Fairness; Algorithms; Analytics; Application Program Interface; Artificial Intelligence; Causality; Causal Inference; Computing; Computers; Data Analysis; Data Analytics; Data Architecture; Data As A Service; Data Centers; Data Governance; Data Labeling; Data Management; Data Manipulation; Data Mining; Data Ownership; Data Privacy; Data Protection; Data Science; Data Science And Analytics Management; Data Scientists; Data Security; Data Sharing; Data Strategy; Data Visualization; Database; Data-driven Decision-making; Data-driven Management; Data-driven Operations; Datathon; Economics Of AI; Economics Of Innovation; Economics Of Information System; Economics Of Science; Forecast; Forecast Accuracy; Forecasting; Forecasting And Prediction; Information Technology; Machine Learning; Machine Learning Models; Prediction; Prediction Error; Predictive Analytics; Predictive Models; Analysis; AI and Machine Learning; Analytics and Data Science; Applications and Software; Digital Transformation; Information Management; Digital Strategy; Technology Adoption
- April 2002
- Case
In vivo to in vitro to in silico: Coping with Tidal Waves of Data at Biogen
By: Juan Enriquez-Cabot, Gary P. Pisano and Gaye Bok
Biogen is a successful biotech company facing a critical juncture. CEO John Mullen ponders how technological changes introduced into the research function will shape larger corporate decisions. This world in which biotechnology companies operated had changed... View Details
Keywords: Change; Decisions; Product Development; Research and Development; Expansion; Technology; Biotechnology Industry
Enriquez-Cabot, Juan, Gary P. Pisano, and Gaye Bok. "In vivo to in vitro to in silico: Coping with Tidal Waves of Data at Biogen." Harvard Business School Case 602-122, April 2002.
- August 2018
- Article
Growth Through Heterogeneous Innovations
By: Ufuk Akcigit and William R. Kerr
We build a tractable growth model where multi-product incumbents invest in internal innovations to improve their existing products, while new entrants and incumbents invest in external innovations to acquire new product lines. External and internal innovations generate... View Details
Keywords: Endogenous Growth; Innovation; Citations; Scientists; Entrepreneurs; External; Internal; Patents; Innovation Strategy; Entrepreneurship; Economic Growth; Research and Development; Science
Akcigit, Ufuk, and William R. Kerr. "Growth Through Heterogeneous Innovations." Journal of Political Economy 126, no. 4 (August 2018): 1374–1443.
- 13 Jun 2017
- Blog Post
7 Reasons Why the New MS/MBA: Engineering Sciences Program at Harvard is Next Level
companies now. i.e. This is bigger than just you. Interested in learning more about the MS/MBA? Here are four things you need to know. -- Anita Mehrotra is a Class of 2018 HBS student (Section I!) and was previously a data View Details
The Elasticity of Science
The adjustment costs of science -- getting scientists to study what you want them to -- are very large.
Abstact: This paper identifies the degree to which scientists are willing to change the direction of their work in exchange for resources.... View Details
Abstact: This paper identifies the degree to which scientists are willing to change the direction of their work in exchange for resources.... View Details
Toren Fronsdal
Toren Fronsdal is a doctoral student in the Business Economics program. His research interests are industrial organization and health economics, primarily focusing on hospital and insurer negotiations. He graduated from Stanford University with a B.A. in Economics in... View Details