Filter Results:
(206)
Show Results For
- All HBS Web
(500)
- People (1)
- News (111)
- Research (206)
- Events (14)
- Multimedia (3)
- Faculty Publications (110)
Show Results For
- All HBS Web
(500)
- People (1)
- News (111)
- Research (206)
- Events (14)
- Multimedia (3)
- Faculty Publications (110)
Sort by
- Teaching Interest
Overview
Teaching has been a lifelong passion of mine. As the third generation of academics in my family, I see good teaching as a means to give back and to encourage others to share my passion for discovery. I’ve been very lucky to have many teaching opportunities, both as an... View Details
Keywords: Big Data; Technology Strategy; Machine Learning; Data Science; ＂Marketing Analytics＂; Data Visualization; Analysis; Technological Innovation; Innovation and Invention; Intellectual Property; Corporate Strategy; Software; Information Technology; Entrepreneurship; Marketing; Computer Industry; Computer Industry; Computer Industry; Computer Industry; Computer Industry
- October 2023
- Article
Laboratory Safety and Research Productivity
By: Alberto Galasso, Hong Luo and Brooklynn Zhu
Are laboratory safety practices a tax on scientific productivity? We examine this question by exploiting the substantial increase in safety regulations at the University of California following the shocking accidental death of a research assistant in 2008.... View Details
Keywords: Economics Of Science; Risk Perception; Safety Regulations; Governing Rules, Regulations, and Reforms; Working Conditions; Safety; Performance Productivity
Galasso, Alberto, Hong Luo, and Brooklynn Zhu. "Laboratory Safety and Research Productivity." Art. 104827. Research Policy 52, no. 8 (October 2023).
- 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
- February 2014
- Case
BGI: Data-driven Research
By: Willy Shih and Sen Chai
BGI has the largest installed gene-sequencing capacity in the world, and to Zhang Gengyun, general manager of the Life Sciences Division, this represented an opportunity to apply his training as a plant breeder and his early career work as a biochemist to improving... View Details
Keywords: Genomics; Gene Sequencing; Life Sciences; Plant Breeding; Human Genome Program; Beijing Genomics Institute; BGI; Rice Genome; Technological Innovation; Innovation Strategy; Research; Research and Development; Science; Genetics; Science-Based Business; Strategy; Commercialization; Corporate Strategy; Information Technology; Applications and Software; Agriculture and Agribusiness Industry; Biotechnology Industry; Food and Beverage Industry; China; United States
Shih, Willy, and Sen Chai. "BGI: Data-driven Research." Harvard Business School Case 614-056, February 2014.
- Research Summary
(Avalok @ Harvard)
Bhaskar's research program is aimed at applying and developing methods of computer science, social science and law to problems that significantly have both political and technical dimensions. (Avalok @ Harvard) is the primary vehicle for this research... View Details
- January 2017
- Case
Danaher Corporation, 2007–2017
By: John R. Wells and Gabriel Ellsworth
On July 2, 2016, Danaher Corporation completed the spinoff of Fortive Corporation. The previous day, Danaher’s stock price had reached an all-time high. In 2015, Danaher had decided to split off its test and measurement, fuel and fleet management, and automation... View Details
Keywords: Danaher; Fortive; Larry Culp; Beckman Coulter; Pall; Life Sciences; Diagnostics; Environmental Operations; Water Management; Dental; Testing; Measurement; Fuel; Fleet Management; Automation; Toolmaking; Tools; Disease Management; Continuous Improvement; Toyota Production System; Divestiture; Spinoffs; Spin-off; Networks; Acquisition; Mergers and Acquisitions; Business Conglomerates; Business Divisions; Business Subsidiaries; Business Units; Business Growth and Maturation; Business Model; For-Profit Firms; Joint Ventures; Restructuring; Engineering; Chemicals; Construction; Machinery and Machining; Profit; Revenue; Globalized Firms and Management; Multinational Firms and Management; Health; Health Care and Treatment; Health Disorders; Medical Specialties; Business History; Job Cuts and Outsourcing; Business or Company Management; Growth and Development Strategy; Management Analysis, Tools, and Techniques; Management Practices and Processes; Management Succession; Management Systems; Resource Allocation; Market Entry and Exit; Measurement and Metrics; Logistics; Business Processes; Organizational Change and Adaptation; Public Ownership; Problems and Challenges; Science; Genetics; Natural Environment; Wastes and Waste Processing; Science-Based Business; Opportunities; Strategy; Adaptation; Business Strategy; Competition; Competitive Strategy; Competitive Advantage; Consolidation; Corporate Strategy; Diversification; Expansion; Technology; Software; Technology Networks; Technology Platform; Value; Valuation; Computer Industry; Computer Industry; Computer Industry; Computer Industry; Computer Industry; Computer Industry; Computer Industry; Computer Industry; Computer Industry; Computer Industry; Computer Industry; Computer Industry; Computer Industry; Computer Industry; Computer Industry; Computer Industry; Computer Industry; Computer Industry; Computer Industry; Computer Industry; Computer Industry; Computer Industry; Computer Industry; United States; District of Columbia
Wells, John R., and Gabriel Ellsworth. "Danaher Corporation, 2007–2017." Harvard Business School Case 717-464, January 2017.
- Teaching Interest
Great Theorems of Microeconomic Theory
By: Jerry R. Green
This course covers the field of microeconomics as seen through the lens of the "great theorems" that have determined its evolution since WWII. During that time period the entire field of economics has changed. It is now described in terms of advanced mathematics, much... View Details
- May 2016 (Revised April 2018)
- Case
Building the Digital Manufacturing Enterprise of the Future at Siemens
By: Willy Shih
This case describes the motivation for and the development of Siemens' digital manufacturing enterprise vision, which became the foundation for its implementation of Industrie 4.0. While the effort started with a purely defensive move by Anton Huber, head of the... View Details
Keywords: Big Data; Internet Of Things; Internet Of Everything; Industrie 4.0; Digital Factory; Digital Enterprise; Digital Manufacturing; Manufacturing; Production Management; Production Planning; Computer Software; Germany; German Manufacturing; Machinery and Machining; Information Technology; Digital Platforms; Technological Innovation; Production; Supply Chain; Applications and Software; Information Infrastructure; Internet and the Web; Analytics and Data Science; Manufacturing Industry; Germany
Shih, Willy. "Building the Digital Manufacturing Enterprise of the Future at Siemens." Harvard Business School Case 616-060, May 2016. (Revised April 2018.)
- Article
Detecting Adversarial Attacks via Subset Scanning of Autoencoder Activations and Reconstruction Error
By: Celia Cintas, Skyler Speakman, Victor Akinwande, William Ogallo, Komminist Weldemariam, Srihari Sridharan and Edward McFowland III
Reliably detecting attacks in a given set of inputs is of high practical relevance because of the vulnerability of neural networks to adversarial examples. These altered inputs create a security risk in applications with real-world consequences, such as self-driving... View Details
Keywords: Autoencoder Networks; Pattern Detection; Subset Scanning; Computer Vision; Statistical Methods And Machine Learning; Machine Learning; Deep Learning; Data Mining; Big Data; Large-scale Systems; Mathematical Methods; Analytics and Data Science
Cintas, Celia, Skyler Speakman, Victor Akinwande, William Ogallo, Komminist Weldemariam, Srihari Sridharan, and Edward McFowland III. "Detecting Adversarial Attacks via Subset Scanning of Autoencoder Activations and Reconstruction Error." Proceedings of the International Joint Conference on Artificial Intelligence 29th (2020).
- 2012
- Working Paper
Author-Level Eigenfactor Metrics: Evaluating the Influence of Authors, Institutions and Countries within the SSRN community
By: Jevin D. West, Michael C. Jensen, Ralph J. Dandrea, Gregg Gordon and Carl T. Bergstrom
In this paper, we show how the Eigenfactor® score, originally designed for ranking scholarly journals, can be adapted to rank the scholarly output of authors, institutions, and countries based on author-level citation data. Using the methods described herein, we... View Details
Keywords: Body of Literature; Measurement and Metrics; Networks; Rank and Position; Research; Motivation and Incentives
West, Jevin D., Michael C. Jensen, Ralph J. Dandrea, Gregg Gordon, and Carl T. Bergstrom. "Author-Level Eigenfactor Metrics: Evaluating the Influence of Authors, Institutions and Countries within the SSRN community." Harvard Business School Working Paper, No. 12-068, February 2012.
- 19 Nov 2001
- Research & Ideas
Alfred Chandler on the Electronic Century
public use—major new products of either consumer electronics or computer hardware with their essential software technologies. In the United States, no enterprise had the capability to commercialize new consumer electronics technologies.... View Details
- Research Summary
Internet Auctions for Close Substitutes
Economists agree that eBays auction design is sensible and potentially welfare-maximizing for the trade of collectibles, which are unique and idiosyncratic. For mainstream goods, which have close but imperfect substitutes (cars, cameras, computers, clothes), the... View Details
- December 2020
- Article
The Parable of the Auctioneer: Complexity in Paul R. Milgrom's Discovering Prices
By: Scott Duke Kominers and Alexander Teytelboym
Designing marketplaces in complex settings requires both novel economic theory and real-world engineering, often drawing upon ideas from fields such as computer science and operations research. In Discovering Prices, Milgrom (2017) explains the theory and design... View Details
Kominers, Scott Duke, and Alexander Teytelboym. "The Parable of the Auctioneer: Complexity in Paul R. Milgrom's Discovering Prices." Journal of Economic Literature 58, no. 4 (December 2020): 1180–1196.
- March 2008
- Article
Testing a Purportedly More Learnable Auction Mechanism
We describe an auction mechanism in the class of Groves mechanisms that has received attention in the computer science literature because of its theoretical property of being more "learnable" than the standard second price auction mechanism. We bring this mechanism,... View Details
Milkman, Katherine L., James Burns, David Parkes, Gregory M. Barron, and Kagan Tumer. "Testing a Purportedly More Learnable Auction Mechanism." Special Issue on Theoretical, Empirical and Experimental Research on Auctions. Applied Economics Research Bulletin 2 (March 2008): 106–141. (Earlier version distributed as Harvard Business School Working Paper 08-064.)
- 02 Dec 2002
- Research & Ideas
The Secret of How Microsoft Stays on Top
numbers almost 40,000 firms. To understand the way Microsoft manages IP, you have to go back to the roots of the company. Back in the late 1970s, its first products were aimed at helping other programmers develop applications for the View Details
Keywords: by Sean Silverthorne
- Article
How Do Fairness Definitions Fare? Examining Public Attitudes Towards Algorithmic Definitions of Fairness
By: Nripsuta Saxena, Karen Huang, Evan DeFilippis, Goran Radanovic, David C. Parkes and Yang Liu
What is the best way to define algorithmic fairness? While many definitions of fairness have been proposed in the computer science literature, there is no clear agreement over a particular definition. In this work, we investigate ordinary people’s perceptions of three... View Details
Saxena, Nripsuta, Karen Huang, Evan DeFilippis, Goran Radanovic, David C. Parkes, and Yang Liu. "How Do Fairness Definitions Fare? Examining Public Attitudes Towards Algorithmic Definitions of Fairness." Proceedings of the AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society (2019).
- 2023
- Working Paper
Nailing Prediction: Experimental Evidence on the Value of Tools in Predictive Model Development
By: Daniel Yue, Paul Hamilton and Iavor Bojinov
Predictive model development is understudied despite its centrality in modern artificial
intelligence and machine learning business applications. Although prior discussions
highlight advances in methods (along the dimensions of data, computing power, and
algorithms)... View Details
Keywords: Analytics and Data Science
Yue, Daniel, Paul Hamilton, and Iavor Bojinov. "Nailing Prediction: Experimental Evidence on the Value of Tools in Predictive Model Development." Harvard Business School Working Paper, No. 23-029, December 2022. (Revised April 2023.)
- September 2023
- Article
Top Talent, Elite Colleges, and Migration: Evidence from the Indian Institutes of Technology
By: Prithwiraj Choudhury, Ina Ganguli and Patrick Gaulé
We study migration in the right tail of the talent distribution using a novel dataset of Indian high school students taking the Joint Entrance Exam (JEE), a college entrance exam used for admission to the prestigious Indian Institutes of Technology (IIT). We find a... View Details
Choudhury, Prithwiraj, Ina Ganguli, and Patrick Gaulé. "Top Talent, Elite Colleges, and Migration: Evidence from the Indian Institutes of Technology." Art. 103120. Journal of Development Economics 164 (September 2023).
- 19 Aug 2002
- Research & Ideas
Here Comes Internet2—Time to Shed Dot Vertigo
of the traffic on Internet2 is predicted to be between computer and computer.— Richard L. Nolan Internet2 was launched when a group of academics from various university computer View Details
Keywords: by Martha Lagace
- 03 Mar 2008
- Working Paper Summaries