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(484)
- People (1)
- News (111)
- Research (208)
- Events (14)
- Multimedia (3)
- Faculty Publications (110)
Show Results For
- All HBS Web
(484)
- People (1)
- News (111)
- Research (208)
- Events (14)
- Multimedia (3)
- Faculty Publications (110)
- Article
Science-based Product Development: An Empirical Study of the Mainframe Computer Industry
By: Marco Iansiti
Iansiti, Marco. "Science-based Product Development: An Empirical Study of the Mainframe Computer Industry." Production and Operations Management 4, no. 4 (Fall 1995).
- 14 Sep 2018
- Blog Post
10 Things I Learned During My First Month in the MS/MBA: Engineering Sciences Program
skills with big-picture business vision. I chose Harvard’s MS/MBA: Engineering Sciences Program to become a strong leader while also refining the skills I would need to succeed in deeply technical fields. I arrived in Boston on an... View Details
- 18 Oct 2017
- Blog Post
4 Advantages of the MS/MBA: Engineering Sciences Program
two nuclear physicists for grandparents, I grew up in a strongly STEM household. My family fostered in me a desire to understand how things worked and I latched on to the then-nascent Internet and computer revolution. When it came time... View Details
- 13 Jun 2017
- Blog Post
What is the MS/MBA: Engineering Sciences Program? A Q&A with Professor Tom Eisenmann
aspire to lead technology ventures. These individuals love to solve hard problems and to build, and they have entrepreneurial drive. Applicants must also have an undergraduate degree in engineering, computer science, or a related field.... View Details
- 15 Jun 2018
- News
Skydeck Live: The Science of a Meaningful Life
Subscribe on iTunes Subscribe on SoundCloud More Skydeck episodes Charles Duhigg (MBA 2003) is a Pulitzer- Prize winning journalist and a New York Times best-selling author. His first book, The Power of Habit, focused the science of habit... View Details
- 01 Feb 2002
- News
As the Future Catches You
Life Science Project at HBS, believes that the future will be defined by the genomic revolution and that world history today is at a fundamental turning point. Combined with advances and developments in other fields, the human experience,... View Details
- March–April 2023
- Article
Market Segmentation Trees
By: Ali Aouad, Adam Elmachtoub, Kris J. Ferreira and Ryan McNellis
Problem definition: We seek to provide an interpretable framework for segmenting users in a population for personalized decision making. Methodology/results: We propose a general methodology, market segmentation trees (MSTs), for learning market... View Details
Keywords: Decision Trees; Computational Advertising; Market Segmentation; Analytics and Data Science; E-commerce; Consumer Behavior; Marketplace Matching; Marketing Channels; Digital Marketing
Aouad, Ali, Adam Elmachtoub, Kris J. Ferreira, and Ryan McNellis. "Market Segmentation Trees." Manufacturing & Service Operations Management 25, no. 2 (March–April 2023): 648–667.
- 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 scientist at Accenture Tech Labs and... View Details
- 01 Jun 2008
- News
A Binary Formula
Illustrations by James Steinberg It’s been said that in this century, carbohydrates will replace hydrocarbons, and biology will supplant physics as the innovation-producing science. As science fiction becomes View Details
- 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
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
- 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.
- 01 Mar 2003
- News
Inside the Revolution
The kids in Ms. Gubler’s fifth-grade science class are watching Juan Enriquez’s every move — they can’t quite believe that this visitor from Harvard Business School has just denuded a floppy disk. (One girl, Diana, is not so surprised —... View Details
Shira Li
Shira Li is a doctoral student in the Business Economics program. Her research interests include finance, industrial organization, and market design. She graduated from Harvard College in 2019 with an A.B. in Math and Computer Science and a... View Details
- 24 Feb 2016
- HBS Seminar
David Brumley of Carnegie Mellon University
Jennifer Zou
I am a fourth year doctoral candidate in the Business Economics program. My research interests are primarily in industrial organization and innovation, with a particular focus on the economics of artificial intelligence/machine learning and digital technology markets.... View Details
Jenny Wang
Jenny Shan Wang is a doctoral student in the Technology and Operations Management program at Harvard Business School (HBS). She is broadly interested in interpretable machine learning (ML), identity and inequality, and improving existing methods... View Details
- 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