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- 2024
- Article
Neyman Meets Causal Machine Learning: Experimental Evaluation of Individualized Treatment Rules
By: Michael Lingzhi Li and Kosuke Imai
A century ago, Neyman showed how to evaluate the efficacy of treatment using a randomized experiment under a minimal set of assumptions. This classical repeated sampling framework serves as a basis of routine experimental analyses conducted by today’s scientists across...
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- January 2024 (Revised February 2024)
- Technical Note
Computer Science for Strategists
By: Andy Wu and Matt Higgins
Two of the most important computer science principles in the technology industry are abstraction and platformization. Our aim with this note is to explain these concepts in an approachable way that brings managers and computer scientists a little closer together.
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- November 2023 (Revised March 2024)
- Case
Infarm: Betting the (Indoor) Farm on Food Security
By: Elie Ofek
In the summer of 2023, the co-founders of Infarm, a controlled environment agriculture (CEA) company, were contemplating a major pivot going forward. While Infarm had successfully shown it could grow over 75 products—mainly herbs, leafy greens and mushrooms—in modular...
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- October 2023
- Teaching Note
Timnit Gebru: 'SILENCED No More' on AI Bias and The Harms of Large Language Models
By: Tsedal Neeley and Tim Englehart
Teaching Note for HBS Case No. 422-085. Dr. Timnit Gebru—a leading artificial intelligence (AI) computer scientist and co-lead of Google’s Ethical AI team—was messaging with one of her colleagues when she saw the words: “Did you resign?? Megan sent an email saying that...
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- September 2023 (Revised December 2023)
- Case
TetraScience: Noise and Signal
By: Thomas R. Eisenmann and Tom Quinn
In 2019, TetraScience CEO “Spin” Wang needed advice. Five years earlier, he had cofounded a startup that saw early success with a hardware product designed to help laboratory scientists in the biotechnology and pharmaceutical spaces more easily collect data from...
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Keywords:
Entrepreneurship;
Business Growth and Maturation;
Business Organization;
Restructuring;
Forecasting and Prediction;
Digital Platforms;
Analytics and Data Science;
AI and Machine Learning;
Organizational Structure;
Network Effects;
Competitive Strategy;
Biotechnology Industry;
Pharmaceutical Industry;
United States;
Boston
- June 2023
- Article
The Salary Taboo: Privacy Norms and the Diffusion of Information
By: Zoë Cullen and Ricardo Perez-Truglia
The limited diffusion of salary information has implications for labor markets, such as wage discrimination policies and collective bargaining. Access to salary information is believed to be limited and unequal, but there is little direct evidence on the sources of...
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- January 2023
- Case
Cleave Therapeutics: Taking a Risk on Oncology Drug Discovery
By: Regina Herzlinger and Brian Walker
What should a successful executive (HBS Baker Scholar) assess as her next move as the CEO of a firm with a promising and yet uncertain new drug? Amy Burroughs’ mandate to successfully commercialize Cleave Therapeutics’ drug for a cancer with no current successful...
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- May 2022
- Case
Timnit Gebru: 'SILENCED No More' on AI Bias and The Harms of Large Language Models
By: Tsedal Neeley and Stefani Ruper
Dr. Timnit Gebru—a leading artificial intelligence (AI) computer scientist and co-lead of Google’s Ethical AI team—was messaging with one of her colleagues when she saw the words: “Did you resign?? Megan sent an email saying that she accepted your resignation.” Heart...
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- 2022
- Working Paper
The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective
By: Satyapriya Krishna, Tessa Han, Alex Gu, Javin Pombra, Shahin Jabbari, Steven Wu and Himabindu Lakkaraju
As various post hoc explanation methods are increasingly being leveraged to explain complex models in high-stakes settings, it becomes critical to develop a deeper understanding of if and when the explanations output by these methods disagree with each other, and how...
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- February 2022 (Revised September 2022)
- Case
InstaDeep: AI Innovation Born in Africa (A)
By: Shikhar Ghosh and Esel Çekin
Karim Beguir and Zohra Slim were the co-founders of InstaDeep, a deep tech startup focusing on artificial intelligence (AI) solutions. Instadeep was one of the few companies globally that were partnering with DeepMind, an AI subsidiary of Google [Alphabet Inc.]....
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- February 2022 (Revised July 2022)
- Supplement
InstaDeep: AI Innovation Born in Africa (B)
By: Shikhar Ghosh and Esel Çekin
Karim Beguir and Zohra Slim were the co-founders of InstaDeep, a deep tech startup focusing on artificial intelligence (AI) solutions. Instadeep was one of the few companies globally that were partnering with DeepMind, an AI subsidiary of Google [Alphabet Inc.]....
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- Article
Megastudies Improve the Impact of Applied Behavioural Science
By: Katherine L. Milkman, Dena Gromet, Hung Ho, Joseph S. Kay, Timothy W. Lee, Pepi Pandiloski, Yeji Park, Aneesh Rai, Max Bazerman, John Beshears, Lauri Bonacorsi, Colin Camerer, Edward Chang, Gretchen Chapman, Robert Cialdini, Hengchen Dai, Lauren Eskreis-Winkler, Ayelet Fishbach, James J. Gross, Samantha Horn, Alexa Hubbard, Steven J. Jones, Dean Karlan, Tim Kautz, Erika Kirgios, Joowon Klusowski, Ariella Kristal, Rahul Ladhania, Jens Ludwig, George Loewenstein, Barbara Mellers, Sendhil Mullainathan, Silvia Saccardo, Jann Spiess, Gaurav Suri, Joachim H. Talloen, Jamie Taxer, Yaacov Trope, Lyle Ungar, Kevin G. Volpp, Ashley V. Whillans, Jonathan Zinman and Angela L. Duckworth
Policy-makers are increasingly turning to behavioural science for insights about how to improve citizens’ decisions and outcomes. Typically, different scientists test different intervention ideas in different samples using different outcomes over different time...
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- November 2021 (Revised May 2022)
- Case
QuantumScape's Mission to Revolutionize Energy Storage for a Sustainable Future
By: William A. Sahlman, Allison M. Ciechanover and Jeff Huizinga
QuantumScape CEO Jagdeep Singh juggles the many activities required to lead the next-generation battery pioneer. Founded in 2010, QuantumScape’s mission was to develop new “solid-state” car batteries that would improve upon traditional lithium-ion batteries in key...
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- Article
Potentially Long-Lasting Effects of the Pandemic on Scientists
By: Jian Gao, Yian Yin, Kyle R. Myers, Karim R. Lakhani and Dashun Wang
Two surveys of principal investigators conducted between April 2020 and January 2021 reveal that while the COVID-19 pandemic’s initial impacts on scientists’ research time seem alleviated, there has been a decline in the rate of initiating new projects. This dimension...
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- June 2021
- Case
uBiome
By: Thomas R. Eisenmann and Olivia Graham
uBiome provided clinical tests that sequenced the DNA of human microbiome samples, providing data on health conditions directly to consumers or to prescribing physicians. Founded in 2012, the San Francisco-based startup raised $105 million from top-tier venture capital...
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- June 2021
- Article
Engineering Serendipity: When Does Knowledge Sharing Lead to Knowledge Production?
By: Jacqueline N. Lane, Ina Ganguli, Patrick Gaule, Eva C. Guinan and Karim R. Lakhani
We investigate how knowledge similarity between two individuals is systematically related to the likelihood that a serendipitous encounter results in knowledge production. We conduct a natural field experiment at a medical research symposium, where we exogenously...
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- Article
GitLab: Work Where You Want, When You Want
By: Prithwiraj Choudhury, Kevin Crowston, Linus Dahlander, Marco S. Minervini and Sumita Raghuram
GitLab is a software company that works “all remote” at the scale of more than 1,000 employees located in more than 60 countries. GitLab has no physical office and its employees can work from anywhere they choose. Any step of the organizational life of a GitLab...
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- 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...
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- September 2020
- Article
Unequal Effects of the COVID-19 Pandemic on Scientists
By: Kyle Myers, Wei Yang Tham, Yian Yin, Nina Cohodes, Marie Thursby, Jerry Thursby, Peter Schiffer, Joseph Walsh, Karim R. Lakhani and Dashun Wang
COVID-19 has not affected all scientists equally. A survey of principal investigators indicates that female scientists, those in the ‘bench sciences’ and, especially, scientists with young children experienced a substantial decline in time devoted to research. This...
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- Article
The Importance of Being Causal
By: Iavor I Bojinov, Albert Chen and Min Liu
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 experiments....
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