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- 2021
- Working Paper
Quantifying the Value of Iterative Experimentation
By: Iavor I Bojinov and Jialiang Mao
Over the past decade, most technology companies and a growing number of conventional firms have adopted online experimentation (or A/B testing) into their product development process. Initially, A/B testing was deployed as a static procedure in which an experiment was...
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Bojinov, Iavor I., and Jialiang Mao. "Quantifying the Value of Iterative Experimentation." Harvard Business School Working Paper, No. 24-059, March 2024.
- 2024
- Working Paper
Contributing to Growth? The Role of Open Source Software for Global Startups
By: Nataliya Langburd Wright, Frank Nagle and Shane Greenstein
Does participating in open source software (OSS) communities spur entrepreneurial growth? More
efficiently developing shared code, learning from what the OSS community has developed, and
shaping the direction of massive projects, such as those linked to frameworks...
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Keywords:
Applications and Software;
Open Source Distribution;
Entrepreneurship;
Business Growth and Maturation;
Human Capital;
Valuation;
Corporate Strategy
Wright, Nataliya Langburd, Frank Nagle, and Shane Greenstein. "Contributing to Growth? The Role of Open Source Software for Global Startups." Harvard Business School Working Paper, No. 24-040, January 2024.
- 2023
- Article
On the Impact of Actionable Explanations on Social Segregation
By: Ruijiang Gao and Himabindu Lakkaraju
As predictive models seep into several real-world applications, it has become critical to ensure that individuals who are negatively impacted by the outcomes of these models are provided with a means for recourse. To this end, there has been a growing body of research...
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Gao, Ruijiang, and Himabindu Lakkaraju. "On the Impact of Actionable Explanations on Social Segregation." Proceedings of the International Conference on Machine Learning (ICML) 40th (2023): 10727–10743.
- July 2023
- Case
DayTwo: Going to Market with Gut Microbiome (Abridged)
By: Ayelet Israeli
DayTwo is a young Israeli startup that applies research on the gut microbiome and machine learning algorithms to deliver personalized nutritional recommendations to its users in order to minimize blood sugar spikes after meals. After a first year of trial rollout in...
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Keywords:
Business Startups;
AI and Machine Learning;
Nutrition;
Market Entry and Exit;
Product Marketing;
Distribution Channels
Israeli, Ayelet. "DayTwo: Going to Market with Gut Microbiome (Abridged)." Harvard Business School Case 524-015, July 2023.
- July 2023
- Article
Negative Expressions Are Shared More on Twitter for Public Figures Than for Ordinary Users
By: Jonas P. Schöne, David Garcia, Brian Parkinson and Amit Goldenberg
Social media users tend to produce content that contains more positive than negative emotional language. However, negative emotional language is more likely to be shared. To understand why, research has thus far focused on psychological processes associated with...
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Schöne, Jonas P., David Garcia, Brian Parkinson, and Amit Goldenberg. "Negative Expressions Are Shared More on Twitter for Public Figures Than for Ordinary Users." PNAS Nexus 2, no. 7 (July 2023).
- 2023
- Article
Building the Business Case for an Inclusive Approach to Digital Health Measurement with a Web App (Market Opportunity Calculator): Instrument Development Study
By: Mitchell Tang, Yashoda Sharma, Jennifer C. Goldsack and Ariel Dora Stern
Background: The use of digital health measurement tools has grown substantially in recent years. However, there are concerns that the promised benefits from these products will not be shared equitably. Underserved populations, such as those with lower education and...
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Keywords:
Demographics;
Product Development;
Health Care and Treatment;
Medical Devices and Supplies Industry
Tang, Mitchell, Yashoda Sharma, Jennifer C. Goldsack, and Ariel Dora Stern. "Building the Business Case for an Inclusive Approach to Digital Health Measurement with a Web App (Market Opportunity Calculator): Instrument Development Study." JMIR Formative Research 7 (2023).
- 2023
- Article
Probabilistically Robust Recourse: Navigating the Trade-offs between Costs and Robustness in Algorithmic Recourse
By: Martin Pawelczyk, Teresa Datta, Johannes van-den-Heuvel, Gjergji Kasneci and Himabindu Lakkaraju
As machine learning models are increasingly being employed to make consequential decisions in real-world settings, it becomes critical to ensure that individuals who are adversely impacted (e.g., loan denied) by the predictions of these models are provided with a means...
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Pawelczyk, Martin, Teresa Datta, Johannes van-den-Heuvel, Gjergji Kasneci, and Himabindu Lakkaraju. "Probabilistically Robust Recourse: Navigating the Trade-offs between Costs and Robustness in Algorithmic Recourse." Proceedings of the International Conference on Learning Representations (ICLR) (2023).
- April 19, 2023
- Editorial
Extreme Views Are More Attractive Than Moderate Ones
By: Amit Goldenberg
Do you ever feel like everyone on social media has a more extreme viewpoint than your own? We often blame social media companies for the cacophony of politically extreme opinions around us. After all, these companies are generally motivated to promote the most...
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Goldenberg, Amit. "Extreme Views Are More Attractive Than Moderate Ones." Scientific American (website) (April 19, 2023).
- November 2022 (Revised March 2024)
- Case
Replika AI: Monetizing a Chatbot
By: Julian De Freitas and Nicole Tempest Keller
In early 2018, Eugenia Kuyda, co-founder and CEO of San Francisco-based chatbot Replika AI, was deciding how to monetize the app she had built. Launched in 2017, Replika was a consumer AI “companion app” developed by a team of AI software engineers originally based in...
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Keywords:
Mental Health;
Subscriber Models;
TAM;
Monetization Strategy;
Marketing Strategy;
Product Marketing;
AI and Machine Learning;
Applications and Software;
Product Positioning;
Health Disorders;
Technology Industry
De Freitas, Julian, and Nicole Tempest Keller. "Replika AI: Monetizing a Chatbot." Harvard Business School Case 523-016, November 2022. (Revised March 2024.)
- 2022
- Article
Towards Robust Off-Policy Evaluation via Human Inputs
By: Harvineet Singh, Shalmali Joshi, Finale Doshi-Velez and Himabindu Lakkaraju
Off-policy Evaluation (OPE) methods are crucial tools for evaluating policies in high-stakes domains such as healthcare, where direct deployment is often infeasible, unethical, or expensive. When deployment environments are expected to undergo changes (that is, dataset...
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Singh, Harvineet, Shalmali Joshi, Finale Doshi-Velez, and Himabindu Lakkaraju. "Towards Robust Off-Policy Evaluation via Human Inputs." Proceedings of the AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society (2022): 686–699.
- 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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Krishna, Satyapriya, Tessa Han, Alex Gu, Javin Pombra, Shahin Jabbari, Steven Wu, and Himabindu Lakkaraju. "The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective." Working Paper, 2022.
- 2022
- Working Paper
TalkToModel: Explaining Machine Learning Models with Interactive Natural Language Conversations
By: Dylan Slack, Satyapriya Krishna, Himabindu Lakkaraju and Sameer Singh
Practitioners increasingly use machine learning (ML) models, yet they have become more complex and harder to understand. To address this issue, researchers have proposed techniques to explain model predictions. However, practitioners struggle to use explainability...
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Slack, Dylan, Satyapriya Krishna, Himabindu Lakkaraju, and Sameer Singh. "TalkToModel: Explaining Machine Learning Models with Interactive Natural Language Conversations." Working Paper, 2022.
- Article
The Translucent Hand of Managed Ecosystems: Engaging Communities for Value Creation and Capture
By: Elizabeth J. Altman, Frank Nagle and Michael Tushman
Management research has increasingly explored the domains of ecosystems, platforms, and open/user/distributed innovation—governance structures focused on engaging with external communities. While these research areas include substantial empirical and theoretical work...
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Keywords:
Ecosystems;
Platforms;
Open And User Innovation Strategy;
Capabilities;
Governance;
Innovation Strategy;
Organizational Change and Adaptation;
Value Creation
Altman, Elizabeth J., Frank Nagle, and Michael Tushman. "The Translucent Hand of Managed Ecosystems: Engaging Communities for Value Creation and Capture." Academy of Management Annals 16, no. 1 (January 2022): 70–101.
- December 2021
- Article
Left- and Right-Leaning News Organizations Use Negative Emotional Content and Elicit User Engagement Similarly
By: Andrea Bellovary, Nathaniel Young and Amit Goldenberg
Negativity has historically dominated news content; however, little research has examined how news organizations use affect on social media, where content is generally positive. In the current project we ask a few questions: Do news organizations on Twitter use...
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Keywords:
Negative Press;
Twitter;
Political Affiliation;
Affect;
News;
Media;
Internet and the Web;
Emotions;
Perspective;
Social Media
Bellovary, Andrea, Nathaniel Young, and Amit Goldenberg. "Left- and Right-Leaning News Organizations Use Negative Emotional Content and Elicit User Engagement Similarly." Affective Science 2, no. 4 (December 2021): 391–396.
- 2021
- Article
Does Fair Ranking Improve Minority Outcomes? Understanding the Interplay of Human and Algorithmic Biases in Online Hiring
By: Tom Sühr, Sophie Hilgard and Himabindu Lakkaraju
Ranking algorithms are being widely employed in various online hiring platforms including LinkedIn, TaskRabbit, and Fiverr. Prior research has demonstrated that ranking algorithms employed by these platforms are prone to a variety of undesirable biases, leading to the...
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Sühr, Tom, Sophie Hilgard, and Himabindu Lakkaraju. "Does Fair Ranking Improve Minority Outcomes? Understanding the Interplay of Human and Algorithmic Biases in Online Hiring." Proceedings of the AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society 4th (2021).
- Article
Beyond Individualized Recourse: Interpretable and Interactive Summaries of Actionable Recourses
By: Kaivalya Rawal and Himabindu Lakkaraju
As predictive models are increasingly being deployed in high-stakes decision-making, there has been a lot of interest in developing algorithms which can provide recourses to affected individuals. While developing such tools is important, it is even more critical to...
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Rawal, Kaivalya, and Himabindu Lakkaraju. "Beyond Individualized Recourse: Interpretable and Interactive Summaries of Actionable Recourses." Advances in Neural Information Processing Systems (NeurIPS) 33 (2020).
- November 2020
- Teaching Note
DayTwo: Going to Market with Gut Microbiome
By: Ayelet Israeli
Teaching Note for HBS Case No. 519-010. DayTwo is a young Israeli startup that applies research on the gut microbiome and machine learning algorithms to deliver personalized nutritional recommendations to its users in order to minimize blood sugar spikes after meals....
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Keywords:
Start-up Growth;
Startup;
Positioning;
Targeting;
Go To Market Strategy;
B2B Vs. B2C;
B2B2C;
Health & Wellness;
AI;
Machine Learning;
Female Ceo;
Female Protagonist;
Science-based;
Science And Technology Studies;
Ecommerce;
Applications;
DTC;
Direct To Consumer Marketing;
US Health Care;
"USA,";
Innovation;
Pricing;
Business Growth;
Segmentation;
Distribution Channels;
Growth and Development Strategy;
Business Startups;
Science-Based Business;
Health;
Innovation and Invention;
Marketing;
Information Technology;
Business Growth and Maturation;
E-commerce;
Applications and Software;
Health Industry;
Technology Industry;
Insurance Industry;
Information Technology Industry;
Food and Beverage Industry;
Israel;
United States
- November 2020
- Article
Disrupting the Disruptors or Enhancing Them? How Blockchain Re‐Shapes Two‐Sided Platforms
By: Daniel Trabucchi, Antonella Moretto, Tommaso Buganza and Alan MacCormack
The importance of platform‐based businesses in the modern economy is growing continuously and becoming increasingly relevant. Specifically, the deployment of digital technologies has enhanced the applicability of two‐sided business models, enabling companies to act not...
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Keywords:
Blockchain;
Two-Sided Platforms;
Business Model;
Innovation and Invention;
Technological Innovation
Trabucchi, Daniel, Antonella Moretto, Tommaso Buganza, and Alan MacCormack. "Disrupting the Disruptors or Enhancing Them? How Blockchain Re‐Shapes Two‐Sided Platforms." Journal of Product Innovation Management 37, no. 6 (November 2020): 552–574.
- October 2020 (Revised March 2024)
- Case
Experimentation at Yelp
By: Iavor Bojinov and Karim R. Lakhani
Over the last decade, experimentation has become integral to the research and development processes of technology companies—including Yelp—for understanding customer preferences and mitigating innovation risks. The case describes Yelp's journey with experimentation,...
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Keywords:
Customer Relationship Management;
Collaborative Innovation and Invention;
Risk Management;
Advertising;
Research and Development;
Technology Industry
Bojinov, Iavor, and Karim R. Lakhani. "Experimentation at Yelp." Harvard Business School Case 621-064, October 2020. (Revised March 2024.)
- August 2020 (Revised January 2022)
- Case
1928 Diagnostics: Fighting Antibiotics Resistance
By: Ariel D. Stern and Daniela Beyersdorfer
In 2019, the co-founders of the Swedish medical start-up 1928 Diagnostics, CEO Dr. Kristina Lagerstedt and COO Dr. Susanne Staaf, had to pick the right business model to commercialize their novel technology to hospitals and health care providers. Developed in...
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Keywords:
Health Care and Treatment;
Entrepreneurship;
Leadership;
Science-Based Business;
Growth and Development Strategy;
Business Growth and Maturation;
Business Model;
Information Technology;
Digital Platforms;
Health Disorders;
Market Entry and Exit;
Value Creation;
Business and Stakeholder Relations;
Health Industry;
Medical Devices and Supplies Industry;
Technology Industry;
Europe;
Sweden
Stern, Ariel D., and Daniela Beyersdorfer. "1928 Diagnostics: Fighting Antibiotics Resistance." Harvard Business School Case 621-025, August 2020. (Revised January 2022.)