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Show Results For
- All HBS Web
(242)
- News (37)
- Research (162)
- Events (6)
- Multimedia (3)
- Faculty Publications (89)
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- Research Summary
Knowledge flows and capability acquisition
By: Willy C. Shih
Technological advancements are a major source of improvement in competiveness, and a firm’s incentives to invest are diminished when the knowledge generated is involuntarily dispersed to competitors. While intellectual property rights can moderate this flow to the... View Details
- 2012
- Working Paper
School Accountability and Principal Mobility: How No Child Left Behind Affects the Allocation of School Leaders
By: Danielle Li
The move toward increased school accountability may substantially affect the career risks that school leaders face without providing commensurate changes in pay. Since effective school leaders likely have significant scope in choosing where to work, these uncompensated... View Details
Li, Danielle. "School Accountability and Principal Mobility: How No Child Left Behind Affects the Allocation of School Leaders." Harvard Business School Working Paper, No. 16-052, October 2015.
- Teaching Interest
MBA Elective Curriculum: Investment Strategies
By: Malcolm P. Baker
This is a CORE course for students pursuing careers in finance. Thus, students interested in pursuing careers in mutual funds, hedge funds, pension funds, endowments, wealth management, financial consulting, marketing and client service, sales and trading,... View Details
- 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... View Details
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.
- September 2013
- Article
Testimonials Do Not Convert Patients from Brand to Generic Medication
By: John Beshears, James J. Choi, David Laibson, Brigitte C. Madrian and Gwendolyn Reynolds
Objectives: To assess whether the addition of a peer testimonial to an informational mailing increases conversion rates from brand name prescription medications to lower-cost therapeutic equivalents, and whether the testimonial's efficacy increases when... View Details
Keywords: Testimonial; Peer Information; Social Proximity; Communication; Generic Medication; Familiarity; Marketing Communications; Decision Choices and Conditions; Identity; Health Care and Treatment; Marketing Reference Programs; Power and Influence; Brands and Branding; Health Industry
Beshears, John, James J. Choi, David Laibson, Brigitte C. Madrian, and Gwendolyn Reynolds. "Testimonials Do Not Convert Patients from Brand to Generic Medication." American Journal of Managed Care 19, no. 9 (September 2013): e314–e316.
- 2017
- Working Paper
Carbon Tariffs: Effects in Settings with Technology Choice and Foreign Production Cost Advantage
By: David F. Drake
Emissions regulation is a policy mechanism intended to address the threat of climate change. However, the stringency of emissions regulation varies across regions, raising concerns over carbon leakage—an outcome where stringent regulation in one region shifts... View Details
Keywords: Technology; Competition; Pollutants; Taxation; Environmental Sustainability; Globalized Markets and Industries
Drake, David F. "Carbon Tariffs: Effects in Settings with Technology Choice and Foreign Production Cost Advantage." Harvard Business School Working Paper, No. 13-021, August 2012. (Revised August 2017. Forthcoming at Manufacturing & Service Operations Management.)
- 2023
- Article
Towards Bridging the Gaps between the Right to Explanation and the Right to Be Forgotten
By: Himabindu Lakkaraju, Satyapriya Krishna and Jiaqi Ma
The Right to Explanation and the Right to be Forgotten are two important principles outlined to regulate algorithmic decision making and data usage in real-world applications. While the right to explanation allows individuals to request an actionable explanation for an... View Details
Keywords: Analytics and Data Science; AI and Machine Learning; Decision Making; Governing Rules, Regulations, and Reforms
Lakkaraju, Himabindu, Satyapriya Krishna, and Jiaqi Ma. "Towards Bridging the Gaps between the Right to Explanation and the Right to Be Forgotten." Proceedings of the International Conference on Machine Learning (ICML) 40th (2023): 17808–17826.
- 2020
- Working Paper
Fresh Fruit and Vegetable Consumption: The Impact of Access and Value
By: Retsef Levi, Elisabeth Paulson and Georgia Perakis
The goal of this paper is to leverage household-level data to improve food-related policies aimed at increasing the consumption of fruits and vegetables (FVs) among low-income households. Currently, several interventions target areas where residents have limited... View Details
Keywords: Food Deserts; Food Access; Food Policy; Causal Inference; Food; Nutrition; Poverty; Government Administration
Levi, Retsef, Elisabeth Paulson, and Georgia Perakis. "Fresh Fruit and Vegetable Consumption: The Impact of Access and Value." MIT Sloan Research Paper, No. 5389-18, October 2020.
- 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... View Details
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).
- 30 May 2013
- Working Paper Summaries
Non-Standard Matches and Charitable Giving
- Research Summary
Business and Low Income Sectors: The Creation of Economic and Social Value
In the last three decades, innovative commercial solutions have emerged in developing nations focusing on providing effective responses to the hugely underserved needs of low-income populations, both as consumers as well as active participants in productive value... View Details
- 05 Sep 2023
- Book
Failing Well: How Your ‘Intelligent Failure’ Unlocks Your Full Potential
acid deficiency. When the drug was reformulated with folic acid, it passed its efficacy trials, eventually becoming a multibillion-dollar pharmaceutical that helped thousands of lung cancer patients. How to fail intelligently Edmondson,... View Details
Keywords: by Michael Blanding
- Article
Reliable Post hoc Explanations: Modeling Uncertainty in Explainability
By: Dylan Slack, Sophie Hilgard, Sameer Singh and Himabindu Lakkaraju
As black box explanations are increasingly being employed to establish model credibility in high stakes settings, it is important to ensure that these explanations are accurate and reliable. However, prior work demonstrates that explanations generated by... View Details
Keywords: Black Box Explanations; Bayesian Modeling; Decision Making; Risk and Uncertainty; Information Technology
Slack, Dylan, Sophie Hilgard, Sameer Singh, and Himabindu Lakkaraju. "Reliable Post hoc Explanations: Modeling Uncertainty in Explainability." Advances in Neural Information Processing Systems (NeurIPS) 34 (2021).
- 2021
- Article
Fair Influence Maximization: A Welfare Optimization Approach
By: Aida Rahmattalabi, Shahin Jabbari, Himabindu Lakkaraju, Phebe Vayanos, Max Izenberg, Ryan Brown, Eric Rice and Milind Tambe
Several behavioral, social, and public health interventions, such as suicide/HIV prevention or community preparedness against natural disasters, leverage social network information to maximize outreach. Algorithmic influence maximization techniques have been proposed... View Details
Rahmattalabi, Aida, Shahin Jabbari, Himabindu Lakkaraju, Phebe Vayanos, Max Izenberg, Ryan Brown, Eric Rice, and Milind Tambe. "Fair Influence Maximization: A Welfare Optimization Approach." Proceedings of the AAAI Conference on Artificial Intelligence 35th (2021).
- 17 Dec 2013
- First Look
First Look: December 17
Publications August 2013 Harvard Business Review Press Can China Lead? Reaching the Limits of Power and Growth By: Abrami, Regina M., William C. Kirby, and F. Warren McFarlan Abstract—At the time of the American Revolution, China was the strongest, richest, and most... View Details
Keywords: Carmen Nobel
- 2014
- Working Paper
Bridging Science and Technology Through Academic-Industry Partnerships
By: Sen Chai and Willy C. Shih
Scientific research and its translation into commercialized technology is a driver of wealth creation and economic growth. Partnerships to foster the translational processes from public research organizations, such as universities and hospitals, to private firms are a... View Details
Keywords: Innovation; Firm Performance; Public-private Partnership Funding; Translational Research; Small And Medium Enterprises; Partners and Partnerships; Public Sector; Private Sector; Performance; Science-Based Business; Innovation and Invention
Chai, Sen, and Willy C. Shih. "Bridging Science and Technology Through Academic-Industry Partnerships." Harvard Business School Working Paper, No. 13-058, January 2013. (Revised July 2014.)
- 11 Apr 2017
- First Look
First Look at New Research, April 11
forthcoming Journal of Accounting & Economics Career Concerns of Banking Analysts By: Horton, Joanne, George Serafeim, and Shan Wu Abstract—We study how career concerns influence banking analysts' forecasts and how their forecasting behavior benefits both them and... View Details
- Research Summary
Of Measurement and Mission: Accounting for Performance in Non-Governmental Organizations
By: Debora L. Spar
As members of civil society NGOs would seem to have a built-in proclivity towards representation: towards working on behalf of some group of people, or toward some specific goal. Yet in practice such moments of accountability are rare. Unlike other social agents,... View Details
- 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... View Details
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).
- October–December 2022
- Article
Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem
By: Mochen Yang, Edward McFowland III, Gordon Burtch and Gediminas Adomavicius
Combining machine learning with econometric analysis is becoming increasingly prevalent in both research and practice. A common empirical strategy involves the application of predictive modeling techniques to "mine" variables of interest from available data, followed... View Details
Keywords: Machine Learning; Econometric Analysis; Instrumental Variable; Random Forest; Causal Inference; AI and Machine Learning; Forecasting and Prediction
Yang, Mochen, Edward McFowland III, Gordon Burtch, and Gediminas Adomavicius. "Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem." INFORMS Journal on Data Science 1, no. 2 (October–December 2022): 138–155.