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(224)
- News (36)
- Research (161)
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- Faculty Publications (86)
Show Results For
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All HBS Web
(224)
- News (36)
- Research (161)
- Events (5)
- Multimedia (3)
- Faculty Publications (86)
- Research Summary
Business and Low Income Sectors: The Creation of Economic and Social Value
By: Michael Chu
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...
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- 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...
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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).
- 30 May 2013
- Working Paper Summaries
Non-Standard Matches and Charitable Giving
- 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,...
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Keywords:
by Michael Blanding
- 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...
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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.)
- 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...
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Keywords:
Carmen Nobel
- 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...
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- 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,...
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- 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...
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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).
- 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...
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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.
- March 2020 (Revised June 2023)
- Case
EyeControl: Inspiring Communication
By: Paul A. Gompers and Danielle Golan
Eye-controlled communication device startup EyeControl was founded in Tel Aviv, Israel in 2016 by cofounders with a shared personal connection to locked-in syndrome—a neurological disorder that left sufferers cognitively sound, yet paralyzed, with the exception of eye...
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Keywords:
Health Disorders;
Communication Technology;
Business Startups;
Expansion;
Finance;
Decision Making;
Social Enterprise;
Medical Devices and Supplies Industry
Gompers, Paul A., and Danielle Golan. "EyeControl: Inspiring Communication." Harvard Business School Case 820-078, March 2020. (Revised June 2023.)
- May 15, 2012
- Article
Ensuring Quality Cancer Care: A Follow-Up Review of the Institute of Medicine’s 10 Recommendations for Improving the Quality of Cancer Care in America
By: Tracy E. Spinks, Heidi W. Albright, Thomas W. Feeley, Ron Walters, Thomas W. Burke, Thomas Aloia, Eduardo Bruera, Aman Buzdar, Lewis Foxhall, David Hui, Barbara Summers, Alma Rodriguez, Raymond DuBois and Kenneth I. Shine
Responding to growing concerns regarding the safety, quality, and efficacy of cancer care in the United States, the Institute of Medicine (IOM) of the National Academy of Sciences commissioned a comprehensive review of cancer care delivery in the US health care system...
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Keywords:
Cancer;
Quality;
Cancer Care In The U.S.;
Quality Improvement;
Health Care and Treatment;
Health Industry;
North and Central America
Spinks, Tracy E., Heidi W. Albright, Thomas W. Feeley, Ron Walters, Thomas W. Burke, Thomas Aloia, Eduardo Bruera, Aman Buzdar, Lewis Foxhall, David Hui, Barbara Summers, Alma Rodriguez, Raymond DuBois, and Kenneth I. Shine. "Ensuring Quality Cancer Care: A Follow-Up Review of the Institute of Medicine’s 10 Recommendations for Improving the Quality of Cancer Care in America." Cancer 118, no. 10 (May 15, 2012): 2571–2582.
- 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).
Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem
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,...
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- 09 May 2013
- Working Paper Summaries
Clusters of Entrepreneurship and Innovation
- May 2024
- Article
Design of Off-Grid Lighting Business Models to Serve the Poor: Field Experiments and Structural Analysis
By: Bhavani Shanker Uppari, Serguei Netessine, Ioanna Popescu and Rowan P. Clarke
A significant proportion of the world's population has no access to grid-based electricity and so relies on off-grid lighting solutions. Rechargeable lamp technology is gaining popularity as an alternative off-grid lighting model in developing countries. In this paper,...
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Keywords:
Technological Innovation;
Developing Countries and Economies;
Consumer Behavior;
Poverty;
Logistics;
Business Model;
Utilities Industry
Uppari, Bhavani Shanker, Serguei Netessine, Ioanna Popescu, and Rowan P. Clarke. "Design of Off-Grid Lighting Business Models to Serve the Poor: Field Experiments and Structural Analysis." Management Science 70, no. 5 (May 2024): 3038–3058.
- 25 Jul 2017
- First Look
First Look at New Research and Ideas: July 25, 2017
forthcoming Journal of Political Economy Reserve Design: Unintended Consequences and the Demise of Boston's Walk Zones By: Dur, Umut, Scott Duke Kominers, Parag A. Pathak, and Tayfun Sönmez Abstract—Admissions policies often use reserves to grant certain applicants...
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Keywords:
Carmen Nobel
- January 2020
- Case
Celata Bioinnovations
By: John R. Wells and Benjamin Weinstock
In December 2019, Jon Hu (HBS ‘19) and Dr. Samantha Dale Strasser, co-founders of Celata Bioinnovations, were raising $1 million to launch their company. They had founded Celata less than six months earlier with the aim of redefining the drug discovery process....
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Keywords:
Drug Development;
Drug Discovery;
Drug Trials;
Pharmaceutical Companies;
Pharmaceutical Company;
Pharmaceuticals;
Therapeutics;
Biologics;
Biotech;
Biotechnology;
Biopharmacy Company;
Biochemistry;
Technology Commercialization;
Technology Companies;
Drug Testing;
Startup;
Start-up;
Startups;
Start-ups;
Startup Financing;
Strategic Decision Making;
Strategic Decisions;
Strategic Evolution;
FDA;
Food And Drug Administration;
Clinical Trials;
Disease Management;
Market Attractiveness;
Market Entry;
Market Opportunities;
Health Disorders;
Technological Innovation;
Information Technology;
Commercialization;
Business Startups;
Finance;
Decision Making;
Strategy;
Market Entry and Exit;
Opportunities;
Pharmaceutical Industry;
Biotechnology Industry
Wells, John R., and Benjamin Weinstock. "Celata Bioinnovations." Harvard Business School Case 720-427, January 2020.
- 29 Jan 2019
- HBS Seminar
Bryan Bollinger, Fuqua School of Business at Duke University
- Web
Impact Investments
profiles are realistic? How are impact investments structured to maximize efficacy and how can the dual goals of building both financial and social value through investments most effectively be achieved? The Project on Impact Investments...
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