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Show Results For
- All HBS Web
(839)
- News (216)
- Research (354)
- Events (12)
- Multimedia (8)
- Faculty Publications (282)
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- 2015
- Conference Presentation
Creating ‘Natural’ Yellow: The Development of the American Dairy Industry at the Turn of the Twentieth Century
By: Ai Hisano
- 2015
- Dictionary Entry
Consistency of Food Products/Ingredients
By: Ai Hisano
Hisano, Ai. "Consistency of Food Products/Ingredients." In The SAGE Encyclopedia of Food Issues, edited by Ken Albala, 280–282. Thousand Oaks, CA: SAGE Publications, 2015.
- Summer 2013
- Article
Negotiating Taste: Food Market Research in the Hagley Library
By: Ai Hisano
Hisano, Ai. "Negotiating Taste: Food Market Research in the Hagley Library." Digest: A Journal of Foodways and Culture 2 (Summer 2013).
- 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... View Details
Li, Michael Lingzhi, and Kosuke Imai. "Neyman Meets Causal Machine Learning: Experimental Evaluation of Individualized Treatment Rules." Journal of Causal Inference 12, no. 1 (2024).
- October 2015 (Revised October 2016)
- Case
Building Watson: Not So Elementary, My Dear! (Abridged)
By: Willy C. Shih
This case is set inside IBM Research's efforts to build a computer that can successfully take on human challengers playing the game show Jeopardy! It opens with the machine named Watson offering the incorrect answer "Toronto" to a seemingly simple question during the... View Details
Keywords: Analytics; Big Data; Business Analytics; Product Development Strategy; Machine Learning; Machine Intelligence; Artificial Intelligence; Product Development; AI and Machine Learning; Information Technology; Analytics and Data Science; Information Technology Industry; United States
Shih, Willy C. "Building Watson: Not So Elementary, My Dear! (Abridged)." Harvard Business School Case 616-025, October 2015. (Revised October 2016.)
- April 2023
- Article
On the Privacy Risks of Algorithmic Recourse
By: Martin Pawelczyk, Himabindu Lakkaraju and Seth Neel
As predictive models are increasingly being employed to make consequential decisions, there is a growing emphasis on developing techniques that can provide algorithmic recourse to affected individuals. While such recourses can be immensely beneficial to affected... View Details
Pawelczyk, Martin, Himabindu Lakkaraju, and Seth Neel. "On the Privacy Risks of Algorithmic Recourse." Proceedings of the International Conference on Artificial Intelligence and Statistics (AISTATS) 206 (April 2023).
- 2023
- Working Paper
Sending Signals: Strategic Displays of Warmth and Competence
By: Bushra S. Guenoun and Julian J. Zlatev
Using a combination of exploratory and confirmatory approaches, this research examines how
people signal important information about themselves to others. We first train machine learning
models to assess the use of warmth and competence impression management... View Details
Keywords: AI and Machine Learning; Personal Characteristics; Perception; Interpersonal Communication
Guenoun, Bushra S., and Julian J. Zlatev. "Sending Signals: Strategic Displays of Warmth and Competence." Harvard Business School Working Paper, No. 23-051, February 2023.
- 11 Jan 2015
- Talk
Processed Foods in the Early-Twentieth-Century United States
By: Ai Hisano
Hisano, Ai. "Processed Foods in the Early-Twentieth-Century United States." Culinary Historians of Washington D.C. Meeting, Culinary Historians of Washington, D.C., Washington, DC, January 11, 2015.
- 2015
- Talk
Creating 'Natural Yellow' for Butter and Oleomargarine
By: Ai Hisano
Hisano, Ai. "Creating 'Natural Yellow' for Butter and Oleomargarine." National Museum of American History Colloquium, 2015.
- 4 Oct 2012 - 6 Oct 2012
- Conference Presentation
Geography of Taste: The Construction of American Wine Culture, 1967-1976
By: Ai Hisano
Hisano, Ai. "Geography of Taste: The Construction of American Wine Culture, 1967-1976." Paper presented at the Foodways: Diasporic Diners, Transnational Tables and Culinary Connections, Center for Diaspora and Transnational Studies, University of Toronto, Toronto, ON, Canada, October 4–6, 2012.
- 16 Jun 2011 - 18 Jun 2011
- Conference Presentation
The Romanticization of Home-cooking: Betty Crocker and Ideal Womanhood in the Early Twentieth-century United States
By: Ai Hisano
Hisano, Ai. "The Romanticization of Home-cooking: Betty Crocker and Ideal Womanhood in the Early Twentieth-century United States." Paper presented at the Food and Drink: Their Social, Political, Cultural Histories, University of Central Lancashire, Lancashire, UK, June 16–18, 2011.
- 2015
- Chapter
Food Additives
By: Ai Hisano
Hisano, Ai. "Food Additives." In The SAGE Encyclopedia of Food Issues, edited by Ken Albala, 526–531. Thousand Oaks, CA: Sage Publications, 2015.
- Article
Betty Crocker no hyōshō to amerika shakai no hensen [The Portraits of Betty Crocker and the Transformation of American Society]
By: Ai Hisano
Hisano, Ai. "Betty Crocker no hyōshō to amerika shakai no hensen [The Portraits of Betty Crocker and the Transformation of American Society]." Amerika Taiheiyō kenkyū [Pacific and American Studies] 9 (March 2009): 128–141.
- Article
Home Cooking: Betty Crocker and Womanhood in Early Twentieth-Century America
By: Ai Hisano
Hisano, Ai. "Home Cooking: Betty Crocker and Womanhood in Early Twentieth-Century America." Special Issue on Food. Japanese Journal of American Studies, no. 21 (2010): 211–230.
- February 26, 2024
- Article
Making Workplaces Safer Through Machine Learning
By: Matthew S. Johnson, David I. Levine and Michael W. Toffel
Machine learning algorithms can dramatically improve regulatory effectiveness. This short article describes the authors' scholarly work that shows how the U.S. Occupational Safety and Health Administration (OSHA) could have reduced nearly twice as many occupational... View Details
Keywords: Government Experimentation; Auditing; Inspection; Evaluation; Process Improvement; Government Administration; AI and Machine Learning; Safety; Governing Rules, Regulations, and Reforms
Johnson, Matthew S., David I. Levine, and Michael W. Toffel. "Making Workplaces Safer Through Machine Learning." Regulatory Review (February 26, 2024).
- 2023
- Working Paper
The Optimal Stock Valuation Ratio
By: Sebastian Hillenbrand and Odhrain McCarthy
Trailing price ratios, such as the price-dividend and the price-earnings ratio, scale prices by trailing cash flow measures. They theoretically contain expected returns, yet, their performance in predicting stock market returns is poor. This is because of an omitted... View Details
Keywords: Price; Investment Return; AI and Machine Learning; Valuation; Cash Flow; Forecasting and Prediction
Hillenbrand, Sebastian, and Odhrain McCarthy. "The Optimal Stock Valuation Ratio." Working Paper, November 2023.
- January–February 2023
- Article
Forecasting COVID-19 and Analyzing the Effect of Government Interventions
By: Michael Lingzhi Li, Hamza Tazi Bouardi, Omar Skali Lami, Thomas Trikalinos, Nikolaos Trichakis and Dimitris Bertsimas
We developed DELPHI, a novel epidemiological model for predicting detected cases and deaths in the prevaccination era of the COVID-19 pandemic. The model allows for underdetection of infections and effects of government interventions. We have applied DELPHI across more... View Details
Keywords: COVID-19 Pandemic; Epidemics; Analytics and Data Science; Health Pandemics; AI and Machine Learning; Forecasting and Prediction
Li, Michael Lingzhi, Hamza Tazi Bouardi, Omar Skali Lami, Thomas Trikalinos, Nikolaos Trichakis, and Dimitris Bertsimas. "Forecasting COVID-19 and Analyzing the Effect of Government Interventions." Operations Research 71, no. 1 (January–February 2023): 184–201.
- June 2020
- Article
Real-time Data from Mobile Platforms to Evaluate Sustainable Transportation Infrastructure
By: Omar Isaac Asensio, Kevin Alvarez, Arielle Dror, Emerson Wenzel, Catharina Hollauer and Sooji Ha
By displacing gasoline and diesel fuels, electric cars and fleets reduce emissions from the transportation sector, thus offering important public health benefits. However, public confidence in the reliability of charging infrastructure remains a fundamental barrier to... View Details
Keywords: Environmental Sustainability; Transportation; Infrastructure; Behavior; AI and Machine Learning; Demand and Consumers
Asensio, Omar Isaac, Kevin Alvarez, Arielle Dror, Emerson Wenzel, Catharina Hollauer, and Sooji Ha. "Real-time Data from Mobile Platforms to Evaluate Sustainable Transportation Infrastructure." Nature Sustainability 3, no. 6 (June 2020): 463–471.
- 2019
- Article
An Empirical Study of Rich Subgroup Fairness for Machine Learning
By: Michael J Kearns, Seth Neel, Aaron Leon Roth and Zhiwei Steven Wu
Kearns et al. [2018] recently proposed a notion of rich subgroup fairness intended to bridge the gap between statistical and individual notions of fairness. Rich subgroup fairness picks a statistical fairness constraint (say, equalizing false positive rates across... View Details
Kearns, Michael J., Seth Neel, Aaron Leon Roth, and Zhiwei Steven Wu. "An Empirical Study of Rich Subgroup Fairness for Machine Learning." Proceedings of the Conference on Fairness, Accountability, and Transparency (2019): 100–109.
- 30 Jan 2018
- First Look
January 30, 2018
historically, only government-subsidized products have achieved widespread adoption. A recent contractual innovation, which links insurance payouts to realized weather rather than farmer indemnity, has spurred substantial research in the past decade. This review begins... View Details
Keywords: Sean Silverthorne