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Show Results For
- All HBS Web
(758)
- News (220)
- Research (371)
- Events (12)
- Multimedia (8)
- Faculty Publications (291)
- Web
Scaling Work - Research Computing Services
is easiest to use but limited to the features offered by your application or programming language. Most of the applications commonly used for data analysis on the HBSGrid provide some degree of implicit parallelization. The system-wide... View Details
- 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... View Details
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.
- Web
2024 Reunion Presentations - Alumni
downsides of the emerging platform economy, how AI will impact the digital economy, and the strategic challenges faced by business leaders and regulators alike. 11:45 a.m.-1:00 p.m. EDT A Profound Threat:... View Details
- Web
Student Spotlight: 2023 HCC Co-Presidents Reflect on Their Time at HBS and the Current Health Care Systems - Blog: Health Supplement
classmates–especially including the MD/MBAs–and taking classes such as Transforming Health Care Delivery with Ariel Stern. Additionally, I began developing hands-on experience of new areas within health care by starting my own venture,... View Details
- April 2025
- Case
Breezm: Innovative 3D-Printed Eyewear (A)
By: Juan Alcácer, Brian Mao Fu and Adina Wong
In 2023, Breezm, a South Korean startup, faced a strategic decision about how to grow its innovative 3D-printed, custom-fit eyewear business. Co-founded in 2017 by Zenma Park and Wooseok Sung, Breezm combined facial scanning, AI, and in-house production to solve the... View Details
Keywords: 3D Printing; Eyeyewear; Growth; Business Startups; AI and Machine Learning; Technological Innovation; Growth and Development Strategy; Risk and Uncertainty; Expansion; South Korea
Alcácer, Juan, Brian Mao Fu, and Adina Wong. "Breezm: Innovative 3D-Printed Eyewear (A)." Harvard Business School Case 725-376, April 2025.
- 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.
- 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.
- Web
Disruptive Innovation Online Course | HBS Online
WRH's Dilemma Show Hide Details Concepts Introduction Three Types of Innovation Some Finer Details About Disruption WR Hambrecht and the Google IPO Applying Innovation and Disruption to You Featured Exercises Reflection: Blockbuster’s Demise View Details
- 01 Dec 2022
- News
Future Vision
created by Professor Mitch Weiss for students in The Entrepreneurial Manager. In class, students negotiate terms for a pool of VC money. The simulation draws on PitchBook data from real pitches, and it uses View Details
- 26 Apr 2020
- Other Presentation
Towards Modeling the Variability of Human Attention
By: Kuno Kim, Megumi Sano, Julian De Freitas, Daniel Yamins and Nick Haber
Children exhibit extraordinary exploratory behaviors hypothesized to contribute to the building of models of their world. Harnessing this capacity in artificial systems promises not only more flexible technology but also cognitive models of the developmental processes... View Details
Keywords: Exploratory Learning Behaviors; Modeling; Artificial Intelligence; AI and Machine Learning
Kim, Kuno, Megumi Sano, Julian De Freitas, Daniel Yamins, and Nick Haber. "Towards Modeling the Variability of Human Attention." In Bridging AI and Cognitive Science (BAICS) Workshop. 8th International Conference on Learning Representations (ICLR), April 26, 2020.
- 29 Jun 2022
- Blog Post
Harvard Business School Announces the 2022-2023 Blavatnik Fellows
Harvard-affiliated postdocs as they build their promising life science ventures by developing their leadership talents and providing mentorship and community during their entrepreneurial journey. To date, Blavatnik Fellows have created 30... View Details
- 26 Jan 2024
- Blog Post
Career Advice from the Guests of the HBS Climate Rising Podcast
be impacted by the effects of climate change, so it is critical to have people in many areas who want to find solutions and drive forward the climate agenda. Every role will need to take climate action and every organization will need... View Details
- 2023
- Article
Post Hoc Explanations of Language Models Can Improve Language Models
By: Satyapriya Krishna, Jiaqi Ma, Dylan Slack, Asma Ghandeharioun, Sameer Singh and Himabindu Lakkaraju
Large Language Models (LLMs) have demonstrated remarkable capabilities in performing complex tasks. Moreover, recent research has shown that incorporating human-annotated rationales (e.g., Chain-of-Thought prompting) during in-context learning can significantly enhance... View Details
Krishna, Satyapriya, Jiaqi Ma, Dylan Slack, Asma Ghandeharioun, Sameer Singh, and Himabindu Lakkaraju. "Post Hoc Explanations of Language Models Can Improve Language Models." Advances in Neural Information Processing Systems (NeurIPS) (2023).
- 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).
- Web
Entrepreneurial Management Awards & Honors - Faculty & Research
one of 100 Black Board Members Making a Difference by Board Prospects in 2024. Archie L. Jones : Received the 2024 Dr. James I. Cash Advancing Pathways Award. Olivia S. Kim : Winner of the 2024 Best Paper Award at the Red Rock Finance... View Details