Filter Results:
(758)
Show Results For
- All HBS Web
(758)
- News (220)
- Research (371)
- Events (12)
- Multimedia (8)
- Faculty Publications (291)
Show Results For
- All HBS Web
(758)
- News (220)
- Research (371)
- Events (12)
- Multimedia (8)
- Faculty Publications (291)
- 30 Oct 2014 - 31 Oct 2014
- Conference Presentation
Making Natural: Coloring Florida Oranges, 1930s-1950s
By: Ai Hisano
Hisano, Ai. "Making Natural: Coloring Florida Oranges, 1930s-1950s." Paper presented at the Hagley Conference, Hagley Museum and Library, Wilmington, DE, October 30–31, 2014.
- 2016
- Conference Presentation
More ‘Natural’ Than Nature: Food Regulation and the Creation of Food Coloring Businesses in the Progressive Era
By: Ai Hisano
- 06 Jun 2017
- First Look
First Look at New Research and Ideas: June 6, 2017
survival of only the most productive domestic firms. We investigate the roles of the two different mechanisms in determining the aggregate productivity gains by exploring their distinct predictions on the distributions of domestic firms:... View Details
Keywords: Sean Silverthorne
- 01 Dec 2023
- News
Case Study: Staking a Claim
Illustration by Nhung Lê Kate Terry (MBA 2005) knows that no one attends their fifth-grade career fair and comes home hoping to pursue a career in insurance—but that’s exactly where she wound up. “I really fell in love with it,” she says.... View Details
- Web
HBS Alumni Conference: Accelerating Climate Solutions - Alumni
scale, and achieve meaningful progress on climate solutions . Through expert panels, case discussions, and networking, participants considered the role of the firm, individual business leaders, and HBS, as well as new business and investment opportunities. The... View Details
- Web
Information Technology | Harvard Business School
Planning and Service Delivery Team Profile By Kellyn Eaddy on April 16, 2025 IT Strategy: Empowering the Future of Generative AI Innovation at HBS By Annie Harrison on March 4,... View Details
- 2022
- Conference Presentation
Towards the Unification and Robustness of Post hoc Explanation Methods
By: Sushant Agarwal, Shahin Jabbari, Chirag Agarwal, Sohini Upadhyay, Steven Wu and Himabindu Lakkaraju
As machine learning black boxes are increasingly being deployed in critical domains such as healthcare and criminal justice, there has been a growing emphasis on developing techniques for explaining these black boxes in a post hoc manner. In this work, we analyze two... View Details
Keywords: AI and Machine Learning
Agarwal, Sushant, Shahin Jabbari, Chirag Agarwal, Sohini Upadhyay, Steven Wu, and Himabindu Lakkaraju. "Towards the Unification and Robustness of Post hoc Explanation Methods." Paper presented at the 3rd Symposium on Foundations of Responsible Computing (FORC), 2022.
- 01 Sep 2023
- News
Global Outposts Expand HBS’s Intellectual Footprint
Since taking over as CEO of Tata Steel in 2013, T. V. Narendran had sought to transform India’s oldest steel manufacturing firm to ready it for a rapidly evolving business world. He instilled financial discipline, acquired new businesses, and launched digital... View Details
Keywords: Jennifer Gillespie
- Web
Globalization - Faculty & Research
competition, and earnings management affect mean reversion in accounting return on assets. Using a sample of 48,465 unique firms from 49 countries, we find that accounting returns mean revert faster in countries where there is more product and capital market... View Details
- April 2024
- Article
A Machine Learning Algorithm Predicting Risk of Dilating VUR among Infants with Hydronephrosis Using UTD Classification
By: Hsin-Hsiao Scott Wang, Michael Lingzhi Li, Dylan Cahill, John Panagides, Tanya Logvinenko, Jeanne Chow and Caleb Nelson
Backgrounds: Urinary Tract Dilation (UTD) classification has been designed to be a more objective grading system to evaluate antenatal and post-natal UTD. Due to unclear association between UTD classifications to specific anomalies such as vesico-ureteral reflux (VUR),... View Details
Wang, Hsin-Hsiao Scott, Michael Lingzhi Li, Dylan Cahill, John Panagides, Tanya Logvinenko, Jeanne Chow, and Caleb Nelson. "A Machine Learning Algorithm Predicting Risk of Dilating VUR among Infants with Hydronephrosis Using UTD Classification." Journal of Pediatric Urology 20, no. 2 (April 2024): 271–278.
- 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).
- 30 Mar 2023
- Blog Post
Breaking Barriers and Building Community: Get to Know the HBS Women’s Student Association (WSA)
and Founding Partner at Imaginary Ventures), and Angela F. Williams (President and CEO of United Way Worldwide) as well as 7 panels and a startup pitch competition. Panel speakers included women execs from big tech, AI startups, medical... View Details
- Web
AASU50 - Alumni
50th Anniversary Keynote Speech, by Henry Louis Gates Jr. Can AI Combat Biases Against Women and People of Color? (Barry Libert presentation) Entrepreneurial Action & The Case for Optimism (Bill Sahlman... View Details
- 17 Jan 2019
- Blog Post
MBA Curriculum Spotlight: Short Intensive Programs (SIPs)
will be a combination of case discussions, guests, panels, and workshops. Fintech: Disruptions in Credit, Payments and Real Estate The advent of new technologies and big data promise to revolutionize the finance world by disintermediate... View Details
- 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).
- January–February 2023
- Article
Data-Driven COVID-19 Vaccine Development for Janssen
By: Dimitris Bertsimas, Michael Lingzhi Li, Xinggang Liu, Jennings Xu and Najat Khan
The COVID-19 pandemic has spurred extensive vaccine research worldwide. One crucial part of vaccine development is the phase III clinical trial that assesses the vaccine for safety and efficacy in the prevention of COVID-19. In this work, we enumerate the first... View Details
Keywords: COVID-19; Health Testing and Trials; Forecasting and Prediction; AI and Machine Learning; Research; Pharmaceutical Industry
Bertsimas, Dimitris, Michael Lingzhi Li, Xinggang Liu, Jennings Xu, and Najat Khan. "Data-Driven COVID-19 Vaccine Development for Janssen." INFORMS Journal on Applied Analytics 53, no. 1 (January–February 2023): 70–84.
- 07 Dec 2022
- Blog Post
2022 Climate Symposium: Tackling Climate Together
achieve our goals. This year's theme 'Tackling Climate Together' is a nod to COP27 but also to our hopes for open collaboration and communication amid a further polarizing world.” The opening keynote address featured Irina Gerry, CMO of Change Foods, who started off... View Details
- 3 Apr 2014 - 5 Apr 2014
- Conference Presentation
Visualizing the Taste: The Federal Policy and Corporate Enterprises of Food Color from the 1880s to the 1930s
By: Ai Hisano
Hisano, Ai. "Visualizing the Taste: The Federal Policy and Corporate Enterprises of Food Color from the 1880s to the 1930s." Paper presented at the Roger Smith Food Tech Conference, New York, NY, April 3–5, 2014.
- 2015
- Conference Presentation
The Color of New Tastes: State Power, Industry, and Hegemony of Vision in Modern Food Stores in the United States, 1870s-1930s
By: Ai Hisano
- Web
Events - Private Capital Project
moderated by Professor Shai Bernstein (Marvin Bower Associate Professor, HBS) and Professor Josh Lerner (Co-head of HBS Private Capital Project) When AI Meets PE 101 December 5, 2023, “When View Details