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Publications

Publications

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  • All HBS Web  (491)
    • News  (148)
    • Research  (225)
    • Events  (7)
    • Multimedia  (6)
  • Faculty Publications  (179)

Show Results For

  • All HBS Web  (491)
    • News  (148)
    • Research  (225)
    • Events  (7)
    • Multimedia  (6)
  • Faculty Publications  (179)
← Page 15 of 491 Results →
  • 28 Feb 2018
  • Sharpening Your Skills

Master the Team Meeting

monkeybusinessimages No matter how much we hate going to meetings, there’s a generally accepted best practice that teams should meet with their managers on a regular cadence. More often than not, unfortunately, I hear leaders and their... View Details
Keywords: by Julia Austin
  • Web

Design Thinking Course | HBS Online

would phrase it to a human TA. If you have a question pertaining to where or how to submit certain assignments, or one relating to deadlines or time estimates, you can also express those in a similar fashion. Please note that no preexisting familiarity or experience... View Details
  • 25 Jun 2024
  • Research & Ideas

How Transparency Sped Innovation in a $13 Billion Wireless Sector

products. But, in general, I would have to say the more partners, the better.” You Might Also Like: Open Source Software: The $9 Trillion Resource Companies Take for Granted How to Make AI 'Forget' All the Private Data It Shouldn't Have... View Details
Keywords: by Jay Fitzgerald; Technology
  • Web

Sample Student Projects - Institute For Strategy And Competitiveness

Design Cluster (2007) Dominican Republic The Dominican Republic Tourism Cluster (2012) Tourism in the Dominican Republic (2007) Egypt The Textile Cluster in Egypt (2012) The Offshoring Cluster in Egypt (2009) France France's Competitiveness in View Details
  • November 2023
  • Case

Open Source Machine Learning at Google

By: Shane Greenstein, Martin Wattenberg, Fernanda B. Viégas, Daniel Yue and James Barnett
Set in early 2023, the case exposes students to the challenges of managing open source software at Google. The case focuses on the challenges for Alex Spinelli, Vice President of Product Management for Core Machine Learning. He must set priorities for Google’s efforts... View Details
Keywords: Decision Choices and Conditions; Technological Innovation; Open Source Distribution; Strategy; AI and Machine Learning; Applications and Software; Technology Industry; United States
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Greenstein, Shane, Martin Wattenberg, Fernanda B. Viégas, Daniel Yue, and James Barnett. "Open Source Machine Learning at Google." Harvard Business School Case 624-015, November 2023.
  • Web

Newsletters | Baker Library

Newsletters Baker Library curates newsletters on various topics and industries for members of the HBS community. Sign up for our newsletters Industry Highlights Newsletters Inclusion and Belonging Newsletter Generative View Details
  • 01 Dec 2023
  • News

Rounding the Bend

need to secure access to responsibly sourced materials to generate new garments to sell. They are very positive about being a part of the cycle, and I think their numbers will increase dramatically in the very near term,” she says. RESALE... View Details
Keywords: Jen McFarland Flint; Miscellaneous Store Retailers; Retail Trade; Apparel Manufacturing; Manufacturing
  • 2024
  • Article

Learning Under Random Distributional Shifts

By: Kirk Bansak, Elisabeth Paulson and Dominik Rothenhäusler
Algorithmic assignment of refugees and asylum seekers to locations within host countries has gained attention in recent years, with implementations in the U.S. and Switzerland. These approaches use data on past arrivals to generate machine learning models that can... View Details
Keywords: AI and Machine Learning; Refugees; Employment
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Bansak, Kirk, Elisabeth Paulson, and Dominik Rothenhäusler. "Learning Under Random Distributional Shifts." Proceedings of the International Conference on Artificial Intelligence and Statistics (AISTATS) 27th (2024).
  • 22 Nov 2023
  • News

So You Want to Join a Startup

are, what are you good at? What are you interested in? What are your passions? Where do you think you can add value to an organization? And I touch on the general topic of, are you a startup person and what does it mean to work in a... View Details
  • 2023
  • Chapter

Marketing Through the Machine’s Eyes: Image Analytics and Interpretability

By: Shunyuan Zhang, Flora Feng and Kannan Srinivasan
he growth of social media and the sharing economy is generating abundant unstructured image and video data. Computer vision techniques can derive rich insights from unstructured data and can inform recommendations for increasing profits and consumer utility—if only the... View Details
Keywords: Transparency; Marketing Research; Algorithmic Bias; AI and Machine Learning; Marketing
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Zhang, Shunyuan, Flora Feng, and Kannan Srinivasan. "Marketing Through the Machine’s Eyes: Image Analytics and Interpretability." Chap. 8 in Artificial Intelligence in Marketing. 20, edited by Naresh K. Malhotra, K. Sudhir, and Olivier Toubia, 217–238. Review of Marketing Research. Emerald Publishing Limited, 2023.
  • 09 Apr 2024
  • Research & Ideas

When Climate Goals, Housing Policy, and Corporate R&D Collide, Social Good Can Emerge

For almost four years, Omar Asensio and his colleagues have been studying the impact of federal energy programs on low-income neighborhoods. The intersection of technology—artificial intelligence, in particular—and public policy has long been an area of focus for... View Details
Keywords: by Glen Justice
  • 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
Keywords: Forecasting and Prediction; AI and Machine Learning; Outcome or Result
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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.
  • 2023
  • Article

Benchmarking Large Language Models on CMExam—A Comprehensive Chinese Medical Exam Dataset

By: Junling Liu, Peilin Zhou, Yining Hua, Dading Chong, Zhongyu Tian, Andrew Liu, Helin Wang, Chenyu You, Zhenhua Guo, Lei Zhu and Michael Lingzhi Li
Recent advancements in large language models (LLMs) have transformed the field of question answering (QA). However, evaluating LLMs in the medical field is challenging due to the lack of standardized and comprehensive datasets. To address this gap, we introduce CMExam,... View Details
Keywords: Large Language Model; AI and Machine Learning; Analytics and Data Science; Health Industry
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Liu, Junling, Peilin Zhou, Yining Hua, Dading Chong, Zhongyu Tian, Andrew Liu, Helin Wang, Chenyu You, Zhenhua Guo, Lei Zhu, and Michael Lingzhi Li. "Benchmarking Large Language Models on CMExam—A Comprehensive Chinese Medical Exam Dataset." Conference on Neural Information Processing Systems (NeurIPS), Datasets and Benchmarks Track 36 (2023).
  • 28 Sep 2023
  • News

Screen Time

times to accommodate people in several time zones.” MBA 1982 Section B MBA 1982 Section B Melissa Weiksnar (MBA 1982), also on the committee, says the content of the virtual meetings ranges widely, with ideas for discussion topics View Details
Keywords: Margie Kelley
  • Web

Winners & Runners-Up | New Venture Competition

healthier alternative candy bar snack. Business Track, 2025 Argus Systems Lisa Yan (MBA 2025) Drew Borinstein (MBA 2025) Business Track Winner Accelerating AI model development for physical AI. HydroHaul Eli Litchman (MBA 2025) Fenil... View Details
  • Web

Courses by Faculty Unit - Course Catalog

and Valuation Using Financial Statements Joseph Pacelli Fall 2025 Q1Q2 3.0 Yuan Zou Spring 2026 Q3Q4 3.0 Changing the World: Life Choices of Influential Leaders (also listed under General Management) Robert Simons Fall 2025 Q1Q2 3.0 View Details
  • 19 Sep 2023
  • Blog Post

2023 Summer Internships in Business & Environment

was a R&D Engineer at Edwards Lifesciences. Karishma Gajaria (MBA 2024, Section J), Summer Internship: Associate, Corporate Development, Electric Hydrogen Electric Hydrogen (‘EH2’) is creating a new generation of electrolyzer... View Details
  • 12 May 2009
  • First Look

First Look: May 12, 2009

work together to achieve better results and include the recipients in the process? Purchase this note: http://hbsp.harvard.edu/b01/en/common/item_detail.jhtml?id=909406 Generation Investment Management Harvard Business School Case 609-057... View Details
Keywords: Martha Lagace
  • Web

Machine Learning frameworks (Tensorflow, PyTorch, Keras, OpenCV) - Research Computing Services

v1.19 scipy 1.5 pandas v1.1 scikitlearn v0.23 matplotlib v3.3 the Spyder IDE v4.1 The AI environment can be loaded using the following command in your terminal window: module load AI/python.3.7.7 To learn more about software modules on... View Details
  • Web

Strategy Execution Online Course | HBS Online

in nature), but the ability of the bot to handle such queries may be limited or absent at this time. Please note that no preexisting familiarity or experience with generative AI is necessary or assumed to... View Details
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