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Show Results For
- All HBS Web
(511)
- News (113)
- Research (235)
- Events (3)
- Multimedia (12)
- Faculty Publications (148)
Seth Neel
Seth Neel is an Assistant Professor housed in the Department of Technology and Operations Management (TOM) at HBS, and a Faculty Affiliate in Computer Science at SEAS. He is Principal Investigator of the Trustworthy AI Lab in Harvard's new View Details
- September 2020 (Revised June 2023)
- Exercise
Artea: Designing Targeting Strategies
By: Eva Ascarza and Ayelet Israeli
This collection of exercises aims to teach students about 1)Targeting Policies; and 2)Algorithmic bias in marketing—implications, causes, and possible solutions. Part (A) focuses on A/B testing analysis and targeting. Parts (B),(C),(D) Introduce algorithmic bias. The... View Details
Keywords: Algorithmic Data; Race And Ethnicity; Experimentation; Promotion; ＂Marketing Analytics＂; Marketing And Society; Big Data; Privacy; Data-driven Management; Data Analytics; Data Analysis; E-Commerce Strategy; Discrimination; Targeted Advertising; Targeted Policies; Targeting; Pricing Algorithms; A/B Testing; Ethical Decision Making; Customer Base Analysis; Customer Heterogeneity; Coupons; Algorithmic Bias; Marketing; Race; Gender; Diversity; Customer Relationship Management; Marketing Communications; Advertising; Decision Making; Ethics; E-commerce; Analytics and Data Science; Retail Industry; Apparel and Accessories Industry; United States
Ascarza, Eva, and Ayelet Israeli. "Artea: Designing Targeting Strategies." Harvard Business School Exercise 521-021, September 2020. (Revised June 2023.)
- 18 Aug 2020
- News
Testing New Contact Tracing Approaches in a Pandemic
- November 2023
- Article
Federated Electronic Health Records for the European Health Data Space
By: René Raab, Arne Küderle, Anastasiya Zakreuskaya, Ariel Dora Stern, Jochen Klucken, Georgios Kaissis, Daniel Rueckert, Susanne Boll, Roland Eils, Harald Wagener and Bjoern Eskofier
The European Commission's draft for the European Health Data Space (EHDS) aims to empower citizens to access their personal health data and share it with physicians and other health-care providers. It further defines procedures for the secondary use of electronic... View Details
Keywords: Analytics and Data Science; Cybersecurity; Information Management; Knowledge Sharing; Knowledge Use and Leverage; Health Industry
Raab, René, Arne Küderle, Anastasiya Zakreuskaya, Ariel Dora Stern, Jochen Klucken, Georgios Kaissis, Daniel Rueckert, Susanne Boll, Roland Eils, Harald Wagener, and Bjoern Eskofier. "Federated Electronic Health Records for the European Health Data Space." Lancet Digital Health 5, no. 11 (November 2023): e840–e847.
- 27 Jul 2020
- News
This Tech Could Let Bosses Spy on You While You’re Working from Home
- 04 Jan 2006
- News
With Surveillance, You're Never Alone
- 28 Apr 2020
- News
Coronavirus apps: the risk of slipping into a surveillance state
- 15 Jun 2016
- News
Pining for the cubicle? Believe it.
- Research Summary
Current Research
By: Leslie K. John
Professor John is a behavioral scientist who uses both laboratory and field experiments to investigate questions that are at the intersection of marketing, organizational behavior, and public policy.
Professor John’s work has been published in leading... View Details
- November 2004
- Case
The Electronic Product Code: Future Impact on the Global Food System
By: Ray A. Goldberg and James Weber
The Electronic Product Code (EPC) is a successor to the Uniform Product Code and will improve the efficiency and traceability of the global food system. This case focuses on how best to implement this new system and respect the privacy of the ultimate consumer, and the... View Details
Keywords: Information; Rights; Ethics; Consumer Behavior; Management Systems; Technology Adoption; Innovation and Invention; Food and Beverage Industry
Goldberg, Ray A., and James Weber. "The Electronic Product Code: Future Impact on the Global Food System." Harvard Business School Case 905-409, November 2004.
- February 2024
- Module Note
Data-Driven Marketing in Retail Markets
By: Ayelet Israeli
This note describes an eight-class sessions module on data-driven marketing in retail markets. The module aims to familiarize students with core concepts of data-driven marketing in retail, including exploring the opportunities and challenges, adopting best practices,... View Details
Keywords: Data; Data Analytics; Retail; Retail Analytics; Data Science; Business Analytics; ＂Marketing Analytics＂; Omnichannel; Omnichannel Retailing; Omnichannel Retail; DTC; Direct To Consumer Marketing; Ethical Decision Making; Algorithmic Bias; Privacy; A/B Testing; Descriptive Analytics; Prescriptive Analytics; Predictive Analytics; Analytics and Data Science; E-commerce; Marketing Channels; Demand and Consumers; Marketing Strategy; Retail Industry
Israeli, Ayelet. "Data-Driven Marketing in Retail Markets." Harvard Business School Module Note 524-062, February 2024.
- May 9, 2023
- Article
8 Questions About Using AI Responsibly, Answered
By: Tsedal Neeley
Generative AI tools are poised to change the way every business operates. As your own organization begins strategizing which to use, and how, operational and ethical considerations are inevitable. This article delves into eight of them, including how your organization... View Details
Neeley, Tsedal. "8 Questions About Using AI Responsibly, Answered." Harvard Business Review (website) (May 9, 2023).
- December 1994 (Revised May 1999)
- Case
3M Optical Systems: Managing Corporate Entrepreneurship
By: Christopher A. Bartlett and Afroze A Mohammed
A middle-level division manager must decide whether he should support an investment request for a third attempt at launching a new product developed by a struggling business unit. Describes the long, difficult process by which the unit has developed the product--a... View Details
Keywords: Managerial Roles; Decision Choices and Conditions; Corporate Entrepreneurship; Product Launch; Problems and Challenges; Product Development; Consumer Products Industry
Bartlett, Christopher A., and Afroze A Mohammed. "3M Optical Systems: Managing Corporate Entrepreneurship." Harvard Business School Case 395-017, December 1994. (Revised May 1999.)
- 21 Jan 2014
- First Look
First Look: January 21
nets and subsequent improvements in our health measures, the link between regional spraying and individual health level appears rather weak in the data. Publisher's link: http://www.nber.org/papers/w16069 August 2013 Management Science Competing with View Details
Keywords: Sean Silverthorne
8 Questions About Using AI Responsibly, Answered
Generative AI tools are poised to change the way every business operates. As your own organization begins strategizing which to use, and how, operational and ethical considerations are inevitable. This article delves into eight of them, including how your... View Details
- 03 Apr 2015
- News
How To Run A Business Without Any Bosses
- December 2023 (Revised August 2024)
- Case
Monsters in the Machine? Tackling the Challenge of Responsible AI
By: Paul M. Healy and Debora L. Spar
In November of 2022, the small tech company OpenAI released ChatGPT, an artificial intelligence chatbot which quickly captured the public’s imagination—becoming the world’s fastest-growing consumer application within months of its release. Though observers from across... View Details
Keywords: Technological Innovation; AI and Machine Learning; Ethics; Governing Rules, Regulations, and Reforms; Technology Adoption; Corporate Social Responsibility and Impact; Technology Industry; United States; European Union; China
Healy, Paul M., and Debora L. Spar. "Monsters in the Machine? Tackling the Challenge of Responsible AI." Harvard Business School Case 324-062, December 2023. (Revised August 2024.)
- 13 Oct 2021
- News
Apple's China Problem
- 19 Oct 2021
- News
The Facebook Trap
- August 2014
- Case
Netflix: Designing the Netflix Prize (A)
By: Karim R. Lakhani, Wesley M. Cohen, Kynon Ingram, Tushar Kothalkar, Maxim Kuzemchenko, Santosh Malik, Cynthia Meyn, Greta Friar and Stephanie Healy Pokrywa
In 2006, Reed Hastings, CEO of Netflix, was looking for a way to solve Netflix's customer churn problem. Netflix used Cinematch, its proprietary movie recommendation software, to promote individually determined best-fit movies to customers. Hastings determined that a... View Details
Keywords: Crowdsourcing; Prizes; Digitization; Algorithms; Recommendation Software; Disruption; Transformation; Collaborative Innovation and Invention; Technological Innovation; Knowledge Sharing; Applications and Software; Motion Pictures and Video Industry; Entertainment and Recreation Industry; Technology Industry; United States
Lakhani, Karim R., Wesley M. Cohen, Kynon Ingram, Tushar Kothalkar, Maxim Kuzemchenko, Santosh Malik, Cynthia Meyn, Greta Friar, and Stephanie Healy Pokrywa. "Netflix: Designing the Netflix Prize (A)." Harvard Business School Case 615-015, August 2014.