Seth Neel

Seth Neel is an Assistant Professor housed in the Department of Technology and Operations Management (TOM) at HBS, and a Faculty Afficilate in Computer Science at SEAS. He is Principal Investigator of the Trustworthy AI Lab in Harvard's new View Details

• October 2017 (Revised April 2018)
• Case

Improving Worker Safety in the Era of Machine Learning (A)

By: Michael W. Toffel, Dan Levy, Jose Ramon Morales Arilla and Matthew S. Johnson

Managers make predictions all the time: How fast will my markets grow? How much inventory do I need? How intensively should I monitor my suppliers? Which potential customers will be most responsive to a particular marketing campaign? Which job candidates should I... View Details

Keywords: Machine Learning; Policy Implementation; Empirical Research; Inspection; Occupational Safety; Occupational Health; Regulation; Analysis; Forecasting and Prediction; Policy; Operations; Supply Chain Management; Safety; Manufacturing Industry; Construction Industry; United States

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Toffel, Michael W., Dan Levy, Jose Ramon Morales Arilla, and Matthew S. Johnson. "Improving Worker Safety in the Era of Machine Learning (A)." Harvard Business School Case 618-019, October 2017. (Revised April 2018.)

• Article

A Multicountry Perspective on Gender Differences in Time Use During COVID-19

By: Laura M. Giurge, Ashley V. Whillans and Ayse Yemiscigil (shared authorship)

The COVID-19 pandemic has fundamentally altered how people spend time, with possible consequences for subjective well-being. Using diverse samples of remote workers from the United States, Canada, Denmark, Brazil, and Spain (n = 31,141), following a preregistered... View Details

Keywords: Time; Subjective Well-being; COVID-19; Health Pandemics; Gender; Time Management; Well-being; Work-Life Balance; Global Range

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Giurge, Laura M., Ashley V. Whillans, and Ayse Yemiscigil (shared authorship). "A Multicountry Perspective on Gender Differences in Time Use During COVID-19." Proceedings of the National Academy of Sciences 118, no. 12 (March 23, 2021).

Leslie A. Perlow

Leslie Perlow is the Konosuke Matsushita Professor of Leadership in the Organizational Behavior Unit at Harvard Business School. She recently launched a second year elective, Crafting Your Life: The First 10 Years Post MBA. This course encourages students to... View Details

• 24 Jul 2019
• Blog Post

Data-Driven and in Demand

immediate one of financial services. This highlighted the need for me to gain data fluency and competency—to invest in building out my data and analytics skillset for the sake... View Details

• August 2021
• Case

Orchadio's First Two Split Experiments

By: Iavor I. Bojinov, Marco Iansiti and David Lane

Orchadio, a direct-to-consumer grocery business, needs to conduct its first two A/B tests—one to evaluate the effectiveness and functioning of its newly redesigned website, and one to market-test four versions of a new banner for the website. To do so, it will rely on... View Details

Keywords: Information Management; Technological Innovation; Knowledge Use and Leverage; Resource Allocation; Marketing; Measurement and Metrics; Customization and Personalization; Information Technology; Internet and the Web; Digital Platforms; Information Technology Industry; Food and Beverage Industry

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Bojinov, Iavor I., Marco Iansiti, and David Lane. "Orchadio's First Two Split Experiments." Harvard Business School Case 622-015, August 2021.

• 24 Jun 2019
• Blog Post

Chloe Ho, MBA 2019: Data-Driven and In Demand

immediate one of financial services. This highlighted the need for me to gain data fluency and competency—to invest in building out my data and analytics skillset for the sake... View Details

Keywords: Technology

• 2023
• Working Paper

Debiasing Treatment Effect Estimation for Privacy-Protected Data: A Model Auditing and Calibration Approach

By: Ta-Wei Huang and Eva Ascarza

Data-driven targeted interventions have become a powerful tool for organizations to optimize business outcomes by utilizing individual-level data from experiments. A key element of this process is the estimation of Conditional Average Treatment Effects (CATE), which... View Details

Keywords: Analytics and Data Science; Consumer Behavior; Marketing

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Huang, Ta-Wei, and Eva Ascarza. "Debiasing Treatment Effect Estimation for Privacy-Protected Data: A Model Auditing and Calibration Approach." Harvard Business School Working Paper, No. 24-034, December 2023.

• October 2021 (Revised February 2022)
• Case

Newsweek: Driving a Digital First Strategy

By: Lynda M. Applegate and Suraj Srinivasan

The case describes the transformation at Newsweek, the storied news magazine that had fallen from its commanding position as a premier print publication unable to find its footing in the fast changing digital media landscape. After buying Newsweek and taking over as... View Details

Keywords: Transformation; Strategy; Internet and the Web; Analytics and Data Science; Performance Evaluation; Partners and Partnerships

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Applegate, Lynda M., and Suraj Srinivasan. "Newsweek: Driving a Digital First Strategy." Harvard Business School Case 822-052, October 2021. (Revised February 2022.)

• February 2020
• Technical Note

Talent Management and the Future of Work

By: William R. Kerr and Gorick Ng

The nature of work is changing—and it is changing rapidly. Few days go by without industry giants such as Amazon and AT&T announcing plans to invest billions of dollars towards retraining nearly half of their respective workforces for jobs of the future. What changes... View Details

Keywords: Human Resource Management; Human Capital Development; Human Resource Practices; Talent; Talent Acquisition; Talent Development; Talent Development And Retention; Talent Management; Talent Retention; Labor Flows; Labor Management; Labor Market; Strategy Development; Strategy Management; Strategy Execution; Strategy And Execution; Strategic Change; Transformations; Organization; Organization Alignment; Organization Design; Organizational Adaptation; Organizational Effectiveness; Management Challenges; Management Of Business And Political Risk; Change Leadership; Future Of Work; Future; Skills Gap; Skills Development; Skills; Offshoring And Outsourcing; Investment; Capital Allocation; Work; Work Culture; Work Force Management; Work/life Balance; Work/family Balance; Work-family Boundary Management; Workers; Worker Productivity; Worker Performance; Work Engagement; Work Environment; Work Environments; Productivity; Organization Culture; Soft Skills; Technology Management; Technological Change; Technological Change: Choices And Consequences; Technology Diffusion; Disruptive Technology; Global Business; Global; Workplace; Workplace Context; Workplace Culture; Workplace Wellness; Collaboration; Competencies; Productivity Gains; Digital; Digital Transition; Competitive Dynamics; Competitiveness; Competitive Strategy; Data Analytics; Data; Data Management; Data Strategy; Data Protection; Aging Society; Diversity; Diversity Management; Millennials; Communication Complexity; Communication Technologies; International Business; Work Sharing; Global Competitiveness; Global Corporate Cultures; Intellectual Property; Intellectual Property Management; Intellectual Property Protection; Intellectual Capital And Property Issues; Globalization Of Supply Chain; Inequality; Recruiting; Hiring; Hiring Of Employees; Training; Job Cuts And Outsourcing; Job Performance; Job Search; Job Design; Job Satisfaction; Jobs; Employee Engagement; Employee Attitude; Employee Benefits; Employee Compensation; Employee Fairness; Employee Relationship Management; Employee Retention; Employee Selection; Employee Motivation; Employee Feedback; Employee Coordination; Employee Performance Management; Employee Socialization; Process Improvement; Application Performance Management; Stigma; Institutional Change; Candidates; Digital Enterprise; Cultural Adaptation; Cultural Change; Cultural Diversity; Cultural Context; Cultural Strategies; Cultural Psychology; Cultural Reform; Performance; Performance Effectiveness; Performance Management; Performance Evaluation; Performance Appraisal; Performance Feedback; Performance Measurement; Performance Metrics; Performance Measures; Performance Efficiency; Efficiency; Performance Analysis; Performance Appraisals; Performance Improvement; Automation; Artificial Intelligence; Technology Companies; Managerial Processes; Skilled Migration; Assessment; Human Resources; Management; Human Capital; Talent and Talent Management; Retention; Demographics; Labor; Strategy; Change; Change Management; Transformation; Organizational Change and Adaptation; Organizational Culture; Working Conditions; Information Technology; Technology Adoption; Disruption; Economy; Competition; Globalization; AI and Machine Learning; Digital Transformation

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Kerr, William R., and Gorick Ng. "Talent Management and the Future of Work." Harvard Business School Technical Note 820-084, February 2020.

• 2012
• Article

Exploring Re-Identification Risks in Public Domains

By: Aditi Ramachandran, Lisa Singh, Edward Porter and Frank Nagle

While re-identification of sensitive data has been studied extensively, with the emergence of online social networks and the popularity of digital communications, the ability to use public data for re-identification has increased. This work begins by presenting two... View Details

Keywords: Safety; Analytics and Data Science; Social and Collaborative Networks

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Ramachandran, Aditi, Lisa Singh, Edward Porter, and Frank Nagle. "Exploring Re-Identification Risks in Public Domains." Proceedings of the Annual International Conference on Privacy, Security, and Trust (2012).

• 2016
• Working Paper

Venture Capital Data: Opportunities and Challenges

By: Steven N. Kaplan and Josh Lerner

This paper describes the available data and research on venture capital investments and performance. We comment on the challenges inherent in those data and research as well as possible opportunities to do better. View Details

Keywords: Venture Capital; Analytics and Data Science; Investment

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Kaplan, Steven N., and Josh Lerner. "Venture Capital Data: Opportunities and Challenges." Harvard Business School Working Paper, No. 17-012, August 2016. (Forthcoming in Measuring Entrepreneurial Businesses: Current Knowledge and Challenges.)

• 2024
• Working Paper

The Impact of Culture Consistency on Subunit Outcomes

By: Jasmijn Bol, Robert Grasser, Serena Loftus and Tatiana Sandino

We examine the association between subunit culture consistency—defined as the congruence between the organizational values espoused by top management and those perceived and practiced by subunit employees—and subunit outcomes. Using data from 235 subunits of a North... View Details

Keywords: Organizational Culture; Employees; Creativity; Satisfaction

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Bol, Jasmijn, Robert Grasser, Serena Loftus, and Tatiana Sandino. "The Impact of Culture Consistency on Subunit Outcomes." Working Paper, January 2024.

• Article

Fast Generalized Subset Scan for Anomalous Pattern Detection

By: Edward McFowland III, Skyler Speakman and Daniel B. Neill

We propose Fast Generalized Subset Scan (FGSS), a new method for detecting anomalous patterns in general categorical data sets. We frame the pattern detection problem as a search over subsets of data records and attributes, maximizing a nonparametric scan statistic... View Details

Keywords: Pattern Detection; Anomaly Detection; Knowledge Discovery; Bayesian Networks; Scan Statistics; Analytics and Data Science

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McFowland III, Edward, Skyler Speakman, and Daniel B. Neill. "Fast Generalized Subset Scan for Anomalous Pattern Detection." Art. 12. Journal of Machine Learning Research 14 (2013): 1533–1561.