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- May 2022
- Case
Timnit Gebru: 'SILENCED No More' on AI Bias and The Harms of Large Language Models
By: Tsedal Neeley and Stefani Ruper
Dr. Timnit Gebru—a leading artificial intelligence (AI) computer scientist and co-lead of Google’s Ethical AI team—was messaging with one of her colleagues when she saw the words: “Did you resign?? Megan sent an email saying that she accepted your resignation.” Heart...
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- May 2022
- Article
Embracing Field Studies as a Tool for Learning
Field studies in social psychology tend to focus on validating existing insights. In addition to learning from the laboratory and bringing those insights to the field—which researchers currently favour—we should also conduct field studies that aim to learn in the field...
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- Article
How Much Should We Trust Staggered Difference-In-Differences Estimates?
By: Andrew C. Baker, David F. Larcker and Charles C.Y. Wang
Difference-in-differences analysis with staggered treatment timing is frequently used to assess the impact of policy changes on corporate outcomes in academic research. However, recent advances in econometric theory show that such designs are likely to be biased in the...
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- May 2022
- Article
How Status of Research Papers Affects the Way They Are Read and Cited
By: Misha Teplitskiy, Eamon Duede, Michael Menietti and Karim R. Lakhani
Although citations are widely used to measure the influence of scientific works, research shows that many citations serve rhetorical functions and reflect little-to-no influence on the citing authors. If highly cited papers disproportionately attract rhetorical...
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Keywords:
Metrics;
Influence;
Status;
Citations;
Science;
Measurement and Metrics;
Research;
Perception
- 2022
- Book
The Digital Mindset: What It Really Takes to Thrive in the Age of Data, Algorithms, and AI
By: Paul Leonardi and Tsedal Neeley
The pressure to "be digital" has never been greater, but you can meet the challenge.
The digital revolution is here, changing how work gets done, how industries are structured, and how people from all walks of life work, behave, and relate to each other. To thrive...
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- April 27, 2022
- Article
Inequality in Researchers' Minds: Four Guiding Questions for Studying Subjective Perceptions of Economic Inequality
By: Jon M. Jachimowicz, Shai Davidai, Daniela Goya-Tocchetto, Barnabas Szaszi, Martin Day, Stephanie Tepper, L. Taylor Phillips, M. Usman Mirza, Nailya Ordabayeva and Oliver P. Hauser
Subjective perceptions of inequality can substantially influence policy attitudes, public health metrics, and societal well-being, but the lack of consensus in the scientific community on how to best operationalize and measure these perceptions may impede progress on...
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- 2022
- Working Paper
A Linear Panel Model with Heterogeneous Coefficients and Variation in Exposure
By: Jesse M. Shapiro and Liyang Sun
Linear panel models featuring unit and time fixed effects appear in many areas of empirical economics. An active literature studies the interpretation of the ordinary least squares estimator of the model, commonly called the two-way fixed effects (TWFE) estimator, in...
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- April 2022
- Article
Predictable Financial Crises
Using historical data on post-war financial crises around the world, we show that crises are substantially predictable. The combination of rapid credit and asset price growth over the prior three years, whether in the nonfinancial business or the household sector, is...
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- 2022
- Book
Productive Tensions: How Every Leader Can Tackle Innovation’s Toughest Trade-Offs
By: Chris Bingham and Rory McDonald
Why is leading innovation in nascent business environments so distressingly hit-or-miss? More than 90% of high-potential ventures don’t reach their projected targets. Surveys show that 80% of executives consider innovation crucial to their growth strategy, but only 6%...
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- April 2022
- Article
The Past Is Prologue? Venture-Capital Syndicates' Collaborative Experience and Start-Up Exits
By: Dan Wang, Emily Cox Pahnke and Rory McDonald
Past research has produced contradictory insights into how prior collaboration between organizations—their relational embeddedness—impacts collective collaborative performance. We theorize that the effect of relational embeddedness on collaborative success is...
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- March–April 2022
- Article
Uncovering the Mitigating Psychological Response to Monitoring Technologies: Police Body Cameras Not Only Constrain but Also Depolarize
By: Shefali V. Patil and Ethan Bernstein
Despite organizational psychologists’ long-standing caution against monitoring (citing its reduction in employee autonomy and thus effectiveness), many organizations continue to use it, often with no detriment to performance and with strong support, not protest, from...
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- March 2022
- Teaching Note
Inclusive Innovation at Mass General Brigham
By: Katherine Coffman and Olivia Hull
Teaching Note for HBS Case No. 921-006, “Inclusive Innovation at Mass General Brigham." This case invites students to explore the individual and structural factors that lead to an under-representation of women in male-dominated domains, and to think critically about...
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- 2022
- Article
Social Interactivity in Live Video Experiences Reduces Loneliness
By: Benjamin T. Kaveladze, Robert R. Morris, Rosa Victoria Dimitrova-Gammeltoft, Amit Goldenberg, James J. Gross, Judd Antin, Melissa Sandgren and Melissa C. Thomas-Hunt
Background: Loneliness, especially when chronic, can substantially reduce one's quality of life. However, positive social experiences might help to break cycles of loneliness by promoting more prosocial cognitions and behaviors. Internet-mediated live video...
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- 2022
- Working Paper
Can Evidence-Based Information Shift Preferences Towards Trade Policy?
By: Laura Alfaro, Maggie X. Chen and Davin Chor
We investigate the role of evidence-based information in shaping individuals' preferences for trade policies through a series of survey experiments that contain randomized information treatments. Each information treatment provides a concise statement of...
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- March 2022
- Module Note
Linear Regression
By: Iavor I. Bojinov, Michael Parzen and Paul J. Hamilton
This note provides an overview of linear regression for an introductory data science course. It begins with a discussion of correlation, and explains why correlation does not necessarily imply causation. The note then describes the method of least squares, and how to...
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- March 2022
- Module Note
Statistical Inference
By: Iavor I. Bojinov, Michael Parzen and Paul J. Hamilton
This note provides an overview of statistical inference for an introductory data science course. First, the note discusses samples and populations. Next the note describes how to calculate confidence intervals for means and proportions. Then it walks through the logic...
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- March 2022
- Module Note
Navigating Nascent Industries and Product Categories
By: Rory McDonald
This Note introduces a module of cases used at Harvard Business School to teach fundamental concepts about navigating nascent industries and product categories. It elaborates a set of ‘innovation tensions’ that managers must address in these domains. In connecting the...
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- Article
Eliminating Unintended Bias in Personalized Policies Using Bias-Eliminating Adapted Trees (BEAT)
By: Eva Ascarza and Ayelet Israeli
An inherent risk of algorithmic personalization is disproportionate targeting of individuals from certain groups (or demographic characteristics such as gender or race), even when the decision maker does not intend to discriminate based on those “protected”... View Details
- March 2022 (Revised April 2022)
- Case
Pittsburgh: A Successful City?
Pittsburgh, PA, was once the crown jewel of American heavy industry. During the 19th and 20th centuries, the city was an undisputed leader in steel production, boasting some of the largest companies and wealthiest individuals in the world. Its abundance of...
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Keywords:
Economic And Social Disparities;
Economic Development;
Local Economic Development;
Contextual Intelligence;
Contextual Knowledge;
Context;
City Growth;
City Innovation;
City Leadership;
Pittsburgh;
Local Government;
Local Stakeholders;
Business And Community;
Business And Community Relations;
Community Engagement;
Community Relations;
Cross-sector Collaboration;
Innovation;
Innovation Economy;
Innovation Clusters;
Innovation Ecosystems;
Shared Prosperity;
Equality Of Opportunity;
Equity;
Inclusion;
Business And Government;
Business ＆ Government Relations;
Business And Government Relations;
Business And Society;
Neighborhoods;
Race And Ethnicity;
Innovation ＆ Entrepreneurship;
Diversity;
Ethnicity;
Race;
Household;
Income;
Economic Growth;
Economic Sectors;
Economics;
Local Range;
Urban Development;
Urban Scope;
City;
Cross-Cultural and Cross-Border Issues;
Government and Politics;
Government Administration;
Growth and Development;
History;
Leadership;
Goals and Objectives;
Philanthropy and Charitable Giving;
Society;
Civil Society or Community;
Culture;
Human Needs;
Public Opinion;
Public Sector;
Social Issues;
Poverty;
Equality and Inequality;
Manufacturing Industry;
Steel Industry;
Education Industry;
Medical Devices and Supplies Industry;
Technology Industry;
United States;
Pittsburgh;
Pennsylvania
- Article
Advancing Digital Health Applications: Priorities for Innovation in Real-World Evidence Generation
By: Ariel Dora Stern, Jan Brönneke, Jörg F Debatin, Julia Hagen, Henrik Matthies, Smit Patel, Ieuan Clay, Bjoern Eskofier, Annika Herr, Kurt Hoeller, Ashley Jaksa, Daniel B Kramer, Mattias Kyhlstedt, Katherine T Lofgren, Nirosha Mahendraratnam, Holger Muehlan, Simon Reif, Lars Riedemann and Jennifer C Goldsack
In 2019, Germany passed the Digital Healthcare Act, which, among other things, created a “Fast-Track” regulatory and reimbursement pathway for digital health applications in the German market. The pathway explicitly provides for flexibility in how researchers can...
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