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- May 2025
- Article
The Diffusion of New Technologies
By: Aakash Kalyani, Marcela Carvalho, Nicholas Bloom, Tarek Hassan, Josh Lerner and Ahmed Tahoun
We identify phrases associated with novel technologies using textual analysis of patents,
job postings, and earnings calls, enabling us to identify four stylized facts on the diffusion of jobs
relating to new technologies. First, the development of economically... View Details
- January 2025
- Supplement
Colbún’s Angostura Dam Project (B)
By: James K. Sebenius and Nicolas Andrade
The A case describes Colbún Chile’s plans for the Angostura dam in the Bío Bío River, a hydroelectric construction venture with major challenges given the region’s history of indigenous resistance. This context was especially unfavorable given the highly contentious... View Details
- January 2025 (Revised January 2025)
- Case
Colbún's Angostura Dam Project (A)
By: James K. Sebenius and Nicolas Andrade
The A case describes Colbún Chile’s plans for the Angostura dam in the Bío Bío River, a hydroelectric construction venture with major challenges given the region’s history of indigenous resistance. This context was especially unfavorable given the highly contentious... View Details
- February 2025
- Article
Innovations in Evaluating Ambulatory Costs of Cystic Fibrosis Care: A Comparative Study Across Multidisciplinary Care Centers in Ireland and the United States
By: Emma Brady, Ryan C. Perkins, Kate Cullen, Gregory S. Sawicki, Robert S. Kaplan and Gerardine Doyle
Lead clinicians at two large pediatric cystic fibrosis (CF) centers in the United States and Ireland measured and compared their ambulatory care costs. The clinicians selected three strata of patients (0–11 months, 1–5 years, and 6–17 years of age). Process maps were... View Details
- 2024
- Working Paper
Empirical Guidance: Data Processing and Analysis with Applications in Stata, R, and Python
By: Melissa Ouellet and Michael W. Toffel
This paper describes a range of best practices to compile and analyze datasets, and includes some examples in Stata, R, and Python. It is meant to serve as a reference for those getting started in econometrics, and especially those seeking to conduct data analyses in... 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
- 2025
- Working Paper
Greenlighting Innovative Projects: How Evaluation Format Shapes the Perceived Feasibility of Early-Stage Ideas
By: Jacqueline N. Lane, Simon Friis, Tianxi Cai, Michael Menietti, Griffin Weber and Eva C. Guinan
The evaluation of innovative early-stage projects is essential for allocating limited resources. We
investigate how the evaluation format affects the identification of feasibility issues through a
field experiment at a leading research university. Experts were... View Details
- March 2024
- Article
Investigation of Divergent Thinking among Surgeons and Surgeon Trainees in Canada (IDEAS): A Mixed-methods Study
By: Alex Thabane, Tyler McKechnie, Vikram Arora, Goran Calic, Jason W Busse, Ranil Sonnadara and Mohit Bhandari
Objective: To assess the creative potential of surgeons and surgeon trainees, as measured by divergent thinking. The secondary objectives were to identify factors associated with divergent thinking, assess confidence in creative problem-solving and the perceived effect... View Details
- 2024
- Chapter
Regulating Collective Emotions
By: Amit Goldenberg
When we think of emotion and emotion regulation, we typically think of them as processes occurring at the individual level. Even when emotions are experienced by multiple people who interact with each other, analysis is typically centered around individual-level... View Details
- 2024
- Conference Paper
Quantifying Uncertainty in Natural Language Explanations of Large Language Models
By: Himabindu Lakkaraju, Sree Harsha Tanneru and Chirag Agarwal
Large Language Models (LLMs) are increasingly used as powerful tools for several
high-stakes natural language processing (NLP) applications. Recent prompting
works claim to elicit intermediate reasoning steps and key tokens that serve as
proxy explanations for LLM... View Details
- 2023
- Working Paper
Deglobalization and Entrepreneurial Investment: The Natural Experiment of Brexit
By: Elisa Alvarez-Garrido and Juan Alcácer
We seek to gain insight into the consequences of deglobalization on entrepreneurial investment by
analyzing an instance of economic disintegration: the United Kingdom’s exit from the European Union.
Brexit is not only a unique empirical opportunity, a natural... View Details
- September 2023 (Revised September 2024)
- Technical Note
Measuring and Managing Social Impact
By: Brian Trelstad, Gerald Chertavian and Susan Pinckney
A brief overview of how to measure social impact at nonprofits, social organizations, and impact investments. View Details
Keywords: Analysis; Change; Transformation; Decision Making; Cost vs Benefits; Decision Choices and Conditions; Decisions; Forecasting and Prediction; Public Sector; Entrepreneurship; Social Entrepreneurship; Fairness; Entrepreneurial Finance; Governance; Governing and Advisory Boards; Policy; Innovation and Management; Knowledge Acquisition; Knowledge Use and Leverage; Goals and Objectives; Growth and Development Strategy; Growth Management; Management Analysis, Tools, and Techniques; Management Practices and Processes; Resource Allocation; Measurement and Metrics; Standards; Strength and Weakness; Mission and Purpose; Success; Performance; Performance Evaluation; Philanthropy and Charitable Giving; Strategic Planning; Programs; Risk and Uncertainty; Social Enterprise; Non-Governmental Organizations; Social Issues; United States
- 2023
- Article
On Minimizing the Impact of Dataset Shifts on Actionable Explanations
By: Anna P. Meyer, Dan Ley, Suraj Srinivas and Himabindu Lakkaraju
The Right to Explanation is an important regulatory principle that allows individuals to request actionable explanations for algorithmic decisions. However, several technical challenges arise when providing such actionable explanations in practice. For instance, models... View Details
- 2024
- Working Paper
Using LLMs for Market Research
By: James Brand, Ayelet Israeli and Donald Ngwe
Large language models (LLMs) have rapidly gained popularity as labor-augmenting
tools for programming, writing, and many other processes that benefit from quick text
generation. In this paper we explore the uses and benefits of LLMs for researchers and
practitioners... View Details
- March–April 2023
- Article
Market Segmentation Trees
By: Ali Aouad, Adam Elmachtoub, Kris J. Ferreira and Ryan McNellis
Problem definition: We seek to provide an interpretable framework for segmenting users in a population for personalized decision making. Methodology/results: We propose a general methodology, market segmentation trees (MSTs), for learning market... View Details
- February 2023
- Article
National Models of Climate Governance Among Major Emitters
By: Johnathan Guy, Esther Shears and Jonas Meckling
National climate institutions structure the process of climate mitigation policymaking and shape climate policy ambition and performance. Countries have, for example, been building science bodies, passing climate laws and creating new agencies. Here we provide the... View Details
- January–February 2023
- Article
Triadic Advocacy Work
By: Summer R. Jackson and Katherine C. Kellogg
Scholars of street-level bureaucracy and institutional research focus primarily on the relationships between advocates and their larger bureaucratic and social systems, assuming that advocates have little need to satisfy their beneficiaries. We find otherwise in our... View Details
- December 2022 (Revised January 2025)
- Case
Akooda: Charging Toward Operational Intelligence
By: Christopher Stanton and Mel Martin
The Akooda case describes the challenges confronting founder and CEO Yuval Gonczarowski (MBA ‘17) in 2022 as he attempts to boost sales. Launched in November 2020, Akooda was an AI company that mined 20 different sources of digital data, from tools like Slack, Google... View Details
- 2022
- Working Paper
Institutional Emplacement and the Novel Resurgence of Independent Bookstores
By: Ryan Raffaelli and Ryann Noe
This study reveals how actors leverage physical place as an asset to facilitate organizational
adaptation and industry evolution. Through a longitudinal, qualitative analysis of the U.S.
independent bookselling industry from 1995 to 2019, we outline how dispersed... View Details
- Winter 2022
- Article
Distributing a Billion Vaccines: COVAX Successes, Challenges, and Opportunities
By: Eric Budish, Hannah Kettler, Scott Duke Kominers, Erik Osland, Canice Prendergast and Andrew A. Torkelson
By January 2022, the COVAX international vaccine collaboration had allocated over a billion vaccines to over 140 countries. We describe and review the allocation process chosen, which reflected both an objective of equitably distributing vaccines across the world and... View Details