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Show Results For
- All HBS Web
(436)
- People (1)
- News (88)
- Research (281)
- Events (4)
- Multimedia (4)
- Faculty Publications (162)
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- 22 Jun 2017
- Cold Call Podcast
ShotSpotter: A Gunfire Detection Business Looks for a New Market
- 2023
- Working Paper
Detecting Structural Breaks in Inflation Trends: A High-Frequency Approach
By: Alberto Cavallo and Gaston Garcia Zavaleta
We combine standard structural-break methods with high-frequency data to identify shifts in inflation trends. We use this approach to study the inflation dynamics of 25 countries from January 2022 to April 2023 and find evidence of a broad-based slowdown in about half... View Details
Cavallo, Alberto, and Gaston Garcia Zavaleta. "Detecting Structural Breaks in Inflation Trends: A High-Frequency Approach." Working Paper, May 2023. (Preliminary draft.)
- 2023
- Article
Provable Detection of Propagating Sampling Bias in Prediction Models
By: Pavan Ravishankar, Qingyu Mo, Edward McFowland III and Daniel B. Neill
With an increased focus on incorporating fairness in machine learning models, it becomes imperative not only to assess and mitigate bias at each stage of the machine learning pipeline but also to understand the downstream impacts of bias across stages. Here we consider... View Details
Ravishankar, Pavan, Qingyu Mo, Edward McFowland III, and Daniel B. Neill. "Provable Detection of Propagating Sampling Bias in Prediction Models." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 8 (2023): 9562–9569. (Presented at the 37th AAAI Conference on Artificial Intelligence (2/7/23-2/14/23) in Washington, DC.)
- March 2025
- Supplement
Thrive Earlier Detection (B) and the Evolution of Catalio Capital Management
By: Malcolm Baker, Tara Bozzini and William Vrattos
Baker, Malcolm, Tara Bozzini, and William Vrattos. "Thrive Earlier Detection (B) and the Evolution of Catalio Capital Management." Harvard Business School Supplement 225-046, March 2025.
- December 1979
- Article
Evaluating and Comparing Projects: Simple Detection of False Alarms
By: John S. Hammond and John W. Pratt
Keywords: Performance Evaluation
Hammond, John S., and John W. Pratt. "Evaluating and Comparing Projects: Simple Detection of False Alarms." Journal of Finance 34, no. 5 (December 1979): 1231–1242.
- Article
Organization of Information and the Detection of Gender Discrimination
By: C. Rutte, T. Diekmann, J. Polzer, F. Crosby and D. Messick
Rutte, C., T. Diekmann, J. Polzer, F. Crosby, and D. Messick. "Organization of Information and the Detection of Gender Discrimination." Psychological Science 5, no. 4 (July 1994): 226–231.
- June 2016
- Article
Detecting Figures and Part Labels in Patents: Competition-based Development of Graphics Recognition Algorithms
By: Christoph Riedl, Richard Zanibbi, Marti A. Hearst, Siyu Zhu, Michael Menietti, Jason Crusan, Ivan Metelsky and Karim R. Lakhani
Riedl, Christoph, Richard Zanibbi, Marti A. Hearst, Siyu Zhu, Michael Menietti, Jason Crusan, Ivan Metelsky, and Karim R. Lakhani. "Detecting Figures and Part Labels in Patents: Competition-based Development of Graphics Recognition Algorithms." International Journal on Document Analysis and Recognition (IJDAR) 19, no. 2 (June 2016): 155–172.
- 2021
- Working Paper
Detecting Anomalous Patterns of Care Using Health Insurance Claims
By: Sriram Somanchi, Edward McFowland III and Daniel B. Neill
- November 2004
- Article
True or False? Lie Detection at the Bargaining Table
By: Michael Wheeler
Keywords: Negotiation
Wheeler, Michael. "True or False? Lie Detection at the Bargaining Table." Negotiation 7, no. 11 (November 2004).
- Article
Development of a Deep Learning Algorithm for Periapical Disease Detection in Dental Radiographs
By: Michael G. Endres, Florian Hillen, Marios Salloumis, Ahmad R. Sedaghat, Stefan M. Niehues, Olivia Quatela, Henning Hanken, Ralf Smeets, Benedicta Beck-Broichsitter, Carsten Rendenbach, Karim R. Lakhani, Max Helland and Robert A. Gaudin
Periapical radiolucencies, which can be detected on panoramic radiographs, are one of the most common radiographic findings in dentistry and have a differential diagnosis including infections, granuloma, cysts, and tumors. In this study, we seek to investigate the... View Details
Keywords: Artificial Intelligence; Diagnosis; Computer-assisted; Image Interpretation; Machine Learning; Radiography; Panoramic Radiograph; AI and Machine Learning
Endres, Michael G., Florian Hillen, Marios Salloumis, Ahmad R. Sedaghat, Stefan M. Niehues, Olivia Quatela, Henning Hanken, Ralf Smeets, Benedicta Beck-Broichsitter, Carsten Rendenbach, Karim R. Lakhani, Max Helland, and Robert A. Gaudin. "Development of a Deep Learning Algorithm for Periapical Disease Detection in Dental Radiographs." Diagnostics 10, no. 6 (June 2020).
- 2023
- Working Paper
Efficient Discovery of Heterogeneous Quantile Treatment Effects in Randomized Experiments via Anomalous Pattern Detection
By: Edward McFowland III, Sriram Somanchi and Daniel B. Neill
In the recent literature on estimating heterogeneous treatment effects, each proposed method makes its own set of restrictive assumptions about the intervention’s effects and which subpopulations to explicitly estimate. Moreover, the majority of the literature provides... View Details
Keywords: Causal Inference; Program Evaluation; Algorithms; Distributional Average Treatment Effect; Treatment Effect Subset Scan; Heterogeneous Treatment Effects
McFowland III, Edward, Sriram Somanchi, and Daniel B. Neill. "Efficient Discovery of Heterogeneous Quantile Treatment Effects in Randomized Experiments via Anomalous Pattern Detection." Working Paper, 2023.
- 2018
- Working Paper
Detecting Anomalies: The Relevance and Power of Standard Asset Pricing Tests
By: Malcolm Baker, Patrick Luo and Ryan Taliaferro
The two standard approaches for identifying capital market anomalies are cross-sectional coefficient tests, in the spirit of Fama and MacBeth (1973), and time-series intercept tests, in the spirit of Jensen (1968). A new signal can pass the first test, which we label a... View Details
Keywords: Investment Management; Anomalies; Portfolio Construction; Transaction Costs; Investment; Management; Asset Pricing; Market Transactions; Cost
Baker, Malcolm, Patrick Luo, and Ryan Taliaferro. "Detecting Anomalies: The Relevance and Power of Standard Asset Pricing Tests." Working Paper, July 2018.
- Article
Multivoxel Patterns in Face-sensitive Temporal Regions Reveal an Encoding Schema Based on Detecting Life in a Face
By: Christine E. Looser, J. Swaroop Guntupalli and Thalia Wheatley
More than a decade of research has demonstrated that faces evoke prioritized processing in a 'core face network' of three brain regions. However, whether these regions prioritize the detection of global facial form (shared by humans and mannequins) or the detection of... View Details
Keywords: Brain Imaging; Social Psychology; Mind Perception; Identity; Science; Cognition and Thinking
Looser, Christine E., J. Swaroop Guntupalli, and Thalia Wheatley. "Multivoxel Patterns in Face-sensitive Temporal Regions Reveal an Encoding Schema Based on Detecting Life in a Face." Social Cognitive and Affective Neuroscience 8, no. 7 (October 2013): 799–805.
- May 2006
- Article
Detection Defection: Measuring and Understanding the Predictive Accuracy of Customer Churn Models
By: Scott Neslin, Sunil Gupta, Wagner Kamakura, Junxiang Lu and Charlotte Mason
Neslin, Scott, Sunil Gupta, Wagner Kamakura, Junxiang Lu, and Charlotte Mason. "Detection Defection: Measuring and Understanding the Predictive Accuracy of Customer Churn Models." Journal of Marketing Research (JMR) 43, no. 2 (May 2006): 204–211.
- 2020
- Conference Presentation
A Performance-optimized Limb Detection Model Selectively Predicts Behavioral Responses Based on Movement Similarity
By: X. Zhao, J. De Freitas, L. Tarhan and G. A. Alvarez
- May 18, 2012
- Article
Randomized Government Safety Inspections Reduce Worker Injuries with No Detectable Job Loss
By: David I Levine, Michael W. Toffel and Matthew S. Johnson
Controversy surrounds occupational health and safety regulators, with some observers claiming that workplace regulations damage firms' competitiveness and destroy jobs and others arguing that they make workplaces safer at little cost to employers and employees. We... View Details
Keywords: Regulation; Occupational Safety; Evaluation; Regression; Matching; Difference In Differences; Safety; Health; Working Conditions; Governing Rules, Regulations, and Reforms; Competitive Advantage; Performance; Manufacturing Industry; California
Levine, David I., Michael W. Toffel, and Matthew S. Johnson. "Randomized Government Safety Inspections Reduce Worker Injuries with No Detectable Job Loss." Science 336, no. 6083 (May 18, 2012): 907–911. (Online supplement (appendix). Featured in an article by the head of US OSHA, and in U.S. News & World Report and many other news outlets. Basis of U.S. Congressional testimony on promoting safe workplaces.)
- Article
Fast Subset Scan for Multivariate Spatial Biosurveillance
By: Daniel B. Neill, Edward McFowland III and Huanian Zheng
We present new subset scan methods for multivariate event detection in massive space-time datasets. We extend the recently proposed 'fast subset scan' framework from univariate to multivariate data, enabling computationally efficient detection of irregular space-time... View Details
Neill, Daniel B., Edward McFowland III, and Huanian Zheng. "Fast Subset Scan for Multivariate Spatial Biosurveillance." Statistics in Medicine 32, no. 13 (June 15, 2013): 2185–2208.
- 2016
- Article
Penalized Fast Subset Scanning
By: Skyler Speakman, Sriram Somanchi, Edward McFowland III and Daniel B. Neill
We present the penalized fast subset scan (PFSS), a new and general framework for scalable and accurate pattern detection. PFSS enables exact and efficient identification of the most anomalous subsets of the data, as measured by a likelihood ratio scan statistic.... View Details
Keywords: Disease Surveillance; Likelihood Ratio Statistic; Pattern Detection; Scan Statistic; Mathematical Methods
Speakman, Skyler, Sriram Somanchi, Edward McFowland III, and Daniel B. Neill. "Penalized Fast Subset Scanning." Journal of Computational and Graphical Statistics 25, no. 2 (2016): 382–404. (Selected for “Best of JCGS” invited session by the journal’s editor in chief.)
- Article
Learning from Mistakes Is Easier Said than Done: Group and Organization Influences on the Detection and Correction of Human Error
By: A. Edmondson
Edmondson, A. "Learning from Mistakes Is Easier Said than Done: Group and Organization Influences on the Detection and Correction of Human Error." Journal of Applied Behavioral Science 32, no. 1 (March 1996): 5–28.