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  • 25 Sep 2015
  • Blog Post

4 Challenges All Early-Stage Startups Face

During our first year at HBS, my classmates and I took  the opportunity to build cleverlayover, a flight search engine that uses advanced algorithms to find flights hundreds of dollars cheaper than any other search engine. We were able to... View Details
  • 21 Mar 2019
  • Working Paper Summaries

Advancing Computational Biology and Bioinformatics Research Through Open Innovation Competitions

Keywords: by Blasco, Andrea, Michael G. Endres, Rinat A. Sergeev, Anup Jonchhe, Max Macaluso, Rajiv Narayan, Ted Natoli, Jin H. Paik, Bryan Briney, Chunlei Wu, Andrew I. Su, Aravind Subramanian, and Karim R. Lakhani; Health
  • 2024
  • Working Paper

Warnings and Endorsements: Improving Human-AI Collaboration Under Covariate Shift

By: Matthew DosSantos DiSorbo and Kris Ferreira
Problem definition: While artificial intelligence (AI) algorithms may perform well on data that are representative of the training set (inliers), they may err when extrapolating on non-representative data (outliers). These outliers often originate from covariate shift,... View Details
Keywords: AI and Machine Learning; Decision Choices and Conditions
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  • February 2021 (Revised March 2022)
  • Case

Marvin: A Personalized Telehealth Approach to Mental Health

By: Regina E. Herzlinger, Eshani Sharma, Andrew Nguyen, Thomas Arsenault, Carin-Isabel Knoop and Julia Kelley
More than one third of Americans were said to suffer some type of behavioral health ailment at some point in their lifetime, with many people requiring chronic therapy or intervention. Despite significant clinical needs, access to reliable treatment has been difficult... View Details
Keywords: Mental Health; Applications; Startup Management; Telehealth; Health Care Entrepreneurship; Health ＆ Wellness; Health Care; Health Care and Treatment; Customization and Personalization; Internet and the Web; Entrepreneurship; Growth and Development Strategy; Applications and Software
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  • 17 May 2022
  • News

Delivering a Personalized Shopping Experience with AI

  • 2021
  • Article

Fair Influence Maximization: A Welfare Optimization Approach

By: Aida Rahmattalabi, Shahin Jabbari, Himabindu Lakkaraju, Phebe Vayanos, Max Izenberg, Ryan Brown, Eric Rice and Milind Tambe
Several behavioral, social, and public health interventions, such as suicide/HIV prevention or community preparedness against natural disasters, leverage social network information to maximize outreach. Algorithmic influence maximization techniques have been proposed... View Details
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  • 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
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    Making Workplaces Safer Through Machine Learning

    Government agencies can use machine learning to improve the effectiveness of regulatory inspections. Our study found that OSHA could prevent as much as twice as many injuries—translating to up to 16,000 fewer workers injured and nearly $800 million in social... View Details

    • 06 May 2012
    • News

    FTC Wants in on Google Antitrust Action

    • September–October 2023
    • Article

    Interpretable Matrix Completion: A Discrete Optimization Approach

    By: Dimitris Bertsimas and Michael Lingzhi Li
    We consider the problem of matrix completion on an n × m matrix. We introduce the problem of interpretable matrix completion that aims to provide meaningful insights for the low-rank matrix using side information. We show that the problem can be... View Details
    Keywords: Mathematical Methods
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    • 08 Nov 2016
    • First Look

    November 8, 2016

    in power. A mass shooting increases the number of enacted laws that loosen gun restrictions by 75% in states with Republican-controlled legislatures. We find no significant effect of mass shootings on laws enacted when there is a Democrat-controlled legislature. View Details
    Keywords: Sean Silverthorne
    • 09 Nov 2020
    • News

    Best Business Books 2020: Technology & innovation

    • 11 May 2022
    • News

    Finding It Hard to Get a New Job? Robot Recruiters Might Be to Blame

      Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness

      We introduce a new family of fairness definitions that interpolate between statistical and individual notions of fairness, obtaining some of the best properties of each. We show that checking whether these notions are satisfied is computationally hard in the worst... View Details
      • 13 May 2014
      • News

      Why Twitter Needs India

      • January 2021
      • Article

      Machine Learning for Pattern Discovery in Management Research

      By: Prithwiraj Choudhury, Ryan Allen and Michael G. Endres
      Supervised machine learning (ML) methods are a powerful toolkit for discovering robust patterns in quantitative data. The patterns identified by ML could be used for exploratory inductive or abductive research, or for post-hoc analysis of regression results to detect... View Details
      Keywords: Machine Learning; Supervised Machine Learning; Induction; Abduction; Exploratory Data Analysis; Pattern Discovery; Decision Trees; Random Forests; Neural Networks; ROC Curve; Confusion Matrix; Partial Dependence Plots; AI and Machine Learning
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      • Article

      Fast Subset Scan for Multivariate Spatial Biosurveillance

      By: Daniel B. Neill, Edward McFowland III and Huanian Zheng
      We extend the recently proposed ‘fast subset scan’ framework from univariate to multivariate data, enabling computationally efficient detection of irregular space-time clusters even when the numbers of spatial locations and data streams are large. These fast algorithms... View Details
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      • 05 Mar 2020
      • News

      What one game show reveals about the American economy

      • 2017
      • Working Paper

      Nowcasting the Local Economy: Using Yelp Data to Measure Economic Activity

      By: Edward L. Glaeser, Hyunjin Kim and Michael Luca
      Can new data sources from online platforms help to measure local economic activity? Government datasets from agencies such as the U.S. Census Bureau provide the standard measures of economic activity at the local level. However, these statistics typically appear only... View Details
      Keywords: Economy; Analytics and Data Science; Local Range; Social and Collaborative Networks
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      • March 2015 (Revised June 2015)
      • Case

      Medalogix

      By: Richard G. Hamermesh and Matthew G. Preble
      This case examines an exciting new approach to health care that will help care providers identify when hospice services are the appropriate type of care for patients. The company, Medalogix, already has a product on the market that uses a proprietary algorithm to... View Details
      Keywords: Health Care; Health Care Entrepreneurship; Health Care Services; Implementing Strategy; Dissemination; Innovation; Market Selection; Health; Health Care and Treatment; Analytics and Data Science; Marketing Strategy; Innovation and Management; Innovation Strategy; Health Industry; United States
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