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2019
Article

Fair Algorithms for Learning in Allocation Problems

By: Hadi Elzayn, Shahin Jabbari, Christopher Jung, Michael J Kearns, Seth Neel, Aaron Leon Roth and Zachary Schutzman

Settings such as lending and policing can be modeled by a centralized agent allocating a scarce resource (e.g. loans or police officers) amongst several groups, in order to maximize some objective (e.g. loans given that are repaid, or criminals that are apprehended).... View Details

Keywords: Allocation Problems; Algorithms; Fairness; Learning

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January 2008
Article

Learning the Fine Art of Collaboration

By: Alan MacCormack and Theodore Forbath

Innovations are increasingly brought to the market by networks of firms, selected for their unique capabilities and operating in a coordinated manner. This collaborative model demands that firms develop different skills, yet despite this need, there is little guidance... View Details

Keywords: Digital Platforms

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March 2018
Case

Summit Public Schools (A)

By: John J-H Kim and Aldo Sesia

Summit Public Schools was a very successful charter management organization with schools in California and Washington State. The students came from a variety of socioeconomic backgrounds, many from economically disadvantaged households. While nearly all of its students... View Details

Keywords: K-12; Online Learning; Virtual Learning; Blended Learning; Secondary Education; Middle School Education; Early Childhood Education; Learning; Business Model; Performance Improvement; Technology

2024
Working Paper

Learning to Cover: Online Learning and Optimization with Irreversible Decisions

By: Alexander Jacquillat and Michael Lingzhi Li

Keywords: Buildings and Facilities; AI and Machine Learning; Geographic Location; Strategic Planning

April 2017
Case

Yushan Bicycles: Learning to Ride Abroad

By: Christopher A. Bartlett and Paul S. Myers

Yushan Bicycles, one of Taiwan's leading bicycle manufacturers, is pursuing an international expansion strategy by increasing demand for its range of traditional and electric bicycles and shifting its product mix toward higher-margin models sold through specialty... View Details

Keywords: Globalized Firms and Management; Growth and Development Strategy; Competitive Strategy; Conflict Management; Learning; Bicycle Industry; Taiwan; Australia

April 2010
Case

School of One: Reimagining How Students Learn

By: Stacey M. Childress, James Weber and Matthew Adams Haldeman

School of One was a start-up with a new approach to learning. Instead of one teacher delivering the entire math curriculum to a class of 20-25 students, School of One utilized a technology platform that allowed several teachers to collectively oversee the learning of a... View Details

Keywords: Entrepreneurship; Learning; Innovation and Invention

24 Jan 2005
Research & Ideas

Entrepreneurial Hospital Pioneers New Model

roll out a similar model beyond India—maybe even into Europe and the U.S. What's the secret? According to HBS professor Tarun Khanna, the success of the hospital, called Narayana Hrudayalaya, is due to the vision and tireless work of a... View Details

Keywords: by Martha Lagace; Health

Article

Detecting Adversarial Attacks via Subset Scanning of Autoencoder Activations and Reconstruction Error

By: Celia Cintas, Skyler Speakman, Victor Akinwande, William Ogallo, Komminist Weldemariam, Srihari Sridharan and Edward McFowland III

Reliably detecting attacks in a given set of inputs is of high practical relevance because of the vulnerability of neural networks to adversarial examples. These altered inputs create a security risk in applications with real-world consequences, such as self-driving... View Details

Keywords: Autoencoder Networks; Pattern Detection; Subset Scanning; Computer Vision; Statistical Methods And Machine Learning; Machine Learning; Deep Learning; Data Mining; Big Data; Large-scale Systems; Mathematical Methods; Analytics and Data Science

December 2011
Article

EXEMPLARY CONTRIBUTION: Transforming Mental Models on Emerging Markets

By: Charles Dhanaraj and Tarun Khanna

Economic growth in the Western world increasingly depends on meaningful engagement with emerging markets such as Brazil, China, India, South Africa, and Turkey. Business schools are responding with increased attention to these markets in their research and curricula.... View Details

Keywords: Emerging Markets; Business Model; Economic Growth; Developing Countries and Economies; Research; Business Education; Learning; Financial Institutions; Framework; Transformation; Perspective; India; China; Brazil; South Africa; Turkey

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October 2015 (Revised October 2016)
Case

Building Watson: Not So Elementary, My Dear! (Abridged)

By: Willy C. Shih

This case is set inside IBM Research's efforts to build a computer that can successfully take on human challengers playing the game show Jeopardy! It opens with the machine named Watson offering the incorrect answer "Toronto" to a seemingly simple question during the... View Details

Keywords: Analytics; Big Data; Business Analytics; Product Development Strategy; Machine Learning; Machine Intelligence; Artificial Intelligence; Product Development; AI and Machine Learning; Information Technology; Analytics and Data Science; Information Technology Industry; United States

2012
Working Paper

Prominent Job Advertisements, Group Learning and Wage Dispersion

By: Julio J. Rotemberg

A model is presented in which people base their labor search strategy on the average wage and the average unemployment duration of people who belong to their peer group. It is shown that, if the distribution of wage offers is not stationary so lower wage offers tend to... View Details

Keywords: Wages; Job Offer; Job Search; Advertising

2020
Book

Work, Mate, Marry, Love: How Machines Shape Our Human Destiny

By: Debora L. Spar

Covering a time frame that ranges from 8000 BC to the present, and drawing upon both Marxist and feminist theories, the book argues that nearly all the decisions we make in our most intimate lives—whom to marry, how to have children, how to have sex, how to think about... View Details

2024
Working Paper

The Cram Method for Efficient Simultaneous Learning and Evaluation

By: Zeyang Jia, Kosuke Imai and Michael Lingzhi Li

We introduce the "cram" method, a general and efficient approach to simultaneous learning and evaluation using a generic machine learning (ML) algorithm. In a single pass of batched data, the proposed method repeatedly trains an ML algorithm and tests its empirical... View Details

Keywords: AI and Machine Learning

Article

Crowdsourcing City Government: Using Tournaments to Improve Inspection Accuracy

By: Edward Glaeser, Andrew Hillis, Scott Duke Kominers and Michael Luca

The proliferation of big data makes it possible to better target city services like hygiene inspections, but city governments rarely have the in-house talent needed for developing prediction algorithms. Cities could hire consultants, but a cheaper alternative is to... View Details

Keywords: User-generated Content; Operations; Tournaments; Policy-making; Machine Learning; Online Platforms; Analytics and Data Science; Mathematical Methods; City; Infrastructure; Business Processes; Government and Politics

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2021
Working Paper

First Law of Motion: Influencer Video Advertising on TikTok

By: Jeremy Yang, Juanjuan Zhang and Yuhan Zhang

This paper engineers an intuitive feature that is predictive of the causal effect of influencer video advertising on product sales. We propose the concept of m-score, a summary statistic that captures the extent to which a product is advertised in the most engaging... View Details

Keywords: Influencer Advertising; Video Advertising; Computer Vision; Machine Learning; Advertising; Online Technology

27 Aug 2014
Lessons from the Classroom

Learning From Japan’s Remarkable Disaster Recovery

leadership in mobilizing people and resources in highly dynamic situations.” Each winter, 900 HBS students dispatch around the world to see businesses up close, learn what they can about how they are run, and share their own knowledge... View Details

Keywords: by Sean Silverthorne; Energy; Utilities; Retail

August 2018 (Revised October 2020)
Case

Tailor Brands: Artificial Intelligence-Driven Branding

Using proprietary artificial intelligence technology, startup Tailor Brands set out to democratize branding by allowing small businesses to create their brand identities by automatically generating logos in just minutes at minimal cost with no branding or design skills... View Details

26 Mar 2007
Research & Ideas

Learning from Failed Political Leadership

international objectives are in jeopardy today. To the extent that business strategies are based on these same erroneous notions, they are also at great risk. Q: What can a business executive learn about leadership from your research? A:... View Details

Keywords: by Martha Lagace

2003
Working Paper

Dynamic Mixed Duopoly: A Model Motivated by Linux vs. Windows

By: Ramon Casadesus-Masanell and Pankaj Ghemawat

This paper analyzes a dynamic mixed duopoly in which a profit-maximizing competitor interacts with a competitor that prices at zero (or marginal cost), with the cumulation of output affecting their relative positions over time. The modeling effort is motivated by... View Details

Keywords: Business Model; Competition; Open Source Distribution; Balance and Stability; Applications and Software; Network Effects; Duopoly and Oligopoly

July 2019
Teaching Note

Miroglio Fashion

By: Sunil Gupta

Teaching Note for HBS Nos. 519-053, 519-070, and 519-072. View Details

Keywords: Inventory Management; Demand Forecasting; Artificial Intelligence; Machine Learning; Forecasting and Prediction; Operations; Management; Decision Making; Marketing; AI and Machine Learning; Apparel and Accessories Industry; Fashion Industry

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