Publications

2024
Working Paper

Incrementality Representation Learning: Synergizing Past Experiments for Intervention Personalization

By: Ta-Wei Huang, Eva Ascarza and Ayelet Israeli

This paper introduces Incrementality Representation Learning (IRL), a novel multitask representation learning framework that predicts heterogeneous causal effects of marketing interventions. By leveraging past experiments, IRL efficiently designs and targets... View Details

Keywords: Heterogeneous Treatment Effect; Multi-task Learning; Representation Learning; Personalization; Promotion; Deep Learning; Field Experiments; Customer Focus and Relationships; Customization and Personalization

2021
Chapter

Towards a Unified Framework for Fair and Stable Graph Representation Learning

By: Chirag Agarwal, Himabindu Lakkaraju and Marinka Zitnik

As the representations output by Graph Neural Networks (GNNs) are increasingly employed in real-world applications, it becomes important to ensure that these representations are fair and stable. In this work, we establish a key connection between counterfactual... View Details

Keywords: Graph Neural Networks; AI and Machine Learning; Prejudice and Bias

2022
Working Paper

Product2Vec: Leveraging Representation Learning to Model Consumer Product Choice in Large Assortments

By: Fanglin Chen, Xiao Liu, Davide Proserpio and Isamar Troncoso

We propose a method, Product2Vec, based on representation learning, that can automatically learn latent product attributes that drive consumer choices, to study product-level competition when the number of products is large. We demonstrate Product2Vec’s... View Details

Keywords: Consumer Choice; Consumer Behavior; Competition; Product Marketing

December 2023
Article

Self-Orienting in Human and Machine Learning

By: Julian De Freitas, Ahmet Uğuralp, Zeliha Uğuralp, Laurie Paul, Joshua B. Tenenbaum and T. Ullman

A current proposal for a computational notion of self is a representation of one’s body in a specific time and place, which includes the recognition of that representation as the agent. This turns self-representation into a process of self-orientation, a challenging... View Details

Keywords: AI and Machine Learning; Behavior; Learning

June 2024
Article

Rationalizing Outcomes: Interdependent Learning in Competitive Markets

By: Anoop R. Menon and Dennis Yao

In this article we use simulation models to explore interdependent learning in competitive markets. Such interactions require attention to both the mental representations held by the management of the focal firm as well as the beliefs of that management about the... View Details

Keywords: Mental Models; Strategic Interactions; Rationalization; Explanation-based View; Competition

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2008
Chapter

Learning in Environmental Policymaking and Implementation

By: Alnoor Ebrahim

This paper explores how "learning" occurs in the context of environmental policy formulation and implementation. Rather than viewing policy learning as a rational and technocratic process, the emphasis here is on the political and institutional contexts within which... View Details

Keywords: Learning; Corporate Accountability; Policy; Government and Politics; Business and Stakeholder Relations; Natural Environment; Power and Influence; South Africa; Brazil

2008
Working Paper

Learning Processes in Environmental Policy Making and Implementation

By: Alnoor Ebrahim

This paper explores how "learning" occurs in the context of environmental policy formulation and implementation. Rather than viewing policy learning as a rational and technocratic process, the emphasis here is on the political and institutional contexts within which... View Details

Keywords: Policy; Business and Government Relations; Natural Environment; Power and Influence; South Africa; Brazil

01 Oct 2000
News

Willoughby G. Walling II: A Learning Experience

two grown children, both of whom are involved in the arts, have been supportive, notes Walling. Influenced by van Gogh, Horace Pippin, Basquiat, and Henri Rousseau, among others, Walling aspires to a style that is "between realistic View Details

Keywords: Deborah Blagg

14 Sep 2018
Blog Post

10 Things I Learned During My First Month in the MS/MBA: Engineering Sciences Program

and data science. We even have a political-science-major-turned-software-engineer who learned to code at Dev Bootcamp. 2. There’s a wide range of industry experience I also expected everyone to come from a big tech company. While there’s... View Details

2012
Working Paper

An Outside-Inside Evolution in Gender and Professional Work

By: Lakshmi Ramarajan, Kathleen McGinn and Deborah Kolb

We study the process by which a professional service firm reshaped its activities and beliefs over nearly two decades as it adapted to shifts in the social discourse regarding gender and work. Analyzing archival data from the firm over eighteen years and... View Details

Keywords: Professional Service Firms; Social Institutions; Organizational Learning; Organizational Change and Adaptation; Employment; Gender; Society; Service Industry

01 Dec 2013
News

HBX: Expanding Our Reach

In the last few years, the landscape for online learning has changed dramatically. Using new and ever more powerful technologies, the market is shifting rapidly, with many dozens of organizations, aggregators, and educational institutions... View Details

Keywords: online learning; curriculum; News, Library, Internet, and Other Services; Information

Isamar Troncoso

Isamar Troncoso is an Assistant Professor of Business Administration in the Marketing Unit at HBS. She teaches the Marketing course in the MBA required curriculum.

Professor Troncoso studies problems related to digital marketplaces and new technologies. She... View Details

Keywords: e-commerce industry; high technology; retailing

29 Apr 2025
HBS Seminar

Magie Cheng & David Huang

07 Oct 2022
News

A Case for Greater Representation: A Q+A with Eric Calderon (MBA 2013) on Harvard Business School Admissions’ Use of “Latinos and the MBA Option”

Article

Capabilities, Cognition and Inertia: Evidence from Digital Imaging

By: M. Tripsas and G. Gavetti

There is empirical evidence that established firms often have difficulty adapting to radical technological change. Although prior work in the evolutionary tradition emphasizes the inertial forces associated with the local nature of learning processes, little... View Details

Keywords: Business Offices; Organizations; Management Analysis, Tools, and Techniques

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12 Jun 2023
Blog Post

What Does PRIDE at HBS Mean to You?

that last long after they have graduated. Together they work to build community, foster professional development, and encourage advocacy for LGBTQ+ representation at our school and in business. Check out some current student and alum... View Details

25 Sep 2023
Blog Post

HBS Latino Student Association Spotlight: Ana Barrera (MBA 2024)

individuals holding an MBA identify as Latinas, and we have among the lowest representation in senior business positions and corporate boards. In part, the strong desire to challenge these statistics fueled my path to apply to HBS. With... View Details

July 2023 (Revised July 2023)
Background Note

Generative AI Value Chain

By: Andy Wu and Matt Higgins

Generative AI refers to a type of artificial intelligence (AI) that can create new content (e.g., text, image, or audio) in response to a prompt from a user. ChatGPT, Bard, and Claude are examples of text generating AIs, and DALL-E, Midjourney, and Stable Diffusion are... View Details

Keywords: AI; Artificial Intelligence; Model; Hardware; Data Centers; AI and Machine Learning; Applications and Software; Analytics and Data Science; Value