Publications

September 19, 2017
Article

After Equifax Breach, Companies Advised to Review Open-Source Software Code

By: Ben DiPietro and Lou Shipley

It doesn’t make much sense: At a time when high-powered automated trading systems can execute stock sales in real time, some companies that rely on open-source software to help to run their businesses track their open-source use on spread sheets on paper.
Lou... View Details

Keywords: Software; Open-source; Security Vulnerabilities; Data Privacy; Hack; Applications and Software; Safety; Cybersecurity

Register to Read

16 Nov 2010
Lessons from the Classroom

Data.gov: Matching Government Data with Rapid Innovation

to post on the site any government data that does not have national security or privacy concerns. That's a lot of data. Anything that can be put online should be put online." Pros And Cons In class,... View Details

Keywords: by Martha Lagace; Technology

July 2018
Article

Reimagining Health Data Exchange: An Application Programming Interface-Enabled Roadmap for India

By: Satchit Balsari, Alexander Fortenko MD, MPH, Joaquin A. Blaya PhD, Adrian Gropper MD, Malavika Jayaram LLM, Rahul Matthan LLM, Ram Sahasranam, Mark Shankar MD, Suptendra N. Sarbadhikari PhD, Barbara Bierer, Kenneth D. Mandl MD, Sanjay Mehendale MD, MPH and Tarun Khanna

In February 2018, the Government of India announced a massive public health insurance scheme extending coverage to 500 million citizens, in effect making it the world’s largest insurance program. To meet this target, the government will rely on technology to... View Details

Keywords: Health Information Exchange; India; Health APIs; Health Care and Treatment; Information; Analytics and Data Science; Information Technology; Health Industry; India

Article

Big Other: Surveillance Capitalism and the Prospects of an Information Civilization

By: Shoshana Zuboff

This article describes an emergent logic of accumulation in the networked sphere, 'surveillance capitalism,' and considers its implications for 'information civilization.' The institutionalizing practices and operational assumptions of Google Inc. are the... View Details

Keywords: Surveillance Capitalism; Big Data; Google; Information Society; Privacy; Internet Of Everything; Rights; Economic Systems; Analytics and Data Science; Internet and the Web; Ethics

SSRN

Find at Harvard

2012
Other Unpublished Work

Towards Efficiencies in Canadian Internet Traffic Exchange

By: Benjamin Edelman and Bill Woodcock

Canadian Internet access is heavily and unnecessarily dependent upon foreign infrastructure, especially U.S. infrastructure. This dependence imposes significant burdens upon Canadian Internet users:

* Service prices are higher than would be the case if... View Details

Keywords: Networks; Canada; Privacy; Technology Networks; Rights; Communication Technology; Internet; Ethics; Telecommunications Industry; Canada

June 2018 (Revised June 2018)
Case

Facebook Confronts a Crisis of Trust

By: William W. George and Amram Migdal

The case, “Facebook Confronts a Crisis of Trust,” starts with the crisis Facebook founder and CEO Mark Zuckerberg is facing in March 2018 over Cambridge Analytica’s accessing data from 87 million Facebook accounts in order to influence the 2016 U.S. Presidential... View Details

Educators

22 Feb 2024
Research & Ideas

How to Make AI 'Forget' All the Private Data It Shouldn't Have

Europe’s tougher data privacy regulations went into effect in 2018, they have created complications for companies worldwide. Questions around data View Details

Keywords: by Rachel Layne; Technology; Information Technology

Research Summary

Overview

By: Ethan S. Bernstein

My research focuses on two interrelated organizational trends that have become salient in the 21st century: workplace transparency (who gets to observe whom) and workplace connectivity (who gets to communicate with whom). Open offices and factories have made what was... View Details

Teaching Interest

Overview

Paul is primarily interested in teaching data science to management students through the case method. This includes technical topics (programming and statistics) as well as higher-level management issues (digital transformation, data governance, etc.) As a research... View Details

Keywords: A/B Testing; AI; AI Algorithms; AI Creativity; Algorithm; Algorithm Bias; Algorithmic Bias; Algorithmic Fairness; Algorithms; Analytics; Application Program Interface; Artificial Intelligence; Causality; Causal Inference; Computing; Computers; Data Analysis; Data Analytics; Data Architecture; Data As A Service; Data Centers; Data Governance; Data Labeling; Data Management; Data Manipulation; Data Mining; Data Ownership; Data Privacy; Data Protection; Data Science; Data Science And Analytics Management; Data Scientists; Data Security; Data Sharing; Data Strategy; Data Visualization; Database; Data-driven Decision-making; Data-driven Management; Data-driven Operations; Datathon; Economics Of AI; Economics Of Innovation; Economics Of Information System; Economics Of Science; Forecast; Forecast Accuracy; Forecasting; Forecasting And Prediction; Information Technology; Machine Learning; Machine Learning Models; Prediction; Prediction Error; Predictive Analytics; Predictive Models; Analysis; AI and Machine Learning; Analytics and Data Science; Applications and Software; Digital Transformation; Information Management; Digital Strategy; Technology Adoption

Teaching Interest

Overview

By: John A. Deighton

I teach about the ecosystem of big data, the role of data in advertising and creative industries, and customer management and personal privacy in an era of individual addressability. View Details

Keywords: Digital Marketing; Database Marketing; Social Media; Data Analytics; Information; Advertising; Marketing; Media; Technology; Consumer Products Industry; Entertainment and Recreation Industry; Information Technology Industry; Publishing Industry; Media and Broadcasting Industry

September 2020 (Revised June 2023)
Exercise

Artea: Designing Targeting Strategies

By: Eva Ascarza and Ayelet Israeli

This collection of exercises aims to teach students about 1)Targeting Policies; and 2)Algorithmic bias in marketing—implications, causes, and possible solutions. Part (A) focuses on A/B testing analysis and targeting. Parts (B),(C),(D) Introduce algorithmic bias. The... View Details

September 2020 (Revised July 2022)
Technical Note

Algorithmic Bias in Marketing

By: Ayelet Israeli and Eva Ascarza

This note focuses on algorithmic bias in marketing. First, it presents a variety of marketing examples in which algorithmic bias may occur. The examples are organized around the 4 P’s of marketing – promotion, price, place and product—characterizing the marketing... View Details

Educators

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

June 2023
Simulation

Artea Dashboard and Targeting Policy Evaluation

By: Ayelet Israeli and Eva Ascarza

Companies deploy A/B experiments to gain valuable insights about their customers in order to answer strategic business problems. In marketing, A/B tests are often used to evaluate marketing interventions intended to generate incremental outcomes for the firm. The Artea... View Details

September–October 2013
Article

The Dynamic Advertising Effect of Collegiate Athletics

By: Doug J. Chung

I measure the spillover effect of intercollegiate athletics on the quantity and quality of applicants to institutions of higher education in the United States, popularly known as the "Flutie Effect." I treat athletic success as a stock of goodwill that decays over... View Details

Keywords: Choice Modeling; Entertainment Marketing; Heterogeneity; Panel Data; Structural Modeling; Rights; Analytics and Data Science; Higher Education; Ethics; Consumer Behavior; Advertising; Sports; Advertising Industry; Education Industry

SSRN

2021
Article

To Thine Own Self Be True? Incentive Problems in Personalized Law

By: Jordan M. Barry, John William Hatfield and Scott Duke Kominers

Recent years have seen an explosion of scholarship on “personalized law.” Commentators foresee a world in which regulators armed with big data and machine learning techniques determine the optimal legal rule for every regulated party, then instantaneously disseminate... View Details

Keywords: Personalized Law; Regulation; Regulatory Avoidance; Regulatory Arbitrage; Law And Economics; Law And Technology; Law And Artificial Intelligence; Futurism; Moral Hazard; Elicitation; Signaling; Privacy; Law; Governing Rules, Regulations, and Reforms; Information Technology; AI and Machine Learning

SSRN

2023
Working Paper

Debiasing Treatment Effect Estimation for Privacy-Protected Data: A Model Auditing and Calibration Approach

By: Ta-Wei Huang and Eva Ascarza

Data-driven targeted interventions have become a powerful tool for organizations to optimize business outcomes by utilizing individual-level data from experiments. A key element of this process is the estimation of Conditional Average Treatment Effects (CATE), which... View Details

Keywords: Analytics and Data Science; Consumer Behavior; Marketing

January 1995 (Revised November 1996)
Case

Avalon Information Services, Inc.

By: Lynn S. Paine and Wilda White

The Privacy Review Committee of Avalon Information Services must decide how to deal with concerns voiced by its retail supermarket customers about the privacy of consumer data collected through Avalon's point-of-sale data collection program. One customer is proposing... View Details

Keywords: Mission and Purpose; Safety; Demand and Consumers; Rights; Analytics and Data Science; Information Technology; Ethics; Information Industry

Educators