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- Article
Assessing the Food and Drug Administration's Risk-Based Framework for Software Precertification with Top Health Apps in the United States: Quality Improvement Study
By: Noy Alon, Ariel Dora Stern and John Torous
BACKGROUND: As the development of mobile health apps continues to accelerate, the need to implement a framework that can standardize categorizing these apps to allow for efficient, yet robust regulation grows. However, regulators and researchers are faced with numerous...
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Keywords:
Mobile Health;
Smartphone;
Food And Drug Administration;
Risk-based Framework;
Health Care and Treatment;
Mobile and Wireless Technology;
Applications and Software;
Framework
Alon, Noy, Ariel Dora Stern, and John Torous. "Assessing the Food and Drug Administration's Risk-Based Framework for Software Precertification with Top Health Apps in the United States: Quality Improvement Study." JMIR mHealth and uHealth 8, no. 10 (October 2020).
- July 15, 2020
- Article
How to Get People to Actually Use Contact-Tracing Apps
By: Chiara Farronato, Marco Iansiti, Marcin Bartosiak, Stefano Denicolai, Luca Ferretti and Roberto Fontana
The broad adoption of contact-tracing apps would greatly help combat the spread of COVID-19. But a number of barriers—especially privacy concerns—have hindered progress in many countries that can’t or won’t mandate adoption. A solution is to start with small...
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Keywords:
COVID-19;
Contact Tracing;
Apps;
Privacy;
Health Pandemics;
Behavior;
Technology Adoption;
Applications and Software
Farronato, Chiara, Marco Iansiti, Marcin Bartosiak, Stefano Denicolai, Luca Ferretti, and Roberto Fontana. "How to Get People to Actually Use Contact-Tracing Apps." Harvard Business Review Digital Articles (July 15, 2020).
- Article
Oracle Efficient Private Non-Convex Optimization
By: Seth Neel, Aaron Leon Roth, Giuseppe Vietri and Zhiwei Steven Wu
One of the most effective algorithms for differentially private learning and optimization is objective perturbation. This technique augments a given optimization problem (e.g. deriving from an ERM problem) with a random linear term, and then exactly solves it....
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Neel, Seth, Aaron Leon Roth, Giuseppe Vietri, and Zhiwei Steven Wu. "Oracle Efficient Private Non-Convex Optimization." Proceedings of the International Conference on Machine Learning (ICML) 37th (2020).
- Article
Germany's Digital Health Reforms in the COVID-19 Era: Lessons and Opportunities for Other Countries
By: Sara Gerke, Ariel D. Stern and Timo Minssen
Reimbursement is a key challenge for many new digital health solutions, whose importance and value have been highlighted and expanded by the current COVID-19 pandemic. Germany’s new Digital Healthcare Act (Digitale–Versorgung–Gesetz or DVG) entitles all individuals...
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Keywords:
COVID-19;
Reimbursement;
Digital Health Reforms;
Health Pandemics;
Health Care and Treatment;
Internet and the Web;
Governing Rules, Regulations, and Reforms;
Germany
Gerke, Sara, Ariel D. Stern, and Timo Minssen. "Germany's Digital Health Reforms in the COVID-19 Era: Lessons and Opportunities for Other Countries." Art. 94. npj Digital Medicine 3 (2020).
- March 2020
- Case
Sizmek Chapter 11: Surviving Walled Gardens in Their Ad Tech Empire
By: Ayelet Israeli, Danilo Tauro and Sarah Gulick
This case provides a post-mortem of the advertising technology (adtech) company Sizmek. Sizmek grew via multiple acquisitions, with the vision of becoming an integrated adtech company that could leverage AI to buy digital media, while creating and serving display and...
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Keywords:
Digital Marketing;
Insolvency and Bankruptcy;
Mergers and Acquisitions;
Applications and Software;
Internet and the Web;
Competition;
Marketing;
Advertising Industry;
Web Services Industry;
United States;
Europe
Israeli, Ayelet, Danilo Tauro, and Sarah Gulick. "Sizmek Chapter 11: Surviving Walled Gardens in Their Ad Tech Empire." Harvard Business School Case 520-087, March 2020.
- Mar 2020
- Conference Presentation
A New Analysis of Differential Privacy's Generalization Guarantees
By: Christopher Jung, Katrina Ligett, Seth Neel, Aaron Roth, Saeed Sharifi-Malvajerdi and Moshe Shenfeld
We give a new proof of the "transfer theorem" underlying adaptive data analysis: that any mechanism for answering adaptively chosen statistical queries that is differentially private and sample-accurate is also accurate out-of-sample. Our new proof is elementary and...
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Jung, Christopher, Katrina Ligett, Seth Neel, Aaron Roth, Saeed Sharifi-Malvajerdi, and Moshe Shenfeld. "A New Analysis of Differential Privacy's Generalization Guarantees." Paper presented at the 11th Innovations in Theoretical Computer Science Conference, Seattle, March 2020.
- February 2020
- Article
Tales of Two Motives: Disclosure and Concealment
By: Leslie John, Michael L. Slepian and Diana Tamir
We posit that the desire to disclose personal information, and the desire to conceal it, are related yet distinct psychological motives. People often wish to conceal information, such as embarrassing aspects of the self. Yet people also seek to reveal information, such...
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John, Leslie, Michael L. Slepian, and Diana Tamir. "Tales of Two Motives: Disclosure and Concealment." Special Issue on Privacy and Disclosure, Online and in Social Interactions edited by L. John, D. Tamir, M. Slepian. Current Opinion in Psychology 31 (February 2020).
- Article
How to Use Heuristics for Differential Privacy
By: Seth Neel, Aaron Leon Roth and Zhiwei Steven Wu
We develop theory for using heuristics to solve computationally hard problems in differential privacy. Heuristic approaches have enjoyed tremendous success in machine learning, for which performance can be empirically evaluated. However, privacy guarantees cannot be...
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Neel, Seth, Aaron Leon Roth, and Zhiwei Steven Wu. "How to Use Heuristics for Differential Privacy." Proceedings of the IEEE Annual Symposium on Foundations of Computer Science (FOCS) 60th (2019).
- Article
The Role of Interactivity in Local Differential Privacy
By: Matthew Joseph, Jieming Mao, Seth Neel and Aaron Leon Roth
We study the power of interactivity in local differential privacy. First, we focus on the difference between fully interactive and sequentially interactive protocols. Sequentially interactive protocols may query users adaptively in sequence, but they cannot return to...
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Joseph, Matthew, Jieming Mao, Seth Neel, and Aaron Leon Roth. "The Role of Interactivity in Local Differential Privacy." Proceedings of the IEEE Annual Symposium on Foundations of Computer Science (FOCS) 60th (2019).
- 2019
- Working Paper
The Impact of the General Data Protection Regulation on Internet Interconnection
By: Ran Zhuo, Bradley Huffaker, KC Claffy and Shane Greenstein
The Internet comprises thousands of independently operated networks, where bilaterally negotiated interconnection agreements determine the flow of data between networks. The European Union’s General Data Protection Regulation (GDPR) imposes strict restrictions on...
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Keywords:
Personal Data;
Privacy Regulation;
GDPR;
Interconnection Agreements;
Internet and the Web;
Governing Rules, Regulations, and Reforms;
European Union
Zhuo, Ran, Bradley Huffaker, KC Claffy, and Shane Greenstein. "The Impact of the General Data Protection Regulation on Internet Interconnection." NBER Working Paper Series, No. 26481, November 2019.
- October 2019 (Revised January 2020)
- Case
Fixing Facebook: Fake News, Privacy, and Platform Governance
By: David Yoffie and Daniel Fisher
Mark Zuckerberg founded Facebook based on the idea that connecting people was a fundamentally good thing—and a way to turn a handsome profit. But from the beginning, Facebook received criticism both for how it handled user privacy and how it curated user-generated...
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Keywords:
Platform;
Governance;
Privacy;
Internet and the Web;
Corporate Governance;
Ethics;
Business and Government Relations;
Strategy;
Digital Platforms;
Web Services Industry
Yoffie, David, and Daniel Fisher. "Fixing Facebook: Fake News, Privacy, and Platform Governance." Harvard Business School Case 720-400, October 2019. (Revised January 2020.)
- August 2019 (Revised February 2020)
- Teaching Note
Sidewalk Labs: Privacy in a City Built from the Internet Up
By: Leslie John and Mitch Weiss
Email mking@hbs.edu for a courtesy copy.
The case serves as a microcosm of issues of digital privacy: the availability of data – personal data in particular – has tremendous potential to improve people’s lives... View Details
The case serves as a microcosm of issues of digital privacy: the availability of data – personal data in particular – has tremendous potential to improve people’s lives... View Details
Keywords:
Privacy;
Privacy By Design;
Privacy Regulation;
Platforms;
Data;
Data Security;
Behavioral Science;
Analytics and Data Science;
Safety;
Entrepreneurship;
Business and Government Relations;
Consumer Behavior;
Digital Platforms
John, Leslie, and Mitch Weiss. "Sidewalk Labs: Privacy in a City Built from the Internet Up." Harvard Business School Teaching Note 820-023, August 2019. (Revised February 2020.) (Email mking@hbs.edu for a courtesy copy.)
- 2023
- Working Paper
The Customer Journey as a Source of Information
By: Nicolas Padilla, Eva Ascarza and Oded Netzer
In the face of heightened data privacy concerns and diminishing third-party data access,
firms are placing increased emphasis on first-party data (1PD) for marketing decisions.
However, in environments with infrequent purchases, reliance on past purchases 1PD...
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Keywords:
Customer Journey;
Privacy;
Consumer Behavior;
Analytics and Data Science;
AI and Machine Learning;
Customer Focus and Relationships
Padilla, Nicolas, Eva Ascarza, and Oded Netzer. "The Customer Journey as a Source of Information." Harvard Business School Working Paper, No. 24-035, October 2023. (Revised October 2023.)
- Article
Why Am I Seeing This Ad? The Effect of Ad Transparency on Ad Effectiveness
By: Tami Kim, Kate Barasz and Leslie K. John
Given the increasingly specific ways marketers can target ads, many consumers and regulators are demanding ad transparency: disclosure of how consumers’ personal information was used to generate ads. We investigate how and why ad transparency impacts ad effectiveness....
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Keywords:
Digital Marketing;
Customization and Personalization;
Information;
Trust;
Performance Effectiveness
Kim, Tami, Kate Barasz, and Leslie K. John. "Why Am I Seeing This Ad? The Effect of Ad Transparency on Ad Effectiveness." Journal of Consumer Research 45, no. 5 (February 2019): 906–932.
- January 2019
- Case
Data.gov (Abridged)
By: Karim R. Lakhani, Robert D. Austin and Yumi Yi
This case presents the logic and execution underlying the launch of Data.gov, an instantiation of President Obama's initiative for transparency and open government. The process used by Vivek Kundra, the federal CIO, and his team to rapidly develop the website and to...
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Keywords:
Safety;
Rights;
Analytics and Data Science;
Internet and the Web;
Ethics;
Cost vs Benefits;
Innovation and Management;
Information Management;
Public Administration Industry;
Information Industry;
United States
Lakhani, Karim R., Robert D. Austin, and Yumi Yi. "Data.gov (Abridged)." Harvard Business School Case 619-043, January 2019.
- Article
Accuracy First: Selecting a Differential Privacy Level for Accuracy-Constrained ERM
By: Katrina Ligett, Seth Neel, Aaron Leon Roth, Bo Waggoner and Steven Wu
Traditional approaches to differential privacy assume a fixed privacy requirement ϵ for a computation, and attempt to maximize the accuracy of the computation subject to the privacy constraint. As differential privacy is increasingly deployed in practical settings, it...
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Ligett, Katrina, Seth Neel, Aaron Leon Roth, Bo Waggoner, and Steven Wu. "Accuracy First: Selecting a Differential Privacy Level for Accuracy-Constrained ERM." Journal of Privacy and Confidentiality 9, no. 2 (2019).
- 2019
- Article
Big Data
By: John A. Deighton
Big data is defined and distinguished from a mere moment in the “ancient quest to measure.” Specific discontinuities in the practice of information science are identified that, the paper argues, have large consequences for the social order. The infrastructure that runs...
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Keywords:
Big Data;
Digital Infrastructure;
Privacy;
Algorithm;
Data Generators;
Marketplace Icon;
Analytics and Data Science;
Infrastructure;
Power and Influence;
Society
Deighton, John A. "Big Data." Consumption, Markets & Culture 22, no. 1 (2019): 68–73.
- October 2018 (Revised July 2019)
- Case
Sidewalk Labs: Privacy in a City Built from the Internet Up
By: Leslie K. John, Mitchell Weiss and Julia Kelley
Email mking@hbs.edu for a courtesy copy.
By the time Dan Doctoroff, CEO of Sidewalk Labs, began hosting a Reddit “Ask Me Anything” session in January 2018, he had only nine months remaining to convince the people... View Details
By the time Dan Doctoroff, CEO of Sidewalk Labs, began hosting a Reddit “Ask Me Anything” session in January 2018, he had only nine months remaining to convince the people... View Details
Keywords:
Public Entrepreneurship;
Govtech;
CivicTech;
Smart Cities;
City Innovation;
Government Innovation;
Privacy;
Sidewalk Labs;
Dan Doctoroff;
Entrepreneurship;
Public Sector;
Consumer Behavior;
Governance;
Business and Government Relations;
Innovation and Invention;
Technology Industry;
Public Administration Industry;
Transportation Industry;
Real Estate Industry;
Canada
John, Leslie K., Mitchell Weiss, and Julia Kelley. "Sidewalk Labs: Privacy in a City Built from the Internet Up." Harvard Business School Case 819-024, October 2018. (Revised July 2019.) (Email mking@hbs.edu for a courtesy copy.)
- October 2018
- Case
Fundraising at St. Camillus Hospital
By: Srikant M. Datar and Caitlin N. Bowler
St. Camillus is a fictional non-profit hospital in rural Maine facing a serious budget deficit. As Director of Marketing, Victoria Stern is building a team to modernize the hospital fundraising efforts. An interview with a promising candidate, who is also a digital...
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Keywords:
Data Analysis;
Data Privacy;
Data Governance;
Non-profit;
Health Care;
Fundraising;
Data Security;
Analytics and Data Science;
Safety;
Governance;
Ethics;
Health Care and Treatment;
Cybersecurity
Datar, Srikant M., and Caitlin N. Bowler. "Fundraising at St. Camillus Hospital." Harvard Business School Case 119-027, October 2018.
- Article
Uninformed Consent
By: Leslie K. John
Companies want access to more and more of your personal data—from where you are to what’s in your DNA. Can they unlock its value while respecting consumers’ privacy?
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Keywords:
Personal Data;
Privacy;
Customers;
Analytics and Data Science;
Ethics;
Governing Rules, Regulations, and Reforms
John, Leslie K. "Uninformed Consent." Special Issue on The Big Idea: Tracked. Harvard Business Review (website) (September–October 2018).