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- 2023
- Article
Dynamic HTA for Digital Health Solutions: Opportunities and Challenges for Patient-Centered Evaluation
By: Jan B. Brönneke, Annika Herr, Simon Reif and Ariel D. Stern
Germany’s 2019 Digital Healthcare Act (Digitale-Versorgung-Gesetz, or DVG) created a number of opportunities for the digital transformation of the health care delivery system. Key among these was the creation of a reimbursement pathway for patient-centered digital...
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Keywords:
Digital Transformation;
Applications and Software;
Product Development;
Insurance;
Policy;
Health Industry;
Germany
Brönneke, Jan B., Annika Herr, Simon Reif, and Ariel D. Stern. "Dynamic HTA for Digital Health Solutions: Opportunities and Challenges for Patient-Centered Evaluation." International Journal of Technology Assessment in Health Care 39, no. 1 (2023).
- 2023
- Article
M4: A Unified XAI Benchmark for Faithfulness Evaluation of Feature Attribution Methods across Metrics, Modalities, and Models
By: Himabindu Lakkaraju, Xuhong Li, Mengnan Du, Jiamin Chen, Yekun Chai and Haoyi Xiong
While Explainable Artificial Intelligence (XAI) techniques have been widely studied to explain predictions made by deep neural networks, the way to evaluate the faithfulness of explanation results remains challenging, due to the heterogeneity of explanations for...
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Keywords:
AI and Machine Learning
Lakkaraju, Himabindu, Xuhong Li, Mengnan Du, Jiamin Chen, Yekun Chai, and Haoyi Xiong. "M4: A Unified XAI Benchmark for Faithfulness Evaluation of Feature Attribution Methods across Metrics, Modalities, and Models." Advances in Neural Information Processing Systems (NeurIPS) (2023).
- 2023
- Article
MoPe: Model Perturbation-based Privacy Attacks on Language Models
By: Marvin Li, Jason Wang, Jeffrey Wang and Seth Neel
Recent work has shown that Large Language Models (LLMs) can unintentionally leak sensitive information present in their training data. In this paper, we present Model Perturbations (MoPe), a new method to identify with high confidence if a given text is in the training...
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Li, Marvin, Jason Wang, Jeffrey Wang, and Seth Neel. "MoPe: Model Perturbation-based Privacy Attacks on Language Models." Proceedings of the Conference on Empirical Methods in Natural Language Processing (2023): 13647–13660.
- 2023
- Other Article
The Harvard USPTO Patent Dataset: A Large-Scale, Well-Structured, and Multi-Purpose Corpus of Patent Applications
By: Mirac Suzgun, Luke Melas-Kyriazi, Suproteem K. Sarkar, Scott Duke Kominers and Stuart Shieber
Innovation is a major driver of economic and social development, and information about many kinds of innovation is embedded in semi-structured data from patents and patent applications. Though the impact and novelty of innovations expressed in patent data are difficult...
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Keywords:
USPTO;
Natural Language Processing;
Classification;
Summarization;
Patent Novelty;
Patent Trolls;
Patent Enforceability;
Patents;
Innovation and Invention;
Intellectual Property;
AI and Machine Learning;
Analytics and Data Science
Suzgun, Mirac, Luke Melas-Kyriazi, Suproteem K. Sarkar, Scott Duke Kominers, and Stuart Shieber. "The Harvard USPTO Patent Dataset: A Large-Scale, Well-Structured, and Multi-Purpose Corpus of Patent Applications." Conference on Neural Information Processing Systems (NeurIPS), Datasets and Benchmarks Track 36 (2023).
- December 2023
- Article
What Can Stockouts Tell Us About Inflation? Evidence from Online Micro Data
By: Alberto Cavallo and Oleksiy Kryvtsov
We use a detailed micro dataset on product availability and stockouts to construct a direct high-frequency measure of consumer product shortages during the 2020-2022 pandemic. We document a widespread multi-fold rise in stockouts in nearly all sectors early in the...
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Keywords:
Prices;
Stockouts;
Inventories;
Supply Disruptions;
COVID-19 Pandemic;
Supply Chain;
Product;
Demand and Consumers
Cavallo, Alberto, and Oleksiy Kryvtsov. "What Can Stockouts Tell Us About Inflation? Evidence from Online Micro Data." Journal of International Economics 146 (December 2023).
- December 2023
- Article
When Should the Off-Grid Sun Shine at Night? Optimum Renewable Generation and Energy Storage Investments
By: Christian Kaps, Simone Marinesi and Serguei Netessine
Globally, 1.5 billion people live off the grid, their only access to electricity often limited to operationally-expensive fossil fuel generators. Solar power has risen as a sustainable and less costly option, but its generation is variable during the day and...
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Kaps, Christian, Simone Marinesi, and Serguei Netessine. "When Should the Off-Grid Sun Shine at Night? Optimum Renewable Generation and Energy Storage Investments." Management Science 69, no. 12 (December 2023): 7633–7650.
- 2023
- Article
Which Models Have Perceptually-Aligned Gradients? An Explanation via Off-Manifold Robustness
By: Suraj Srinivas, Sebastian Bordt and Himabindu Lakkaraju
One of the remarkable properties of robust computer vision models is that their input-gradients are often aligned with human perception, referred to in the literature as perceptually-aligned gradients (PAGs). Despite only being trained for classification, PAGs cause...
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Srinivas, Suraj, Sebastian Bordt, and Himabindu Lakkaraju. "Which Models Have Perceptually-Aligned Gradients? An Explanation via Off-Manifold Robustness." Advances in Neural Information Processing Systems (NeurIPS) (2023).
- November 2023 (Revised March 2024)
- Technical Note
Customer Data Privacy
By: Eva Ascarza and Ta-Wei Huang
This note provides an overview of the evolving landscape of customer data privacy in 2023. It highlights two pivotal aspects that make privacy a central concern for businesses: building and maintaining customer trust and navigating the intricate regulatory...
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Keywords:
Customer Relationship Management;
Governance Compliance;
Governing Rules, Regulations, and Reforms;
Risk and Uncertainty;
Reputation;
Trust;
Information Management;
Retail Industry;
Technology Industry;
Financial Services Industry;
Telecommunications Industry;
Europe;
United States
Ascarza, Eva, and Ta-Wei Huang. "Customer Data Privacy." Harvard Business School Technical Note 524-005, November 2023. (Revised March 2024.)
- 2023
- Working Paper
Learning by Investing: Entrepreneurial Spillovers from Venture Capital
By: Josh Lerner, Jinlin Li and Tong Liu
This paper studies how investing in venture capital (VC) affects the entrepreneurial outcomes of individual limited partners (LPs). Using comprehensive administrative data on entrepreneurial activities and VC fundraising and investments in China, we first document that...
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Lerner, Josh, Jinlin Li, and Tong Liu. "Learning by Investing: Entrepreneurial Spillovers from Venture Capital." Harvard Business School Working Paper, No. 24-029, November 2023.
- November 2023
- Article
Federated Electronic Health Records for the European Health Data Space
By: René Raab, Arne Küderle, Anastasiya Zakreuskaya, Ariel Dora Stern, Jochen Klucken, Georgios Kaissis, Daniel Rueckert, Susanne Boll, Roland Eils, Harald Wagener and Bjoern Eskofier
The European Commission's draft for the European Health Data Space (EHDS) aims to empower citizens to access their personal health data and share it with physicians and other health-care providers. It further defines procedures for the secondary use of electronic...
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Keywords:
Analytics and Data Science;
Cybersecurity;
Information Management;
Knowledge Sharing;
Knowledge Use and Leverage;
Health Industry
Raab, René, Arne Küderle, Anastasiya Zakreuskaya, Ariel Dora Stern, Jochen Klucken, Georgios Kaissis, Daniel Rueckert, Susanne Boll, Roland Eils, Harald Wagener, and Bjoern Eskofier. "Federated Electronic Health Records for the European Health Data Space." Lancet Digital Health 5, no. 11 (November 2023): e840–e847.
- 2023
- Working Paper
Geographies of Discontent: Public Service Deprivation and the Rise of the Far Right in Italy
By: Simone Cremaschi, Paula Rettl, Marco Cappelluti and Catherine E. De Vries
Electoral support for far-right parties is often linked to geographies of discontent.
We argue that public service deprivation, defined as reduced access to public services
at the local level, plays an important role in explaining these patterns. By exploiting
an...
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Keywords:
Election Outcomes;
Electoral Behavior;
Political Affiliation;
Political Culture;
Public Service;
Political Elections;
Policy;
Government and Politics;
Surveys;
Geographic Location;
Immigration;
Europe;
Italy
Cremaschi, Simone, Paula Rettl, Marco Cappelluti, and Catherine E. De Vries. "Geographies of Discontent: Public Service Deprivation and the Rise of the Far Right in Italy." Harvard Business School Working Paper, No. 24-024, November 2023.
- November–December 2023
- Article
Look the Part? The Role of Profile Pictures in Online Labor Markets
By: Isamar Troncoso and Lan Luo
Profile pictures are a key component of many freelancing platforms, a design choice that can impact hiring and matching outcomes. In this paper, we examine how appearance-based perceptions of a freelancer’s fit for the job (i.e., whether a freelancer "looks the part"...
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Keywords:
Freelancers;
Gig Workers;
Demographics;
Prejudice and Bias;
Selection and Staffing;
Jobs and Positions;
Analytics and Data Science
Troncoso, Isamar, and Lan Luo. "Look the Part? The Role of Profile Pictures in Online Labor Markets." Marketing Science 42, no. 6 (November–December 2023): 1080–1100.
- 2023
- Working Paper
What Do Impact Investors Do Differently?
In recent years, impact investors – private investors who seek to generate simultaneously financial and social returns – have attracted intense interest and controversy. We analyze a novel, comprehensive data set of impact and traditional investors to assess how the...
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Keywords:
ESG;
Socially Responsible Investing;
Investment Decisions;
Public Goods;
Impact Investment;
Investment;
Private Equity;
Venture Capital
Cole, Shawn, Leslie Jeng, Josh Lerner, Natalia Rigol, and Benjamin N. Roth. "What Do Impact Investors Do Differently?" Harvard Business School Working Paper, No. 24-028, November 2023. (Reject and Resubmit, Journal of Financial Economics.)
- October 2023 (Revised April 2024)
- Case
Veeva Systems: The Next Frontier
By: Satish Tadikonda and William Marks
Born out of a desire to bring technological advances in enterprise software into the healthcare vertical, Peter Gassner and Matt Wallach founded Veeva to bring life sciences companies into the digital age for data management in both the commercial and R&D sectors. Over...
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Tadikonda, Satish, and William Marks. "Veeva Systems: The Next Frontier." Harvard Business School Case 824-074, October 2023. (Revised April 2024.)
- October 2023 (Revised April 2024)
- Case
TetraScience: Unlocking the Power of Scientific Data
By: Satish Tadikonda and William Marks
After pivoting from a focus on hardware to a focus on scientific data, TetraScience, led by veteran SaaS executive, Patrick Grady and Founder Spin Wang, has embarked on a journey from nearly cash-out to a player in the scientific data management space. This case...
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Tadikonda, Satish, and William Marks. "TetraScience: Unlocking the Power of Scientific Data." Harvard Business School Case 824-072, October 2023. (Revised April 2024.)
- 2023
- Working Paper
The Political Economy of a 'Miracle Cure': The Case of Nebulized Ibuprofen and Its Diffusion in Argentina
By: Sebastian Calónico, Rafael Di Tella and Juan Cruz Lopez Del Valle
We document the diffusion of nebulized ibuprofen in Argentina as a treatment for COVID-19. As the pandemic spread, this clinically unsupported drug reached thousands of patients, even some seriously ill, despite warnings by the regulator and medical societies. Detailed...
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Keywords:
COVID-19;
Health Care and Treatment;
Health Pandemics;
Adoption;
Behavior;
Governing Rules, Regulations, and Reforms;
Learning
Calónico, Sebastian, Rafael Di Tella, and Juan Cruz Lopez Del Valle. "The Political Economy of a 'Miracle Cure': The Case of Nebulized Ibuprofen and Its Diffusion in Argentina." NBER Working Paper Series, No. 31781, October 2023.
- October 2023 (Revised February 2024)
- Technical Note
Design and Evaluation of Targeted Interventions
By: Eva Ascarza and Ta-Wei (David) Huang
Targeted interventions serve as a pivotal tool in business strategy, streamlining decisions for enhanced efficiency and effectiveness. This note delves into two central facets of such interventions: first, the design of potent decision guidelines, or targeting...
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Keywords:
Marketing;
Customer Relationship Management;
Analysis;
Design;
Business Strategy;
Retail Industry;
Apparel and Accessories Industry;
Technology Industry;
Financial Services Industry;
Telecommunications Industry
Ascarza, Eva, and Ta-Wei (David) Huang. "Design and Evaluation of Targeted Interventions." Harvard Business School Technical Note 524-034, October 2023. (Revised February 2024.)
- October–December 2023
- Article
A Practical Guide to Conversation Research: How to Study What People Say to Each Other
By: Michael Yeomans, Katelynn Boland, Hanne K. Collins, Nicole Abi-Esber and Alison Wood Brooks
Conversation—a verbal interaction between two or more people—is a complex, pervasive, and consequential human behavior. Conversations have been studied across many academic disciplines. However, advances in recording and analysis techniques over the last decade have...
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Yeomans, Michael, Katelynn Boland, Hanne K. Collins, Nicole Abi-Esber, and Alison Wood Brooks. "A Practical Guide to Conversation Research: How to Study What People Say to Each Other." Advances in Methods and Practices in Psychological Science 6, no. 4 (October–December 2023).
- 2023
- Working Paper
Black-box Training Data Identification in GANs via Detector Networks
By: Lukman Olagoke, Salil Vadhan and Seth Neel
Since their inception Generative Adversarial Networks (GANs) have been popular generative models across images, audio, video, and tabular data. In this paper we study whether given access to a trained GAN, as well as fresh samples from the underlying distribution, if...
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Olagoke, Lukman, Salil Vadhan, and Seth Neel. "Black-box Training Data Identification in GANs via Detector Networks." Working Paper, October 2023.
- 2023
- Working Paper
Cost-Efficient Decarbonization of Portland Cement Production
By: Gunther Glenk, Anton Kelnhofer, Rebecca Meier and Stefan Reichelstein
Accounting for nearly 8% of global annual carbon dioxide (CO2) emissions, the cement industry is considered difficult to decarbonize. While a sizeable number of abatement levers for Portland cement production is becoming technologically ready for deployment, many are...
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Keywords:
Decarbonization;
Carbon Abatement;
Carbon Accounting;
Carbon Emissions;
Carbon Regulation;
Carbon Tax;
Net-zero Emissions;
Management;
Environmental Management;
Sustainable Cities;
Accounting;
Management Analysis, Tools, and Techniques;
Environmental Accounting;
Energy;
Environmental Sustainability;
Construction Industry;
Steel Industry;
Pulp and Paper Industry;
Real Estate Industry;
Consulting Industry;
Energy Industry;
Green Technology Industry;
Manufacturing Industry;
Utilities Industry;
Industrial Products Industry;
Europe;
North America;
South America;
Africa;
Asia
Glenk, Gunther, Anton Kelnhofer, Rebecca Meier, and Stefan Reichelstein. "Cost-Efficient Decarbonization of Portland Cement Production." Harvard Business School Working Paper, No. 24-025, October 2023. (TRR 266 Accounting for Transparency Working Paper Series, No. 120, May 2023.)