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      • 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... View Details
      Keywords: Business Model; Change Management; Entrepreneurship; Information Management; Business Strategy; Market Entry and Exit; Information Technology Industry
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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.)
      • October 2023 (Revised March 2024)
      • Case

      Fortinet: Cybersecurity Pioneer Ken Xie Considers the Long Game

      By: Tsedal Neeley, Jeff Huizinga and Emily Grandjean
      Ken Xie, cofounder of cybersecurity giant Fortinet, faced a critical decision that would validate his leadership. Fortinet became the industry’s second-largest pureplay cybersecurity firm by developing differentiated hardware and investing in R&D. However, after a... View Details
      Keywords: Leadership Development; Leadership Style; Marketing Strategy; Communication Strategy; Cybersecurity; Competitive Advantage; Information Technology Industry; United States; Sunnyvale
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      Neeley, Tsedal, Jeff Huizinga, and Emily Grandjean. "Fortinet: Cybersecurity Pioneer Ken Xie Considers the Long Game." Harvard Business School Case 424-016, October 2023. (Revised March 2024.)
      • 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... View Details
      Keywords: Cybersecurity; Copyright; AI and Machine Learning; Analytics and Data Science
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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.
      • September 2023 (Revised December 2023)
      • Case

      TetraScience: Noise and Signal

      By: Thomas R. Eisenmann and Tom Quinn
      In 2019, TetraScience CEO “Spin” Wang needed advice. Five years earlier, he had cofounded a startup that saw early success with a hardware product designed to help laboratory scientists in the biotechnology and pharmaceutical spaces more easily collect data from... View Details
      Keywords: Entrepreneurship; Business Growth and Maturation; Business Organization; Restructuring; Forecasting and Prediction; Digital Platforms; Analytics and Data Science; AI and Machine Learning; Organizational Structure; Network Effects; Competitive Strategy; Biotechnology Industry; Pharmaceutical Industry; United States; Boston
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      Eisenmann, Thomas R., and Tom Quinn. "TetraScience: Noise and Signal." Harvard Business School Case 824-024, September 2023. (Revised December 2023.)
      • September 2023 (Revised April 2024)
      • Case

      Atomwise: Strategic Opportunities in AI for Pharma

      By: Satish Tadikonda
      Abraham Heifets and his co-founder, Izhar Wallach, had founded Atomwise to develop i) an AI engine to transform drug discovery by creating better medicines faster, and ii) a machine learning-based discovery engine that combined the power of convolutional neural... View Details
      Keywords: Business Model; Business Startups; AI and Machine Learning; Science-Based Business; Technological Innovation; Biotechnology Industry; Pharmaceutical Industry
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      Tadikonda, Satish. "Atomwise: Strategic Opportunities in AI for Pharma." Harvard Business School Case 824-043, September 2023. (Revised April 2024.)
      • 2023
      • Working Paper

      Spatial Mobility, Economic Opportunity, and Crime

      By: Gaurav Khanna, Carlos Medina, Anant Nyshadham, Daniel Ramos-Menchelli, Jorge Tamayo and Audrey Tiew
      Neighborhoods are strong determinants of both economic opportunity and criminal activity. Does improving connectedness between segregated and unequal parts of a city predominantly import opportunity or export crime? We use a spatial general equilibrium framework to... View Details
      Keywords: Urban Development; Transportation Networks; Crime and Corruption; Transportation Industry; Medellín; Colombia; South America
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      Khanna, Gaurav, Carlos Medina, Anant Nyshadham, Daniel Ramos-Menchelli, Jorge Tamayo, and Audrey Tiew. "Spatial Mobility, Economic Opportunity, and Crime." Harvard Business School Working Paper, No. 24-016, September 2023. (R&R American Economic Review.)
      • 2023
      • Working Paper

      Mapping Organizational-Level Networks Using Individual-Level Connections: Evidence from Online Professional Networks

      By: Shelley Xin Li, Frank Nagle and Aner Zhou
      Organization-level networks facilitate the flow of information and business activities in the economy. Prior research relies solely on high-level connections to measure these networks. Therefore, to understand the role of employee connections at all job levels in... View Details
      Keywords: Networks; Value; Social and Collaborative Networks; Innovation and Invention; Knowledge Sharing; Employees; Social Media
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      Li, Shelley Xin, Frank Nagle, and Aner Zhou. "Mapping Organizational-Level Networks Using Individual-Level Connections: Evidence from Online Professional Networks." Harvard Business School Working Paper, No. 24-010, August 2023.
      • 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
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      Wu, Andy, and Matt Higgins. "Generative AI Value Chain." Harvard Business School Background Note 724-355, July 2023. (Revised July 2023.)
      • July 13, 2023
      • Article

      Threads Foreshadows a Big—and Surprising—Shift in Social Media

      By: Scott Duke Kominers and Liang Wu
      Threads, Meta’s Twitter competitor, has become the fastest downloaded app in history. One of the reasons for this is because it allows users to port over their profiles and follows from the already popular social media platform Instagram, also owned by Meta—a feature... View Details
      Keywords: Decentralization; Twitter; Facebook; Instagram; Crypto Economy; Blockchain; Network; Industrial Organization; Competition; Open Innovation; Open Platforms; Open Source Innovation; Social Networks; Social Media; Applications and Software; Information Technology Industry
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      Kominers, Scott Duke, and Liang Wu. "Threads Foreshadows a Big—and Surprising—Shift in Social Media." Harvard Business Review Digital Articles (July 13, 2023).
      • July 2023
      • Article

      So, Who Likes You? Evidence from a Randomized Field Experiment

      By: Ravi Bapna, Edward McFowland III, Probal Mojumder, Jui Ramaprasad and Akhmed Umyarov
      With one-third of marriages in the United States beginning online, online dating platforms have become important curators of the modern social fabric. Prior work on online dating has elicited two critical frictions in the heterosexual dating market. Women, governed by... View Details
      Keywords: Online Dating; Internet and the Web; Analytics and Data Science; Gender; Emotions; Social and Collaborative Networks
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      Bapna, Ravi, Edward McFowland III, Probal Mojumder, Jui Ramaprasad, and Akhmed Umyarov. "So, Who Likes You? Evidence from a Randomized Field Experiment." Management Science 69, no. 7 (July 2023): 3939–3957.
      • June 2023
      • Supplement

      Clash of Two Giants Simulation Exercise

      By: Feng Zhu and Marco Iansiti
      Many markets are organized around platforms that connect consumers with complementary applications and services. These platforms are two-sided because both sides - consumers and those providing applications or services - need access to the same platform to interact. A... View Details
      Keywords: Customer Acquisition; Platform Strategy; Technology Platform; Digital Platforms; Competitive Strategy; Network Effects
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      Zhu, Feng, and Marco Iansiti. "Clash of Two Giants Simulation Exercise." Harvard Business School PowerPoint Supplement 623-717, June 2023.
      • June 2023
      • Exercise

      Clash of Two Giants Simulation Exercise Instructions

      By: Feng Zhu and Marco Iansiti
      Many markets are organized around platforms that connect consumers with complimentary applications and services. These platforms are two-sided because both sides - consumers and those providing applications or services - need access to the same platform to interact. A... View Details
      Keywords: Platform Strategies; Technology Platform; Customer Acquisition; Network Effects; Digital Platforms; Marketplace Matching; Strategy
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      Zhu, Feng, and Marco Iansiti. "Clash of Two Giants Simulation Exercise Instructions." Harvard Business School Exercise 623-092, June 2023.
      • June 2023 (Revised October 2024)
      • Teaching Note

      Clash of Two Giants Simulation Exercise Teaching Note

      By: Feng Zhu
      Teaching Note for HBS Case No. 623-092. Many markets are organized around platforms that connect consumers with complimentary applications and services. These platforms are two-sided because both sides—consumers and those providing applications or services—need access... View Details
      Keywords: Platform Strategy; Customer Acquisition; Technology Platform; Competitive Strategy; Network Effects; Digital Platforms; Management Skills
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      Zhu, Feng. "Clash of Two Giants Simulation Exercise Teaching Note." Harvard Business School Teaching Note 623-093, June 2023. (Revised October 2024.)
      • June 2023
      • Article

      The Effect of Firms' Information Exposure on Safeguarding Employee Health: Evidence from COVID-19

      By: Lisa Yao Liu and Shirley Lu
      We show that information exposure through international business networks enables firms to take proactive measures that benefit employees and potentially the local community. Specifically, in the early days of COVID-19, firms that have business networks with China and... View Details
      Keywords: COVID-19 Pandemic; Networks; Knowledge Use and Leverage; Health Pandemics; Decision Choices and Conditions; Corporate Social Responsibility and Impact
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      Liu, Lisa Yao, and Shirley Lu. "The Effect of Firms' Information Exposure on Safeguarding Employee Health: Evidence from COVID-19." Journal of Accounting Research 61, no. 3 (June 2023): 891–933.
      • 2023
      • Article

      Estimating Causal Peer Influence in Homophilous Social Networks by Inferring Latent Locations.

      By: Edward McFowland III and Cosma Rohilla Shalizi
      Social influence cannot be identified from purely observational data on social networks, because such influence is generically confounded with latent homophily, that is, with a node’s network partners being informative about the node’s attributes and therefore its... View Details
      Keywords: Causal Inference; Homophily; Social Networks; Peer Influence; Social and Collaborative Networks; Power and Influence; Mathematical Methods
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      McFowland III, Edward, and Cosma Rohilla Shalizi. "Estimating Causal Peer Influence in Homophilous Social Networks by Inferring Latent Locations." Journal of the American Statistical Association 118, no. 541 (2023): 707–718.
      • March 2023
      • Case

      Mirakl: Growing The Marketplace Economy

      By: Antonio Moreno, Santiago Gallino and Emilie Billaud
      Mirakl provided the technology and seller network required for companies like Macy's, Best Buy, Walmart, Siemens, or Carrefour to simply design, launch, and administer a marketplace that included products from third-party sellers. What began as a basic business idea in... View Details
      Keywords: Business Growth and Maturation; Business Startups; Transformation; Technological Innovation; Growth and Development Strategy; Internet and the Web; Technology Adoption; Sales; Information Technology Industry; Information Technology Industry; Information Technology Industry; Europe; France; Paris; United States
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      Moreno, Antonio, Santiago Gallino, and Emilie Billaud. "Mirakl: Growing The Marketplace Economy." Harvard Business School Case 623-054, March 2023.
      • March 2023 (Revised June 2023)
      • Teaching Note

      Ransomware Attack at Springhill Medical Center

      By: Suraj Srinivasan and Li-Kuan (Jason) Ni
      Teaching Note for HBS Case No. 123-065. In July, 2019, Springhill Medical Center (“SMC”) in Mobile, Alabama fell prey to a malicious ransomware attack that crippled the hospital’s internal network systems and public-facing web page. While the hospital rushed to... View Details
      Keywords: Disruption; Communication; Communication Strategy; Decision Making; Decision Choices and Conditions; Judgments; Corporate Accountability; Corporate Disclosure; Corporate Governance; Governance Controls; Policy; Employees; News; Cybersecurity; Digital Strategy; Information Infrastructure; Information Management; Internet and the Web; Crisis Management; Business or Company Management; Resource Allocation; Risk Management; Negotiation Tactics; Failure; Business and Stakeholder Relations; Attitudes; Behavior; Perception; Reputation; Trust; Public Opinion; Social Issues; Health Industry; Alabama; United States
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      Srinivasan, Suraj, and Li-Kuan (Jason) Ni. "Ransomware Attack at Springhill Medical Center." Harvard Business School Teaching Note 123-068, March 2023. (Revised June 2023.)
      • February 2023
      • Case

      Ransomware Attack at Springhill Medical Center

      By: Suraj Srinivasan and Li-Kuan (Jason) Ni
      In July, 2019, Springhill Medical Center (“SMC”) in Mobile, Alabama, fell prey to a malicious ransomware attack that crippled the hospital’s internal network systems and public-facing web page. While the hospital rushed to securely restore the network, medical... View Details
      Keywords: Disruption; Communication; Communication Strategy; Decision Making; Decision Choices and Conditions; Judgments; Corporate Accountability; Corporate Disclosure; Corporate Governance; Governance Controls; Policy; Employees; News; Cybersecurity; Digital Strategy; Information Infrastructure; Information Management; Internet and the Web; Crisis Management; Resource Allocation; Risk Management; Negotiation Tactics; Failure; Business and Stakeholder Relations; Attitudes; Behavior; Perception; Reputation; Trust; Public Opinion; Social Issues; Health Industry; United States; Alabama
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      Srinivasan, Suraj, and Li-Kuan (Jason) Ni. "Ransomware Attack at Springhill Medical Center." Harvard Business School Case 123-065, February 2023.
      • February 2023 (Revised March 2023)
      • Case

      Hey, Insta & YouTube, Are You Watching TikTok?

      By: Felix Oberholzer-Gee
      In early 2023, the entertainment app TikTok reached close to 1 billion users globally, placing it 4th behind the leading social networks of Facebook, YouTube, and Instagram. Featuring a sophisticated recommendation engine, TikTok mastered the art of keeping users... View Details
      Keywords: Social Media; Applications and Software; Business Model; Competition; Organizational Change and Adaptation
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      Oberholzer-Gee, Felix. "Hey, Insta & YouTube, Are You Watching TikTok?" Harvard Business School Case 723-426, February 2023. (Revised March 2023.)
      • 2023
      • Article

      Evaluating Explainability for Graph Neural Networks

      By: Chirag Agarwal, Owen Queen, Himabindu Lakkaraju and Marinka Zitnik
      As explanations are increasingly used to understand the behavior of graph neural networks (GNNs), evaluating the quality and reliability of GNN explanations is crucial. However, assessing the quality of GNN explanations is challenging as existing graph datasets have no... View Details
      Keywords: Analytics and Data Science
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      Agarwal, Chirag, Owen Queen, Himabindu Lakkaraju, and Marinka Zitnik. "Evaluating Explainability for Graph Neural Networks." Art. 114. Scientific Data 10 (2023).
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