In an era dominated by oceans of data, D^3 hosts a community of practice that offers a discerning perspective on the intricate tapestry of data governance, privacy, security, and regulatory compliance. Participants in this community engage in a comprehensive discourse amongst industry experts, exploring responsible AI and the dynamic realm of regulations, industry standards, and best practices. The community explores how to harness the immense potential of data for strategic business advancement while ensuring the safeguarding of sensitive information, upholding privacy rights, and establishing or integrating resilient and ethical frameworks that underpin success in data-driven endeavors.
Loneliness is both a personal issue and a growing public health challenge. Research by Lameese Eldesouky, Assistant Professor of Psychology at the American University of Cairo (AUC), Amit Goldenberg, Assistant Professor at Harvard Business School and Faculty PI in D^3’s Digital Emotions Lab, and Kate Ellis, Professor of Psychology at AUC, described in their paper, […]
Loyalty programs are designed to reward consumers for their repeat business while helping companies foster brand allegiance and gather valuable insights. However, in their article, “Loyalty programs may limit competition, and they could be pushing prices up for everyone,” Scott Duke Kominers, Professor at Harvard Business School and Principal Investigator of D^3’s Crypto, Fintech, & […]
Michael Porter’s Five Forces framework has long been a cornerstone for analyzing competitive strategy. This model helps businesses map their competitive landscape and identify sources of defensible advantages. However, the advent of web3 technologies has fundamentally altered the nature of competition and collaboration in the digital realm, necessitating a reevaluation of how firms establish market […]
The internet’s dominance in modern economic and social activities makes understanding online behavior critical for businesses, policymakers, and researchers. However, traditional tools for measuring this behavior have significant limitations, especially for independent researchers without access to proprietary user data from technology companies. In response to this challenge, Webmunk, an open-source tool, offers a promising solution. […]
