Harvard Data Science Review Podcast

The Harvard Data Science Review Podcast is a data-science lens on how decisions are shaped by technology, policy, and business. It’s particularly valuable for PR pros pitching experts who can connect analytics to real-world impacts—ethics, governance, strategy, and societal outcomes.

64 episodes, Monthly, 4.4 rating

<1k, Male, USA

30s Ad: 16 - 20, 60s Ad: 19 - 23, CPM Category: Technology

datasciencereview@harvard.edu

Liberty Vittert-Capito

Tech News, News, News Commentary, Business, Technology, Health & Fitness, Science, Society & Culture

Scholars (especially Harvard-affiliated or academically recognized), senior industry founders/CEOs, and leaders with published work or direct responsibility for deploying data/AI in organizations (including governance/ethics). Guests should credibly bridge data science with societal impacts (policy, health, behavior) or with applied enterprise AI strategy.

Academic leadership roles (program/director titles), Published research/articles on AI, health, or human flourishing, Founder/CEO experience building data/AI-driven products or services, Recognized thought leadership in AI strategy, governance, and responsible deployment

Tyler VanderWeele - Human Well-being And Flourishing In The Age Of Ai; Empirical Perspectives; Ethical Implications For Technology Affecting Human Capacities, Noreen Herzfeld - AI And Human Flourishing; Limits/ethics Of Technology; Meaning, Connection, And Responsibilities Of Developers, Adam Cohen-Aslatei - Human-centered Matchmaking Vs Algorithmic Optimization; Data Vs Chemistry; Outcomes And Customer Needs, Amy Andersen - Algorithmic Dating Vs Human Intuition; Data Behind Matchmaking Outcomes; Whether AI Can Support Lasting Connection, Ulla Kruhse-Lehtonen - Practical Strategy For Agentic Ai; Why Outcomes Matter; Human-ai Collaboration; Governance And Mindware For Real Value

Data Science, Artificial Intelligence, Ethics, Policy, Governance, Strategy, Health, Psychology, Analytics, Workflows