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Events

Jul 27

Open and User Innovation Conference 2026

9:00 am - 6:00 pm In Person Event / Harvard Business School
The Open and User Innovation (OUI) Society and the Digital Data Design Institute at Harvard and Harvard Business School cordially invite you to the 23rd Annual International Conference on Open and User Innovation. For over two decades, the OUI Conference has served as a leading forum for research on how users, communities, and open systems […]
A Leader's Guide to Implementing AI
Jul 16

D^3 Discussions: A Leader’s Guide to Implementing AI

1:00 pm - 2:00 pm EDT In Person Event
Join Mark Fagan, author of Governing with AI: How the Public Sector Can Use Artificial Intelligence to Improve Performance, for a practical webinar on how leaders can turn today’s AI moment into real public value. With generative AI accelerating, organizations and institutions are facing a critical nexus: exciting tools, high expectations, and very real risks to […]
D^3 Discussions Beyond Automation How AI Redefines Competitive Advantage
Jun 25

D^3 Discussions: Beyond Automation – How AI Redefines Competitive Advantage

10:00 am - 11:00 am EDT Virtual Event
Join us for a D^3 Discussions webinar with Sangeet Paul Choudary, best-selling author of Reshuffle, as he invites us to think bigger about AI’s impact on the future. Rather than getting caught up in individual automation or task productivity, Choudary will unpack how AI reshapes organizations and competition, why constraints determine which AI-driven predictions will actually […]
May 19

Leading with AI 2026

10:00 am - 1:30 pm Virtual Event
While AI represents the most powerful wave of innovation in a generation, public sentiment toward it is increasingly polarized and weary. Many workers feel that AI is being done to them, not for them. The dominant feeling across much of the American workforce is disenchantment, the sense that they played by the rules, but the […]
Apr 24

D^3 Discussions: Imagination, Institutions, and AI

2:00 pm - 3:00 pm EDT Virtual Event
Unlocking the problem-solving power of generative AI Join Mitch Weiss and Stephen Goldsmith for a conversation on how generative AI is beginning to reshape the practice of city government as a tool for improving performance, decision-making, and imagination. Drawing on Goldsmith’s decades of experience leading data-driven reform incites and Weiss’s work on “possibility government,” this […]
Apr 15

From Next-Token Prediction to Automata Induction: Theory and Application | LISH Seminar Series

1:00 pm - 2:00 pm Hybrid Event / Conference Room B82 - Baker Bloomberg Library, HBS
Karim Lakhani and Jackie Lane are hosting a new seminar series at Digital Data Design Institute at Harvard (D^3)’s LISH, spotlighting how Artificial Intelligence and Digital Technologies are transforming business and society. This is the third seminar in this series Speaker: Ashesh RambachanSilverman (1968) Family Career Development Assistant Professor of Economics, MIT Date and Time: […]
D^3 Discussions Making Better Decisions with AI
Mar 26

D^3 Discussions: Making Better Decisions with AI

2:00 pm - 3:00 pm EDT Virtual Event
Hosted by Matt Nemesure, PhD, Senior Data Scientist at Microsoft and former Lead Data Scientist at the Digital Data Design Institute at Harvard (D^3), D^3 Discussions: Making Better Decisions with AI introduces how you can use AI to support clearer thinking, better decisions, and more efficient workflows across many domains. We’ll explore how AI can […]
Mar 24

Advancing Frontiers Conference | Tech for All Lab

1:00 pm - 2:00 pm Virtual Event
The West Africa Centre for Crop Improvement (WACCI), University of Ghana, in collaboration with researchers at the Digital Data Design Institute at Harvard and Borlaug Global Rust Initiative (BGRI), Cornell University will host the Inaugural Advancing Frontiers Conference (AFC) – a fully virtual event scheduled for March 24, 2026. The conference, themed “Research to Innovation […]
D^3 Discussion the Agentic AI Advantage Tim Sanders Wednesday, March 4, 2:00pm ET
Mar 4

D^3 Discussions: The Agentic AI Advantage

2:00 pm - 3:00 pm EST Virtual Event
Rescheduled for 2:00pm ET Wednesday, March 4, 2026 Join a special D^3 Discussions webinar with Tim Sanders, author, Chief Innovation Officer at G2, and HBS Executive Fellow, as he demystifies Agentic AI – the emerging class of autonomous systems poised to transform business performance in the new year and beyond. Building on his influential thinking […]
D^3 Discussions from Idea to Product. Dr. Marily Nika Generative AI Product Lead at Google and AI Educator. Friday, January 16 1:00pm ET
Jan 16

D^3 Discussions: From Idea to Product

1:00 pm - 2:00 pm EST Virtual Event
Join us for an AI enablement webinar with D^3 Executive Fellow, Dr. Marily Nika, expanding on her Future Proof with AI learning pathway AI-Enhanced Product Management and her new book The AI Product Playbook. In this session, Dr. Nika will break down how product managers can harness generative AI across the entire product lifecycle, from research […]
Dec 9

Learning, Sorting, and Market Formation in Entrepreneurship | LISH Seminar Series

1:00 pm - 2:00 pm Hybrid Event
Karim Lakhani and Jackie Lane are hosting a new seminar series at Digital Data Design Institute at Harvard (D^3)’s LISH, spotlighting how Artificial Intelligence and Digital Technologies are transforming business and society. This is the third seminar in this series Speaker: Amir SaririAssistant professor of strategic management at Purdue University, Visiting Scholar at MIT Sloan […]
D^3 Discussions Predicting the Future of Work Cover
Dec 5

D^3 Discussions: Predicting the Future of Work

1:00 pm - 2:00 pm EST Virtual Event
Organizations invest substantial resources in workplace wellbeing programs—flexible schedules, mental health resources, team-building initiatives—yet most fail to produce sustained benefits. The challenge lies not in the interventions themselves, but in the inability to predict which approaches will prove effective, at what scale, and for which employee populations. Traditional methods rely on costly trial-and-error or simplified […]

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