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At KNOWDYN, we are developing computational sentience not just to advance science but to serve the scientists behind it. Our commitment is clear: AI should alleviate, not exacerbate, the immense pressures scientists face—pressures that lead to burnout, isolation, and mental health crises.

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Are you a talented researcher?

Do you have what it takes to face the world's biggest challenges?

We help academics become successful inventors, founders, and advisors. Unlike university incubators, we focus on the human side of the knowledge capital transformation. Through our unique behavioral ec

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By accessing or using the Public Access Assets (“Assets”) from KNOWDYN, you agree to the following Terms and Conditions. If you do not accept these Terms, you must refrain from using the Assets.

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KNOWDYN is a research lab working on the blurring boundaries between human intellect and machine intelligence. Our projects create novel knowledge value-chains across disciplines, guided by actionable world view for democratic, equitable, and responsible innovation.

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This is a legally binding agreement governing the access and use of KNOWDYN's intellectual property. By engaging with KNOWDYN's content—whether by visiting, browsing, or using materials—you affirm your understanding and acceptance of the following terms

KNOWDYN Fair Knowledge Agreement

WorldView is essential for everyone involved in funding, developing, regulating, and using LLMs. With a particular focus on international peace, WorldView reveals how AI-crafted narratives become tools of persuasion, how they marginalize alternative perspectives, and how they consolidate power withi

Project WorldView

CxPR Code of Conduct and Certification Guide

Our Policy Advocacy Mandate reflects a profound commitment to working alongside governments, public institutions, and policymakers to design frameworks that empower innovation while prioritising humanity's shared values: equity, sustainability, and trust.

Policy Advocacy Mandate

Is your university ready for the future?

As instructive content becomes freely available and accessible through GenAI, universities should hire fewer traditional academic faculty and more mentors who can be focused on guiding self-driven learners. 