What will the future of science look like? In this podcast, Philipp Koellinger sits down with world-class scientists to discuss where the scientific enterprise is broken today, and how we can fix it tomorrow.
Future of Science by DeSci Foundation
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15 episodes
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Podcast Overview
What will the future of science look like? In this podcast, Philipp Koellinger sits down with world-class scientists to discuss where the scientific enterprise is broken today, and how we can fix it tomorrow.
Language
🇺🇲
Publishing Since
9/30/2022
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Recent Episodes
June 24, 2024
#16 Richard Sever: The History and Future of Preprints and Scientific Validation
<p>This episode with Richard Sever, co-founder of bioRxiv and medRxiv, focuses on preprints. How come they have been so widely adopted as a means of disseminating research? Which factors helped, and what made the process difficult? We also discuss the place (and time) of scientific validation in a scientific system where work is published and shared rapidly, and independently, without in-depth review.</p>
April 3, 2024
#15 James Zou: Collaborating with AI
<p>In this episode, we talked to Professor James Zou, who brought us his perspective on how academia might collaborate with AI. He covered how AI could help us ask better questions instead of answering them, how they can translate information for different levels of expertise, and how we can use them to make our feedback more diverse and specific instead of general. After that, we explored how AI is already changing science by increasing the number of papers, creating more general GPT-generated reviews, and also making writing a more accessible task for incoming PhDs.</p> <p>To top it off, we all agreed that we would absolutely go to an AI-generated concert (especially if there were robots).</p> <p>James Zou is an Associate Professor of <a href="https://med.stanford.edu/dbds.html" target="_blank">Biomedical Data Science</a> and, by courtesy, of <a href="https://cs.stanford.edu/" target="_blank">Computer Science</a> and <a href="https://ee.stanford.edu/" target="_blank">Electrical Engineering</a> at <a href="http://www.stanford.edu/" target="_blank">Stanford University</a>. He works on making machine learning more reliable, human-compatible and statistically rigorous, and is especially interested in applications in <a href="https://sites.google.com/site/jamesyzou/publications#compbio" target="_blank">human disease and health</a>. Several of his algorithms are widely used in tech and biotech industries.</p> <p>If you enjoyed this episode, check out our other <a href="https://www.descifoundation.org/futureofscience" target="_blank" rel="noopener noreferer">seminars here. </a></p>
April 2, 2024
#14 James Evans: Designing Innovative Research Ecosystems
<p>How does innovation work? Can we design systems that optimize for innovative ideas and solutions? James Evans has been researching rich digital twins of knowledge ecosystems like science and Wikipedia. A key finding of his work is that diversity is the prime driver of innovation. In the episode we discuss which dimensions of diversity matter, and whether there is an optimal amount of diversity. We also cover how AI might help diversify the scientific idea space, and debate whether it may eventually replace human scientists.</p> <p><br></p> <p>Professor James Evans is the Director of Knowledge Lab, Professor of Sociology, Faculty Director of the Computational Social Science program, and member of the Committee on Conceptual and Historical Studies of Science at the University of Chicago. He is also an External Professor at the Santa Fe Institute. His research focuses on the collective system of thinking and knowing, ranging from the distribution of attention and intuition, the origin of ideas and shared habits of reasoning to processes of agreement (and dispute), accumulation of certainty (and doubt), and the texture–novelty, ambiguity, topology–of human understanding. He is especially interested in innovation–how new ideas and technologies emerge–and the role that social and technical institutions (e.g., the Internet, markets, collaborations) play in collective cognition and discovery.</p>
15 total episodes available
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