DiscoverVanishing GradientsEpisode 35: Open Science at NASA -- Measuring Impact and the Future of AI
Episode 35: Open Science at NASA -- Measuring Impact and the Future of AI

Episode 35: Open Science at NASA -- Measuring Impact and the Future of AI

Update: 2024-09-19
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Hugo speaks with Dr. Chelle Gentemann, Open Science Program Scientist for NASA’s Office of the Chief Science Data Officer, about NASA’s ambitious efforts to integrate AI across the research lifecycle. In this episode, we’ll dive deeper into how AI is transforming NASA’s approach to science, making data more accessible and advancing open science practices. We explore




  • Measuring the Impact of Open Science: How NASA is developing new metrics to evaluate the effectiveness of open science, moving beyond traditional publication-based assessments.

  • The Process of Scientific Discovery: Insights into the collaborative nature of research and how breakthroughs are achieved at NASA.

  • ** AI Applications in NASA’s Science:** From rats in space to exploring the origins of the universe, we cover how AI is being applied across NASA’s divisions to improve data accessibility and analysis.

  • Addressing Challenges in Open Science: The complexities of implementing open science within government agencies and research environments.

  • Reforming Incentive Systems: How NASA is reconsidering traditional metrics like publications and citations, and starting to recognize contributions such as software development and data sharing.

  • The Future of Open Science: How open science is shaping the future of research, fostering interdisciplinary collaboration, and increasing accessibility.



This conversation offers valuable insights for researchers, data scientists, and those interested in the practical applications of AI and open science. Join us as we discuss how NASA is working to make science more collaborative, reproducible, and impactful.



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Episode 35: Open Science at NASA -- Measuring Impact and the Future of AI

Episode 35: Open Science at NASA -- Measuring Impact and the Future of AI

Hugo Bowne-Anderson