HeyJaredNullius in Verba
Nullius in Verba is a podcast about science—what it is and what it could be. It is hosted by Smriti Mehta from UC Berkeley and Daniël Lakens from Eindhoven University of Technology.
- Indexed episodes, last 90 days
- 4
- Latest publication
- Sep 4, 2026
- Audience
- Checking…
- Earliest in this view
- Jul 17, 2026
Latest episodes
Episode 83: Codices de Moribus Scientificis - I (opens the original)
Read excerpt
In this two-part episode, we examine scientific codes of conduct, using the Netherlands Code of Conduct for Research Integrity as our primary example. We discuss why such codes are necessary, where their guiding principles come from, and how (and whether) they are enforced.
Episode 82: Scientia: Nova Aetas Aurea (opens the original)
Read excerpt
In this episode, we will reflect on how governments should support science, from the 1945 policy report Science: The Endless Frontier by Vannevar Bush, and then move on to the recent policy document by the Trump Administration 'Science: A New Golden Age'. We reflect on what we like about the policy report and what we like less. Is the linear model from basic research to application indeed outdated? Are metascience units a good idea? And will AI accelerate and radically transform how we do scienc
Episode 81: Analysis Multiversi (opens the original)
Read excerpt
In this episode, we will discuss multiverse analysis–what it is, why we use it, and how we should use it. We also discuss many analyst projects, and Daniel's new preprint on multiverse analysis. Shownotes Auspurg, K. (2025). Robustness is better assessed with a few thoughtful models than with billions of regressions. Proceedings of the National Academy of Sciences, 122(43), e2521917122. Chamberlin, T. C. (1890). The method of multiple working hypotheses. Science, (366), 92–96. Dochtermann, N. A.
Episode 80: Intelligentia Artificialis (opens the original)
Read excerpt
After a short break due to busy calendars, we are back to discuss the role automation and artificial intelligence can play in science. Is AI evil, or does it just amplify the problems that were already present in science? Can automated AI driven checks help scientists to improve the way they work? If so, where are these tools helpful, and when? Enjoy. The Babbage quote is from Babbage in November 1839, recalling events in 1821; quoted in Harry Wilmot Buxton and Anthony Hyman (1988), Memoir of th
Publishing over time
Last 90 days. Choose a month to open its work.
Recurring subjects
Named in the text we hold. One piece can cover several.
Audience
No verified audience measurement yet.
About this data
Counts cover the work we have indexed. Tone needs enough text and a confident classification. Excerpts and episode notes are not full articles or transcripts.
Identity or attribution wrong? Suggest a correction.