Scientific practice

Armin Tavakoli discusses the growing ability of commercial AI models to contribute to scientific discovery with limited human involvement. The talk surveys current capabilities and examines their consequences for academia, organizing the discussion around grants and recruitment, scientific practice itself, and university education. It proposes possible responses and invites a wider discussion of how institutions and researchers should address these challenges. Hybrid seminar in the Rydberg Lecture Hall, Department of Physics, Professorsgatan 1B, Lund, Sweden, with public Zoom attendance. Coff

Gaute Einevoll reflects on scientific practice, trust in research and the relationship between researchers and society. Solo episode in Norwegian.

The talk argues for a new approach to analysing analogical reasoning in scientific practice. Traditionally, philosophers of science tend to analyse analogical reasoning in either a top-down way or a bottom-up way. Examples of top-down approaches include Mary Hesse’s seminal work (1963) and Paul Bartha’s articulation model (2010), while most popular bottom-up approach is John Norton’s material approach (2018). I will address the problems of these traditional approaches and introduce an alternative approach, which is motivated by my exemplar-based approach to the history of science, defended in