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Fellesseminar

Fellesseminar på Matematisk institutt

Seminarer av interesse for alle ansatte på instituttet

Hovedinnhold

Seminarene holdes på onsdager, 1-2 gang i måneder, se kalenderen nedenfor. 

Vår 2025

Dato    TidStedForedragsholderTittel/Abstract
12. Feb14:15-15:00Delta (4A9f)Håkon Kristian GjessingShort term prediction of Covid-19 hospitalization and death rates
26. Feb14:15-15:00Delta (4A9f)Nikolai ØstgaardThe story of Birkeland Centre for Space Science (BCSS)
26. Mar14:15-15:00Delta (4A9f)Pål Grønas DrangeThe Role of AI in Math Education, Research, and Writing
2. Apr14:15-16:00Delta (4A9f)FellesmøteFellesmøte om undervisning
30. Apr14:15-15:00Delta (4A9f)Margherita Lelli-ChiesaRiemann surfaces and their Brill-Noether theory
7. Mai14:15-15:00Delta (4A9f)  
21. Mai14:15-15:00Delta (4A9f)  
28. Mai14:15-15:00Delta (4A9f)Hans Z. Munthe-KaasErfaring med ERC-AdG

 

28. Mai

Hans Z. Munthe-Kaas, MI UiB
Title: Erfaring med ERC-AdG

Abstract: TBA

 

30. April

Margherita Lelli-Chiesa, Universita' Roma Tre, Italia.
Title: Riemann surfaces and their Brill-Noether theory

Abstract: The study of moduli spaces of complex algebraic curves (or equivalently, compact Riemann surfaces) dates back to Riemann and is still one of the leading research directions in algebraic geometry. It is strictly related to the so-called Brill-Noether theory, that investigates the ways in which an algebraic curve can be embedded in some projective space. I will give a survey on the most relevant results in the theory, highlighting the two major proof techniques: degeneration to singular curves on the one hand, and specialization to curves lying on K3 surfaces on the other hand. I will then mention recent developments in the theory and some open questions.

 

26. Mars

Pål Grønas Drange
Title: The Role of AI in Math Education, Research, and Writing

Abstract: This lecture explores how AI is reshaping math education, research, and
writing. We start by discussing what AI really means and look at different ways
it can solve problems—whether by mimicking human thinking or by following
logical rules. We ask if AI is more than just hype and whether current research
might eventually lead to machines that truly understand the world.

There are clear cultural differences between mathematicians and AI
researchers. We'll review examples from both today and history that highlight
these differences. For instance, while AI could help with tasks like reviewing
literature, checking proofs, and linking ideas, it often focuses on producing
new results without fully grasping their meaning.

We'll also reflect on the idea that "writing is thinking" and consider what
happens when machines take over writing tasks. Finally, we discuss real-world
issues like grading in the age of AI, the ethics of building systems on
human-created content, and whether AI-generated work can or should be
published.

 

26. Februar

Nikolai Østgaard, leader of BCSS (2013-2023)
Title: The story of Birkeland Centre for Space Science (BCSS)

Abstract: I will give an overview of the 10 year Centre-of-Excellence: Birkeland Centre for Space Science covering: how it started, the heritage we built on, purpose and vision and main achievements. During the lifetime of BCSS we published 480 pee-reviewed papers, gave more tan 800 presentations, of which more than 150 were invited. We had 105 Master students and 33 PhD students. The last stunt of BCSS was an aircraft campaign hunting for terrestrial gamma-ray flashes in the summer of 2023. The observations we obtained during this campaign were way beyond our expectations and led to several discoveries that were published in two papers in Nature last year.  

 

12. februar 2025

Håkon Kristian Gjessing, FHI,  https://www.fhi.no/om/organisasjon/sff/hakon-k.-gjessing
Title: Short term prediction of Covid-19 hospitalization and death rates

Abstract: During the pandemic the Norwegian Institute of Public Health was under extreme pressure to deliver short and long term prediction of disease spread, hospitalizations, and deaths. I will show how models built on chaining together several regression type analyses provided fast and relatively reliable short term (2-3 weeks) predictions, in particular of deaths. I will also mention modeling that contributed to the discontinuation of the Astra-Zeneca vaccine in Norway, as well as models behind a “fair” vaccine distribution among municipalities.