Er det ikke seksuell trakassering ved UiO? @realfagsbiblioteket

UiO Realfagsbiblioteket | Er det ikke seksuell trakassering ved UiO? @realfagsbiblioteket | Uploaded February 2018 | Updated October 2024, 1 hour ago.
På UiO har vi allerede ett etablert system for å håndtere vaslinger om seksuell trakassering. Samtidig er det et paradoks at instansene som skal ha oversikt over varslingssaker får inn svært få varsler som omhandler seksuell trakassering. Dette reiser et spørsmål om hvorvidt systemet fungerer godt nok, og hva vi kan gjøre for å forbedre det.

Panelet består av:
• Ragnhild Hennum – Leder for UiOs arbeidsgruppe for forebygging av seksuell trakassering
• Marit Solvik og Mari Møst - Studentombudet
• Anne Karin Mullally - Leder for SiO-helse sentrum
• Inger Anne Naterstad – Leder for studentprestene
• Ellen Tefre - Leder for Sifra-systemet
• Ordstyrer: Pauline Løvdal – Masterstudent i Religion og samfunn ved Det teologiske fakultet.

http://www.tf.uio.no/livet-rundt-studiene/arrangementer/seksuell-trakassering-ved-universitet-i-oslo.html

Klimafølsomheten: Det store spørsmålet i klimaforskningen

$Exploring System Dynamics in the Natural World with AI - William Gilpin William Gilpin (UT Austin) - Model scale versus domain knowledge in long-term forecasting of chaos Welcome to a conference on discovery and prediction in complex geo systems. AI/ML shows promise for accelerating Bayesian inversions, is able to capture and identify controlling features of high fidelity models, and appears to improve complex system analysis, including extending predictive horizons, for reasons that are not fully understood. This conference focuses on efforts to advance the use of AI/ML to understand physical processes in the geosciences and adjacent fields. AI/ML shows promise for accelerating Bayesian inversions, is able to capture and identify aspects of the dynamics of high fidelity models, and appears to improve complex system analysis, including extending predictive horizons, for reasons that are not fully understood. This has been demonstrated across the physical sciences including for geophysical modeling, fracture mechanics, and climate and weather prediction. This conference focuses on efforts to advance the use of AI/ML to understand physical processes in the geosciences and adjacent fields, and brings together practitioners and theorists from academia and industry for an open exchange of current results and discussions of future strategies. A central goal is to encourage diversity and collaboration between different disciplines, all through AI/ML practice, and to identify new connections between applications in fields, from networks to earthquakes, and turbulence to chaos. https://www.ub.uio.no/english/courses-events/events/mednat/ureal/2024/240930conference.html$

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Science Results from the James Webb Space Telescope