Forschungskolloquium für Wissenschaftler:innen, Studierende und Interessierte (auf Englisch) / Research colloquium for scientists, students and interested parties (in English)
Vorträge über Neuroimaging, Computational Psychiatry und neue Entwicklungen von etablierten Forscher:innen aus anderen deutschen und internationalen Universitäten.
Die Vorträge sind in englischer Sprache und finden in der Regel einmal im Monat am Donnerstag um 15:00 Uhr statt.
Nähere Informationen sowie Zoom-Zugangsdaten erhalten Sie per Ankündigung, auf unserer Homepage oder auf Nachfrage
Lectures on neuroimaging, computational psychiatry and new developments by established researchers from other German and
international universities.
The lectures are in English and take place once a month on Thursdays at 15:00.
You will receive further information and Zoom access data by announcement, on our homepage or on request
Dates 2024:
11.07.24: Dr. Steffen Bollmann
Summer break
Next Talk:
Thursday, July 11th 2024 at 13:00
Location:
SR 1 (Pavillon), Department of Psychiatry and Psychotherapy and via zoom.
and
Additional zoom access data (constantly equal):
https://uni-jena-de.zoom.us/j/69357966003
Meeting ID: 693 5796 6003
ID code: talk
Speaker:
School of Electrical Engineering and Computer Science
The University of Queensland, Australia
Title:
"How could we make scientific software FAIR?"
Dr. Steffen Bollmann joined UQ’s School of Electrical Imaging and Computer Science in 2020 where he leads the Computational Imaging Group. The Group is developing computational methods to extract clinical and biological insights from magnetic resonance imaging (MRI) data. The aim is to make cutting-edge algorithms and tools available to a wide range of clinicians and researchers. This will enable better images, faster reconstruction times and the efficient extraction of clinical information to ensure a better understanding of a range of diseases. Dr Bollmann was appointed Artificial Intelligence (AI) lead for imaging at UQ’s Queensland Digital Health Centre (QDHeC) in 2023.
His research expertise is in quantitative susceptibility mapping, image segmentation and software applications to help researchers and clinicians access data and algorithms.
Despite the vital role of scientific software, it remains an overlooked part of research, often developed within short funding periods with little support for long-term maintenance. This results in software that is hard to discover and challenging to install. It also lacks interoperability across different computing systems, hindering its reuse and violating the FAIR principles - which advocate for scientific outputs to be Findable, Accessible, Interoperable, and Reusable. In this talk, I will present our attempts at this problem through the Neurodesk.org project, and I will show what we are planning next.
Feel free to share this announcement with colleagues, staff and students!