people discussing

MSCJ presents ...

Meet Jena researchers in the field of data-driven and simulation-based sciences. Learn more about their diverse research and exciting ideas. Find collaborations for solving interdisciplinary research questions.
people discussing
Image: Gerd Altmann auf Pixabay
Event details
Export this event in ICS format
Start
End
Type of event
Vortrag/Vorlesung
Venue
University Main Building (UHG)
Fürstengraben 1, meeting room of the senate (Senatssaal)
07743 Jena
Google Maps site planExternal link
Speakers
Prof. Dr. Tobias Koch
Dr. Kevin Maik Jablonka
Organizer
Michael Stifel Center Jena
Contact
Dr. Bettina Färber
Language of the event
English
Wheelchair access
No
Public
Yes
Zur Original-Veranstaltung

Second event of the series "MSCJ presents ..." by Michael Stifel Center Jena (MSCJ).

Here, members of MSCJ and other Jena researchers from the field of data-driven and simulation-based sciences introduce theirselves and their work in short talks (20 min + 10 min discussion). The presentations are followed by the opportunity for further discussion. The aim is to meet exciting people, research and ideas (in a discipline close to the own or with a new unexpected perspective) and to find collaboration partners for solving research questions that could be adressed best with perspectives from different disciplines.
The talks are given in English.

On 27.06.2024 MSCJ presents:

Prof. Dr. Tobias Koch

Psychological Methodology,
Friedrich Schiller University Jena

Prof. Koch's research focuses on longitudinal data analysis (including panel and intensive longitudinal data), Bayesian estimation, psychometrics, measurement theory, multitrait-multimethod analysis and causal inference, either individually or in any combination. He also uses machine learning and simulation-based methods in his research.

Chair Psychological Methodology de

Dr. Kevin Maik Jablonka

CZS Research Group "Polymers in Energy Applications" (Carl-Zeiss-Stiftung),
Friedrich Schiller University Jena, Helmholtz Institute for Polymers in Energy Applications (HIPOLE)

The discovery of materials and molecules is a tedious, expensive, and serendipitous process. An important reason for that is that it requires a lot of experience and tacit knowledge to become good at designing new compounds. In the group of Dr. Jablonka, data-driven techniques are leveraged to address this information bottleneck to accelerate the development of materials that work in the real world, e.g. for energy storage and conversion.

Research Group "Polymers in Energy Applications"

"MSCJ presents ..." is hold twice in each lecture period. In the winter semester, there will be one event at the DLR institute of Data Science, to meet the researchers and research topics there. For the second event we are already in contact with our members Dr. Nina Hahn (UKJ, Department of Neurology) and Dr. Melike Dönertaş (CZS Research Group "AI in Microbiome and Aging Research").