FAU MoD Lecture: Discovering and Communicating Excellence

Date: Wed. October 16, 2024
Event: FAU MoD Lecture
Organized by: FAU MoD, the Research Center for Mathematics of Data at Friedrich-Alexander-Universität Erlangen-Nürnberg (Germany)

FAU MoD Lecture: Discovering and Communicating Excellence

Raising awareness and developing competence on the topic of excellence and gender for postdocs and actors in university communication
Speaker: Prof. Dr. Ute Klammer
Affiliation: Universität Duisburg-Essen (Germany)

Abstract. Various studies provide evidence that women and men are perceived and evaluated differently in their scientific achievements. Male scientists tend to be favoured over their female colleagues. This male bias in the perception of performance and excellence is one of the reasons why many capable and talented female academics leave the higher education system, meaning that their potential in research and teaching is lost.

Linked to this “drop-out” is the observation that women as postdocs or junior professors are often only insufficiently visible (or made visible) and are therefore less likely than their male colleagues to be recognised as innovators by the public and their discipline – a “gender visibility gap” can be diagnosed here. But what is actually perceived as scientific “excellence” – and what do younger scientists understand by it? Where and how can and should they and their achievements be (made) visible?

The lecture presents results on the topics and questions mentioned from an interview study and workshops at various universities as part of the ongoing research and practice project EXENKO (www.exzellenz-entdecken.de) led by the speaker. The focus is also on a group that has so far received little attention in studies and equality policy projects and that can support the process of making research talents visible: The actors in university communication who work at the interface between science and the public.

See poster

BIO.- Ute Klammer, born in 1963, holds academic degrees in economics as well as in philosophy and literature. She has been a full professor of social policy at the University of Duisburg-Essen (UDE) since 2007 and Managing Director of the Institute for Work, Skills and Training (IAQ), Faculty of Social Sciences, since 2016. Since May 2021, she has also been Director of the “German Institute for Interdisciplinary Social Policy Research” (DIFIS), a joint academic institution of the Universities of Duisburg-Essen and Bremen funded by the Federal Ministry of Labour and Social Affairs.

From 2008 to 2015, Ute Klammer was Vice Rector at the UDE with responsibility for Diversity Management and International Affairs. Her research and publications focus on European and international comparative labour market and social policy (in particular family policy, pension systems, labour market policy), gender research, higher education research, migration, poverty and income distribution. In a current research project, she and her team are investigating ideas of excellence and the visibility of female scientists addressing the “gender visibility gap“. Ute Klammer was, among other things, Chair of the Expert Commission for the First Gender Equality Report for the Federal Republic of Germany, Chair of the Federal Government’s Social Advisory Council and a member of the Federal Government’s Council for Sustainable Development.

AUDIENCE

This is a hybrid event (On-site/online) open to: Public, Students, Postdocs, Professors, Faculty, Alumni and the scientific community all around the world.

WHEN

Wed. October 16, 2024 at 16:00H (Berlin time)

WHERE

On-site / Online

This event on LinkedIn

 
You might like:
• FAU MoD Lectures
• FAU MoD Lecture: Measuring productivity and fixedness in lexico-syntactic constructions by Prof. Dr. Stephanie Evert
• FAU MoD Lecture: New avenues for the interaction of computational mechanics and machine learning by Prof. Dr. Paolo Zunino
• FAU MoD Lecture: Thoughts on Machine Learning by Prof. Dr. Rupert Klein
• FAU MoD Lecture: Using system knowledge for improved sample efficiency in data-driven modeling and control of complex technical systems by Prof. Dr. Sebastian Peitz
• FAU MoD Lecture: Image Reconstruction – The Dialectic of Modelling and Learning by Prof. Dr. Martin Burger
• FAU MoD Lecture: The role of Artificial Intelligence in the future of mathematics by Prof. Dr. Amaury Hayat
• FAU MoD Lecture: FAU MoD Lecture. Special November 2023 by Prof. Dr. Michael Kohlhase and Prof. Dr. Edriss S. Titi
• FAU MoD Lecture: Free boundary regularity for the obstacle problem by Prof. Dr. Alessio Figalli
• FAU MoD Lecture: Physics-Based and Data-Driven-Based Algorithms for the Simulation of the Heart Function by Prof. Dr. Alfio Quarteroni
• FAU MoD Lecture: From Physics-Informed Machine Learning to Physics-Informed Machine Intelligence: Quo Vadimus? by Prof. Dr. George Karniadakis
• FAU MoD Lecture: From Alan Turing to contact geometry: Towards a “Fluid computer” by Prof. Dr. Eva Miranda
• FAU MoD Lecture: Applications of AAA Rational Approximation by Prof. Dr. Nick Trefethen
• FAU MoD Lecture: Learning-Based Optimization and PDE Control in User-Assignable Finite Time by Prof. Dr. Miroslav Krstic

_
Don’t miss out our last news and connect with us!
www.mod.fau.eu/events

LinkedIn | X (Twitter) | Instagram