Visualize the invisible — Lecture Series “Wissenschaft für Alle” of GSI and FAIR remains online in 2022


The new program of the lecture series “Wissenschaft für Alle” of GSI and FAIR for the first term of 2022 has made it its motto to visualize the invisible. It is about the small and big aspects in microscopy and space as well as about possibilities to make information perceptible and tangible. The series will continue in an online format until further notice; interested parties can connect to the video conference events via a dial-up link using an internet-enabled device such as a laptop, cell phone or tablet. The program begins on Wednesday, January 19, 2022, with the lecture “Gestaltet, was Euch gestaltet! Oder: Für mein Gehirn bin ich selbst verantwortlich.” by Dr. Konrad Lehmann, aiming to make the processes in our brain recognizable.

Why am I who I am? Is my personality genetically determined? Is my destiny fixed with conception? Or do I have a chance to change myself actively and independently? Yes, say systemic neurobiology and psychology today: In all stages of life, the environment influences the brain and thus the development and shaping of our personality. Whether we grow up and live in a diverse and green or a non-stimulating environment, whether we are socially secure or uprooted, even subtle influences such as light and month of birth have a measurable and sometimes significant impact on brain and personality.

In his lecture, Dr. Konrad Lehmann shows that you are the master of yourself, and how you can always take control of your own life by changing your environment. We have the possibility to change ourselves through our environment. We are free in our decisions and our personality and therefore responsible for our own brain. The modern understanding of the brain combines freedom, openness and responsibility. Lehmann calls this idea "neuro-humanism", and sets it against the doctrine of the heteronomy of man.

Dr. Konrad Lehmann calls himself a “brain communicator”; he teaches brains about the brain, so to speak. He studied biology at the University of Bielefeld and received his doctorate with a thesis in neurobiology. Since 2006, he has conducted research on the brain's adaptability and learning mechanisms at Friedrich Schiller University in Jena, where he completed his habilitation in 2011. Since September 2019, he works at GSI/FAIR as a laboratory manager in the Biophysics Department. His research broadly revolves around how the mammalian brain adapts to different environmental conditions. In addition to a number of scientific publications, he has authored several books on the subject.

Other lectures in the course of the semester will focus, for example, on phenomena of the universe that evade our direct perception: black holes and dark matter. Two presentations will also deal with making tiny things visible via microscopy or making radioactivity visible at all. Finally, two lectures on machine learning in biomedicine and computer visualization will deal with the processing of data.

The German lectures will each begin at 2 p.m. For more information on access and the schedule of the event, please visit the event website at

The lecture series “Wissenschaft für Alle” is aimed at anyone interested in current science and research. The lectures will report on research and developments at GSI and FAIR, but also on current topics from other fields of science and technology. The aim of the series is to prepare and present scientific processes in a way that is understandable to people outside the field, thus making research accessible to a broad audience. The lectures are given by GSI and FAIR staff or by external speakers from universities and research institutes. (CP)

Current program:

  • Wednesday, January 19, 2022, 2 p.m.
    Gestaltet, was Euch gestaltet! Oder: Für mein Gehirn bin ich selbst verantwortlich.
    Konrad Lehmann, GSI/FAIR
  • Wednesday, February 16, 2022, 2 p.m.
    Schwarze Löcher und wie sie zu sehen sind
    Christoph Schürmann, Universität Bonn
  • Wednesday, March 16, 2022, 2 p.m.
    Machine Learning in der Biomedizin – Beispiele und Perspektiven
    Fabian Theis, Helmholtz Zentrum München
  • Wednesday, April 27, 2022, 2 p.m.
    Neue Entwicklungen zu Nachweis und Sichtbarmachung von radioaktiver Strahlung
    Kai Vetter, University of California Berkeley/Lawrence Berkeley National Laboratory
  • Wednesday, May 25, 2022, 2 p.m.
    Ein Bild sagt mehr als 1000 Daten – Wie Computervisualisierung unser Leben leichter machen kann
    Pascal Bormann, Fraunhofer-Institut für Graphische Datenverarbeitung, Darmstadt
  • Wednesday, June 15, 2022, 2 p.m.
    Das Rätsel der Dunklen Materie: Dem unsichtbaren Universum auf der Spur
    Kathrin Valerius, Karlsruher Institut für Technologie KIT
  • Wednesday, July 20, 2022, 2 p.m.
    Ich sehe was, was du nicht siehst – Mikroskopie in der Strahlenbiologie
    Burkhard Jakob, GSI/FAIR