News from the Göttingen Campus

Germany’s Scientific Advisory Board for Agricultural Policy, Food and Consumer Health Protection (WBAE) submits recommendations to the Federal Minister of Food and Agriculture
Germany’s Scientific Advisory Board for Agricultural Policy, Food and Consumer Health Protection (WBAE), an interdisciplinary body that advises the Federal Ministry of Food and Agriculture on a voluntary basis about policy development, today presents its new report “Promoting more sustainable food consumption: Developing an integrated food policy and creating fair food environments” to Federal Minister Julia Klöckner in Bonn. In it, the WBAE…
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Researchers led by Göttingen University develop new three-dimensional imaging technique to visualize tissue damage in severe Covid-19
Physicists at the University of Göttingen, together with pathologists and lung specialists at the Medical University of Hannover, have developed a three-dimensional imaging technique that enables high resolution and three-dimensional representation of damaged lung tissue following severe Covid-19. Using a special X-ray microscopy technique, they were able to image changes caused by the coronavirus in the structure of alveoli (the tiny air sacs in…
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Professor Tian studies dynamic phenomena in the Sun’s atmosphere; his research group is a partner group of the Max Planck Institute for Solar System Research.
Prof. Dr. Hui Tian, who leads a partner group of the Max Planck Institute for Solar System Research (MPS) at Peking University in China, has received this year's Karen Harvey Prize of the Solar Physics Division of the American Astronomical Society (AAS). The AAS thus honors Tian's contributions to the understanding of small-scale and dynamic processes in the solar atmosphere. Processes of this kind may hold the key to understanding how the Sun…
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The sensor, which was developed and built at MPS, has arrived in Bern. There the next phase of preparations for ESA's Jupiter mission will begin.
The sensor JEI (Jovian Electron and Ion Sensor), which will from 2029 onwards study the distribution of high-energetic electrons and ions in the Jovian system on board ESA's JUICE (Jupiter Icy Moon Explorer) spacecraft, has been completed. JUICE is scheduled to be launched in 2022, but JEI's journey has already begun. Yesterday, the sensor, which has been developed, built, and tested at the Max Planck Institute for Solar System Research (MPS) in…
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Featuring world-record optical resolution, super-resolution MINFLUX fluorescence microscopy, developed by Nobel Laureate Stefan Hell and his team, is able to discern fluorescent molecules that are only a few nanometers (millionths of a millimeter) apart. In other words, MINFLUX can resolve structural details that are more than one hundred times smaller than those that are visible with conventional fluorescence light microscopes.
In an initial application of this powerful technique to cell biology, researchers led by Stefan Hell and Stefan Jakobs have now optically dissected the distribution of individual proteins in a ~ 20-nanometer-sized protein cluster within a cellular organelle in 3D using multiple colors. MINFLUX nanoscopy thus proves to be an extremely powerful tool to find out if and how proteins group inside the cell, at the length scale of the proteins…
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Data from the last months of NASA’s Dawn mission paint a unique picture of the dwarf planet Ceres.
Until a million years ago, dwarf planet Ceres, the largest body in the asteroid belt, was the scene of cryovolcanic eruptions: below the Occator Crater, subsurface brine pushed upward; the water evaporated, leaving behind bright, salty deposits. This process is probably still ongoing. A team of researchers led by the Max Planck Institute for Solar System Research (MPS) in Germany comes to these conclusions after evaluating high-resolution camera…
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How municipalities organized the acceptance of asylum seekers in 2015 and 2016
When several hundred thousand refugees came to Germany within a short period of time five years ago, the responsible local administrations were put to the test. That meant a challenge for the state with its social systems and the administration, but by no means excessive demands. Rather, the local administration basically demonstrated its efficiency in 2015/16. However, in the course of admission by the municipalities, those seeking protection…
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To be successful strict local containment and low number of cross-regional infections are crucial
A team of scientists at the Max Planck Institute for Dynamics and Self-Organization in Göttingen has simulated possible courses of the corona pandemic. The calculations show that regional measures can keep the epidemic under control with substantially fewer restrictions than nationally imposed lockdowns if the number of cross-regional infections is low enough. However, regional thresholds for local restrictions should be lower than those…
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Research team led by the University of Göttingen analyses design and communication strategies for mass acceptance
Coronavirus tracing applications for the detection of infection chains are currently being developed and made available across the world. Such contact-tracing apps are a central component of national strategies for relaxing restrictions. However, for these apps to be successful, they must be widely accepted and actively used by a large proportion of the population. An international research team led by the University of Göttingen has investigated…
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Neural networks in both biological settings and artificial intelligence distribute computation across their neurons to solve complex tasks. New research now shows how so-called “critical states” can be used to optimize artificial neural networks running on brain-inspired neuromorphic hardware. The study was carried out by scientists from Heidelberg University working within the Human Brain Project, and the Max-Planck-Institute for Dynamics and Self-Organization (MPIDS). The results have been published in Nature Communications.
Many computational properties are maximized when the dynamics of a network are at a “critical point”, a state where systems can quickly change their overall characteristics in fundamental ways, transitioning e.g. between order and chaos or stability and instability. Therefore, the critical state is widely assumed to be optimal for any computation in recurrent neural networks, which are used in many AI applications. Researchers from the HBP…
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