Newsroom
Stay informed with our latest news and announcements on this page. For more in-depth content, we also encourage visitors to explore our bimonthly STRUCTURES Newsletter magazine, which features a variety of articles, interviews with members, and background information on our latest research and activities.
Click on the image to open the poster as PDF. We are delighted to announce the colloquium Tea, Coffee, Cake, and TDA on Thursday, June 27, at 2 PM. Kelly Spry Maggs (EPFL) will be talking about Cohomology classes in the RNA transcriptome. The event will take place at Konferenzraum 05/104, Mathematikon, INF 205. After the talk, there will be discussions accompanied by tea, coffee and cake.
This event is part of STRUCTURES' Exploratory Project Math & Data. This EP provides a platform across the fields of the natural sciences and mathematics to discuss applications and foundations of topological data analysis (TDA) and beyond. TDA provides versatile tools to uncover potentially hidden topological structures in data. The goal of the TDA Colloquium is to bring together people from various backgrounds, with an emphasis on synergies with Machine Learning. Topics range from applications on real world problems to the abstract mathematical foundations of the subject.
Further Information & Links:
Click on the image to open the poster as PDF. We are happy to announce the next Scientific Machine Learning event from the series “Machine Learning Galore!”, taking place on June 27, 4:30 to 6:00 pm at INF 205 Mathematikon (5th floor). The event will include various lab presentations and science talks. In order to participate, please register for free at https://www.mlai.uni-heidelberg.de/en/machine-learning-talks-on-campus.
Scientific Machine Learning is a joint initiative from IWR and STRUCTURES to foster interactions within and development of the local machine learning community. Its portal, http://mlai.uni-heidelberg.de summarizes the many relevant events and news from across campus that would otherwise remain scattered across single institutions or fields. The goal of the initiative aligns with the STRUCTURES Cluster of Excellence's objective of driving research into the fundamental understanding of current and future machine learning, and with IWR’s aim to leverage machine learning to enable the solution of long-standing problems in the natural and life sciences, the engineering sciences, as well as the humanities.
Further information:
We are happy to announce a special group talk on “Effects of green technology support policies on carbon dioxide emission” on June 12, 4.15 pm. The talk will discuss the findings of a paper providing ex-post empirical evidence on the effects of green technology support policies, in comparison with other climate policies, on carbon dioxide emissions at the aggregate national level. The paper is available at the following link:
https://www.cesifo.org/node/80983
The seminar will be in gHS (Phil. 12) at 4.15 pm. The online version will be available using the link (https://ethz.zoom.us/j/64887632139).
Prof. Georgia Koppe (IWR & ZI Mannheim)We are happy to announce the talk “Dynamics and control of human cognition and behavior for mental health applications” by Georgia Koppe (IWR & ZI Mannheim) on June 5, 2024, 11:15 am.
Abstract: Understanding and predicting maladaptive human behavior and cognition, which are pertinent to many psychiatric disorders, requires understanding its underlying dynamics and dynamical mechanisms.
Modifying these behaviors requires control over these dynamics. My research group focuses on inferring the dynamics underlying human behavioral and neural time series, utilizing both process-driven and data-driven modeling approaches. Based on these methods, we develop mental health applications where dynamics are used to predict or control future system states or to study their underlying generative mechanisms.
Our applications include: 1) Smartphone apps that assess psychological ratings as proxies for mental health states, forecast changes over time, and use these forecasts to tailor mental health exercises presented on the smartphone. 2) Social exchange games where we create human-like agents that can engage in social interactions and foster positive social experiences. 3) Web-based cognitive experimental platforms in which we specifically tailor experimental paradigms to reliably and validly measure complex decision making behavior. And 4) we develop and apply models for the robust and reliable detection of dynamical systems features predictive of psychiatric dysfunction.
The talk will take place at SR11, INF 205 (Mathematikon) and online via Zoom. More information can be found at:
https://www.mlai.uni-heidelberg.de/de/node/351
STEPS: The STRUCTURES Training and Education Programme for SuccessThe STRUCTURES STEPS Mentoring Programme is set to kick off a new round of mentor-mentee pairing. Whether you are a first-time participant or have previously been involved, we eagerly anticipate your participation. The programme aims to foster valuable interactions and networking among individuals from diverse professional backgrounds, promoting an atmosphere of openness and mutual learning, while making it easier for participants to engage with others.
Simply apply by filling out the matching form with your preferences and send it via mail to office@structures.uni-heidelberg.de. Any questions? We are happy to help! Find more infos on the STEPS webpage or contact us directly!
The deadline for submission is June 7, 2024.
Further information:
- Application forms: Mentor form | Mentee form
- Handout with more information on the Mentoring Programme
- STRUCTURES Training and Education Programme for Success (STEPS): Flyer (PDF) | Webpage
STRUCTURES is delighted to have hosted Oleksii Krupchytskyi from Penn State University as part of its guest programme. During his stay in Heidelberg, Krupchytskyi gave a special talk on "Bifurcations in a Free-Boundary PDE Model of Cell Motion". In the joint seminar of the groups of U. Schwarz and A. Marciniak-Czochra (Comprehensive Project 3: From Molecules to Cells and Tissue), Krupchytskyi demonstrated how to analytically obtain the transition from a super- to a subcritical bifurcation to motile solutions. This transition is caused by nonlinear diffusion of contractile myosin motors, as recently suggested and obtained numerically by the Schwarz group. The visit and seminar highlighted significant advancements in the understanding of cellular motility and the synergy between analytical and numerical approaches in biological research.
Further information:
Have you ever been in a situation where you wanted to help - but didn’t know what to do or what to say? Join us for an interactive training session to become an active bystander! The training sessions are designed to equip you with the tools and knowledge needed to intervene effectively in situations where someone may be at risk of harm or harassment. During this interactive session, you will learn practical strategies for assessing situations, de-escalating conflicts, and providing support to those in need. Experienced facilitators will guide you through real-life scenarios and provide insights on how to overcome common barriers to intervention. By becoming an active bystander, you can play a crucial role in creating safer and more inclusive spaces within our community.
The active bystander training is a joint initiative of the Collaborative Research Centre ISOQUANT and the STRUCTURES Cluster of Excellence. We will be offering tailored training sessions, acknowledging different professional contexts or campus environments and fostering a safe space where everyone can speak out and share experiences without fear.
Date: Tuesday, 28 May 2024
Time:
Session 1 (for project leaders): 09:30 - 11:00
Session 2 (for young researchers): 11:30 - 13:00
Session 3 (for young researchers): 14:00 - 15:30
All sessions will be held in English.
Location: Golden Box, Physikalisches Institut, INF 226, 69120 Heidelberg
Participation is free of charge, however, prior registration is needed as places are limited. For registration, please send an email to sfb1225@thphys.uni-heidelberg.de, stating your full name, working group/institute and the session you would like to join.
We believe that by working together and empowering each other, we can make a significant difference in promoting safety and well-being for everyone in our community. If you have any questions or require further information, please don't hesitate to contact us.
