Past Events

CSH Winter School 2025

CSH Winter School 2025: Practical Introduction to Homomorphic Cryptography

Homomorphic cryptography is a form of encryption that allows computations to be performed directly on encrypted data without decrypting it, producing encrypted results that can later be decrypted to reveal the correct outcome. This property is particularly valuable when sensitive data must remain private, such as secure data processing in cloud computing, privacy-preserving machine learning, or secure voting systems. For example, healthcare providers can analyze encrypted patient data for research purposes without accessing the original sensitive information, ensuring both privacy and utility.

Join us in the CSH Winter School 2025!

Event Details:

  • Theme: Homomorphic cryptography
  • Date: February 24 - 28, 2025
  • Registration: until February 17, 2025
  • Keynote Speaker: Prof. Christian Krupitzer

Note, this course includes an asynchronous learning phase before the Winter School from January 15 to  February 21, 2025.

Contact Information: For further details or inquiries, please contact Christian Krupitzer (christian.krupitzer@uni-hohenheim.de).

CSH Young Researchers' Symposium – 06/02/2025

  • Call for Contribution: CSH Young Researchers' Symposium on "Modeling Complex Systems"

    We are thrilled to invite you and other young researchers to the CSH Young Researchers Symposium on "Modeling Complex Systems," featuring a keynote lecture by Prof. Dr. Patrick Jochem from the DLR.  Please forward the message to interested colleagues.  This symposium serves as a platform to showcase the critical role of modeling in understanding and managing the increasingly complex systems that define our world.


    Event Details:

    • Theme: Modeling Complex Systems
    • Date: February 6, 2025
    • Time: 14:00 to 18:00
    • Venue: Aula, Hohenheim Castle

     
    Keynote Speaker:

    • Prof. Dr. Patrick Jochem, researcher at the German Aerospace Center (DLR), will share insights into AMIRIS - An Agent-Based Energy Market Model, illustrating its impact on shaping sustainable energy policies and systems.

    Dowload the program agenda here


    Importance of Modeling Complex Systems:     In today's interconnected world, complex systems are at the heart of environmental, social, and technological challenges. Modeling these systems provides crucial insights into their behavior, enabling policymakers, scientists, and businesses to make informed decisions that are critical for sustainability and resilience. From climate change to economic forecasting, the ability to accurately model complex interactions is fundamental to solving the global challenges we face.

    Call for Contributions: We encourage young researchers to contribute their work related to various aspects of complex systems, including but not limited to environmental systems, financial models, network theory, and computational biology.

    Presentation Formats:

    • Short Presentation: 10 min (short) followed by 5min Q&A.
    • Long Presentation: 25 min (long) followed by 5min  Q&A.


    Submission Guidelines:

    • Please write us an email summarizing your research focus, methods, and implications for complex systems modeling.
    • Please include your name, academic institution or affiliation, and contact information.

    Important Dates:

    • Abstract Submission Deadline: December 18, 2024
    • Notification of Acceptance: January 7, 2025
    • Full Presentation Due: January 20, 2025

    Participation Information: The symposium is particularly designed for young researchers, providing a vibrant forum for presenting research findings, networking with peers, and gaining insights from leading experts in the field.

    How to Submit: Email your abstracts to csh@uni-hohenheim.de with the subject "Submission for CSH Young Researchers Symposium".

    Contact Information: For further details or inquiries, please contact Johannes Bleher (csh@uni-hohenheim.de).

    Join us for a dynamic afternoon dedicated to exploring and understanding the essential tools and concepts for modeling complex systems.

Call for Contribution Symposium 16.01.2025 14:00 Uhr

  • CSH Symposium on Pattern Recognition

    “Leaving LLMs aside for a moment: Approaches for Pattern Recognition in the Life & Social Sciences”

    Date: January 16, 2025  
    Time: 14:00–18:00  
    Location: Blauer Saal, Schloss Hohenheim  

    This symposium invites us to step back from the dominant conversations around large language models (LLMs) and focus on foundational pattern recognition methods that continue to shape research across disciplines.

    • Download the full symposium program


    The event will feature:

    • Keynote Address by Dr. Matthias Karlbauer, Wilhelm Schickard Institute for Computer Science, University of Tübingen.  
    • Opportunities to present your work in a 15-minute presentation or to join as part of the audience.  


    Whether your research involves agrifood systems, biology, economics, sociology, or other fields, this is a chance to explore versatile techniques like cluster analysis, sequence analysis, and classic machine learning methods, among others. These tools have proven their adaptability and relevance, whether you're analyzing crop traits, uncovering genetic patterns, or segmenting customers.  

    Registration Deadline: December 23, 2024  
    Register here: https://forms.gle/bC5VVtCqHsg5nKGj9

    For questions, feel free to contact me at j.vogelgesang@uni-hohenheim.de or csh@uni-hohenheim.de. 

    Let’s connect, share, and learn together. I hope to see many of you there! 

CANCELLED: CSH-Seminar 21.11.2024 16:15 Uhr

  • Dr. Korinna Allhoff (CSH-Seminar)
    Like a boomerang - predicting ecological and eco-evolutionary stability based on self-reinforcing versus self-dampening feedback

Mitgliedsrat 19.12.2024 16:15 Uhr

  • Mitgliedsrat mit Vorstandswahlen

Erfahrungsbericht zum Chatbot-Projekt "BusyBee" an der Universität Hohenheim

Das Projekt "BusyBee" der Universität Hohenheim hatte zum Ziel, Chatbots für Studieninteressierte der Studiengänge Economics (M.Sc.) und Wirtschaftsinformatik (B.Sc.) für die Bewerbungsphase 2024 (April bis Mitte Juli 2024) zu entwickeln. Das Hauptziel war, den Informationsbedarf der Studieninteressierten schnell und jederzeit verfügbar mit einem zusätzlichen Medium zu decken, insbesondere außerhalb der regulären Arbeitszeiten der Studienberatung.

Gesamter Bericht zum Download

Symposium 07.11.2024 14:00 Uhr

  • Symposium on Generative AI in Research: Exploring New Frontiers – you can find the program here

CSH-Seminar 18.04.24 (16:15 Uhr)

Guest lecture by Dr. Thomas Klotz (University of Stuttgart) with the topic: Life is motion: Simulation-enhanced investigations of the neuromuscular system
Location: Hybrid (Zoom and Multimedia Room, Alte Botanik)

CSH Seminar 18.01.24.

Presentation by Dr. Luis Huergo from Bosch Center for Artificial Intelligence,

with the topic: "Foundation models @Bosch"

CSH General Meeting and Christmas Celebration on 14.12.23.

Meeting for all members with a small christmas celebration afterwards

Hybrid Meeting: Zoom and Multimedia Room, Alte Botanik, Kirchnerstraße 5, 2OG.

CSH PhD and Post-Doc Forum 23.11.23

The main points of this meeting were to get to know the other PhD students that are CSH members,

as well as discussing the future and direction this event format is supposed to take. 

CSH-Seminar 16.11.23 (4:15 pm)

Prof. Dr. Alexander Schaum
Department for Process Analytics
Institute for Food Science and Biotechnology (University of Hohenheim)

will present an overview of his research under the presentation title:

Model Based Analysis of Biotechnological Processes

Prof. Schaum joint the University of Hohenheim just recently. He is interested in collaboration within the CSH and seeks to become a CSH member.

Hybrid Meeting: Zoom and Multimedia Room, Alte Botanik, Kirchnerstraße 5, 2OG.

CSH/AIDAHO Lecture 02.11.23 (4:00 pm)

In this AIDAHO Lecture, Jan-Keno Janssen will speak on the topic "AI Tools: Hype vs. Reality" and present current AI tools such as ChatGPT, Bard and Stable Diffusion.

Jan-Keno Janssen will focus on what these tools are already capable of - and more importantly, what not yet.

Jan-Keno Janssen works as a senior editor for c't magazine and for heise online. Since 2021, he has been primarily responsible for the YouTube channel c't 3003, whose weekly videos regularly generate six-figure views.

In addition to AI, his areas of expertise include virtual and augmented reality. The full-blooded nerd has been building his own computers since childhood. After his traineeship at the newspaper Anzeiger für Harlingerland, he completed a degree in media science and english studies at the Ruhr University in Bochum in 2007. Since then, he has been working at c't magazine.

The lecture will be hosted by the University's Computational Science Hub (CSH). will speak on the topic "AI Tools: Hype vs. Reality" and present current AI tools such as ChatGPT, Bard and Stable Diffusion.

Jan-Keno Janssen will focus on what these tools are already capable of - and more importantly, what not yet.

Jan-Keno Janssen works as a senior editor for c't magazine and for heise online. Since 2021, he has been primarily responsible for the YouTube channel c't 3003, whose weekly videos regularly generate six-figure views.

In addition to AI, his areas of expertise include virtual and augmented reality. The full-blooded nerd has been building his own computers since childhood. After his traineeship at the newspaper Anzeiger für Harlingerland, he completed a degree in media science and english studies at the Ruhr University in Bochum in 2007. Since then, he has been working at c't magazine.

The lecture will be hosted by the University's Computational Science Hub (CSH).

CSH-Seminar 26.10.23 (4:15pm)

The AIDAHO team will present the web applications used in the AIDAHO program and how they can be incorporated into teaching computational methods by all CSH-members. The team is hosting a AIDAHO Gitlab Server, an automatic grading platform and recently serving a Jupyterhub-Server on a Kubernetes Cluster. The will also give an outlook on other tools and WebApplications they  plan to implement.

Hybrid Meeting: Zoom and Multimedia Room, Alte Botanik, Kirchnerstraße 5, 2OG.

CSH-Forum 06.07.23: "To retire or not to retire: p-values and their alternatives in statistics"

P-values form the bedrock of statistical hypothesis testing and have been central to scientific research for several decades. Nevertheless, the interpretation and potential misuse of p-values have ignited robust and occasionally heated discussions among statisticians, researchers, and scholars across diverse fields. This phenomenon is often referred to as the "p-value crisis".

The CSH-Forum serves as a platform to foster multifaceted discussions, enable the exchange of insights from diverse application fields, and encourage respectful exploration of differing viewpoints. We will kickstart our dialogue with a presentation by Hans-Peter Piepho, followed by statements from Philipp Kügler and Aderonke Osikominu. To further enrich the discussion, Marius Puke will introduce the novel concept of E-values.

The session will conclude with a dynamic Q&A segment, providing ample space for questions and discussions. The goal is not to 'win' an argument, but rather to enrich our collective understanding of p-values and their pivotal role in scientific research. We look forward to an enlightening and engaging exchange of ideas

Guest lecture by Dr. Alfred Taudes 22.06.2023: "Cryptoeconomics"

 Guest lecture by Prof. Dr. Alfred Taudes (WU Wien) HS4 with the topic: "Cryptoeconomics"

CSH-Seminar 15.06.23

Presentation from Dr. Adrian Lüders, leader of the junior group "Wandel". 

Topic of the presentation: "The Social Nature of Attitudes: Using Response-Item Networks (ResIN) to Explore Complex Attitude-Identity Systems"

CSH-Spring School 31.05.23-02.06.23

From 31.05 to 02.06 the Spring School organized by the CSH took place. The Spring School is a workshop aimed at young scientists who want to work empirically with network data.

The workshop was led by Prof. Dr. Thomas Hills from the University of Warwick, who provided the participants with methods and tools to apply network science and structural thinking to their own research.

The goals of the workshop could be divided into four main parts.

  1. Data conversion: How do you convert raw data into networks? This forms the foundation of network science and allows researchers to visualize and analyze data in a new light.

  2. Measuring network properties: How do you quantify the properties of networks to gain insight into their structure and dynamics.

  3. Data interpretation: What do these properties tell us about the data?

  4. Formulating questions: How does one formulate research questions from a network perspective?

The format of the workshop was interactive and consisted of questions to participants as well as walking through R code.

The workshop provided a comprehensive overview of different methods for visualizing network data and how networks can be used for advanced topics such as statistics and simulation. In addition, some historical contexts of network science in the social and natural sciences were integrated to ground the material in broader scientific discourse.

To stimulate critical thinking, fundamental problems and illusions related to network science were presented. These thought experiments served to sharpen the analytical skills of the participants.

The workshop was not purely theoretical, but also provided ample time to explore the application of network science to specific research questions posed by participants. In part, personalized guidance was provided to help participants apply the workshop content to their own work. This approach is tremendously valuable as it directly shows participants the impact of network analysis on their own data.

Summary:

The Network Analysis workshop at the 2023 CSH Spring School provided early-career researchers and master's students with a comprehensive introduction to network science. Under the expert guidance of Prof. Thomas Hills, participants developed a greater understanding of how network analysis could enhance their research, moving beyond theory to practical applications.

CSH-Seminar 25.05.2023

Presentation by Prof. Dr. Mareike Schoop on the topic: Intelligent Information Systems

CSH-Seminar 20.04.2023

Discussion on the topic of ChatGPT. How does the CSH want to position itself in this regard? Which platforms should be made available for AI technologies?

CSH-Seminar, 19. Mai 2022

  • Dr. Pascal Jürgens (Johannes Gutenberg University Mainz): Age and Gender Representation on German TV: A Longitudinal Computational Analysis

CSH-Seminar, 20. Januar 2022

  • Dr. Stefan Rudolph (EFS Elektronische Fahrwerksysteme GmbH): Towards Causality-driven Reinforcement Learning for Autonomous Driving

CSH-Seminar, 18. November 2021

  • Prof. Dr. Henner Gimpel and Manfred Schoch (FG Digital Management (570G): Digital Management: Possible Links to Computational Science.

Slides

CSH-Seminar, 17. June 2021

  • Prof. Dr. Aderonke Osikominu (Fg. Ökonometrie und Empirische Wirtschaftsforschung (520B)): Causal Inference from Observational Data

CSH-Seminar, 20. Mai 2021

  • Prof. Dr. Herbert Meyr (Fg. für Supply Chain Management (580C)): Supply Chain Planning: Challenges for Teaching and Research

CSH-Seminar, 21. January 2021

  • Jun.-Prof. Dr. Franziska Schünemann (Fg. Bioökonomie 520M), Interdisciplinary modelling of the Bioeconomy
  • Prof. Dr. Robert Jung (Fg. Ökonometrie & Wirtschaftsstatistik (520K)), Econometric Analysis of Spatial Count Data

CSH-Seminar, 17. December 2021

  • Jun.-Prof. Dr. Christian Krupitzer (Fg. Foodinformatics (150l)): Self-adaptive, Intelligent Software Systems: Case Studies in Food Informatics, Smart Health, and Intelligent Transportation

3. CSH-Symposium: "Hot topics in Machine Learning", 15. October 2020

  • Prof. Dr. Anthony Stein (Universität Hohenheim): Welcome Note and Introduction of the new CSH Machine Learning Reading Club
  • Andreas Margraf (Fraunhofer IGCV, Augsburg): Machine Learning for Industrial Monitoring Applications: How AI supports automation and quality assessment
  • Dr. Matthias Müller (Universität Hohenheim): More Than Meets The Eyes: Machine Learning in and for Agent-Based Modeling
  • Dr. Vincent Dekker (Daimler AG): Data Analytics and AI in Business

CSH-Seminar, 16. July 2020

Guest lecture by Prof. Dr. Markus Lehmkuhl and Nikolai Promies (Karlsruhe Institute of Technology, KIT) on the topic of data-driven analyses of science journalistic selectivity.

CSH-Seminar, 18. June 2020

  • Professor Dr. Philipp Kügler (Institute for Applied Mathematics and Statistics (110)): COVID-19 simulation for Baden-Württemberg
  • Dr. Michael Altenbuchinger (Head of the Junior Research Group Computational Biology (190M))

2. CSH-Symposium: "Hot topics in econometrics", 22. January 2020

  • Prof. Dr. Tilmann Gneiting (Heidelberg Institute for Theoretical Studies and KIT): Isotonic Distributional Regression (IDR) - Leveraging Monotonicity, Uniquely So!

  • Prof. Dr. Matthias Fengler (Unversität St. Gallen): Media-Expressed Tone, Option Characteristics, and Stock Return Predictability

  • Laura Reh und Prof. Dr. Roman Liesenfeld (Universität zu Köln): Dynamic Modeling of the Global Minimum Variance Portfolio Weights

  • Dr. Karsten Schweikert (Universität Hohenheim): Oracle Efficient Estimation of Structural Breaks in Cointegrating Regressions

  • Dr. Timo Dimitriadis (Universität Hohenheim und Heidelberg Institute for Theoretical Studies) Testing Forecast Rationality for Measures of Central Tendency

 

CSH-Seminar, 16. January 2020

Guest lecture by Prof. Dr. Andreas Zell (University of Tübingen) on Artificial Intelligence and Machine Learning for robotic applications.

CSH-Seminar, 19. December 2019

  • Prof. Dr. Monika Gehde-Trapp (Fg. Betriebswirtschaftslehre, insbesondere Risikomanagement (510D)): Networkanalyses in Finance
  • Prof. Dr. Andreas Pyka (Fg. Volkswirtschaftslehre, insbesondere Innovationsökonomik (520I)): Das Märchen vom technologischen Spillover

Indo-German Conference on Computational Mathematics: Challenges and Opportunities towards Exascale Computing am Indian Institute of Science, Bangalore, Indien, 02. bis 04. December 2019

In cooperation with the Computational Science Hub of the University of Hohenheim (Philipp Kügler and Nagaiah Chamakuri), the Indian Institute of Science, Bangalore, India organized the Indo-German Conference on Computational Mathematics: Challenges and Opportunities towards Exascale Computing, which took place at the Indian Institute of Science, Bangalore, India from December 02 to 04, 2019.

The participation of the CSH in the organization of this conference is part of a long-term cooperation with the Indian Institute of Science, Bangalore, India} which also includes a continuation of this conference at a later date in Hohenheim at the CSH and thus contributes to the international visibility of the CSH in the field of Computational Science.

CSH-Symposium: Hot Topics in Computational Sciences: Specification Curve Analysis

  • Dr. Tobias Dienlin (Universität Hohenheim): Introduction to Specification Curve Analysis
  • Prof. Dr. Michael Scharkow (Johannes Gutenberg Universität Mainz): Getting more information out of the specification curve
  • Prof. Dr. Robert Jung (Universität Hohenheim): Some Reflections on Specification Curve Analysis

CSH-Seminar, 21. November 2019

  • Dr. Nagaiah Chamakuri (Institut für Angewandte Mathematik und Statistik (110)): Computational modeling of cardiac electrophysiology: The heart of the matter

CSH-Seminar, 17. October 2019

  • Dr. Thomas Schwitalla (Fg. Physik und Meteorologie (120A)): Introduction to the CSH data storage server

CSH-Seminar, 27. June 2019

  • Prof. Dr.  Waltraud Schulze (Fg. Systembiologie der Pflanze (190D))

CSH-Seminar, 04. April 2019

Guest lecture by Prof. Dr. Leonhard Held (Universität Zürich) on Statistical Aspects of Reproducibility.

CSH-Seminar, 17. January 2019

  • Prof. Dr. Thomas Berger (Fg. Ökonomik der Landnutzung in den Tropen und Subtropen (490D))
  • Prof. Dr. Philip Kügler (Institut für Angewandte Mathematik und Statistik (110)))