Helmholtz Summer School - From Data to Knowledge
from
Monday, September 16, 2024 (9:00 AM)
to
Friday, September 27, 2024 (5:00 PM)
Monday, September 16, 2024
9:15 AM
Opening event
-
Anna-Lisa Doering
(
HIDA
)
Sara Krause-Solberg
(
Helmholtz Imaging, DESY
)
Christian Debes
(
SPRYFOX GmbH
)
Stephanie Schworm
(
HIDA
)
Mirl Trösch
(
Geomar Helmholtz Research Center
)
Mathieu Seyfrid
Fredo Erxleben
(
Helmholtz-Zentrum Dresden-Rossendorf
)
Opening event
Anna-Lisa Doering
(
HIDA
)
Sara Krause-Solberg
(
Helmholtz Imaging, DESY
)
Christian Debes
(
SPRYFOX GmbH
)
Stephanie Schworm
(
HIDA
)
Mirl Trösch
(
Geomar Helmholtz Research Center
)
Mathieu Seyfrid
Fredo Erxleben
(
Helmholtz-Zentrum Dresden-Rossendorf
)
9:15 AM - 10:30 AM
Join our exciting Opening event! We will kick off with a **keynote** from Dr. Christian Debes from Spryfox titled **Explainable AI with real-life applications**: *Explainability is a critical aspect of many data science applications, referring to a machine learning model’s ability to clarify its workings and outputs. Explainable AI (XAI) is data scientist’s trusty sidekick, offering a collection of tools and techniques designed to demystify and enhance trust and acceptance of these models among data scientists, subject matter experts, and users alike. This presentation will introduce you to XAI, demonstrating its role in identifying (un-)conscious biases and establishing trust and explaining why it is an indispensable skill for anyone developing or working with AI. We’ll also explore real-world applications of XAI, including a pet insurance disease prediction model and a churn prediction model for HR.* **No registration needed, everyone is welcome in the auditorium of our Gathertown space!** The keynote will be followed by a **discussion round among the five platforms**, highlighting their useful offers to you. **Dr. Christian Debes** is co-founder and head of data analytics & AI at Spryfox GmbH as well as lecturer for data science at the Technical University of Darmstadt, Germany (since 2011). He has 15 years of industrial data science experience, prior to his time at Spryfox he worked in different industries where he built up and led large AI teams. His previous positions included head of people data science at Merck and director data science at AGT International. Dr. Debes received his PhD in 2010 from Technical University of Darmstadt, Germany in the field of machine learning. He is recipient of the 2013 IEEE Data Fusion Award and has more than 30 journal and conference papers in signal processing and machine learning. Dr. Debes is senior member of the IEEE and served as area editor for the IEEE Signal Processing Magazine and Elsevier’s Signal Processing.
10:30 AM
First steps with Python
First steps with Python
10:30 AM - 4:30 PM
Contributions
10:30 AM
First steps with Python (Part 1)
-
Fredo Erxleben
(
Helmholtz-Zentrum Dresden-Rossendorf
)
11:00 AM
Regularization in Image Reconstruction: From Model to Data Driven Methods
Regularization in Image Reconstruction: From Model to Data Driven Methods
11:00 AM - 3:30 PM
Contributions
11:45 AM
Lecture: Regularization in Image Reconstruction: From Model to Data Driven Methods
-
Martin Burger
(
Helmholtz Imaging, DESY
)
1:30 PM
Tutorial: Regularization in Image Reconstruction: From Model to Data Driven Methods (Part 1)
-
Lukas Weigand
(
Helmholtz Imaging, DESY
)
Samira Kabri
(
Helmholtz Imaging, DESY
)
Tim Roith
(
Helmholtz Imaging, DESY
)
Tuesday, September 17, 2024
9:00 AM
9:00 AM - 3:00 PM
Contributions
9:00 AM
Introduction to Git
-
Tobias Schlauch
(
DLR / HIFIS
)
Introduction to Machine Learning with scikit-learn
Introduction to Machine Learning with scikit-learn
9:00 AM - 4:30 PM
Contributions
9:00 AM
Introduction to Machine Learning with scikit-learn (Part 1)
-
Helene Hoffmann
Peter Steinbach
(
HZDR
)
9:30 AM
Regularization in Image Reconstruction: From Model to Data Driven Methods
Regularization in Image Reconstruction: From Model to Data Driven Methods
9:30 AM - 11:30 AM
Contributions
9:30 AM
Tutorial: Regularization in Image Reconstruction: From Model to Data Driven Methods (Part 2)
-
Lukas Weigand
(
Helmholtz Imaging, DESY
)
Samira Kabri
(
Helmholtz Imaging, DESY
)
Tim Roith
(
Helmholtz Imaging, DESY
)
10:00 AM
First steps with Python
First steps with Python
10:00 AM - 4:00 PM
Contributions
10:00 AM
First steps with Python (Part 2)
-
Fredo Erxleben
(
Helmholtz-Zentrum Dresden-Rossendorf
)
Wednesday, September 18, 2024
9:00 AM
9:00 AM - 3:00 PM
Contributions
9:00 AM
Introduction to GitLab
-
Tobias Schlauch
(
DLR / HIFIS
)
Introduction to Machine Learning with scikit-learn
Introduction to Machine Learning with scikit-learn
9:00 AM - 4:30 PM
Contributions
9:00 AM
Introduction to Machine Learning with scikit-learn (Part 2)
-
Helene Hoffmann
Peter Steinbach
(
HZDR
)
10:00 AM
First steps with Python
First steps with Python
10:00 AM - 2:00 PM
Contributions
10:00 AM
First steps with Python (Part 3)
-
Fredo Erxleben
(
Helmholtz-Zentrum Dresden-Rossendorf
)
1:30 PM
Effective Use of Large Language Models and Prompt Engineering
Effective Use of Large Language Models and Prompt Engineering
1:30 PM - 5:30 PM
Contributions
1:30 PM
Effective Use of Large Language Models and Prompt Engineering
-
Alexandre Strube
(
Helmholtz AI
)
Ilhem Isra Mekki
(
Helmholtz AI
)
Thursday, September 19, 2024
9:00 AM
Introduction to Scientific Metadata
Introduction to Scientific Metadata
9:00 AM - 1:00 PM
Contributions
9:00 AM
Fundamentals of Scientific Metadata: Why context matters - PART 1
-
Silke Gerlich
(
HMC
)
Theresa Schaller
(
HMC/ HZDR
)
Introduction to Machine Learning with scikit-learn
Introduction to Machine Learning with scikit-learn
9:00 AM - 4:30 PM
Contributions
9:00 AM
Introduction to Machine Learning with scikit-learn (Part 3)
-
Helene Hoffmann
Peter Steinbach
(
HZDR
)
1:15 PM
From Idea to I did: Playing Lean for Start- ups and Innovation
From Idea to I did: Playing Lean for Start- ups and Innovation
1:15 PM - 5:00 PM
Contributions
1:15 PM
Lecture: Introduction to Lean Methodology for Startups
-
Klaus Kammermeier
2:00 PM
Workshop - Playing Lean
-
Klaus Kammermeier
Friday, September 20, 2024
9:00 AM
Introduction to Scientific Metadata
Introduction to Scientific Metadata
9:00 AM - 1:00 PM
Contributions
9:00 AM
Fundamentals of Scientific Metadata: Why context matters - PART 2
-
Silke Gerlich
(
HMC
)
Theresa Schaller
(
HMC/ HZDR
)
From Idea to I did: Empowering Women Entrepreneurs
From Idea to I did: Empowering Women Entrepreneurs
9:00 AM - 12:30 PM
Contributions
9:00 AM
Keynote "From Idea to I did: Empowering Women Entrepreneurs"
-
Stephanie Birkner
(
Hochschule Bremerhaven
)
10:00 AM
Workshop - Empowering Women Entrepreneurs
-
Angela Kornau
(
Coach & Researcher
)
Barbara Bachus
(
ExoMatter
)
Introduction to Machine Learning with scikit-learn
Introduction to Machine Learning with scikit-learn
9:00 AM - 1:00 PM
Contributions
9:00 AM
Introduction to Machine Learning with scikit-learn (Part 4)
-
Helene Hoffmann
Peter Steinbach
(
HZDR
)
1:00 PM
HMC FAIR Friday
HMC FAIR Friday
1:00 PM - 2:00 PM
Contributions
1:00 PM
HMC FAIR Friday: The origin of data – The relevance of provenance in the context of FAIR
-
Mirl Trösch
(
Geomar Helmholtz Research Center
)
Saturday, September 21, 2024
Sunday, September 22, 2024
Monday, September 23, 2024
9:00 AM
Introduction to FAIR & Scientific Data Reuse
Introduction to FAIR & Scientific Data Reuse
9:00 AM - 1:30 PM
Contributions
9:00 AM
Lecture: Introduction to FAIR data
-
Mirl Trösch
(
Geomar Helmholtz Research Center
)
9:30 AM
Training Course: Reusability of Scientific Data
-
OEzlem OEzkan
(
HMC
)
Helene Hoffmann
(
Helmholtz AI
)
Till Korten
(
Helmholtz AI
)
Continuous Integration with GitLab
Continuous Integration with GitLab
9:00 AM - 3:00 PM
Contributions
9:00 AM
Continuous Integration in GitLab (Part 1)
-
Christian Hueser
(
Helmholtz-Zentrum Dresden - Rossendorf e.V. (HZDR)
)
9:30 AM
Time-dependent Generative Models
Time-dependent Generative Models
9:30 AM - 10:30 AM
Contributions
9:30 AM
Time-dependent Generative Models
-
Luca Eyling
(
Helmholtz Munich
)
11:00 AM
Fantastic Vision Language Models and how to compress them
Fantastic Vision Language Models and how to compress them
11:00 AM - 12:00 PM
Contributions
11:00 AM
Fantastic Vision Language Models and how to compress them
-
Yiran Huang
(
Helmholtz Munich
)
1:00 PM
Introduction to Statistical Learning
Introduction to Statistical Learning
1:00 PM - 5:00 PM
Contributions
1:00 PM
Introduction to Statistical Learning
-
Tingying Peng
(
Helmholtz Munich
)
Tuesday, September 24, 2024
9:00 AM
Continuous Integration with GitLab
Continuous Integration with GitLab
9:00 AM - 3:00 PM
Contributions
9:00 AM
Continuous Integration in GitLab (Part 2)
-
Christian Hueser
(
Helmholtz-Zentrum Dresden - Rossendorf e.V. (HZDR)
)
Explainable Artificial Intelligence
Explainable Artificial Intelligence
9:00 AM - 1:00 PM
Contributions
9:00 AM
Introduction to eXplainable Artificial Intelligence
-
Francesco Campi
(
HAICU
)
Ilhem Isra Mekki
(
Helmholtz AI
)
Lisa Barros de Andrade e Sousa
(
Helmholtz AI
)
Sabrina Benassou
2:00 PM
Introduction to Image Registration
Introduction to Image Registration
2:00 PM - 3:00 PM
Contributions
2:00 PM
Intro to image registration
-
Ella Bahry
(
Helmholtz Imaging, MDC
)
3:00 PM
Fairness in machine learning
Fairness in machine learning
3:00 PM - 4:00 PM
Contributions
3:00 PM
Fairness in machine learning
-
Niki Kilbertus
Wednesday, September 25, 2024
9:30 AM
Introduction to Uncertainty Quantification (UQ) in ML
Introduction to Uncertainty Quantification (UQ) in ML
9:30 AM - 12:30 PM
Contributions
9:30 AM
Introduction to Uncertainty Quantification (UQ) in ML
-
Helene Hoffmann
Peter Steinbach
(
HZDR
)
10:00 AM
Data processing with Pandas & Data plotting with Matplotlib
Data processing with Pandas & Data plotting with Matplotlib
10:00 AM - 4:00 PM
Contributions
10:00 AM
Introduction to Pandas
-
Fredo Erxleben
(
Helmholtz-Zentrum Dresden-Rossendorf
)
2:00 PM
Visualization of volumetric datasets
Visualization of volumetric datasets
2:00 PM - 3:00 PM
Contributions
2:00 PM
Visualization of volumetric datasets
-
Deborah Schmidt
(
Helmholtz Imaging, MDC
)
Thursday, September 26, 2024
10:00 AM
Data processing with Pandas & Data plotting with Matplotlib
Data processing with Pandas & Data plotting with Matplotlib
10:00 AM - 4:00 PM
Contributions
10:00 AM
Introduction to Matplotlib
-
Fredo Erxleben
(
Helmholtz-Zentrum Dresden-Rossendorf
)
Dimensionality Reduction
Dimensionality Reduction
10:00 AM - 12:00 PM
Contributions
10:00 AM
A practical guide to dimensionality reduction (Part 1)
-
Elisabeth Georgii
(
Helmholtz Zentrum München
)
Francesco Campi
(
HAICU
)
Ilhem Isra Mekki
(
Helmholtz AI
)
Lisa Barros de Andrade e Sousa
(
Helmholtz AI
)
Friday, September 27, 2024
10:00 AM
Data processing with Pandas & Data plotting with Matplotlib
Data processing with Pandas & Data plotting with Matplotlib
10:00 AM - 2:00 PM
Contributions
10:00 AM
Hands - on Exercises with Pandas
-
Fredo Erxleben
(
Helmholtz-Zentrum Dresden-Rossendorf
)
Dimensionality Reduction
Dimensionality Reduction
10:00 AM - 12:00 PM
Contributions
10:00 AM
A practical guide to dimensionality reduction (Part 2)
-
Elisabeth Georgii
(
Helmholtz Zentrum München
)
Francesco Campi
(
HAICU
)
Ilhem Isra Mekki
(
Helmholtz AI
)
Lisa Barros de Andrade e Sousa
(
Helmholtz AI
)