Incubator Summer Academy - From Zero to Hero
from
Monday 12 September 2022 (09:00)
to
Friday 23 September 2022 (23:59)
Monday 12 September 2022
09:00
09:00 - 10:00
Contributions
09:00
Opening Session and Keynote Speech
-
Andreas Kosmider
(
Helmholtz Association
)
Fabian Theis
(
Helmholtz AI
)
Otmar D. Wiestler
(
Helmholtz Association
)
10:00
10:00 - 18:00
Contributions
10:00
Fundamental: Introduction to Python
-
Fredo Erxleben
(
Helmholtz-Zentrum Dresden-Rossendorf
)
Tuesday 13 September 2022
09:00
09:00 - 15:00
Contributions
09:00
Fundamental: Introduction to Git
-
Benjamin Wolff
(
Deutsches Zentrum für Luft- und Raumfahrt
)
Tobias Schlauch
(
DLR
)
10:00
10:00 - 12:00
Contributions
10:00
Intermediate: Sharing Scientific Software Solutions Across Tools and Domains with Helmholtz Imaging Solutions
-
Deborah Schmidt
Helmholtz Imaging
13:00
13:00 - 18:00
Contributions
13:00
Fundamental: Reproducible Data Science / day 1
-
Heidi Seibold
Wednesday 14 September 2022
09:00
09:00 - 14:00
Contributions
09:00
Fundamental: Fundamentals of Scientific Metadata / day 1
-
Annika Strupp
Silke Gerlich
(
HMC
)
09:00 - 15:00
Contributions
09:00
Fundamental: Introduction to GitLab
-
Benjamin Wolff
(
Deutsches Zentrum für Luft- und Raumfahrt
)
Tobias Schlauch
(
DLR
)
09:00
Intermediate: Data Science with Python (Pandas)
-
Fredo Erxleben
(
Helmholtz-Zentrum Dresden-Rossendorf
)
Thomas Foerster
(
HZDR
)
14:00
14:00 - 17:00
Contributions
14:00
Fundamental: Reproducible Data Science / day 2
-
Heidi Seibold
17:00
17:00 - 18:00
Contributions
17:00
Data Challenge: Kick-off
19:00
19:00 - 22:00
Contributions
19:00
HIDA Networking Event (Cancelled)
-
Sophia Buehrig
Stephanie Schworm
Viktoria Schwarze
(
Helmholtz Information & Data Science Academy
)
Thursday 15 September 2022
09:00
09:00 - 14:00
Contributions
09:00
Fundamental: Fundamentals of Scientific Metadata / day 2
-
Annika Strupp
Silke Gerlich
(
HMC
)
09:00 - 14:00
Contributions
09:00
Intermediate: Visualization with Python (matplotlib)
-
Fredo Erxleben
(
Helmholtz-Zentrum Dresden-Rossendorf
)
Thomas Foerster
(
HZDR
)
09:00
Intermediate: Introduction to GitLab CI
-
Christian Hueser
(
Helmholtz-Zentrum Dresden-Rossendorf (HZDR)
)
Norman Ziegner
(
UFZ
)
Tobias Huste
(
Helmholtz-Zentrum Dresden-Rossendorf
)
14:00
14:00 - 18:00
Contributions
14:00
Intermediate: Introduction to Machine Learning / day 1
-
Peter Steinbach
(
HZDR
)
14:00 - 17:30
Contributions
14:00
Intermediate: Machine Learning-Based Biomedical Image Analysis
-
Carsten Lüth
(
Helmholtz Imaging
)
Helmholtz Imaging
Lukas Klein
(
Helmholtz Imaging
)
Paul Jäger
(
Helmholtz Imaging
)
16:45
Intermediate: Tutorial for "Machine Learning-Based Biomedical Image Analysis"
-
Carsten Lüth
(
Helmholtz Imaging
)
Helmholtz Imaging
Lukas Klein
(
Helmholtz Imaging
)
Paul Jäger
(
Helmholtz Imaging
)
Friday 16 September 2022
09:00
09:00 - 17:00
Contributions
09:00
Intermediate: Introduction to Machine Learning / day 2
-
Peter Steinbach
(
HZDR
)
10:00
10:00 - 12:00
Contributions
10:00
HIDA lecture: Data-Driven Inertial Sensing
-
Itzik Klein
(
The Hatter Department of Marine Technology, Charney School of Marine Sciences, University of Haifa, Israel
)
11:00
General: Helmholtz Imaging for you!
-
Helmholtz Imaging
Philipp Heuser
(
HIP/DESY
)
Saturday 17 September 2022
Sunday 18 September 2022
Monday 19 September 2022
09:00
09:00 - 17:00
Contributions
09:00
Intermediate: Introduction to Deep Learning / day 1
-
Peter Steinbach
(
HZDR
)
14:00
POSTPONED: Intermediate: Cooperation HMC + Helmholtz Imaging: Imaging Metadata
-
Timm Schoening
(
GEOMAR
)
Luigia Cristiano
(
HZB
)
Marco Nolden
(
DKFZ
)
Philipp Heuser
(
HIP/DESY
)
POSTPONED: Intermediate: Cooperation HMC + Helmholtz Imaging: Imaging Metadata
Timm Schoening
(
GEOMAR
)
Luigia Cristiano
(
HZB
)
Marco Nolden
(
DKFZ
)
Philipp Heuser
(
HIP/DESY
)
14:00 - 17:00
Metadata for scientific images is crucial for the success of any imaging experiment. What are metadata, where do you find them, how do you exploit them? The use of metadata in imaging highly depends on the domain. In some research areas metadata is already a well established standard while others scribble them in their notebook. Here we will give an introduction to metadata in imaging, using some use cases as examples, and show you some hands on examples how to deal with them in python. Agenda: - What is metadata? - Imaging Modalities in the case studies - Case Study - Photon and Neutron Science Imaging - Case Study - Oceanic Imaging - Case Study - Medical Imaging - Hands-on: Jupyter notebook for image metadata Basic Python knowledge will help you to follow the hands-on (but it is not mandatory). If you want to learn more about metadata, we invite you to take a look at HMCs training material collection: https://helmholtz-metadaten.de/en/hmc-office/training-material-collection → **[Register here](https://events.hifis.net/event/398/registrations/446/)** ←
Tuesday 20 September 2022
09:00
09:00 - 17:00
Contributions
09:00
Intermediate: Introduction to Deep Learning / day 2
-
Peter Steinbach
(
HZDR
)
15:00
15:00 - 17:00
Contributions
15:00
Helmholtz Entrepreneurs: From Idea to I did
-
Emma van Holthe
(
Helmholtz AI
)
Julian Alexandrakis
(
Helmholtz Transfer
)
Mathieu Seyfrid
(
Helmholtz AI
)
Wednesday 21 September 2022
09:00
09:00 - 10:00
Contributions
09:00
HIDA lecture: What is Health? Taking a Non Dualist Multi-Scale Approach to Studying Adaptive Immune Interactions
-
Uri Hershberg
(
Chair of the Center for Biophysics and Quantitative Biology, University of Haifa, Israel
)
09:00 - 15:00
Contributions
09:00
Intermediate: Foundations of Research Software Publication
-
Benjamin Wolff
(
Deutsches Zentrum für Luft- und Raumfahrt
)
Tobias Schlauch
(
DLR
)
13:00
13:00 - 15:00
Contributions
13:00
Advanced: Machine Learning for Instance Segmentation and Tracking
-
Dagmar Kainmüller
(
MDC Berlin
)
Helmholtz Imaging
14:00
14:00 - 17:30
Contributions
14:00
Intermediate: Introduction to Statistical Learning / day 1
-
Tingying Peng
Thursday 22 September 2022
09:00
09:00 - 18:00
Contributions
09:00
Intermediate: Introduction to Statistical Learning Day 2
-
Tingying Peng
14:00
Advanced: Introduction to Interpretable Machine Learning
-
Christina Bukas
(
Helmholtz AI
)
Donatella Cea
(
Helmholtz AI
)
Elisabeth Georgii
(
Helmholtz AI
)
Erinc Merdivan
(
Helmholtz AI
)
Harshavardhan Subramanian
(
Helmholtz AI
)
Helena Pelin
(
Helmholtz AI
)
Helene Hoffmann
(
Helmholtz AI
)
Isra Mekki
(
Helmholtz AI
)
Lisa Barros de Andrade e Sousa
(
Helmholtz AI
)
Mahyar Valizadeh
(
Helmholtz AI
)
Marie Piraud
(
H.AI/ HMGU
)
Rao Muhammad Umer
(
Helmholtz Munich
)
Sebastian Starke
(
Helmholtz AI
)
09:00 - 14:00
Contributions
09:30
Optional: Solve installation issues (related to the Napari Workshop)
-
Helmholtz Imaging
Robert Haase
(
TU Dresden
)
10:00
Intermediate: Introduction to Napari
-
Helmholtz Imaging
Robert Haase
(
TU Dresden
)
16:00
16:00 - 18:00
Contributions
16:00
General: Helmholtz Career Corner
-
Sophia Buehrig
Stephanie Schworm
Viktoria Schwarze
(
Helmholtz Information & Data Science Academy
)
Friday 23 September 2022
10:00
General
General
10:00 - 11:00
Contributions
10:00
HMC FAIR Friday: Metadata as a key? Open science, good scientific practice and research integrity
-
Roland Bertelmann
(
Helmholtz Open Science Office
)
11:00
11:00 - 12:00
Contributions
11:00
Data Challenge: Closing & Award Ceremony