Tuesday the 6th of Februari the Delft Data Science Seminar takes place at the Faculty of Aerospace and Engineering at TU Delft.
The Computer Graphics and Visualization Group of TU Delft Data Science, in cooperation with prof. Helwig Hauser from the University of Bergen (Norway), organise this one-day workshop where evolutionary new opportunities in data science and technology are combined in visualisation and medicine in methods such as neuroimaging and machine learning.
We are glad that eight high-profile speakers have accepted our invitation to talk at this workshop. They will comment on a variety of topics, including visual data science vs. classical science, on computational vs. interactive approaches and on the role of the human in visual data science.
Join us on Tuesday the 6th of February from 10 AM till 5 PM for the Delft Data Science Seminar – Visual Data Science and its role in Computational Medicine.
Workshop program (links to slides):
09h30 welcome & registration
10h10 session 1: computational & visual solutions in biomedicine (chair: H. Hauser)
- Arvid Lundervold on Computational medicine and machine learning –
opportunities and challenges
- Boudewijn Lelieveldt on Visual analytics for spatially resolved -omics data:
from single cell to tissue and back
11h10 coffee break
11h30 session 2: neuroimaging and visual data science (chair: A. Vilanova)
- Wiro Niessen on Biomedical Imaging and Genetic (BIG) Data Analytics,
applications in dementia and oncology
- Jos Roerdink on Computational and visual analysis of brain data
13h30 session 3: data science with statistics & machine learning (chair: E. Eisemann)
- Peter Filzmoser on Robust elastic net (logistic) regression for high dimensional data
- Jan van Gemert on Active Decision Boundary Annotation with Deep Generative Models
14h30 coffee break
14h50 session 4: visual data science with visualization & visual analytics (chair: H. Hauser)
- Jean-Daniel Fekete on The role of visualization in the hypothetico-deductive method
- Jack van Wijk on Understanding models: a challenge for visual analytics
16h00 panel discussion
The panel focused on having different views on relevant aspects of visual data science. Visual data science vs. classical science (indicating the change of paradigm on how to identify hypothesis), on computational vs. interactive visual approaches (challenges and opportunities), on the role of the human in visual data science.
- Boudewijn Lelieveldt
- Arvid Lundervold
- Jean-Daniel Fekete
- Erik Tews (Univeristy of Twente) (https://people.utwente.nl/e.tews )