Time: 16.03.2018, 10:30
Location: Room 074 in the Fraunhofer IGD, Fraunhoferstrasse 5, S3|05
Speaker: Marc Streit
Johannes Kepler Universität (JKU) Linz
Title: "Leveraging Provenance for Storytelling, Reproducibility, and Recall"
Abstract:The primary goal of visual data exploration tools is to enable the discovery of new insights. To justify and reproduce insights, the discovery process needs to be documented and communicated. A common approach to documenting and presenting findings is to capture visualizations as images or videos. Images, however, are insufficient for telling the story of visual discovery, as they lack full provenance information and context. Videos are difficult to produce and edit, particularly due to the nonlinear nature of the exploration process.
Most importantly, however, neither approach provides the opportunity to return to any point in the exploration in order to review the state of the visualization in detail or to conduct additional analyses. In this talk, I will introduce our efforts to more tightly integrate biomedical data exploration with the presentation of discoveries. Based on provenance data captured during the exploration process, users can extract key steps, add annotations, and author 'Vistories', visual stories based on the history of the exploration. These Vistories can be shared for others to view, but also to retrace and extend the original analysis. I will demonstrate how such methods can increase the reproducibility of cancer research and drug discovery. The presented work is part of the Caleydo project (, which is a long-running collaboration between JKU Linz, Harvard University and the University of Utah.
Marc Streit is a tenured Associate Professor at Johannes Kepler University Linz in Austria where he leads the Visual Data Science group.
He finished his PhD at Graz University of Technology in early 2011 and moved to Linz later that year. In 2012 he was a visiting researcher at the Harvard Medical School. As part of a Fulbright scholarship for research and lecturing he was a visiting professor at the Harvard Paulson School in 2014. Marc also teaches courses at the Imperial College Business School and Salzburg University of Applied Sciences.
His scientific areas of interest include visualization, visual analytics, and biological data visualization, where he is particularly interested in the integrated analysis of large heterogeneous data.
Together with his team he develops novel visual analysis tools for cancer research, drug discovery, and other application domains. Parts of his research are embedded in the Caleydo open-source project (, where he is one of the project leaders and founding-members. He is a PI or Co-PI in multiple multiple research and industry projects and also a key researcher in the COMET K1-Centre Pro2Future. Since 2016 he is CEO and Co-Founder of the JKU spin-off company datavisyn.

Marc won Best Paper Awards at InfoVis'13, BioVis’12, InfoVis’11, GI’10 and Honorable Mention Awards at EuroVis'16, CHI'14, InfoVis'14 and EuroVis’12. He is a co-author of the Nature Methods Points of View column. In 2013 he co-edited the Special Issue on Visual Analytics in the IEEE Computer journal. Additionally, he actively contributes to the scientific community by serving on the organizing and program committee of several scientific events as well as by acting as a reviewer for high-quality journals and conferences. He was program chair of the IEEE Visualization in Data Science Symposium and papers and later general chair of BioVis, the Symposium on Biological Data Visualization.


News Archive


Technische Universität Darmstadt

Interactive Graphics Systems Group

Fraunhoferstr. 5
64283 Darmstadt

Tel. +49 6151 155 679

icon email office@gris.tu-

A A A | Print Print | Legal note Legal Notes | Contact Contact
to topto top