Bio+Med+Vis

Summer School Program

Here you can find information about the tutorials and program you can look forward to during the summer school. Precise schedule will be posted soon. Please note, that the tutorials will be hands-on and we strongly recommend you to bring your own notebook, as technical equipment will not be provided.


Tutorial on Spatial Data Visualization with Inviwo
Time: 2 hours, precise time TBA
Martin Falk

Abstract: Inviwo is a rapid prototyping framework for visualizing spatial and abstract data. In this tutorial, we show how Inviwo can be utilized for easily creating visualizations in the biomedical domain. We provide an overview of the concepts used in Inviwo like its visual network editor and the associated data flow paradigm. Several hands-on examples illustrate how to import data and build your own visualization networks. The tutorial is tailored to beginners – no prior experience with the framework is necessary. Inviwo is available at https://inviwo.org and Github.

Martin Falk is an Associate Professor in the Scientific Visualization Group at Linköping University. He received his Ph.D. degree (Dr.rer.nat.) from the University of Stuttgart in 2013. His research focuses on the development and utilization of visualization techniques, like volume rendering, topological analysis, and GPU-based methods in general, tailored to specific applications in various application domains including cryo-EM, material science, plasma physics as well as the medical domain. He is also a core developer of the visualization framework Inviwo.

DataVis 10½: A practical brief intro to data visualization
Time: 3.5 hours, precise time TBA
Laura Garrison, Amy Zhang, Pere-Pau Vázquez

Abstract: Data visualization is a proven means to engage with, explore, and contextualize large volumes of information critical to decision making. However, many questions must be answered to create a visualization, such as: What color should I use for this variable? or should I use a bar- or line-chart to find something? Poor decisions may produce visualizations that mislead, hide, or overstate important features of the data, while good decisions result in clear, more honest depictions of the data. In this hands-on tutorial, we will introduce the basics of visualization design using the Python Vega-Altair library.

Laura Garrison is an associate professor (tenure-track) of visualization in the Department of Informatics at the University of Bergen, and a trained medical illustrator. With her team, she studies processes and assumptions designers make when crafting visualizations, and their impact on audience engagement and behavior, with a special interest in the health and life science domains.
Amy Zhang is a scientifically-minded illustrator, designer, and visualization researcher. She contributes to projects that foster an appreciation and understanding of science within the VisGroup at the University of Bergen and VISABLI research network at the University of Toronto. Specifically, she is interested in the sociotechnical contexts of visualization as well as investigating visual representations as tools for learning and reasoning.
Pere-Pau Vázquez is an associate professor at Universitat Politècnica de Catalunya. He holds a PhD in software (computer graphics) and is currently affiliated to the ViRVIG (visualization, virtual reality and graphical interaction) group and the CREB center (center for research in biomedical engineering). His current interests are scientific visualization, information visualization, virtual reality, and applications of deep learning to visualization.

Collaboration & Networking
Time: ~1 hour, precise time TBA
Organizers

One of the best things about summer schools is meeting new people. We hope that this one will not be an exception. The school is open to attendees with diverse expertise/interest areas spanning biology, medicine, and visualization. This means there is a unique opportunity to learn from one another, look at the research activities from different perspectives, and maybe even build future collaborations. In this session, you will get a chance to discuss with fellow summer school attendees and find out how research is done in their research group, what problems do they encounter, and how are they approaching them.
Note: Since the nature of this session strongly depends on the expertise/interest areas of the attendees, it is subject to change. We will tailor the contents of the session and activities to the profile of registered attendees.

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