Collaborative Research Center

SFB-TRR 161

Quantitative Methods for Visual Computing

We are living in a data society in which data is generated at amazing speed; individuals, companies, organizations, and governments are on the brink of being drawn into a massive deluge of data. The great challenge is to extract the relevant information from vast amounts of data and communicate it effectively.

Typical scenarios include decision and policy making for urban and environmental planning or understanding relationships and dependencies in complex networks, e.g., social networks or networks from the field of bioinformatics. These scenarios are not only of interest to specialized experts; in fact, there is a trend toward including the broad public, which requires the information to be presented in a reliable, faithful, and easy-to-understand fashion.

Visual computing can play a key role in extracting and presenting the relevant information.

In visual computing research the aspect of quantification is often neglected. The SFB-TRR 161 seeks to close this gap.

The long-term goal is to strengthen the research field by establishing the paradigm of quantitative science in visual computing.

About the SFB-TRR 161

News

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SFB-TRR 161 Events

Upcoming Events

May 6th, 2024, 4 pm

University of Stuttgart, Visualization Research Center

Talk | The Value of Overviews

Held by:

Robert S. Laramee, University of Nottingham

Abstract:
I was reviewing a draft of a research paper written by a PhD candidate and I provided the following feedback, "This paper would benefit greatly from an overview," referring to the method section. His reply was, "I don't see the value of that." I was shocked by this response. "How could he not see the value of an overview?" I thought to myself. The PhD candidate's rebellious response ignited a train of thought that continues to this day. In this talk we will discuss the value of overviews offering the perspective that overviews are in fact a Holy Grail for visualization. We attempt to reason on this subject and gather evidence based on both observation and experience. We hope that the result inspires further discussion, new perspectives, and implications for visualization for the audience.

Bio:
Robert S. Laramee received a bachelors degree in physics, cum laude, from the University of Massachusetts, Amherst (ZooMass). He received a masters degree in computer science from the University of New Hampshire, Durham. He was awarded a PhD from the Vienna University of Technology (Gruess Gott), Austria at the Institute of Computer Graphics and Algorithms in 2005. From 2001 to 2006 he was a researcher at the VRVis Research Center and a software engineer at AVL in the department of Advanced Simulation Technologies. He was a Lecturer, then Associate Professor at Swansea University (Prifysgol Cymru Abertawe), Wales in the Department of Computer Science (Adran Gwyddor Cyfrifiadur). Currently he is a Professor at the University of Nottingham, UK in the School of Computer Science. His research interests are in the areas of scientific visualization, information visualization, and visual analytics. He has published around 200 peer-reviewed papers in scientific journals and conferences.

Location:
University of Stuttgart, Room 00.012

The talk will be available via Webex.
Webex Link:  https://unistuttgart.webex.com/unistuttgart/j.php?MTID=m43ffa7622293dd101b162187c0bb3224
Meeting-ID (Zugriffscode): 2790 520 8544
Meeting Password: ERtJYgKC624

Jun 3rd - 4th, 2024, full days

Tagungszentrum Blaubeuren

Internal Status Seminar of the SFB-TRR 161

Jun 8th, 2024, 1 pm to 7 pm

Visualization Research Center, University of Stuttgart

Participation in 'Tag der Wissenschaft' - 'Science Day'

The University of Stuttgart's Science Day takes place on June 8, 2024. At the Visualization Research Center (Allmandring 19, 70569 Stuttgart), the SFB-TRR 161 will give insights into the world of visualization research. Visitors are invited to discover how visualizations can help to extract the relevant information from data and how they make visible what would otherwise remain hidden.

more

Jul 4th, 2024, full day

LMU Munich

3rd Workshop on Women* in Computing: Let’s talk about money – What are you worth, what job pays off, and how can you fund your dreams?

Jul 22nd-24th, 2024, full day

University of Konstanz

PROGRAMMIERKURS für Schülerinnen ab Klasse 9 | Computergrafik mit Processing

Past Events