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

All SFB-TRR 161 News

SFB-TRR 161 Events

Jul 25th, 2024, 10 am

University of Stuttgart and online

Talk | Trustworthy health data visualization

Held by:

Liang Zhou, National Institute of Health Data Science, Peking University

Abstract:

Healthcare involves the analysis a wide range of data in various types, presenting both challenges and opportunities. In this talk, I will provide an overview of our research at Peking University on health data visualization for desktops and VR/AR devices. Our work focuses on designing trustworthy visualizations for medical problems in close collaboration with medical experts, following the design study methodology. Specifically, we device new visualization techniques for multivariate medical images and ensembles of medical images, visual analysis methods for multi-outcome causal graphs, comparative analysis of traditional Chinese medicine (TCM) health records, situated analysis for TCM herb formulas, and immersive visualizations for studying the anatomy of inner ears.

Bio:

Liang Zhou is an assistant professor at the National Institute of Health Data Science, Peking University. Prior to this, he was a postdoc researcher at VISUS, University of Stuttgart, and the SCI institute, University of Utah. He received his PhD degree in computing from the University of Utah. His research interests include scientific and information visualization, mixed reality for medicine, and visual analytics for health science. 

Location:

Visualization Research Center (VISUS), University of Stuttgart, Room 00.012

The talk will be available online via Webex.

Meeting-ID (Zugriffscode): 2730 178 3355
Meeting Password: PWwxM9xU65X

In case of questions or problems regarding the transmission/your online participation please contact Maurice Koch (phone +49 711 685 88617).

Nov 5th, 2024, 9 am - 12 pm

Online

WS | Inclusive Leadership Training (for PLs, postdoctoral and doctoral researchers)

Held by:

Dr. Susanne Hamscha, factor-D Diversity Consulting GmbH

Abstract:

Leading a diverse research team successfully can be a challenge at first. Inclusive leaders express appreciation and trust to grow, in order to strengthen collaboration and to use the diversity (of perspectives) in their teams effectively– because an inclusive work environment promotes creativity, innovation and productivity.
Based on an anti-bias approach, the offered Inclusive Leadership Training guides participants to fulfil their role as leaders more consciously. The workshop focuses around the following topics:
•    Diversity, Equity & Inclusion (DEI): Definition and dimensions as well as barriers to implementation
•    Unconscious biases: examples (aha effects)
•    Unconscious bias as a barrier to an inclusive culture, with special consideration of the university context
•    Characteristics of an inclusive culture and principles of an inclusive leadership style
•    Strategies, tools and options for inclusive leaders
•    Personal implementation plan: What will I take away? What will I implement or change?

The workshop is designed to be interactive and includes a mix of theoretical input, discussion, individual and group exercises.

Bio:
Dr Susanne Hamscha holds a PhD in Cultural Studies and is a certified Diversity Trainer.  She is an expert for the implementation of diversity strategies in higher education, science and research. Moreover, she has extensive experience in research, publishing and teaching at several universities in Germany, Austria and the USA. 

Registration:

Please register via email to elisabeth.hutter@uni-konstanz.de

Location:
The talk will be available online. The link will be provided to the participants.

Past Events