You are all cordially invited to workshop visual analytics and applications, which will take place on 8th of April, from 14:00-17:00 at Pulse-hall 4. Please find detailed program below.
14:00 Jean Daniel Fekete: “Exploring the Evolution of Relationships with Dynamic Hypergraphs”
14:40 Renata Raidou: “Employing Visual Analytics for the Exploration and Prediction”
15:30 Cagatay Turkay: “Informed computational modelling through visual analytics”
Abstract: With the increasing availability of computational data analysis and modelling tools that can be utilised out-of-the-box, the route from data to results is now much shorter. However, these advancements also come together their own limitations, and a data scientists need to be aware of the pitfalls and act carefully to question every observation and method used within each step of the data analysis process. Visual analytics approaches where interactive visualisations are coupled tightly with the algorithms offer effective methodologies in conducting data science in such inquisitive, rigorous ways. This talk will discuss how visual analytics can facilitate such practices and will look at examples of research on how data can be transformed and visualised creatively in multiple perspectives, on how comparisons can be made within different models, parameters, and within local and global solutions, and on how interaction is an enabler for such processes.
16:10 Thomas Hollt: Cytosplore: Visual Analytics for Single-Cell Profiling of the Immune System
Abstract: Recent advances in single-cell acquisition technology have led to a shift towards single-cell analysis in many fields of biology. In immunology, detailed knowledge of the cellular composition is of interest, as it can be the cause of deregulated immune responses, which cause diseases. Similarly, vaccination is based on triggering proper immune responses; however, many vaccines are ineffective or only work properly in a subset of those who are vaccinated. Identifying differences in the cellular composition of the immune system in such cases can lead to more precise treatment. Cytosplore is an integrated, interactive visual analysis framework for the exploration of large single-cell datasets. We have developed Cytosplore in close collaboration with immunology researchers and several partners use the software in their daily workflow. Cytosplore enables efficient data analysis and has led to several discoveries alongside high-impact publications.