Agenda for BioVis@Vis Workshop

BioVis Challenges Workshop Agenda

Workshop Scope

The number of individuals in studies that are collecting clinical, genomic, and other biomedical data has been growing rapidly in recent years. For example, the UK Biobank currently makes data for 500,000 individuals available and the National Institutes of Health All of Us Program aims to collect data on a million individuals over the next few years. Similar data collection and organization efforts are also taking place at hospitals and private companies in the pharma and healthcare sectors. The breadth of these collections is also growing significantly with the increasing availability of different data channels and personal sensors, adding new layers of richness and valuable information.

In this workshop, we will discuss what unique data visualization challenges visualization of data from such studies are posing and how the visualization community can contribute to the success of those studies. This will include questions focused on visual design and interaction, but also technical and legal challenges related to data access, for a broad range of data types and driving biomedical questions.

Workshop Goal

The goal of the workshop is to lay the groundwork for a position paper on challenges and research opportunities for data visualization in large heterogeneous collections of clinical, genomic, and other biomedical data. Workshop organizers and interested workshop participants will collaboratively refine the results of the discussions after the event and write this position paper. At a minimum, all participants will be acknowledged for their contribution.

Preliminary Timeline

Note: This is a rough agenda and the timings might slightly vary due to the dynamic nature of the workshop

When: October 22nd, 2018, 9:00 - 12:40

Location: Room Estrel B, Estrel Berlin Convention Center (for further details see the

9:00 - 9:10
Opening remarks and workshop structure overview
9:10 - 9:40
Health Data Diversity and Complexity: Visualization Challenges for Longitudinal Cohort Analysis
Speaker: David Gotz, University of North Carolina at Chapel Hill
9:40 - 10:00
Topics Discussion, Forming groups and setting up
10:00 - 10:40
Group work Session 1: Introductions and outline questions

10:40 - 11:00
Coffee Break

11:00 - 12:10
Group work Session 2: Prioritize questions, develop ideas, and draft report
12:10 - 12:30
Reporting back from groups
12:30 - 12:40
Wrap-up / Final comments / Next steps

Keynote Talk

Health Data Diversity and Complexity: Visualization Challenges for Longitudinal Cohort Analysis
David Gotz, University of North Carolina at Chapel Hill
David Gotz
Abstract: David Gotz is an Associate Professor of Information Science in the School of Information and Library Science (SILS) at the University of North Carolina at Chapel Hill. He leads the Visual Analysis and Communications Lab (VACLab) where he conducts research related to the study and development of visual methods for information analysis and communication. He also serves as the Assistant Director for the Carolina Health Informatics Program. Prior to joining SILS, he was a research scientist at the T.J. Watson Research Center at IBM Research. During his final years at IBM he was part of the Healthcare Systems and Analytics Research Department. He also spent several years working for the Intelligent Information Interaction Department which he joined immediately after earning his Ph.D. in Computer Science from UNC-Chapel Hill in 2005. Prior to his Ph.D. studies, he received his MS in Computer Science from UNC-Chapel Hill in 2001. He graduated with highest honors from Georgia Tech in 1999 where he majored in Computer Science and received a certificate in Economics.