Interactive Visualization for Data-Driven Reasoning
Event Information
About this Event
Visualizations allow analysts to rapidly explore and make sense of their data. People can use visualizations to intuitively explore and make sense of data, driving sense making and reasoning. However, the insights people derive from data depend on the ways visualizations present that data. Further, the scales of modern datasets often surpass the amount of data a standard bar chart or line graph can support, requiring innovative designs and mixed-initiative approaches coupling statistical and visual analysis. The first half of the talk will discuss the state of the art in data visualization, focusing on challenges associated with data scale and advances in display technology.
The second half of the talk will explore on-going work at the University of Colorado that models how people interpret visualized data and how we can use these models to drive novel visualization systems that support accurate analysis of complex data that better scale to the needs of modern analytics. I will discuss specific projects incorporating interactive statistical analytics and novel display technologies to increase the accessibility, scalability, and pervasiveness of data-driven reasoning. I will close by discussing the potential of these approaches to drive innovative IoT solutions.
Danielle Albers Szafir is an Assistant Professor and member of the founding faculty of the Department of Information Science, an Affiliate Professor of Computer Science, and a Fellow in the ATLAS Institute and Institute of Cognitive Science at the University of Colorado Boulder. Her research, which sits at the intersection of information visualization, data science, and cognitive science, has been integrated into leading tools such as D3 and Tableau and has received best paper awards at IEEE VIS and IS&T Color and Imaging. She was named to the Forbes 30 Under 30 Class of 2018 for Science. Dr. Szafir received a B.S. in Computer Science at the University of Washington as a NASA Space Grant Scholar and a Ph.D. in Computer Sciences at the University of Wisconsin-Madison.
Agenda and Logistics
The monthly PPI Advances Series is open to anyone interested in pervasive personalized intelligence. We welcome you to join the conversation and get involved at whatever level is suitable for you.
- 2:50-3:00pm: Pre-Webinar Networking (optional)
- 3:00-3:02pm: Welcome from the Center Directors
- 3:02-3:05pm: New Member Introductions
- 3:05-3:25pm: Presentation
- 3:25-3:30pm: Industrial Case Study Follow-Up
- 3:30-3:50pm: Q&A
- 3:50-4:00pm: Center Vision and Value Discussion (optional)
- 4:00-4:30pm: Post-Webinar Meet the Speaker and Students (members only)
The main event and the Pre-Webinar Networking session is open to anyone, while the Post-Webinar Meet the Speaker and Students session is for members only.
To start the main presentation on time, we reserve the first few minutes for new members of the PPI Center to introduce themselves live but otherwise ask you to introduce yourself asynchronously via the group chat. Feel free to include your LinkedIn to connect.
All times are Pacific Time (PST/PDT).
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About the Series
The monthly PPI Advances Series is targeted towards industrial practitioners to (i) give an overview of an area and its industrial applications from one of our faculty experts and (ii) allow industry participants to engage with the presenter to shape the research to be of the most value to industry. We are looking forward to serving you, and please invite your colleagues to attend these webinars.
