Schedule (all times in PDT)

• 10:00 AM -- 10:10 AM opening 10 mins

• 10:10 AM -- 11:00 AM panel discussion 50 mins

• 11:00 AM -- 11:20 AM lightning talks 20 mins

• 11:20 AM -- 11:30 AM finalize theme building 10 mins

• 11:30 AM -- 12:00 PM break 30 mins

• 12:00 PM -- 12:50 PM breakout session 50 mins

• 12:50 PM -- 1:20 PM report back 30 mins

• 1:20 PM -- 1:30 PM closing 10 mins

Panel

We are pleased to welcome three experts in diverse aspects of interacting with data:

• Michelle Levy, Storytelling with Humanities Data.
  Michelle is a Professor in the Department of English and Co-Founder of the Digital Humanities Innovation Lab at Simon Fraser University. She specializes in the fields of Romantic literary history, media history, and women’s book history. Her recent books are the Broadview Introduction to Book History (co-authored with Tom Mole, 2017), Literary Manuscript Culture in Romantic Britain (Edinburgh University Press, 2020), and How and Why To do things with Eighteenth-Century Manuscripts (co-authored with Betty Schellenberg), forthcoming from Cambridge University Press later this year. She also directs The Women’s Print History Project, a comprehensive bibliographical database of women’s books.

• Skye Moret, Collaborative Data-Driven Design.

Skye Morét is Chair of the Collaborative Design and Design Systems graduate programs at the Pacific Northwest College of Art at Willamette University. Skye holds an MFA in Information Design from Northeastern University and a BS in Biology from Oregon State University. You can find more information at https://pnca.edu/people/meet/skye-moret.

• Jonathan Drummey, Considering Various Mental Models for Working with Data.
  Jonathan is a data visualization specialist at PATH where he provides technical assistance and training in data wrangling and visualization for improving global health. He focuses on developing new approaches to strengthening analytical skills and effective data use. Prior to joining PATH Jonathan was the lead trainer and a consultant at DataBlick and a volunteer on the Visualize No Malaria partnership that includes Alteryx, PATH, the Tableau Foundation, and the Zambia Ministry of Health. He lives on the coast of Maine, USA.

Lightning Talks

Authors of the accepted papers will give a BRIEF (1 minute) introduction to their work. The schedule for presentations is:

• D. Betancur, Towards a Data Model Oriented to Visual Analysis in Longitudinal Medical Studies;

• M. Birchfield, Adapting Reorderable Matrices for Qualitative Analysis;

• R. Chaudhury, Human-Data Interaction for Informal Learners: Challenges and Opportunities;

• J. Crouser, Case Study: Glucometric Data as a Tool for Self-Advocacy During Gestational Diabetes Treatment;

• P. Dhawka, Observations of Data Resistance: Challenges of Communicating Demographic Data at Private Institutions;

• M. Lewis, Data Spaces in New Places;

• Y. Ma, Toward A Better Understanding of Missingness in Visual Analytics

• J. Roberts, Embodiment for Supporting for Organic Human-Data Learning Interactions;

• B. Watson, Delivering Health Data In the Large: Multinational, Multifaceted and Multidisciplinary

Activities

We will use a Miro board for our theme building and breakout session activities. Participants will be invited to the Miro board during the workshop.

Papers

• Benjamin Watson, Shaghayegh Rezaei Arangdad, A. Blanton Godfrey. Delivering Health Data In the Large: Multinational, Multifaceted and Multidisciplinary

• Rimika Chaudhury, Parmit K. Chilana. Human-Data Interaction for Informal Learners: Challenges and Opportunities

• Morganne P. Crouser, Jordan Crouser. Case Study: Glucometric Data as a Tool for Self-Advocacy During Gestational Diabetes Treatment

• Jessica Roberts, Francesco Cafaro. Embodiment for Supporting for Organic Human-Data Learning Interactions

• Duvan A. Gomez Betancur, Jose Tiberio Hernandez. Towards a Data Model Oriented to Visual Analysis in Longitudinal Medical Studies

• Matthew Lewis. Data Spaces in New Places

• Priya Dhawka, Wesley Willett, Helen Ai He. Observations of Data Resistance: Challenges of Communicating Demographic Data at Private Institutions

• Yue Ma, Courtney Bolton, Maoyuan Sun, Yuanxin Wang,Jian Zhao, Tianyi Li. Toward A Better Understanding of Missingness in Visual Analytics

• Melissa Birchfield, Eunice Jun. Adapting Reorderable Matrices for Qualitative Analysis