162 | Highlights from IEEE VIS'20 with Miriah Meyer and Danielle Szafir

Data Stories

Hey all, we are back! In this classic episode we go over highlights from the IEEE VIS’20 conference. We cover a broad set of themes with Danielle Szafir from University of Colorado and Miriah Meyer from University of Utah, who helped us explore latest trends in visualization. See the main links and details in the show notes below. There is a lot to explore!

Remember: our podcast is listener-supported, please consider making a donation! Using Patreon or Paypal.

Links

Topic: IEEE VIS conference <http://ieeevis.org/year/2020/welcome>

Miriah Meyer <http://www.cs.utah.edu/~miriah/>

Danielle <https://danielleszafir.com>

PolicyViz episode on IEEE VIS 2020: <https://policyviz.com/podcast/episode-184-ieeevis-recap/>

Short paper: Why Shouldn’t All Charts Be Scatter Plots? Beyond Precision-Driven Visualizations: <https://arxiv.org/abs/2008.11310>

John Burn-Murdoch’s BELIV workshop keynote: <https://youtu.be/xlN_QUdT6os>

Short paper: Designing for Ambiguity: Visual Analytics in Avalanche Forecasting: <https://arxiv.org/abs/2009.02800>

Vis Psychology workshop: <https://sites.google.com/view/vispsych/>

Barbara Tversky’s keynote: <https://youtu.be/GLiFg3M70Mk?t=1090>

Paper: Visual reasoning strategies for effect size judgments and decisions: <https://arxiv.org/abs/2007.14516>

Paper: Insight Beyond Numbers: The Impact of Qualitative Factors on Visual Data Analysis: <https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9241426>

Paper: A Design Space of Vision Science Methods for Visualization Research: <https://arxiv.org/abs/2009.06855>

Paper: Communicative Visualizations as a Learning Problem: <https://arxiv.org/abs/2009.07095>

Sheelagh Carpendale’s Capstone: <https://youtu.be/XQhBHnPIsRk>

Paper: Introducing Layers of Meaning (LoM): A Framework to Reduce Semantic Distance of Visualization In Humanistic Research: <https://projectcornelia.be/uploads/lamqaddam_vis_2020_preprint.pdf>

Paper: Insights From Experiments With Rigor in an EvoBio Design Study: <https://arxiv.org/abs/2008.11564>

Paper: Data Comics for Reporting Controlled User Studies in Human-Computer Interaction: <https://osf.io/unmyj>

Paper: Uplift: A Tangible and Immersive Tabletop System for Casual Collaborative Visual Analytics: <https://ialab.it.monash.edu/~dwyer/papers/uplift.pdf>

Short paper: The Anatomical Edutainer: <https://arxiv.org/abs/2010.09850>

Paper: Chemicals in the Creek: designing a situated data physicalization of open government data with the community: <https://arxiv.org/abs/2009.06155>

Druid <https://renecutura.eu/pdfs/Druid.pdf>

Calliope <https://ieeexplore.ieee.org/abstract/document/9222368>

Data GIFs <https://data-gifs.github.io>

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Related episodes

• Highlights from IEEE VIS'22 with Tamara Munzner

Hoofdstukken

1. Welcome back to Data Stories! (00:00:24)

2. Our podcast is listener-supported, please consider making a donation! (00:01:01)

https://www.patreon.com/datastories

3. Our topic: IEEE VIS conference (00:01:28)

http://ieeevis.org/year/2020/welcome

4. Our guests: Miriah Meyer (00:02:13)

http://www.cs.utah.edu/~miriah/

5. and: Danielle Zsafir (00:02:26)

https://danielleszafir.com

6. PolicyViz episode on VIS: (00:04:19)

https://policyviz.com/podcast/episode-184-ieeevis-recap/

7. Unpacking the "magic" that happens between data and insight (00:05:53)

8. Short paper: Why Shouldn't All Charts Be Scatter Plots? (00:07:15)

https://arxiv.org/abs/2008.11310

9. Short paper: Designing for Ambiguity: Visual Analytics in Avalanche Forecasting: (00:07:58)

https://arxiv.org/abs/2009.02800

10. John Burn-Murdoch's BELIV workshop keynote: (00:09:18)

https://youtu.be/xlN_QUdT6os

11. Vis Psychology (vision science, cognition, etc.) (00:16:20)

12. Vis Psychology workshop: (00:17:51)

https://sites.google.com/view/vispsych/

13. Barbara Tversky's keynote: (00:18:58)

https://youtu.be/GLiFg3M70Mk?t=1090

14. Paper: Visual reasoning strategies for effect size judgments and decisions: (00:20:31)

https://arxiv.org/abs/2007.14516

15. Paper: Insight Beyond Numbers: The Impact of Qualitative Factors on Visual Data Analysis: (00:22:20)

https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9241426

16. Paper: A Design Space of Vision Science Methods for Visualization Research: (00:23:32)

https://arxiv.org/abs/2009.06855

17. Communicative visualization: (00:28:57)

https://arxiv.org/abs/2009.07095

18. Sheelagh Carpendale's Capstone: (00:30:16)

https://youtu.be/XQhBHnPIsRk

19. Methodological diversity (ways of doing vis research / broader lens and scope) (00:33:03)

20. Tamara Munzner's BELIV call for mixed methods becoming increasingly feasible to do well! (00:33:44)

21. Paper: Introducing Layers of Meaning (LoM): A Framework to Reduce Semantic Distance of Visualization In Humanistic Research: (00:35:42)

https://projectcornelia.be/uploads/lamqaddam_vis_2020_preprint.pdf

22. Paper: Insights From Experiments With Rigor in an EvoBio Design Study: (00:36:31)

https://arxiv.org/abs/2008.11564

23. Paper: Data Comics for Reporting Controlled User Studies in Human-Computer Interaction: (00:39:13)

https://osf.io/unmyj

24. Vis "Beyond the desktop" (00:41:10)

25. Paper: Uplift: A Tangible and Immersive Tabletop System for Casual Collaborative Visual Analytics: (00:41:53)

https://ialab.it.monash.edu/~dwyer/papers/uplift.pdf

26. Short paper: The Anatomical Edutainer: (00:42:20)

https://arxiv.org/abs/2010.09850

27. Immersion as a key trend (00:43:37)

28. Paper: Chemicals in the Creek: designing a situated data physicalization of open government data with the community: (00:48:29)

https://arxiv.org/abs/2009.06155

29. Vis and COVID19 + Vis for Social Good (00:51:22)

30. COVID panel: Ana Crisan: Why now? (00:53:14)

31. Which papers had the most practical relevance? (01:00:40)

32. Toolkits and systems session (01:00:58)

33. Druid (01:01:42)

https://renecutura.eu/pdfs/Druid.pdf

34. Calliope (01:02:05)

https://ieeexplore.ieee.org/abstract/document/9222368

35. Data GIFs (01:02:45)

https://data-gifs.github.io

36. Commenting the new format of IEEE Vis (01:03:38)

37. Get in touch with us and support us on Patreon (01:12:15)

https://www.patreon.com/datastories