NHS TUG Materials
3iap Talks & Workshops
Equitable Epidemiology
If you are interested in diving deeper into other topics related to equitable population health visualizations, or if you think these are important topics for your colleagues, you can learn more about the "Equitable Epidemiology" workshops here:
Other Talks
- "Visual Villainy: How to Undermine Humanity with Dataviz" This year’s Outlier Keynote
- "Chart Chat 53 with Eli Holder" Chart Chat hosts Steve Wexler, Jeff Shaffer, Amanda Makulec, and Andy Cotgreave are joined by Eli Holder, principal at 3 is a Pattern and researcher who has dug into some sticky topics around how we represent (or misrepresent) information through visualization.
3iap Research & Writing
Unfair Comparisons (Dispersion vs Disparity)
Exploring the impact of variability on attribution and stereotypes.
- Research Paper: “Dispersion vs Disparity: Hiding Variability Can Encourage Stereotyping When Visualizing Social Outcomes”
- Nightingale Writeup: “Unfair Comparisons: How Visualizing Social Inequality Can Make It Worse” How popular chart choices can trigger unconscious social biases and reinforce systemic racism.
- Technical Results Post: “Dispersion & Disparity”
- Motivation: “What Can Go Wrong? Deficit Thinking in Dataviz”
- VIS Talk: “Dispersion vs Disparity” Presentation for IEEE VIS 2022
Must Be A Tuesday
Validating equitable data design techniques for population mortality charts.
Polarizing Political Polls
How social normative influences are triggered by charts
- Research Paper: "Polarizing Political Polls: How Visualization Design Choices Can Shape Public Opinion and Increase Political Polarization"
- Nightingale Writeup: “Divisive Dataviz: How Political Data Journalism Divides Our Democracy”
- Technical Results Post: “Polarizing Political Polls”
- Background Motivation: “Through a Partisan Lens: How Prior Political Beliefs Override Information.”
- VIS Talk: “Polarizing Political Polls” Presentation for IEEE VIS 2023
Misc. Related Writing
- “Sketching Sketchy Bar Charts” Understanding how viewers underestimate variability when viewing bar charts of averages.
- “When is eleven scarier than twelve?” Understanding perceptions of relative health risk.
- “Read the room” The Ensemble Effect helps explain why Jitter Plots so intuitive.
Talk Citations
Introduction
- Rogers 2013: "John Snow's data journalism: the cholera map that changed the world"
- Milkman et al. 2021: "Megastudies improve the impact of applied behavioural science"
Information Backfire: What’s the worst that can happen?
- Gold et al. 2018: "The Unintended Impact of Smoking-Risk Information on Concerns About Radon: A Randomized Controlled Trial"
- Skinner-Dorkenoo 2022: "Highlighting COVID-19 racial disparities can reduce support for safety precautions among White U.S. residents"
- Mahler et al. 2003: "Effects of Appearance-Based Interventions on Sun Protection Intentions and Self-Reported Behaviors"
- Mahler et al. 2010: "Effects of upward and downward social comparison information on the efficacy of an appearance-based sun protection intervention: a randomized, controlled experiment"
Pointing The Finger
- Jhangiani & Tarry 2022: "Biases in Attribution"
- Davis & Museus 2019: "What Is Deficit Thinking? An Analysis of Conceptualizations of Deficit Thinking and Implications for Scholarly Research"
- Holder & Padilla 2024: "Must Be a Tuesday: Affect, Attribution, and Geographic Variability in Equity-Oriented Visualizations of Population Health Disparities"
Downstream Detriments
- Cimpian & Salomon 2014: "The inherence heuristic: An intuitive means of making sense of the world, and a potential precursor to psychological essentialism"
- Kite & Whitley 2016: "Old-fashioned and contemporary forms of prejudice"
- Leitner et al 2016: "Racial bias is associated with ingroup death rate for Blacks and Whites: Insights from Project Implicit"
- Orchard et al 2017: "County-level racial prejudice and the black-white gap in infant health outcomes"
- Holder & Padilla 2024: "Must Be a Tuesday: Affect, Attribution, and Geographic Variability in Equity-Oriented Visualizations of Population Health Disparities"
- Brown-Iannuzzi et al 2016: "The Relationship Between Mental Representations of Welfare Recipients and Attitudes Toward Welfare"
- Snowden & Graaf 2019: "The 'Undeserving Poor,' Racial Bias, and Medicaid Coverage of African Americans"
- Gollust & Lynch 2011: "Who Deserves Health Care? The Effects of Causal Attributions and Group Cues on Public Attitudes About Responsibility for Health Care Costs"
- Jhangiani & Tarry 2022: "Other Determinants of Helping"
- Braveman & Dominguez 2021: "Abandon 'Race.' Focus on Racism."
- Hoffman et al 2016: "Racial bias in pain assessment and treatment recommend-ations, and false beliefs about biological differences between blacks and whites"
Design Matters
- Jhangiani & Tarry 2022: "Social Categorization and Stereotyping"
- Wilmer & Kerns 2022: "What’s really wrong with bar graphs of mean values: variable and inaccurate communication of evidence on three key dimensions"
- Holder & Xiong 2022: "Dispersion vs Disparity: Hiding Variability Can Encourage Stereotyping When Visualizing Social Outcomes"
- Holder & Padilla 2024: "Must Be a Tuesday: Affect, Attribution, and Geographic Variability in Equity-Oriented Visualizations of Population Health Disparities"
- Cimpian & Salomon 2014: "The inherence heuristic: An intuitive means of making sense of the world, and a potential precursor to psychological essentialism"
- Skitka et al 2002: "Dispositions, Scripts, or Motivated Correction? Understanding Ideological Differences in Explanations for Social Problems"
- Matute et al 2015: "Illusions of causality: how they bias our everyday thinking and how they could be reduced"
- Kong et al 2019: "Trust and Recall of Information across Varying Degrees of Title-Visualization Misalignment"
- Xiong Bearfield 2024: "Same Data, Diverging Perspectives: The Power of Visualizations to Elicit Competing Interpretations"