The following is a list of my current publications. Click each title to visit an associated page with more information.

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Complexity as Design Material   2024-BELIV-complexity.pdf
Florian Windhager, Alfie Abdul-Rahman, Mark-Jan Bludau, Nicole Hengesbach, Houda Lamqaddam, Isabel Meirelles, Bettina Speckmannn, Michael Correll
BELIV, 2024
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Tasks and Telephone: Understanding Barriers to Inference due to Issues in Experiment Design   2024-BELIV-telephone.pdf
Abhraneel Sarma, Sheng Long, Michael Correll, Matthew Kay
BELIV, 2024
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The Data-Wink Ratio: Emoji Encoder for Generating Semantically-Resonant Unit Charts   2024-VIS-datawink.pdf
Matthew Brehmer, Vidya Setlur, Zoe, Michael Correll
Gen4DS, 2024
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Visual Stenography: Feature Recreation and Preservation in Sketches of Line Charts  
Rifat Ara Proma, Ghulam Jilani Quadri,, Michael Correll, Paul Rosen
IEEE VIS Poster, 2024
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Data Guards: Challenges and Solutions for Fostering Trust in Data   2024-VIS-dataguards.pdf
Nicole Sultanum, Dennis Bromley, Michael Correll
IEEE VIS Short Papers, 2024
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Visualization Ethics: A Case Study Approach   2024-DH-ethics.pdf
Michael Correll, Leonardo Impett, Lauren Frederica Klein, Georgia Panagiotidous, Alfie Abdul-Rahman, Geoffrey Rockwell
Digital Humanities, 2024
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When the Body Became Data: Historical Data Cultures and Anatomical Illustration   2024-CHI-anatomy.pdf
Michael Correll, Laura A. Garrison
CHI 2024
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Odds and Insights: Decision Quality in Exploratory Data Analysis Under Uncertainty   2024-CHI-odds.pdf
Abhraneel Sarma, Xiaoying Pu, Yuan Cui, Eli T. Brown, Michael Correll, Matthew Kay
CHI 2024
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Heuristics for Supporting Cooperative Dashboard Design   2023-Vis-grice.pdf
Vidya Setlur, Michael Correll, Arvind Satyanarayan, Melanie Tory
IEEE VIS 2023
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Teru Teru Bōzu: Defensive Raincloud Plots   2023-EuroVis-raincloud.pdf
Michael Correll
EuroVis 2023
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Troubling Collaboration: Matters of Care for Visualization Design Study   2023-CHI-care.pdf
Derya Akbaba, Devin Lange, Michael Correll, Alexander Lex, Miriah Meyer
CHI 2023
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Are We Making Progress in Visualization Research?   2022-BELIV-rigor.pdf
Michael Correll
BELIV 2022
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OSCAR: A Semantic-based Data Binning Approach   2022-Vis-OSCAR.pdf
Vidya Setlur, Michael Correll, Sarah Battersby
IEEE VIS Short Papers, 2022
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Fitting Bell Curves to Data Distributions using Visualization   2021-TVCG-bellcurves.pdf
Eric Newburger, Michael Correll, Niklas Elmqvist
TVCG, 2022
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Recommendations for Visualization Recommendations: Exploring Preferences and Priorities in Public Health   2022-Vis-Rec-Rec-CHI.pdf
Calvin Bao, Siyao Li, Sarah Flores, Michael Correll, Leilani Battle
CHI 2022
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A graph for every analysis: Mapping visuals onto common analyses using flexplot   2021-Flexplot.pdf
Dustin A. Fife, Gabrielle Longo, Michael Correll, Patrice D. Tremoulet
Behavior Research Methods, 2021
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Towards a Theory of Bullshit Visualization   2021-Bullshit-Vis-VIS.pdf
Michael Correll
alt.VIS 2021
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Illegible Semantics: Exploring the Design Space of Metal Logos   2021-Untidy-Tables-VIS.pdf
Gerrit J. Rijken, Rene Cutura, Frank Heyen, Michael Sedlmair, Michael Correll, Jason Dykes, Noeska Smit
alt.VIS 2021
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Untidy Data: The Unreasonable Effectiveness of Tables   2021-Untidy-Tables-VIS.pdf
Lyn Bartram, Michael Correll, Melanie Tory
IEEE VIS 2021
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Data-Driven Mark Orientation for Trend Estimation in Scatterplots   2021-Data-Driven-Marks-CHI.pdf
Tingting Liu, Xiaotong Li, Chen Bao, Michael Correll, Changhe Tu, Oliver Deussen, Yunhai Wang
CHI 2021
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User Ex Machina: Simulation as a Design Probe in Human-in-the-Loop Text Analytics   2021-Topic-Model-CHI.pdf
Anamaria Crisan, Michael Correll
CHI 2021
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Vis Ex Machina: An Analysis of Trust in Human versus Algorithmically Generated Visualization Recommendations   2021-Recommendation-Bias-CHI.pdf
Rachael Zehrung, Astha Singhal, Michael Correll, Leilani Battle
CHI 2021
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Why Shouldn't All Charts Be Scatter Plots? Beyond Precision-Driven Visualizations   2020-Scatter-VIS.pdf
Enrico Bertini, Michael Correll, Steven Franconeri
IEEE VIS Short Papers, 2020
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What Can We Actually Learn from Evaluations in the "Heroic Era" of Visualization?   2020-Heroic-BELIV.pdf
Michael Correll
BELIV 2020: Evaluation and Beyond — Methodological Approaches for Visualization
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Surfacing Visualization Mirages   2020-Mirages-CHI.pdf
Andrew McNutt, Gordon Kindlmann, Michael Correll
CHI 2020
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Truncating the Y-Axis: Threat or Menace?   2020-Truncation-CHI.pdf
Michael Correll, Enrico Bertini, Steven Franconeri
CHI 2020
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Divining Insights: Visual Analytics Through Cartomancy   altCHI-preprint.pdf
Andrew McNutt, Anamaria Crisan, Michael Correll
alt.CHI 2020
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VisuaLint: Sketchy In Situ Annotations of Chart Construction Errors   2019-Scagnostics-InfoVis.pdf
Aspen K. Hopkins, Michael Correll, Arvind Satyanarayan
EuroVis 2020
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Improving the Robustness of Scagnostics   2019-Scagnostics-InfoVis.pdf
Yunhai Wang, Zeyu Wang, Tingting Liu, Michael Correll, Zangling Cheng, Oliver Deussen, Michael Sedlmair
IEEE VIS 2020
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Designing Animated Transitions to Convey Aggregate Operations   2019-Animation-EuroVis.pdf
Younghoon Kim, Michael Correll, Jeffrey Heer
EuroVis 2019
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Ethical Dimensions of Visualization Research   2019-Ethics-CHI.pdf
Michael Correll
CHI 2019
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Looks Good To Me: Visualizations As Sanity Checks   2018-SanityChecks-InfoVis.pdf
Michael Correll, Mingwei Li, Gordon Kindlmann, Carlos Scheidegger
VIS 2018
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In Pursuit of Error: A Survey of Uncertainty Visualization Evaluation   2018-UncertaintyEval-InfoVis.pdf
Jessica Hullman, Xiaoli Qiao, Michael Correll, Alex Kale, Matthew Kay
VIS 2018
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What Do We Talk About When We Talk About Dashboards?   2018-Dashboards-InfoVis.pdf
Alper Sarikaya, Michael Correll, Lyn Bartram, Melanie Tory, Danyel Fisher
VIS 2018
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Ross-Chernoff Glyphs Or: How Do We Kill Bad Ideas in Visualization?   altCHI-preprint.pdf
Michael Correll
alt.CHI 2018
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Value-Suppressing Uncertainty Palettes   2018-UncertaintyPalettes-CHI.pdf
Michael Correll, Dominik Moritz, Jeffrey Heer
CHI 2018
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Black Hat Visualization   2017-Blackhat-DECISIVE.pdf
Michael Correll, Jeffrey Heer
DECISIVe: Workshop on Dealing with Cognitive Biases in Visualisations, 2017
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Regression by Eye: Estimating Trends in Bivariate Visualizations   2017-Trend-CHI.pdf
Michael Correll, Jeffrey Heer
CHI 2017
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Surprise! Bayesian Weighting for De-Biasing Thematic Maps   2017-SurpriseMaps-InfoVis.pdf
Michael Correll, Jeffrey Heer
VIS 2016
CG16
The Semantics of Sketch: A Visual Query System for Time Series Data   VAST2016.pdf
Michael Correll, Michael Gleicher
VIS 2016
SCDOG16
Visualizing Co-occurrence of Events in Populations of Viral Genome Sequences   co-occurrence-eurovis2016.pdf
Alper Sarikaya, Michael Correll, Jorge Dinis, David O'Connor, Michael Gleicher
EuroVis 2016
 
CG15
Implicit Uncertainty Visualization: Aligning Perception and Statistics   vdmu_submitted.pdf
Michael Correll, Michael Gleicher
DECISIVe: Workshop on Dealing with Cognitive Biases in Visualisations, 2015
Cor15
Improving Visual Statistics   dissertation.pdf
Michael Correll
PhD thesis from University of Wisconsin-Madison, 2015
CBSOG15
LayerCake: a tool for the visual comparison of viral deep sequencing data  
Michael Correll, Adam Bailey, Alper Sarikaya, David O'Connor, Michael Gleicher
Bioinformatics, 2015
 
CG14a
Bad for Data, Good for the Brain : Knowledge-First Axioms For Visualization Design  
Michael Correll, Michael Gleicher
DECISIVe : Workshop on Dealing with Cognitive Biases in Visualisations, 2014
ACGF14
Ensemble Processing of Color and Shape: Beyond Mean Judgments   beyond_mean_judgments.pdf visAggFigureDraft.pdf
Danielle Albers, Michael Correll, Michael Gleicher, Steve Franconeri
Journal of Vision, 2014
CG14
Error Bars Considered Harmful: Exploring Alternate Encodings for Mean and Error   Error Bars Considered Harmful Exploring Alternate Encodings for Mean and Error.pdf Preprint.pdf
Michael Correll, Michael Gleicher
IEEE VIS, 2014
BLWSDBNCGHTWCKHFGO14
High Genetic Diversity and Adaptive Potential of Two Simian Hemorrhagic Fever Viruses in a Wild Primate Population  
Adam Bailey, Michael Lauck, Andrea Weiler, Samuel Sibley, Jorge Dinis, Zachary Bergman, Chase Nelson, Michael Correll, Michael Gleicher, David Hyeroba, Alex Tumukunde, Geoffrey Weny, Colin Chapman, Jens Kuhn, Austin Hughes, Thomas Friedrich, Tony Goldberg, David O'Connor
PLoS ONE, 2014
CAASG14
Navigating Reductionism and Holism in Evaluation   24-correll.pdf
Michael Correll, Eric Alexander, Danielle Albers, Alper Sarikaya, Michael Gleicher
BELIV 2014: Beyond Time and Errors: Novel Evaluation Methods for Visualization
ACG14
Task-Driven Evaluation of Aggregation in Time Series Visualization   affordances-preprint.pdf
Danielle Albers, Michael Correll, Michael Gleicher
CHI 2014
 
CG13
Error Bars Considered Harmful   13-Correll-InfoVis-ErrorBars.pdf paper153.pdf
Michael Correll, Michael Gleicher
IEEE VIS Poster, 2013
GCNF13
Perception of Average Value in Multiclass Scatterplots   scatter-preprint.pdf
Michael Gleicher, Michael Correll, Christine Nothelfer, Steve Franconeri
IEEE VIS 2013
CAG13
Quantity Estimation in Visualizations of Tagged Text   chi2013.pdf
Michael Correll, Eric Alexander, Michael Gleicher
CHI 2013
 
CAFG12
Comparing Averages in Time Series Data   chi3.pdf Comparing Averages in Time Series Data.pdf
Michael Correll, Danielle Albers, Steve Franconeri, Michael Gleicher
CHI 2012
OBWCBGCGHPFO12
Conditional CD8+ T Cell Escape during Acute Simian Immunodeficiency Virus Infection  
Shelby O'Connor, Ericka Becker, Jason Weinfurter, Emily Chin, Melisa Budde, Emma Gostick, Michael Correll, Michael Gleicher, Austin Hughes, David Price, Thomas Friedrich, David O'Connor
Journal of Virology, 2012
CG12
What Shakespeare Taught Us About Text Visualization   final.pdf
Michael Correll, Michael Gleicher
Workshop on Interactive Visual Text Analytics, 2012
 
CWG11a
Exploring Collections of Tagged Text for Literary Scholarship   paper.pdf
Michael Correll, Michael Witmore, Michael Gleicher
EuroVis, 2011
CGOG11
Visualizing Virus Population Variability From Next Generation Sequencing Data   paper144.pdf
Michael Correll, Subhadip Ghosh, David O'Connor, Michael Gleicher
Symposium on Biological Data Visualization (BioVis), 2011
 
CG10
Poster: Understanding Tagged Text   paper.pdf
Michael Correll, Michael Gleicher
IEEE VIS Poster, 2010

My undergraduate St. Mary's project, "Can Machines Think: A Philosophical Guide" is available here.