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Evaluating the Use of Uncertainty Visualisations for Imputations of Data Missing At Random in Scatterplots Abhraneel Sarma, Shunan Guo, Jane Hoffswell, Ryan Rossi, Fan Du, Eunyee Koh and Matthew Kay VIS 2022 ● BEST PAPER HONORABLE MENTION ● PDF ● OSF... Broadly-I am interested in studying how people make sense of uncertainty in typical data analysis pipeline; this spans data quality issues, ambiguity over how data should be analysed (both in terms of data processing and modeling), and how results should be interpreted... Specifically-I have developed tools which help analysts to specify the uncertainty in their data analysis process itself (the multiverse R library), as well as visualise the results of such specification uncertainty (which I like to refer to as possibilistic uncertainty, but also referred to by statisticians epistemic uncertainty). I have also conducted studies to understand how users interpret uncertainty information in missing data contexts, and how we can improve..