Publications

Conference publications are refereed i.e., fully reviewed and archival

More Forecasts, More (Decision) Problems: How Uncertainty Representations for Multiple Forecasts Impact Decision Making
Abhraneel Sarma, Maryam Hedayati and Matthew Kay
CHI 2025 ● PDF ● OSF

Tasks and Telephones: Threats to Experimental Validity due to Misunderstandings of Visualisation Tasks and Strategies
Abhraneel Sarma, Sheng Long, Michael Correll and Matthew Kay
BELIV Workshop at IEEE VIS 2024 ● PDF

The multiverse of universes: A tutorial to plan, execute, and interpret multiverses analyses using the R package multiverse
Martin Götz, Abhraneel Sarma, Ernest O'Boyle
International Journal of Psychology ● 2024 ● PDF

Opportunities, tensions, and challenges in computational approaches to addressing online harassment
Evey Huang, Abhraneel Sarma, Sohyeon Hwang, Eshwar Chandrasekharan, Stevie Chancellor
DIS 2024 ● BEST PAPER HONORABLE MENTION ● PDF

Odds and Insights: Decision Quality in Visual Analytics Under Uncertainty
Abhraneel Sarma, Xiaoying Pu, Yuan Cui, Eli T Brown, Michael Correll and Matthew Kay
CHI 2024 ● BEST PAPER HONORABLE MENTION ● PDF ● OSF

Milliways: Taming Multiverses through Principled Evaluation of Data Analysis Paths
Abhraneel Sarma, Kyle Hwang, Jessica Hullman and Matthew Kay
CHI 2024 ● PDF ● OSF

multiverse: Multiplexing Alternative Data Analyses in R Notebooks
Abhraneel Sarma, Alex Kale, Michael Moon, Nathan Taback, Fanny Chevalier, Jessica Hullman and Matthew Kay
CHI 2023 ● BEST PAPER HONORABLE MENTION ● PDF ● OSF

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

An automated approach to reasoning about task-oriented insights in responsive visualization
Hyeok Kim,Ryan Rossi, Abhraneel Sarma, Dominick Moritz and Jessica Hullman
VIS 2021 ● PDF

Prior Setting In Practice: Strategies and rationales used in choosing prior distributions for Bayesian analysis
Abhraneel Sarma and Matthew Kay
CHI 2020 ● PDF ● GITHUB ● OSF

Increasing the transparency of research papers with Explorable Multiverse Analyses
Pierre Dragicevic, Yvonne Jansen, Abhraneel Sarma, Matthew Kay, and Fanny Chevalier
CHI 2019 ● BEST PAPER AWARD ● PDF ● GITHUB ● OSF

Courses

I've been involved in organising the following courses and tutorials as an instructor (this is a lecture series with rolling instructors):

Transparent Practices for Quantitative Empirical Research
Abhraneel Sarma, Chat Wacharamanotham, Fumeng Yang, Maryam Hedayati, Xiaoying Pu, and Lace Padilla
VIS 2023
CHI 2023
CHI 2022

Projects

The Effect of Explanatory Narratives and Exploratory Interactivity on learning through recall
Abhraneel Sarma and Matthew Kay
Master's Thesis Project ● 2018

Visualizing Inter-generational Wealth Mobility and Racial Inequality
Involved in developing the visualization (D3.js and reGL) and exploratory statistical modelling of the data.