Abhraneel Sarma
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abhsarma.bsky.social
Abhraneel Sarma
@abhsarma.bsky.social
83 followers 170 following 12 posts
VIS/HCI Postdoc at TU Graz
abhsarma.github.io
I authored (and maintain) the multiverse R pkg
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abhsarma.bsky.social
I’ve long admired the work done by Alex and the VDL, and I’m really excited to be a part of it!!!
alex-lex.bsky.social Alexander Lex @alex-lex.bsky.social · 16d
I'm excited to welcome the first member of the Visualization Design Lab @ TU Graz: Abhraneel Sarma. Abhraneel joins us as a PostDoc from Northwestern University in Chicago, where he just recently completed his PhD.
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November 9, 2025 at 1:08 PM
abhsarma.bsky.social
Thank you @jessicahullman.bsky.social and @mjskay.com for being such wonderful mentors!!!

Looking back, one thing I really appreciated was all the times that you’ve challenged me to take on the more difficult problem, and that’s helped me improve my work immensely!
jessicahullman.bsky.social Jessica Hullman @jessicahullman.bsky.social · Aug 2
Congrats to Dr. @abhsarma.bsky.social on a successful Ph.D. thesis defense!

"Designing Interactive Systems for Reasoning with Ontological Uncertainty in Data Analysis"

Advised by @mjskay.com and me with Darren Gergle and Fanny Chevalier also on the committee.
August 3, 2025 at 4:20 PM
abhsarma.bsky.social
🚨Paper alert! 🚨
I'll be presenting my paper visualising multiple forecast distributions at #chi2025! (If you are in-person, the talk is on Wed 11:10am in G414+415)
If you are not interested in probability distributions, I will also be talking about 🦙 alpacas 🦙
dl.acm.org/doi/10.1145/...
More Forecasts, More (Decision) Problems: How Uncertainty Representations for Multiple Forecasts Impact Decision Making | Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems
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dl.acm.org
April 29, 2025 at 1:37 AM
Reposted by Abhraneel Sarma
mjskay.com
This is a great point, and was one reason @abhsarma.bsky.social (with me + @jessicahullman.bsky.social) built a multiverse analysis tool that tries to help experts understand and evaluate the validity of subsets of a multiverse, rather than just shrugging: "enh, results vary" doi.org/10.1145/3613...
Figure 2: The Milliways interface consists of four panels to support the multiverse analysis tasks and a principled evaluation of the multiverse analysis. The outcome panel Al presents the results of the multiverse-for each universe in the multiverse, we show an outcome or result. The specification panel A2 reveals the options for each parameter which the universe is composed of. The code panel A3 presents the code that was used to construct the multiverse (here, the code was from the multiverse R library). The data panel A4 shows the dataset used in the analysis. Other elements include the add button to add additional outcome variables A5, exclude button to remove options of a parameter AG, link button to link (aggregate) the outcomes across two or more options A7, slider for hierarchical sorting based on average effect AS and the zoom toggle A9 Figure 5: Hierarchical sorting based on the average marginal effect allows users to see the variation in the outcome due to the options of a parameter. It also allows users to inspect the outcomes conditional on the options of parameters Figure 6: On aggregation, we represent uncertainty in the result using probability boxes Figure 7: A walkthrough of the steps that Alice performs during her principled evaluation of a multiverse analysis using Milliways which is described in our case study
November 26, 2024 at 5:44 PM
abhsarma.bsky.social
Can we make using SPSS (or other proprietary software) for analysis in papers be grounds for desk rejection?
(I am only slightly joking)
June 11, 2024 at 4:59 PM