iiinova — where your digital self keeps evolving

Abhraneel Sarma

@abhsarma.bsky.social

VIS/HCI Postdoc at TU Graz. Previouly at Northwestern CS, UMich and IITG Author (and maintainer) of the multiverse R pkg, tea drinker, book hoarder, afternoon napper abhsarma.github.io

Posts Replies Media

Abhraneel Sarma @abhsarma.bsky.social · 09/11/2025

I’ve long admired the work done by Alex and the VDL, and I’m really excited to be a part of it!!!

050

Abhraneel Sarma @abhsarma.bsky.social · 03/08/2025

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!

130

Abhraneel Sarma @abhsarma.bsky.social · 29/04/2025

🚨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/...

dl.acm.org

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

You will be notified whenever a record that you have chosen has been cited.

1121

Reposted by Abhraneel Sarma

Matthew Kay @mjskay.com · 26/11/2024

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

58430

Abhraneel Sarma @abhsarma.bsky.social · 11/06/2024

Can we make using SPSS (or other proprietary software) for analysis in papers be grounds for desk rejection? (I am only slightly joking)

050