Alex Kale

@kalealex.bsky.social

Assistant Prof of Computer Science and Data Science at UChicago. Research on visualization, HCI, statistics, data cognition. Moonlighting as a musician 🎺 https://people.cs.uchicago.edu/~kalea/

I'm extremely excited to share this new paper out of the Data Cognition Lab! In it @krisha-mehta.bsky.social, Gordon Kindlmann, and I reframe visualization as a mechanism for data disclosure and develop a vocabulary for how visualization design induces loss on underlying data signals.

Krisha@krisha-mehta.bsky.social · 12mo ago

I am excited to share a new paper titled “Designing for Disclosure in Data Visualizations” set to appear at IEEE VIS 2025 (link below). 1/n

Today, along with 2,000 other NIH employees, I had to clear out my office 😭 It was truly the honor of my life to work with such incredibly passionate people focused on improving human health. I’ve never experienced a more positive culture where *everyone* cared about their job and serving others.

Office desk without any personal items or decor

I wish more HCI research was this careful about measurement. If we do turn the corner, I think we’re gonna find out that a lot of our study results don’t mean what the authors originally said they meant.

George Wu@geowu.bsky.social · last yr.

A new working paper with Daniel Banki, @urisohn.bsky.social and Robert Walatka, just submitted to SSRN. The paper is comment on Ryan Oprea's recent AER paper. The paper is processing, but you, my friends, get early entry. papers.ssrn.com/sol3/papers....

Title Authors Abstract (Decision under Risk are Decisions Under Complexity: Comment)

What tech company will be the first to stand up and say that gutting the NSF is bad actually? The economic argument seems pretty clear Less NSF --> fewer PhD students --> fewer researchers --> smaller AI tech pipeline --> slower progress --> less competitive globally

“The executive orders make it quite clear that certain DEI activities are considered to violate current law, and we cannot fund anything that includes activities deemed unlawful.” Okay, but until a few weeks ago, promises about DEI were required. Idk how any of our grants survive this litmus test.

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Somewhere in the U.S., there’s a scientist staring at their NSF/NIH grant application wondering why they bother. This post is for you. Science and society both need you. Hang in there and know there is a whole community supporting you.

Anyone know how to turn off the AI assistance feature in Overleaf? I didn’t want this. I didn’t consent to this. I find the suggestions distracting in a way that basically makes the tool unusable for deep work. Am I alone in feeling this way?

This is so upsetting. I have two grants out for review, basically my whole summer worth of effort scuttled. Multiply this by thousands of scientists whose time and ideas are being thrown away. It’s especially concerning for early career researchers whose futures depend on securing funding.

Carl T. Bergstrom@carlbergstrom.com · 2y ago

I don’t have a definitive source on this yet but it looks like NSF review panels have been canceled. Sixty-some years ago, Eisenhower transformed higher education because he viewed a science education gap as the single greatest threat to national security. This is absolutely an act of sabotage.

Just because I keep seeing the "replications show which effects are real" or "effects that didn't replicate once are flukes" heuristics repeatedly showing up on my TL today, I'm re-upping this thread. I beg everyone to please stop searching for quick and conclusive judgments on what's "true".

Berna Devezer@devezer.bsky.social · 3y ago

1. Reproducibility is not a generally reliable indicator of particular issues in a field. The problem as we understand is to expect high levels of reproducibility unconditionally, regardless of the specifics of the scientific field. We need to calibrate our expectations.

The distinction @jessicahullman.bsky.social makes between 1st and 2nd order uncertainty is important to understanding prediction vs inference. Conditional predictive performance (1st order) can be checked, but whether we’ve learned the right distribution (2nd order) is what we need to generalize.

AAndrew Gelman et al.@statmodeling.bsky.social · 2y ago

Calibration “resolves” epistemic uncertainty by giving predictions that are indistinguishable from the true probabilities. Why is this still unsatisfying? statmodeling.stat.columbia.edu/2024/12/31/c...

How wrongheaded to think that “engagement” without communicative intent will keep actual people on a dying platform. Meta is phoning it in at this point. This bit about appealing to younger audiences is either wishful thinking or a blatant lie to assuage nervous investors.

Culture Crave 🍿@culturecrave.co · 2y ago

“We expect these AIs to actually, over time, exist on our platforms, kind of in the same way that accounts do" They think this and other AI products they are rolling out will help attract and retain a younger audience www.ft.com/content/9118...

This guy chased me off of the psych methods Facebook group about 10 years ago. I’m not surprised to hear others had issues with him. You really don’t want to be remembered by your colleagues primarily for verbal abuse. What an unfortunate way to live.

Jim Coan@jimmycoan.bsky.social · 2y ago

"Coyne’s blogs were verbose and erratic, often veering into personal attacks. He freely fabricated conspiracies and leveled baseless accusations that obscured whatever legitimate critiques he might have had."