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Alex Kale

Alex Kale

@kalealex.bsky.social

1.3K followers 1.3K following 170 posts

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/

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Alex Kale @kalealex.bsky.social · Sep 19

I believe I’m known for:
- visual reasoning strategies as a lens for visualization eval arxiv.org/abs/2007.14516
- cognitive modeling of data interpretation arxiv.org/abs/2107.13485
- tools for meta-analysis arxiv.org/abs/2302.04739
- tools for modeling + visual EDA arxiv.org/abs/2308.13024

Voilà: Francis Gagnon @chezvoila.com · Sep 6

With the influx of dataviz people, let's do some re-intros. 📊

— What's your claim to fame? ✨ —

How might we know you already?
What have you done that we might have seen or read before?
What would help us remember how we came across you?

Don't be shy: it's helping us reconnect and remember you 💡

Alex Kale @kalealex.bsky.social · 8d

This paper is being honored with a Best Short Paper Award at IEEE VIS 2025! I'm truly grateful for the recognition and looking forward to discussing this work at the conference. #ieeevis

Alex Kale @kalealex.bsky.social · Aug 13

Announcing my forthcoming short paper at #ieeevis! In this solo-author work, I examine and critique the logic of generalization about decision support in visualization research. arxiv.org/abs/2508.06751

Toward a Logic of Generalization about Visualization as a Decision Aid

Visualization as a discipline often grapples with generalization by reasoning about how study results on the efficacy of a tool in one context might apply to another context. This work offers an accou...

Alex Kale @kalealex.bsky.social · Aug 14

Decision theory informs us more about what to show than how to show (or how people interpret vis in practice), so I think theory building efforts need to synthesize it with theories of perception, cognition, and social/cultural dynamics.

Alex Kale @kalealex.bsky.social · Aug 14

My suggestion about using decision theory as a deductive framework during design studies is one path toward codifying what we know about decision context in ways that may be useful for making testable predictions about when a particular vis design is likely to be effective.

Alex Kale @kalealex.bsky.social · Aug 13

Thanks Carlos, I didn't realize Gordon was on here.

Your work on AVD was a huge inspiration for this paper. I'd be curious to hear your thoughts on the connects we draw between disclosure and AVD vulnerabilities.

Alex Kale @kalealex.bsky.social · Aug 13

Ultimately, this paper is about the epistemology of data communication. I close with reflections on how to develop a more robust logic of generalization about decision support, and how social norms demanding that research yield guidelines that transcend context are an obstacle.

Alex Kale @kalealex.bsky.social · Aug 13

This work demonstrates the conceptual value of decision theory in visualization research and practice, and provides a primer for unfamiliar readers. My hope is that this will increase the adoption of ideas from decision theory in the visualization community.

Alex Kale @kalealex.bsky.social · Aug 13

I draw on decision theory to analyze the heterogeneity in decision problems that are studied by visualization research. By comparing examples, I call attention to the dimensions on which decision problems vary and when we can(not) expect results to transfer to different settings.

Alex Kale @kalealex.bsky.social · Aug 13

The dominant logic of generalization in visualization research (often implicitly) holds a strong assumption that efficacy of decoding is relatively context invariant, however, much modern research problematizes this assumption. Where does this leave us?

Alex Kale @kalealex.bsky.social · Aug 13

In visualization research and practice, we care a lot about supporting decision-making. However, it's not always clear how findings from empirical research generalizes to various decision contexts.

Alex Kale @kalealex.bsky.social · Aug 13

Announcing my forthcoming short paper at #ieeevis! In this solo-author work, I examine and critique the logic of generalization about decision support in visualization research. arxiv.org/abs/2508.06751

Toward a Logic of Generalization about Visualization as a Decision Aid

Visualization as a discipline often grapples with generalization by reasoning about how study results on the efficacy of a tool in one context might apply to another context. This work offers an accou...

Alex Kale @kalealex.bsky.social · Aug 13

This ambitious conceptual/theoretical work is Krisha's first paper and my first PhD-student led paper at UChicago. It's a big milestone for both of us, and I think she's done a wonderful job! Check out the paper and the talk at #ieeevis for more. arxiv.org/abs/2508.08383

Designing for Disclosure in Data Visualizations

Visualizing data often entails data transformations that can reveal and hide information, operations we dub disclosure tactics. Whether designers hide information intentionally or as an implicit conse...

Alex Kale @kalealex.bsky.social · Aug 13

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 · Aug 13

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

Reposted by Alex Kale

Katie Sandlin @kmsandlin.bsky.social · Feb 14

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

Alex Kale @kalealex.bsky.social · Feb 7

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 · Feb 7

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)

Alex Kale @kalealex.bsky.social · Feb 6

Thanks to the wonderful folks at @dsi-uchicago.bsky.social for making this video!

Data Science Institute @dsi-uchicago.bsky.social · Feb 6

How can helping people think with data benefit society?

Explore the research of Alex Kale (@kalealex.bsky.social), Assistant Professor of Computer Science and Data Science at the University of Chicago!

www.youtube.com/shorts/8SkXI...

Can thinking with data benefit society? @UChicago #datascience #ai #airesearch

YouTube video by UChicago Data Science Institute

www.youtube.com

Alex Kale @kalealex.bsky.social · Feb 6

I also use that data set, but I ask students to encode all the variables in the table, which rules out a CDF because it doesn’t show the bacteria names. Unless they add the names with annotations. That could be cool. Avoiding occlusion and crowding would be a challenge.

Alex Kale @kalealex.bsky.social · Feb 5

Such a disappointment. It’s illustrative of a deep political problem on the left, a sort of allergy to disagreement or information that goes against one’s priorities. This just isn’t a workable approach in a democracy, especially not for a “big tent” party.

Reposted by Alex Kale

Mark Riedl @markriedl.bsky.social · Feb 5

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

Alex Kale @kalealex.bsky.social · Feb 4

Most of your life won’t go as planned. Stop placing your happiness, health, and self-actualization on the horizon.

luna @imlunahey.com · Jan 30

people over 30 quote this with some life advice for the rest of us?

Alex Kale @kalealex.bsky.social · Jan 31

My take is that the “pause” rhetoric is bullshit. They want to defund the universities, full stop. Idk why people are in denial that this is the game plan, to eviscerate centers of power on the left starting with educational institutions and government agencies staffed by lefty technocrats.

Alex Kale @kalealex.bsky.social · Jan 31

“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.

Alex Kale @kalealex.bsky.social · Jan 30

This is what I thought you were saying, that true marginal density estimation requires different samples, but I wasn’t completely sure. Thanks!

I think I’m guilty of misusing Monte Carlo integration in this way. Not 100% sure what to do differently, but I appreciate your explanation of the issue.

Reposted by Alex Kale

Dr Craig R McClain @drcraigmc.bsky.social · Jan 29

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.

Alex Kale @kalealex.bsky.social · Jan 30

A great thread if you’re into visualization for model interpretability and Bayesian stats!

Michael Boo-tancourt @betanalpha.bsky.social · Jan 29

Problems arise, however, when we try to communicate the structure of p( theta | tilde{y} ) when the parameter space contains more than a few dimensions.

Alex Kale @kalealex.bsky.social · Jan 30

I would like to know more about this too because it seems like this is how most people use posterior samples in practice.