🧠 What sticks in your memory after seeing a chart? Don't miss "Modeling and Measuring the Chart Communication Recall Process" at #EuroVis2025 ft. myself, @chrisbryanASU , and Lace Padilla! We model how people recall visualizations—second by second—showing how design, semantics,

The world’s most prestigious human–computer conference begins this weekend, and a record number of Khoury researchers — along with their CAMD, Bouvé, CoS, and CPS collaborators — are ready to go. For more about their work: https://t.co/u0hxSK0pQE

Have you ever wondered how bilingualism shapes reader preferences for annotated charts? Don't miss "Lost in Translation" at #CHI2025 next week ft. Anjana, Chris, and Lace ! https://t.co/Zm3A9Urf7N Weds. April 30th at 10:12am #language #DataVisualization #linguistics

🎓🎓🎉🎉Very cool to see my first two @SCAI_ASU PhD graduates this week, Drs. @JinbinHuang and @ArunkumarAnjana

🎓 Thrilled to walk at @ASU commencement this week! Honored to receive the Dean’s Dissertation Award 🙌 @ASUEngineering @SCAI_ASU Huge thanks to my amazing committee @chrisbryanASU, @RossMaciejewski, @cbaral, Gi-Yeul Bae—this milestone wouldn’t have been possible without you!🌟

We learn more from reading on paper than on screens. 54 studies, 171k people: we process print more deeply than digital content—as long as it's informational rather than purely narrative. The paper advantage holds across ages and has grown over time. Long live physical books.

Wher does your mind wander when you look at a visualization? 😶‍🌫️ Catch @LacePadilla, @ArunkumarAnjana, and Chris Bryan's paper on vis design methods: "Mind drifts, data shifts" Thursday at 1:30pm EST https://t.co/IFw9GgcKua https://t.co/ifZg5lz16Y #IEEEVIS #Psychology

Where does your mind wander looking at charts? Let’s do a little experiment! Check out our paper Mind Drifts, Data Shifts in the Visualization Design Methods track!📅Oct 17, Thurs, 12PM EST @ieeevis @LacePadilla @chrisbryanASU #ieeevis #datavisualization 🔗 https://t.co/ohhu0NCwmT

Great energy at EnergyVis24 discussing communicable platforms for rapidly evolving technical, meteorological, and stakeholder landscapes around energy systems! #IEEEVIS #energyvis #datavisualization @ieeevis @GruchallaKenny @LynBartram @sgeoviz @ArnaudProuzeau

Vis lab newcomer @arunkumaranjana is a workshop organizer of EnergyVis on Monday afternoon! Workshop link: https://t.co/ftHmJe8nlQ Conf. link: https://t.co/rIinYRJoCV #Energy #Power #Electricity #Wind #Solar #ClimateChange #DataVis #ieeevis @ieeevis

So excited to start on this next chapter! 🥳@LacePadilla @KhouryVIS

Thanks for all the support! Feels great to finally be called a “Duck-tor” 😃

I am on the job market. Please spread the word! Here is my profile: https://t.co/wj7Mxk03Xg #NLProc #Job

I heard about this Dashboard Design Patterns paper, and man, it's cool. One of the hardest parts of gathering requirements for anything is getting two people to imagine the same end outcome. I'm now realizing how often that's true for dashboards

Excited to talk about the "Effects of Visual Reconfiguration in Supply Chain Forecasting" at #dsi2022 Always great to hear different perspectives on vis usage in the wild! #decisionsciences #SupplyChain https://t.co/WTakQPRaHZ

Can a language model help you with your math homework? Not on its own, but maybe with the help of a Python interpreter! In our EMNLP paper we present 📜 Līla and 🤖 Bhāskara, a math reasoning benchmark and model. 📄: https://t.co/7AmgciLV44 🔗: https://t.co/gmWiFBY4m1 1/🧵

➗Lila: a mathematical reasoning benchmark consisting 23 tasks covering mathematical abilities, language format, language diversity and external knowledge. It's an extension of 20 datasets by collecting Python programs’ task instructions and solutions. https://t.co/DbaL9KSsNB

My student @ArunkumarAnjana presenting a novel visualization technique for tracking anomalous events in power grids, from her paper “PMU Tracker: A Visualization Platform for Epicentric Event Propagation Analysis in the Power Grid.” Her first full paper at @ieeevis!

How do image classification models work? @JinbinHuang presented a visual analytics approach, ConceptExplainer, to explain concepts extracted from deep neural networks. Interactive visualizations help users explore the concept space and understand the model behavior #ieeevis

One of my favorites from Make-A-Video 😆: "Rubber duck aliens visiting the Earth for the first time" #MetaAIMakes