So appreciated this #NYCDHWeek22 session with Barnard College DHC, utilizing the Oracle for Transfeminist Technologies deck from CodingRights and Design Justice Network | designjustice.org to reimagine technologies toward inclusive and abundant futures 🔮

This week! Join us online on March 10 for "NYC Crime Statistics and the Politics of Open Data," a free educational lecture by ..., plus a conversation with Andrea Ritchie also @dreanyc123.bsky.social. Put the headlines and discussions about crime and crime data in perspective: bit.ly/March10CrimeDa…

It's me on the Industry Documents Library blog 🤓 So excited to spend the summer working with this fabulous team to create guidelines for researchers utilizing video transcriptions as textual data broughttolight.ucsf.edu/2022/06/

Thank you NEASIS&T for supporting my attendance of the 2022 ASIS&T annual meeting!

This past semester, my fellow Digital Humanities Certificate students and I endeavored to represent aspects of the data lifecycle that are obscured by traditional methods of visualization - you can read more about this living, breathing, project here! studentwork.prattsi.org/data-viscerali…

📢 The Data Vis lab WPI is hosting a virtual panel on Charts Across Cultures! 📍Wed. March 1st, 9 - 11:30 am ET Register to join a discussion about the impact of language & culture on data vis & design, w/ panelists Peiying Loh dietmar offenhuber Jessica Bellamy (any/all/y’all) attilabatorfy.bsky.social 🧵 Link👇🏽

Very excited to be presenting this work HASTAC 2023 Conference this June at Pratt Institute alongside Jrska, Ava K, Carol Choi, and John Decker!

Does anyone have engaging resources they love for beginners learning SQL? Preferably video-based?

This is brilliant and a great illustration of how the difference between calculus and statistics is one of instructional approach rather than concept. Same with algebra and geometry

Excited to present with my brilliant colleagues Lubov McKone Lubov McKone, MSLIS Ava Kaplan Ava K , Carol Choi, and John Decker at the 2023 NEASIS&T annual conf! #dataVisceralization #DataLiteracy #datafeminism #dataAccess

🙂: Got tips about how to not objectify vulnerable communities in #DataViz? Me: 😊The people experiencing the problem are co-investigators and your focus should be on the people and institutions creating, maintaining, and economically benefiting from the problem.

NYT "AI" explainer misleads. Deep learning techniques date from the 1980s, & "AI" had been hot/cold for decades, not slow until 2012. There was no new "single idea" in 2012. What WAS new, & propelled the AI boom, was concentrated resources (data/compute) controlled by tech cos 1/

If you ever need a clear, accessible tutorial for time series analysis in Python on-hand, this is IT 👏🏻towardsdatascience.com/time-series-an…

“Should we be using AI to fill in missing data?” If the AI is a blackbox then ABSOLUTELY NOT! Modifying your raw data is a serious thing. You want to do it via a controlled and well-understood process. AIs like ChatGPT are currently none of those things.

I've been explaining how, for Computer Scientist women, picking up more skills means the others are erased & you're further demeaned. I started programming at ~10. Trained my first model when I was ~21 (without ML packages). Worked in "AI" for ~15 years. I have a doctorate in CS.

Thank you Kaylee and all who came to our #DLFForum session and brought great questions!

Request for comments: #IFLA #AI SIG is working on a #library strategic response to artificial intelligence. You can take part to build the version 2.0! ifla.org/developing-a-l…

Save the dates for DH 101: Static Sites Edition this semester! This course will be led by A., @jmjafrx, @EmMcGinn, and Laura Konisek. The Diaspora Solidarities Lab

There's real dissonance between the tech industry’s excitement about AI and the technology's unwanted outputs — and between the “empowering feeling of using new AI tools and the far more common experience of having AI tools used on you,” John Herrman writes. nymag.com/intelligencer/…