I hadnβt seen an eating disorders/body image list so I made one! Absolutely confident that I have missed many people. Please say hi and share a paper/research topic to be added! bsky.app/profile/did:...
I hadnβt seen an eating disorders/body image list so I made one! Absolutely confident that I have missed many people. Please say hi and share a paper/research topic to be added! bsky.app/profile/did:...
Interested in learning more about the work we do at NORC at the University of Chicago? Check out the #NORCSky starter pack, which is full of lots of cool, smart people if I do say so myself π
go.bsky.app/DZuJkry
Check out our playbooks and give us feedback - weβll keep updating and adding over time.
Snapdragon Stadium in the rain during a soccer game
Snapdragon Stadium in the rain during a soccer game
The rain game on March 6 was one of the wildest sporting events I've ever attended. Puddles stopping the ball and everything. #woso #uswnt
And that's highly related to LLM evaluation in general. When outputs are long strings / conversations, how do we compare to some ground truth dataset and produce a metric value?
π highly recommend following @kumargarg.bsky.social and definitely take a look at this call if you work in AI and education. The Renaissance Team has a fantastic record of supporting pathbreaking work!
First post! We are announcing a new partnership with Walton Family Foundation focused on AI, learning science, and education.
Would love to get it out to education R&D nerds on here. renaissancephilanthropy.org/news-and-ins...
Renaissance Philanthropy is launching a new AI and education program to identify breakthrough ideas at the intersection of AI and learning science, with support from the Walton Family Foundation: renaissancephilanthropy.org/news-and-ins...
Pacific Ocean, Scripps pier, and Mount Soledad (La Jolla) seen from the Torrey Pines gliderport, San Diego, California. Paragliders in the sky.
Pacific Ocean, Torrey Pines bluffs, and Del Mar seen from a Torrey Pines park overlook, San Diego, California.
Spectacular weekend at Torrey Pines State Beach in San Diego
San Diego was about 19.5k, and Angel City and Portland just over 18k. Per www.sportspromedia.com/news/nwsl-re...
@arsenalwfc.bsky.social Arsenal; England's FA Women's Super League
Really proud of our San Diego Wave FC community: 2nd highest avg attendance of any women's soccer team in the world! sandiegowavefc.com/wave-fc-earn...
Jaclyn is amazing and you should all follow her
screenshot of an R script to download a selection of variables from the IPUMS ACS one year samples. The complete script is the following: library(tidyverse) library(ipumsr) dl_ipums_acs = function(vars) { acs_samples = get_sample_info("usa") |> filter(str_detect(description, "\\d{4} ACS")) |> pull(name) acs_extract_definition = define_extract_micro( collection = "usa", description = "ASEC data", samples = acs_samples, variables = vars ) acs_extract_submitted = submit_extract(acs_extract_definition) acs_extract_complete = wait_for_extract(acs_extract_submitted) acs_path = download_extract(acs_extract_submitted, download_dir = tempdir()) ddi = read_ipums_ddi(acs_path) micro_data = read_ipums_micro(ddi) micro_data } acs_vars = c("YEAR", "PERWT", "AGE", "RACE", "HISPAN", "STATEFIP", "CBPOVERTY") acs_data = dl_ipums_acs(acs_vars)
The @ipums.bsky.social API and associated #RStats package is so awesome and convenient.
Here's a example script to grab a selection of variables from all of the ACS 1-year samples
Huh. People tend to write down things that are notable. Corpuses are then the residuals of the human experience. So AI will by default produce things we least expect or are interestingly expressive (= art, hallucinations).
I was watching Brooklyn Nine Nine and reflecting on the absurdity and intensity of individual character choices and development. Hyper-expressive characters acting much more Extra than normal people would in the same situation with the same motivations. AI is learning humans-as-art in many ways.
NORC + the University of Arizona teamed up to find home a for Cosmic Explorer, a groundbreaking gravitational-wave observatory.
Find out how we're using General Social Survey data to pick the ideal spot for this deep space research hub and its community.
OK...the NWS Bot collection is now fully populated and ready to go. I'm sure bugs will come up along the way, but I think it is 95%+ stable.
There's an index page at nws-bot.us including a map (borrowed from NWS) to find the right bot for the area you want to follow.
If you'd like to learn more, our R&D program is learning-engineering-virtual-institute.org, our prize competition is tools-competition.org, and our listserv (just use the join request) is groups.google.com/g/learning-e... (scientists, technologists, funders, educators).
No, I was referring more to your comments about AI tutors in general, not Altman's huge claims. The learning science community generally isn't chasing the hype machine but is evaluating AI just like other education interventions. We really do care about rigorous research designs.
Learning scientists do care about this and the education research community is leading rigorous evaluation of tools that use advanced computation, from psychometrics to AI. See rori.ai/learning-out... for an early example.
New faculty posting for Cognitive Science & AI in Education at Minnesota: examinations of how people think & learn in relation to technology & AI; factors that influence learning/trust; design that incorporates cogsci theories; ethical & societal implications in education, incl. bias & data privacy
That's pretty funny. Silicon Valley Noir
What is posting if not a writer's dream deferred
I recommend her thoughts at substack.com/home/post/p-...
She was a SWE then, right out of grad school, before her UXR focus. Our team worked on personalization of Maps/Assistant. I focused on spatiotemporal links between queries and hierarchical user location tessellations to form non-MID place recommendations based on query patterns.
brenthecht.com is near DH, more on the CS/NLP side but very good contributions re: Wikipedia/Wikidata. Now a leader at Microsoft.
I interned with her at Google! She's amazing.
Not quite formula-as-words but close: old.maa.org/press/period...
Reminds me of old GroupLens research (e.g., dl.acm.org/doi/abs/10.1...). The old days when Wikimedia was the best & biggest corpus! Hecht in particular worked on embeddings from WP/WD IDs to their WP article language.