Data science @UChiUrbanLabs. Maybe a future left wing for the NY rangers (I'm open to right wing if need be).
Brooklyn, NY
Joined July 2009
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Greg Stoddard retweeted
Here's the story of a city's response to spiking gun deaths. Of READI Chicago—an ambitious effort to build & study a program of jobs & CBT for the men most likely to shoot or be shot. Of HUGE success by some measures (64% fewer shooting & homicide arrests!) & no impact by others.
Greg Stoddard retweeted
Forthcoming in the AER: "Not Too Late: Improving Academic Outcomes among Adolescents" by Guryan, Ludwig, Bhatt, Cook, Davis, Dodge, Farkas, Fryer Jr., Mayer, Pollack, Steinberg, and Stoddard. aeaweb.org/articles?id=10.12…
Greg Stoddard retweeted
(please retweet) I am taking CS PhD students! If you are interested in ML, data science, health, or inequality, please apply to Cornell :)
We have an island campus in New York City and a fantastic group of students I feel lucky to collaborate with every day. Join us!
Greg Stoddard retweeted
HIRING: #CrimeLab is seeking a Research Manager for our NY office to work on large-scale social policy experiments. Learn More at: ow.ly/wMkc50I1HhC
Greg Stoddard retweeted
The University of Chicago Crime Lab is in the market for a new Research Director! This would be an ideal job for someone who will finish their PhD in Spring 2022. As a Crime Lab alumnus, I could not recommend this job more highly. Short thread 👇
urbanlabs.uchicago.edu/attac…
Greg Stoddard retweeted
ICYMI: The report where we unpack the trajectories of the dwindling percentage of students in Chicago Public Schools who don't graduate and their trajectories and experiences throughout the school system: urbanlabs.uchicago.edu/attac…
Greg Stoddard retweeted
So proud of our team for creating this important resource.
This Post is from an account that no longer exists. Learn more
Greg Stoddard retweeted
My favorite statistical distribution is the Dirichlet (pronunciation: deer-in-a-chalet) distribution.
Greg Stoddard retweeted
If people just understood what a fucking denominator was, we could solve a lot of social problems.
Greg Stoddard retweeted
Tweeps: I’m writing for serious help. @policingproject is doing great work but deeply needs to fill three positions. I’ll put each in its own subtweet. Please please retweet if you think your followers would be interested? And mention them to good candidates?
Greg Stoddard retweeted
Use your data science skills for good: smeqa.usds.gov/info/data-gov…
Greg Stoddard retweeted
Interested in policing research? Come work with me! I’m hiring a FT data analyst for a 2-yr term. Work out of @UChicagoLaw with me & @BenGrunwald @DukeLaw. Great prep for law/grad school, legal academia. Please share & apply! uchicago.wd5.myworkdayjobs.c…
Greg Stoddard retweeted
The applied AI Center @UChicago is hiring predocs.
Apply a range of empirical tools (ML, causal inference, generative models, ontologies) to interesting problems (e.g. in health, education, discrimination..even baking)
Join us before econ/stats/CS PhD! bit.ly/2HF7Z5t
Greg Stoddard retweeted
Alright folks, here is the mega blog post.
"The Good, The Bad, and The Bye Bye: Why I Left My Tenured Academic Job"
reyammer.io/blog/2020/10/03/…
Enjoy :-)
Greg Stoddard retweeted
THANK YOU FOR EVERYTHING!
15 years ago, I played my first game for @NYRangers I came here with high hopes and big dreams but in my wildest imagination, I could never have pictured the amazing ride that lay ahead..
Greg Stoddard retweeted
“I want you to use my words against me. If there’s a Republican president in 2016 and a vacancy occurs in the last year of the first term, you can say Lindsey Graham said let’s let the next president, whoever it might be, make that nomination."
Greg Stoddard retweeted
“While researchers try to outdo one another on benchmarks, 1 in every 9 people is starving.” But the word “application” seems to spoil a paper for reviewers in machine learning.
Why I think the #ML community should prioritize more applications research:
technologyreview.com/2020/08…
Too much research applying machine learning to real-world problems is marginalized in the AI community. This is preventing AI from living up to its promise of solving the world’s biggest challenges, writes @hannah_kerner. technologyreview.com/2020/08…
Greg Stoddard retweeted
Mind-blowiny beautiful writing by @dgrobinson on how evaluating people with algorithms can be both useful and really miss the mark sometimes.
oreilly.com/radar/reclaiming…
Greg Stoddard retweeted
If hundreds of scientists created predictive algorithms with high-quality data, how well would the best predict life outcomes? Not very well. Fragile Families Challenge: paper in PNAS w 112 authors doi.org/10.1073/pnas.1915006… & Special Collection of Socius journals.sagepub.com/topic/c…
Greg Stoddard retweeted
The scikit-learn **gallery** has some fantastic content! For example this one on common pitfalls in interpreting the coefficients of linear models scikit-learn.org/dev/auto_ex…
