We picked the wrong guy.

All of a sudden, Mitch McConnell is "worried" about giving a $2,000 check to someone who "doesn't need it." That's funny. He had no problem giving a $560 million tax break to Sheldon Adelson who is worth $34.3 billion. Total hypocrisy! Let the Senate vote on $2,000 now, Mitch!

😢😢

DOOM died the year we all had to wear masks

RIP MF DOOM THE SUPER MF VILLIAN 🤲🏾✨

Congratulations to the 13 #ScienceTerps who received prestigious U.S. National Science Foundation graduate research fellowships! @NSFGRFP Fellows receive 3 years of financial support in the form of an annual stipend and an allowance for tuition and fees. cmns.umd.edu/news-events/fe…

New paper out in Frontiers - Ecology & Evolution with Tyler Hoffman, Kirtus Leyba and Bill Fagan! We look at environmental and biological factors affecting the evolution of perception using an agent based model. Thanks to Santa Fe Institute CSSS for helping initiate the idea. doi.org/10.3389/fevo.2…

I was featured on NumFOCUS' Google Summer of Code wrap-up post! Had a wonderful experience working with The Python Spatial Analysis Library (PySAL) -- highly recommend to anyone interested in spatial data science! numfocus.medium.com/numfocus-7th-t…

Amazing presentation today at ACM SIGSPATIAL from @GIS_Manipulator on urban growth and flood risk via geosimulation and hydrodynamic modeling! Cannot wait to see the final paper

The winners of our Green Space Data Challenge have been announced! Learn more about the challenge winners and save the date for an upcoming APDU webinar on April 17, featuring the winning projects. bit.ly/3JW1rwH

How does access to green space impact gentrification? Our project, selected as one of the winners from McCourt School Massive Data Institute (MDI)’s Green Space Data Challenge, can begin to answer this question! bit.ly/3yYke4k Amy O'Hara #mdi (with Timara Crichlow and Shaylynn Trego)

I’m excited to share that I have been selected as the 2nd place winner of the Spatial Analysis and Modeling Group - AAG 2023 John Odland Student Paper Competition! Stay tuned for the full paper! #AAG2023

In 2nd place was Tyler Hoffmann Tyler Hoffman of SGSUP at ASU SPARC at ASU with the paper “Controlling for spatial confounding and spatial interference in causal inference: Model selection advice from a computational experiment”

After regularly using the UCGIS Body of Knowledge for years, I'm proud to give back to the project with Peter Kedron! Our entry about spatial autoregressive models can be found here: gistbok.ucgis.org/bok-topics/spa…

Thanks Jiaxin Du for inviting me to give a talk next Thurs at Texas A&M's Urban AI Lab on causal inference for spatially confounded data. All are welcome to join! See this link for the abstract and connection details: urbanai.tamids.tamu.edu/2023/04/28/bui…

Robust statistical methodology is fundamentally difficult. Even a seemingly simple analysis requires substantial investment in time and energy. It requires consistent collaboration between statistical experts and domain experts and not supposed black box tools.

CmdStan 2.33 release candidate is now available. The next release will bring a new language type - tuples, a new Variational Inference algorithm - Pathfinder, new functions and other improvements. 1/2