In Ottawa for #INC4? 🇨🇦
Attend our side event: "The Plastics Treaty as an Opportunity for Climate Action" TONIGHT at the Westin Ottawa! 🌎
Learn about the link between the plastics crisis and climate change and policy modeling tools. 📈
Register here: https://t.co/r466x7Rz8E
The key finding in our new research: it is actually *possible* to end plastic pollution. FOREVER. In this Treaty.
Please @UN#INC3 do not squander this once in a lifetime opportunity. For planet. For people.
https://t.co/bArXPqoREi
Actionable change in ending plastic pollution! Our latest work, partnering with UCSB, combines data, interactive tooling, and AI to make research in plastic pollution accessible to UN policy makers for next week’s #INC3#plasticstreaty meeting in #Nairobi
https://t.co/3GZCIqVpto
A great event with some great colleagues. Interested in science communication? Join for this free event on Berkeley's beautiful campus: https://t.co/5a4QnmJM0f
@svpino I work in ML & data viz. Just in case anyone is scrolling through nervously like me: Some FAANG, some start ups, some patents but I’ve only got a BS. PhD would have been great but wasn’t a good option at the time personally. It can work out without one!
Excited to have a recent article (looking at common challenges and solutions for cross-disciplinary data science projects) accepted into the @Mlearning_ai Medium publication!
https://t.co/SpNPycpFfy
Published a small medium post looking at common challenges in cross-disciplinary #datascience projects with potential solutions from information, interaction, game, and language design: https://t.co/AaAyIXzM7m
New #OpenSource project! Finally released https://t.co/VrrTRSaAsK after using it in a recent talk to show how data scientists model uncertainty in complex systems. Using start up options as an example, demonstrates Monte Carlo and Markov Chains in browser!
Got a post in Geek Culture! Looking at analogies between wayfinding design and data visualization: https://t.co/JL3PfCs3e9. #DataScience#DataVisualization
Releasing a little #opensource side project #DataVisualization exploring US income gaps by gender, race / ethnicity, and other dimensions using CPS microdata via @EconomicPolicy’s public extracts - https://t.co/D0gUz5ymAY