1/ 🎙️Introducing "Decoding Causality" – a podcast unraveling the mysteries of cause & effect!
Season 1 explores causality through AI-driven conversations, inspired by The Book of Why by Judea Pearl & Dana Mackenzie. 🧵
3/ Watch audiograms & visuals on my new YouTube channel! 📺 👉 https://t.co/TG6g51a1LS
Find it insightful? Follow, share, or casually force a friend to listen. (No causal inference needed 😉) #DecodingCausality#Podcast#AI
1/ 🎙️Introducing "Decoding Causality" – a podcast unraveling the mysteries of cause & effect!
Season 1 explores causality through AI-driven conversations, inspired by The Book of Why by Judea Pearl & Dana Mackenzie. 🧵
2/ I’ve focused on the concepts this season, letting AI take the mic, but in Season 2, I’ll join as a host for deeper discussions! 🎧
Listen now:
🔹 Spotify: https://t.co/it7EpwSeLz
🔹 Apple: https://t.co/j1VQuaMBrN
🔹 Amazon: https://t.co/YvxmpP95QJ
🚶♂️📊 Excited to present at #TRBAM 103rd Annual Meeting!
🔹Lectern: "Imputing Time-Series #Pedestrian Data" w/ Dr. @singletonpa, Jan 09, 18:00-19:30, Convention Center 102B.
🔹Poster: "Pedestrian Crash Severity Analysis" w/ Drs. Arman & @singletonpa, Jan 10, 10:15-12:00, Hall A.
This hands-on experience changed my perspective on design & highlighted two key takeaways:1)Consider all road user needs, engage stakeholders & prioritize their needs, 2)Consider weather conditions in designs.3) update guidelines must consider their needs+emerging tech impact.
In this recent webinar, Dr Enrico Ronchi presents on an important safety topic of wildfires:
*Evacuation modelling for wildland-urban interface fires*
https://t.co/7udAW4R6fY
A/B Street is traffic simulator written in the programming language Rust. Has an interesting user interface and the capability to model pedestrians, bicycles and a lot more.
https://t.co/SqzWUjUf4v
After the last Mini-symposium for Pedestrian Research, here is a follow-up for PhD students and researchers in the pedestrian field. With my colleagues Lucia van Schaik and Martijn Sparnaaij from Active Mode Lab, TU Delft, we build an online community. 1/4
Happy to share the release of AgentPy 0.1.0, a package for agent-based modeling in #Python that integrates the tasks of model design, interactive simulations, numerical experiments, and data analysis within a single environment. https://t.co/okyF8FDuzL