Reminder, join the Center on 9/13 for a discussion about scholars and advocates who are using machine learning to review & evaluate thousands of CA parole hearing transcripts to identify patterns of systemic bias & advocate for policy reform. RSVP: https://t.co/u6LbivpxYm
Reminder, join the Center on 9/13 for a discussion about scholars and advocates who are using machine learning to review & evaluate thousands of CA parole hearing transcripts to identify patterns of systemic bias & advocate for policy reform. RSVP: https://t.co/u6LbivpxYm
A new motion capture system, funded by @WuTsaiAlliance & @GoDucks, generates biomechanical data to measure the movement of athletes. The goal is to give coaches & athletes better information & improve lives #DataScientist#sports
https://t.co/j5cQCUKGpB
Are you a runner? A research team from @uoregon specializing in the advancement of human performance is looking for runners of any skill level, age 18 and older, to participate in a 45-minute study. #researchstudy Learn more: https://t.co/8rKHACmqAT
If you’re at the American College of Sports Medicine conference, don’t miss Prof. Mike Hahn (@Hahn_BSSC) in session G-53 with a talk titled "Use of Wearable Sensors and Machine Learning to Predict Running Performance" at 3:50 pm in room 207. #KnightCampusBioE#uoregon
The best part of my job is getting to work with amazing people on a lot of fun projects. Here are some papers that came out in the last few weeks. 🧵
How Useful Are Tax Disclosures in Predicting Effective Tax Rates? A Machine Learning Approach:https://t.co/8JJ7aD3bzi
Thomas et al. demonstrate how to enhance GNSS measurements of earthquakes using deep learning.
Using an algorithm trained on simulated waveforms for large events, they can denoise High-Rate GNSS data for more accurate seismic measurements.
Read more: https://t.co/qMRMKkhnAb
As data scientists who pivoted from academia to building solutions to the #COVID19 pandemic, @Stickle_Beck, @JakeSearcy & Hannah Tavalire, provide a unique perspective on Frontline Data Science - using #DataScience in emergencies @uodatasci#pandemic https://t.co/45i2Jn7O3S
For the #DataScientists (and everyone else) at #CERF2023 - check out our session, Cross-scale approaches to understand ecosystem responses to global change! We welcome any and all methods looking across space and time. Abstracts due May 10! @Rssmith218
Our latest issue is out! Read it now starting with the editorial, "Data Science & Engineering With Human in the Loop, Behind the Loop, & Above the Loop" by Founding Editor-in-Chief @XiaoLiMeng1#HITL#DataScience@harvard_data@mitpress https://t.co/MdB577fmU3
Are you a Data Scientist interested in getting involved in times of crisis? Checkout @Stickle_Beck and my new article - Frontline Data Science: Lessons Learned From a Pandemic https://t.co/f2aXugeA8W
“Despite known sex differences, models of movement have been based on predominately male data sets.” Silvia Blemker @UVaM3Lab discusses why we need to develop computer models that incorporate female athletes. #2023WTAS
We are excited to kick off our inaugural Wu Tsai Human Performance Symposium and learn about the latest discoveries in #humanperformance! Stay tuned for updates #2023WTAS