| Web | http://drsherrirose.org |
I'm hiring an Open Science Rigor & Reproducibility Software Developer at Stanford!
Great mix of work developing best practices, coding, and independence to propose new initiatives.
https://careersearch.stanford.edu/jobs/open-science-rigor-reproducibility-software-developer-2-23129
Hybrid & remote eligible within the United States.
Join us virtually for an incredible posit::conf(2023) experience!
We are thrilled for an online experience that brings together #RStats and #Python industry leaders, experts, and enthusiasts from around the world.
Virtual networking begins on September 17, and the live keynotes and talks stream on September 19-20.
• Register now: https://posit.co/conference/
• Check out our blog post for details: https://posit.co/blog/posit-conf-2023-virtual-experience-registration/
We can't wait to see you there!
Our piece on the use of pediatric data in AI & machine learning: https://www.nature.com/articles/s41746-023-00898-5
This framework can be imbedded in existing guidelines that do not currently consider children as a special population or applied independently. Covers key issues like consent, generalizability & more.
ACCEPT-AI is a framework of recommendations for the safe inclusion of pediatric data in artificial intelligence and machine learning (AI/ML) research. It has been built on fundamental ethical principles of pediatric and AI research and incorporates age, consent, assent, communication, equity, protection of data, and technological considerations. ACCEPT-AI has been designed to guide researchers, clinicians, regulators, and policymakers and can be utilized as an independent tool, or adjunctively to existing AI/ML guidelines.
📣WE'RE HIRING @[email protected]! 📣
Position: fellow in responsible computing
FT one-year contract, remote US, $90k/year
This is really a special team to work with on so many important issues. Humanities expertise esp welcome. Feel free to share widely! https://boards.greenhouse.io/mozilla/jobs/5025651
Are you interested in:
📈data fusion
➡️ generalizability & transportability
🧮 4 new estimators
💲understanding Medicaid plan effects
📑 a 43 page appendix
then our new paper published in Biometrics is for you!
https://onlinelibrary.wiley.com/doi/10.1111/biom.13863 🔓
#MachineLearning #CausalInference #Statistics #Econometrics #HealthPolicy #Economics
I’ll be giving the Data Science in Public Health Distinguished Lecture at Columbia Mailman School of Public Health this Thursday at 1pm Pacific via zoom.
My lecture is titled “Algorithmic Bias and Machine Learning in Health Care.”
Register here if you’d like to join! https://columbiacuimc.zoom.us/webinar/register/WN_3sj6u1ofTaKQfTBv_auFsw
Presented by the Columbia Mailman School of Public Health ALGORITHMIC BIAS AND MACHINE LEARNING IN HEALTH CARE Sherri Rose, PhD Professor of Health Policy Co-Director of the Health Policy Data Science Lab at Stanford University
Attn #facct @facct folks - #iSchool, #MediaStudies, #STS, and other folks interested in the social implications of tech:
We're hiring a two year postdoc at Haverford. Please boost and help get the word out! I'm looking forward to having an awesome new colleague - maybe it's you or someone you know?
Deadline: Jan 12.
Apply here: https://apply.interfolio.com/118068
Happy to answer questions!
(reminder) APPLICATIONS DUE Tuesday 10 January 2023:
New #NSF-funded program in #AIEthics and #DataEthics at #NortheasternUniversity!
We'll bring in cohorts of approx. 10 #philosophy (or related) graduate students to #Boston for 10 weeks for each of the next 3 years (beginning this year) for training in #AIEthics and #DataEthics from our faculty and visiting scholars.
$12k stipend per student
More details+application info for summer 2023 at the program website.
https://cssh.northeastern.edu/ethics/summer-grad-training-program/
This summer school is intended for graduate students with advanced training in applied ethics, ethical theory, philosophy of science, or other areas with potential research applications to AI and big data who would like to develop research capacities in the ethics of artificial intelligence (AI), data ethics, and the philosophy of technology. Designing AI and […]
🚨 Call for Papers 🚨 Excited to get things started for #EWAF2023 We're looking for interdisciplinary research focused on algorithmic fairness in the European context. Join us from June 7 to 9 in Switzerland 🇨🇭 Submission deadline on Feb. 9 🤖
Posit
Crystal Lee
Neal Patwari
sorelle
Vance Ricks
EWAF