In “Collaborators,” Siddharth Suri and David Holtz give a brief history of prompt engineering, discuss the debate behind their recent collaboration, and share what they found from studying how people’s approaches to prompting change as models advance. https://t.co/5YHvSS7F4R
Calling all #DataScientists! The Venture Program SysBio Initiative has announced a new award that will integrate diverse #datasets collected through the #AcceleratingMedicinesPartnership.
See how this work can impact your future research: https://t.co/PlPtwMjnhE
🎦 Watch the recording of Madelon Hulsebos's seminar at BIDS!
"There is actually a lot of structured data available on the web.... But really, the task here is that we should be able to retrieve that easily."
#datascience#structureddata#dataretrieval
https://t.co/u7KiboJEt4
Human culture will be affected by LLMs. Here’s my paper on how to assess the cultural imaginary in humans and machines.
I present an experimental paradigm that compares how humans and LLMs write stories to the exact same prompt.
The paper shows how humanities, and specifically literary studies, combined with experimental and computational approaches, offer answers to pressing questions about human culture in the age of LLMs.
Now published in Humanities and Social Sciences Communications.
Prof. Tim Tangherlini recently joined the I School with a joint appointment in the Department of Scandinavian! 🤩
We spoke to Professor Tangherlini to learn more about the field of cultural analytics and his current research.
More:
https://t.co/wDajNYcZgO
.@NIH announces funding for "Building Sustainable Software Tools for Open Science". Aims to enhance research software sustainability, promote best practices, and foster partnerships. Advancing FAIR principles in open science.
First deadline: Dec 4, 2024
https://t.co/NFUNhc4bk3
📰 UCSF News profiles the CPH PhD program, talking to faculty, students and staff about leading a world-class PhD program and a center with transformative real-world impact. https://t.co/zUjmlbncqK #CPHPhD@alexmschubert@idasim@wolfenyc
Join us for BSTARS 2024, a gathering for the Berkeley Statistics department and friends, featuring a keynote speech by Distinguished Professor Bin Yu!
November 14, 2024 - 1 p.m. - Memorial Stadium - Berkeley, CA
Info and registration: https://t.co/zptJEJDeXL
#BerkeleyStats
🚀 Register for our new Open Science 101 Course! This free, one-week program covers everything from open data to collaborative research practices.
🎓 Earn an Open Science Certificate from NASA.
📅 2024 Dates:
October 21-25
November 11-15
December 2-6
https://t.co/lQzAqFRlHH
September 16-22 is #OpenScienceWeek - BIDS is a home for Open Science, Open Source and more broadly, Open Scholarship. Hear more from BIDS Faculty Director @fperez_org :
https://t.co/hKCe31jCTB
UCSF and Berkeley faculty working at the intersection of the computational and health sciences now invited to apply to the CPH AGG! We are a dynamic community advancing computational research to transform health care practice, policy and equity--join us!! https://t.co/Ul7ijJbQUs
UCSF and Cal colleagues: Mark you calendars for Sept. 17 4-5 pm to hear @bbiinnyyuu deliver the year's first CPH seminar on y increasing predictability, computability and stability in the health data science life cycle. Via Zoom: Register here! https://t.co/cZR8qcxibD
After many months of work we are excited to announce the new Jupyter Book!
https://t.co/WzaJXaku6j
This is a complete re-write of Jupyter Book to make it more modular, powerful, customizable, and easy to use. See this 🧵 for some highlights!
Calling AI innovators: join our climate hackathon! 👨💻👩💻
This is your chance to make a difference. Submit your solutions and help Brazilian cities adapt to climate change.
🗓️Mark your calendars - submissions will be open from July 29th to August 17th.
👉https://t.co/p4O6DbeMbh
Kyla Bourne (BIDS-Accenture Data Science Research Scholar) recently presented at the Law and Society Association annual meeting. She and 4 colleagues organized a panel on socio-legal evidence. @law_soc#datascience
https://t.co/xWavSmWg1M
Our book "Veridical data science" (Yu and Barter, forthcoming MIT Press) is reviewed by Yuval and Yoav Benjamini in Harvard Data Science Review (HDSR) (https://t.co/ihG9A9Djeb). The book is available at https://t.co/hKMnlrAh6i.