Russ Poldrack

@[email protected]
42 Followers
2.2K Following
275 Posts
Stanford Professor. Cognitive neuroscienist. Open/reproducible science. Bumbling guitarist.
Personal sitehttps://poldrack.github.io/
Githubhttps://github.com/poldrack/
Lab Websitehttp://poldracklab.org
Russ PoldrackAug 6, 2023
Clive ThompsonAug 5, 2023

Amazon is crawling with travel guides written by AI -- vague, crappy, and pushed up in search results by astroturfed fake five-star reviews: https://www.nytimes.com/2023/08/05/travel/amazon-guidebooks-artificial-intelligence.html?unlocked_article_code=Gmcb6fkRXSAX7JUdbTpFyhH1lSBWBcI0RuiXgcku3gVTdQV7s_SPvl1tKw76F_txTehAmHdU0bZ3PUoPyH0h-dybeb8_bGL7UzysZynt-SFcx9yByC4wr37_65cVodjr_Z-sRcqUfioeOsUAKJpEECejhG2SlL4jPCoaBG8PFnu_YLKDXA0hkzvhrJnGuD5kw59N8Bz7T7D7UOeJXLkowJnnoB6IDt6bHn6XiBvlH--t6M_9xmGCkNlYdtiiScdbS3ebGG5C3xKkCxwacaT96yLi9NK5dx9YHwhHSPdoVJPqslvVGAwQFvpSQvDvgHZGOFxW09EeUVAHYZl6uI-aSYS0_UfYhcXjDi6J2-M1oFlpWg&smid=url-share

That's a "gift" link so you don't need to be a New York Times subscriber to read it

It's a great investigation, and highlights the real problem, which is ...

... unsurprisingly by now, Amazon seemingly does little-to-nothing to stop this

The site is just soiled top to bottom with fake crap in every category

A New Frontier for Travel Scammers: A.I.-Generated Guidebooks

Shoddy guidebooks are flooding Amazon. Their authors claim to be renowned travel writers, but are they A.I. inventions? And how big is the problem?

The New York Times
Russ PoldrackAug 6, 2023
World Wide Web ConsortiumAug 6, 2023
On 6 August 1991, Tim Berners-Lee wrote to a newsgroup: "The WWW project merges the techniques of information retrieval and hypertext to make an easy but powerful global information system."
He noted "Try it" and the world was changed.
Thanks Tim!
https://www.w3.org/People/Berners-Lee/1991/08/art-6487.txt
Russ PoldrackAug 6, 2023

I may have discovered one of my favorite snacks ever:

- 2 tablespoons of natural peanut butter
- 1/4 bar of dark chocolate (broken into small pieces)
- 1/2 teaspoon of Fly By Jing
Sichuan Chili Crisp

Mix it all together and enjoy!

Russ PoldrackAug 6, 2023
Heading to Neurohackademy today - hope to see some of you there!
Russ PoldrackJan 11, 2023
Why NASA and federal agencies are declaring this the Year of Open Science https://www.nature.com/articles/d41586-023-00019-y @ChelleGentemann
Why NASA and federal agencies are declaring this the Year of Open Science

Here’s how NASA is incentivizing open science, and how you can too.

Russ PoldrackJan 6, 2023
ICYMI #NASA has named 2023 as the Year of Open Science https://nasa.github.io/Transform-to-Open-Science-Book/Year_of_Open_Science_Guide/readme.html - they are doing remarkable work in the open science domain, and you don't have to be a space scientist to get involved!
Guide to a Year of Open Science — NASA's Transform to Open Science Mission

Russ PoldrackJan 5, 2023
Judea Pearl''s year-end review of causal inference is always a fun read http://causality.cs.ucla.edu/blog/index.php/2023/01/04/causal-inference-ci-a-year-in-review/
Causal Analysis in Theory and Practice » Causal Inference (CI) − A year in review

Russ PoldrackJan 4, 2023
Daniel S. KatzJan 4, 2023

Is there anything different about the #FAIR principles for research software (#FAIR4RS, https://doi.org/10.15497/RDA00068) when working in an #HPC context?

I think the answer is no for findability and accessibility, but I'm less sure if this is true for interoperability and reusability.

FAIR Principles for Research Software (FAIR4RS Principles)

To improve the sharing and reuse of research software, the FAIR for Research Software (FAIR4RS) Working Group has applied the FAIR Guiding Principles for scientific data management and stewardship to research software, bringing together existing and new community efforts. Many of the FAIR Guiding Principles can be directly applied to research software by treating software and data as similar digital research objects. However, specific characteristics of software — such as its executability, composite nature, and continuous evolution and versioning — make it necessary to revise and extend the principles. This document presents the first version of the FAIR Principles for Research Software (FAIR4RS Principles), and includes explanatory text to aid adoption. It is an outcome of the FAIR for Research Software Working Group (FAIR4RS WG) based on community consultations that started in 2019. The FAIR for Research Software Working Group was jointly convened as a Research Data Alliance (RDA) Working Group, FORCE11 Working Group, and Research Software Alliance (ReSA) Task Force. The RDA Software Source Code Interest Group is the maintenance home for the principles. Concerns or queries about the principles can be raised at RDA plenary events organized by the SSC IG, where there may be opportunities for adopters to report back on progress. The full maintenance and retirement plan for the principles can be found on the RDA website.

Zenodo
Russ PoldrackJan 4, 2023
NIMH Creates Publicly Accessible Resource With Data From Healthy Volunteers - with data shared via OpenNeuro! https://www.nimh.nih.gov/news/research-highlights/2023/nimh-creates-publicly-accessible-resource-with-data-from-healthy-volunteers
NIMH Creates Publicly Accessible Resource With Data From Healthy Volunteers

The NIMH Healthy Research Volunteer Study aims to build a comprehensive, publicly accessible resource with a range of brain and behavioral data from healthy volunteers.

National Institute of Mental Health (NIMH)
Russ PoldrackJan 4, 2023
Patrick S. ForscherJan 4, 2023

"A Roadmap to Large-Scale Multi-Country Replications in Psychology"

https://online.ucpress.edu/collabra/article/8/1/57538/195044/A-Roadmap-to-Large-Scale-Multi-Country

I'm loving the increase in scholarship on big team science!

A Roadmap to Large-Scale Multi-Country Replications in Psychology

Classic findings from psychology and the behavioural sciences are increasingly being revisited. Methodological and technological advances provide opportunities to replicate studies across a wide range of countries and settings to investigate whether these findings are universally applicable, limited to specific countries, or vary in magnitude depending on settings. Researchers from around the world connect to revisit such findings collaboratively, adapt the original design to the Zeitgeist, integrate new knowledge to improve statistical analyses, and broaden the scope by testing effects globally – or at least in as many countries, as budget and feasibility allow. We currently observe multiple international consortia conducting large-scale multi-country replications. How do such collaborations form and how do they approach these complex investigations? This paper brings together researchers from different initiatives that conduct replications on an international scale to outline approaches and summarises what we have learned in applying them: Junior Researcher Programme (JRP), Psychological Science Accelerator (PSA), ManyBabies, Collaborative Open-science REsearch (CORE), and International Study of Metanorms (ISMN). We describe different ways for study selection, methodological approaches, statistical analyses, ethical issues, and most importantly, how the different collaborations formed and how team communication worked. We look in detail at challenges of including typically underrepresented countries in psychological science, not only in terms of data collection but also in making it possible for local researchers to contribute. This paper provides a structured insight into how different collaborations work and issues to consider for anyone who seeks to conduct a multi-country replication in psychology, or looking for additional perspectives to their existing plan. We close the article with a checklist built as a helpful tool for colleagues putting together their study protocols for such efforts – and invite them to collaboratively expand it in the future.

University of California Press