I see that during my extended leave, my and Joel Wambua's talk for #AIMOS2022 was published on the AIMOS YouTube page.

This talk gives our emerging view of the "generalizability problem" in the behavioral sciences

https://www.youtube.com/watch?v=ySB4EjL8C8k

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AIMOS2022 Understanding and Addressing the Generalizability Problem in the Behavioral Sciences

YouTube
My talk at the #AIMOS2022 (Association for Interdisciplinary Metaresearch and Open Science) conference on how we can use video bibliographies and research transparency to create "time and motion studies of the mind".
https://youtu.be/GuC6COW5uaU?t=1080
https://www.reddit.com/r/Open_Science/comments/zgeshv/my_talk_at_the_aimos2022_association_for/?utm_source=ifttt
AIMOS2022 Lightning Talks 6 - Miscellaneous metaresearch

YouTube
Proud to see another @aimos conference done and dusted! I like to think the photo below shows me giving a rousing speech on the need to improve science, but I suspect I was just pointing out where the bathrooms are in the building #AIMOS2022
The metaresearch drinks menu, with @aidybarnett #AIMOS2022 #metascience #metaresearch
The murine International Brain Laboratory large-scale collaborations has a fascinating organization and decision-making structure, emphasizing avoiding much hierarchy. From a talk by IBL's Lauren Wool #Aimos2022

Just enjoyed a very thought-provoking talk by @AndyPerfors on metascience. He sketched a framework for seeing science as an information system, since it is a toolkit for searching through an "idea space" to find trustworthy information. As a librarian, a lot of this resonates with me! đŸ¤“

#AIMOS2022 #Metaresearch #Metascience #InformationSystems

That feeling when you're in Melbourne for 3 months only, and there's a cool conference happening at the same time you're there (in the same building!) but you only find out about it on its final day đŸ˜« #AIMOS2022
Interesting recommendation presented in #AIMOS2022 talk by Kylie Hunter - meta-analysts should try to get individual participant data for studies they plan to include in MA, and if the data aren’t shared, and there’s not a good reason for this, consider not including that study in MA.
Having individual data makes it possible to check for data quality/integrity issues, even if you use only summary data in MA.
Second photo is about Kylie & collaborator’s tool for checking primary data (in blue).
@sanjaysrivastava seems strongly field dependent. At #AIMOS2022, one journal editor (an anesthesiologist IIRC) estimated that 20-30% of all papers he saw were fraudulent, likely due to paper mills
@fidlerfm Six decades of criticism (thousands of articles), tutorials,editorial interventions, & task forces with virtually no discernable effects. Paul Meehl was not happy #AIMOS2022