Chinese Open Science Network (COSN)

@chineseopensci.bsky.social

A grassroots network for promoting open science via both Mandarin & English!

Finally this long-last meta-research is done! We examine the demographics of subject from 1000 Chinese psych journal articles & 27 big-teams science. Findings: these participant are not representative of the 🇨🇳population, in terms of sex, age, & edu. @btscon.bsky.social @sakshighai.bsky.social

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PsyArXivBot@psyarxivbot.bsky.social · 6mo ago

Profiling the Chinese Participants in Psychological Science: Non-WEIRD but Not Representative: https://osf.io/j8xgf

📣 Save the date for the 13th PCI webinar on December 1st, 2025, at 4 PM CET!! Simine Vazire (University of Melbourne, Australia) will present "Recognizing and responding to a replication crisis: Lessons from Psychology". For more details and registration, visit: buff.ly/wZNoD2v

PCI Webinar Series - Peer Community In

The PCI webinar series is a series of seminars on research practices, publication practices, evaluation, scientific integrity, meta-research, organised by Peer Community In

peercommunityin.org

I'd like to re-up this paper we published last year bec I believe it makes a fundamental contribution to theoretical metascience but it is woefully underappreciated. We address a key challenge in estimating the reproducibility of a result: The distance of a replication study from the original. 1/n

Screenshot of an article abstract.

Title: Statistics in Service of Metascience: Measuring Replication
Distance with Reproducibility Rate
Authors: Erkan O. Buzbas and Berna Devezer
Abstract: Motivated by the recent putative reproducibility crisis, we discuss the relationship between the replicability of scientific studies, the reproducibility of results obtained in these replications, and the philosophy of statistics. Our approach focuses on challenges in specifying scientific studies for scientific inference via statistical inference and is complementary to classical discussions in the philosophy of statistics. We particularly consider the challenges in replicating studies exactly, using the notion of the idealized experiment. We argue against treating reproducibility as an inherently desirable property of scientific results, and in favor of viewing it as a tool to measure the distance between an original study and its replications. To sensibly study the implications of replicability and results reproducibility on inference, such a measure of replication distance is needed. We present an effort to delineate such a framework here, addressing some challenges in capturing the components of scientific studies while identifying others as ongoing issues. We illustrate our measure of replication distance by simulations using a toy example. Rather than replications, we present purposefully planned modifications as an appropriate tool to inform scientific inquiry. Our ability to measure
replication distance serves scientists in their search for replication-ready studies. We believe that likelihood-based and evidential approaches may play a critical role towards building statistics that effectively serve the practical needs of science.

Keywords: replication distance; reproducibility rate; philosophy of statistics; scientific inference; idealized experiment; minimum viable experiment

🌍It’s Open Science Week!🔓 From Oct. 20–26, we join the global community in celebrating open access to knowledge and research. 💡This year’s theme “Who Owns Our Knowledge?” invites us to reflect on how research & education are shared, who creates knowledge, & whose voices are recognized in shaping it.

Learn about the process and unique benefits of reporting your research using APA Style Journal Article Reporting Standards (JARS). Hear from experts Heidi Levitt, PhD, & Arthur Nezu, PhD, as they discuss the standards from their perspectives as editors, instructors, & researchers bit.ly/499xTsj

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Last call for data-blitz and poster submission for the Computational Psychology preconference @spspnews.bsky.social! See thread below for details and hope to see you in Chicago!

William J. Brady@williambrady.bsky.social · 10mo ago

The computational psych preconference is back @spspnews.bsky.social for a full day! This year's lineup: 👉theory-driven modeling: Hyowon Gweon 👉data-driven discovery: @clemensstachl.bsky.social 👉application: me 👉 panel: @steveread.bsky.social Sandra Matz, @markthornton.bsky.social Wil Cunningham

If you're interested in #preregistration but don't know where to start, come and join my preregistration workshop at @unicologne.bsky.social in Cologne on Wednesday! We still have open spots. You can register via the link below. ✨ #OpenScience @frederikaust.com

Leibniz-Institut für Psychologie (ZPID)@zpid.bsky.social · 10mo ago

On this wednesday, our dear colleague @lspitzer.bsky.social talks about "Preregistration in Psychology" #openscience #preregistration #psychology events.digital-research.academy/event/114/

Kind words from a recent connection “I have been going through your wonderful book. I am going to assign readings from your book to my students. I am currently teaching a course where the students conduct a research project with a client. There is so much here that is relevant to their process.”

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"our 4-level guide for gradual engagement: a) foundation; b) growth, adopting low-cost, easily implementable practices; c) community, contributing to open-science communities through actionable steps; d) leadership, taking on leadership roles or forming local communities to foster cultural change"

Open Science in the Developing World: A Collection of Practical Guides for Researchers in Developing Countries - Hu Chuan-Peng, Zhiqi Xu, Aleksandra Lazić, Piyali Bhattacharya, Leonardo Seda, Samiul H...

Over the past decade, the open-science movement has transformed the research landscape, although its impact has largely been confined to developed countries. Re...

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