@CEGA_UC the Berkeley Initiative for Transparency in the Social Sciences promotes openness and integrity in social science research.
ucbitss.bsky #openscience
How can forecasts make experiments better? See the new VoxDev piece by @sdellavi.bsky.social and @evavivalt.bsky.social sharing findings from 100 projects on the SSPP (@socscipredict.bsky.social):
https://t.co/9gklhS48vA
📢 Call for Papers! We are partnering with the Journal of Economic Surveys on a special issue: Reproducibility and Meta-Science in Economics.
Submission deadline: 1 March 2027. Details in thread 🧵
New preprint on MetaArXiv with lessons learned from the Brazilian Reproducibility Initiative. What was learned from a nationwide project assessing the replicability of biomedical experiments?
https://t.co/VclXv7qjEG
Registered Reports improve the credibility of scientific claims by rewarding big questions, sound methods and solid analyses. They need to become a standard tool in research.
https://t.co/7OPiFugXwv
📈 Excited to share that Pre-Results Review is expanding in economics! AJAE received its first PRR submission last Wednesday. We were happy to share lessons learned in the process after successfully launching PRR with the JDE in 2018:
https://t.co/ydQG5zVdz8
Many thanks to our speakers for a successful BITSS Annual Meeting! One of our main take-aways was the tension between using LLMs in research and reproducibility. Reproducibility remains an important issue in research, and this is a topic we think is important to pay attention to.
Last week, researchers and policymakers shared research to advance transparency, reproducibility, rigor, and ethics in social science research at the 2026 BITSS Annual Meeting, hosted by CEGA’s @UCBITSS + @IBSI_at_Haas.
View slides from the presenters: https://t.co/lFpJbyORpu
Notes from a great panel on AI + transparency in science from @UCBITSS annual meetings.
this from @evavivalt was amazing.
Basically, for ~150 studies that they had humans predict the coefficients of studies based on the proposed design, LLMs (Opus 4.6) even without too much fine tuning, were really good at predicting results. Average MSE was 0.03.
And no adding human data doesnt help (much).
Why do null results matter?
📊 Sharing results on what works is important, but sharing null results is equally important. Understanding what doesn’t work helps advance transparency and helps the field minimize ineffective spending and invest in programs that deliver real impact.
We're looking forward to the BITSS Annual Meeting next Thurs, Apr 16! Devon Crawford from the NIH will be our keynote speaker + there will be a panel on integrating AI into social science research. There's still room to register - hope to see you there:
https://t.co/fvrCpgvAAa
Join us for MeasureDev 2026!
📊 The 2026 Measuring Development Conference (MeasureDev) will chart a path forward for research transparency and reproducibility in light of recent technological advancements.
Learn more: https://t.co/9ysdUgKx07
Thrilled to announce Devon Crawford, Program Director of the Office of Research Quality at NIH NINDS, as the Keynote Speaker for the BITSS AM! Join us Thurs, April 16 to hear from Devon and experts using LLMs to advance research transparency.
Register: https://t.co/Fxeci4vn7z
Excited to share the agenda for the next BITSS Annual Meeting! Join us April 16 in Berkeley for presentations on AI in research, open science, and data quality.
https://t.co/Fxeci4vn7z
Register for the BITSS Annual Meeting!
📊 Join @UCBITSS and @IBSI_at_Haas on April 16 to explore how to improve the credibility of social science research by promoting transparency, rigor, and reproducibility.
Register: https://t.co/Y8b3r6TGEe
📢 Launching the Sustainable Evidence Infrastructure Commitment (SEIC) — a global effort to strengthen how impact evaluation evidence is produced, shared and used.
🤝 Signatories include: @CEGA_UC, @OSFramework, @IDinsight, @IFPRI, 3ie and PIRC.
We aim to improve reporting standards, data sharing and evidence systems — so evidence is more usable, timely and impactful.
🔗 Read commitment: https://t.co/PHoDsoA9bN
🔗 Read why it matters: https://t.co/cEk414evAw
Are you a researcher in the social sciences?
Join @UCBITSS on May 19-21 for its Research Transparency and Reproducibility (RT2) Training to explore tools and best practices for upholding transparency in social science research.
Apply by February 8: https://t.co/cMO4i5YSjh
Last week to apply to present at the BITSS AM! Our call for speakers closes Sunday, Jan 18. Join us at UC Berkeley for a conversation on open science, research methods, and changes in academic publishing - it's our favorite day of the year.
Apply here: https://t.co/x19hCiT0HZ