7th Perspectives on Scientific Error Workshop

PERSPECTIVES ON
SCIENTIFIC ERROR

Workshop

February 5-7, 2025 · Bern, Switzerland

PROGRAM ·

TRAVEL INFO

Wednesday · Thursday · Friday
Meeting location: Unitobler, Lecture Hall F021, Länggassstrasse 49, Bern

8:30 - 9:00	Registration
9:00 - 9:30	Welcome and Opening
9:30 - 10:15	What is the value of correcting errors? A philosophy of science perspective Aurélien Allard
10:15 - 11:00	Insights from replications: What are errors, and when and how do we need to correct them? Stephanie Meirmans
Coffee Break
11:30 - 12:45	Keynote When is a paper wrong? Liam Kofi Bright
Lunch Break
13:45 - 14:30	Random allocation is not random sampling: Logical and statistical pitfalls when making inferences from randomized experiments Servan Grüninger
14:30 - 15:15	Does psychology have experiments? Nina Strohminger
15:30 - 17:00	Workshops Session I F006 \| Relation analysis as a logical-statistical analysis of data and hypotheses \| Rainer Maderthaner F007 \| Errors of omission in conflict of interest statements \| Steven Verheyen F011 \| Estimation statistics for better science \| Robert Calin-Jageman F021 \| Automating the extraction of test statistics for replicability estimates at scale using Z-Curve \| Julian Quandt F021 \| Research data guidelines and governances at higher education institutions \| Christine Krebs & Olga Churakova
17:00 - 18:00	Poster Session I with coffee, snacks, drinks What justifies preregistration? \| Hong Hui Choi Post-publication quality control: A proposal for journal-solicited registered verification reports \| Anna E. van 't Veer, Peder M. Isager, Ze Freeman, Rink Hoekstra, Ana Martinovici, Don van Ravenzwaaij, & Sajedeh Rasti The impact of inconsistencies in NLP dataset generation \| Brittany I. Davidson & Robert Thomas Seeking scientific consensus - Using expert surveys to settle replication debates \| Martin Buchner, Jörg Ankel-Peters, Julian Rose, Nathan Fiala, Magnus Johannesson, & Mandy Malan Methodological flexibility in the Iowa Gambling Task \| Annika Külpmann, Ian Hussey, Jan-Paul Ries, Malte Elson Reporting practices and statistical inference in neuroscience: An analysis of eNeuro papers from 2024 \| Irina Calin-Jageman & Robert Calin-Jageman Investigating interactions in linear regression models \| Aljoscha Rimpler, Henk Kiers, & Don van Ravenzwaaij RegCheck: A platform to automate preregistration-paper comparisons \| Jamie Cummins, Bence Palfi, Balazs Aczel, Ian Hussey, Malte Elson, Björn Hommel, & Ruben Arslan Enhanced independence: De-biasing processes in scientific research \| Katherine Cheung, Rebecca Ehrenkranz, & David Yaden Beyond the methodology: The role of power structures in propagating scientific errors \| Isabelle Rose I. Alberto, Nicole Rose I. Alberto, Leo Anthony Celi, Beth Israel, & T.H. Chan
19:00	Dinner at Ragazzi di Berna, Eigerstrasse 73, 3007 Bern

9:00 - 9:45	The use of error frameworks for identifying and dealing with potential sources of error in the social and behavioral sciences Johannes Breuer
9:45 - 10:30	The ERЯOR bug-bounty program one year on: New reviews, new tools, and new challenges Ian Hussey, Jamie Cummins, Malte Elson, & Ruben Arslan
10:30 - 11:30	Poster Session II with coffee, snacks, hot chestnuts Promoting student authorships: Advocating for fair acknowledgment of academic contributions \| Raphael Merz, Bennet Strahmann, & Maximilian Frank Assessing the flexibility of PANAS implementation and scoring across disciplines: A meta-methods study \| Frances Grace Hart, Patrick Smela, Maximilian Thiel, Beth Clarke, Malte Elson & Ian Hussey Addressing scientific error through integrative research approaches in psychotherapy research \| Nina Schwarzbach, Rink Hoekstra, & Marieke Pijnenborg Transparency in the secondary use of health data: Assessing the status quo of guidance and best practices \| Olmo R. van den Akker, Robert T. Thibault, John P. A. Ioannidis, Susanne Schorr, & Daniel Strech The fragility of scientific knowledge: A case study on the miscitation of gender stereotypes \| Christa Nater & Alice H. Eagly Bounding knowledge decay from agnostic temporal generalization \| Kevin Munger & Drew Dimmery From fragmentation to integration: Identifying research quality leveraging an LLM-RAG-based system \| Peter Hilpert, Nicolas Frank, Arthur F. C. Cicic, & Matthew J. Vowels The impact of errors in large-scale digital traces \| Brittany I. Davidson & Clemens Stachl Do less statistical errors lead to higher replication rates? \| David F. Urschler & Clemens Linder
11:30 - 12:45	Keynote Title tbd Stephanie M. Lee
Lunch Break
13:45 - 15:15	Workshops Session II F006 \| What's the point of reproducibility when a finding is not replicable – and vice versa \| Christine Krebs & Jennifer Morger F007 \| Invisible infrastructures for informal error detection \| Jay Patel & Joel Chan F011 \| Fostering a constructive error culture in science: Scaling up transparency and trust \| Sandra Zänkert, Maximilian Frank, Bernhard Miller, & Johannes Voßkuhl F021 \| Conducting, reporting and assessing reproductions: A framework and checklist \| Florian Kohrt, Filip Melinscak, Richard McElreath, Felix Schönbrodt
15:15 - 16:15	Poster Session III with coffee, snacks, crêpes p > .05 = no effect?! – The prevalence of nonsignificance misinterpretations in psychology \| Raphael Merz, & Stephen Lee Murphy On our best (inductive) behaviour: Subjective Bayesian foundations for Neyman-Pearson hypothesis testing \| Eoin Perry A précis for precision: Ideas on improving theory sections in psychology \| Anand Krishna Biasing effects of problematic responding in online convenience samples \| Taym Alsalti, Jamie Cummins, & Ruben C. Arslan Replicating computational cognitive models: Recommendations for reducing error in programming \| Cem Tabakci, Sebastian Hellmann, Michael Zehetleitner, Manuel Rausch Mitigating scientific pitfalls in field research: Lessons from Horizon2020 projects \| Mona Bielig, Melanie Vogel, Florian Kutzner, & Celina Kacperski Budget your α: Managing the accumulation of inferential error in heavily reused datasets \| Reid Dale, Mike Baiocchi, Jordan Rodu, & Maria E. Currie The struggle to make open science mainstream in PhD theses \| Hilmar Brohmer & Masia Fernanda Hoffmann Academic discussions on human enhancement meet science: A quantitative analysis \| Tomasz Żuradzki, Piotr Bystranowski, & Vilius Dranseika Bridging data quality and publication bias: Insights from social science research practices \| Jessica Daikeler
16:15 - 17:00	Replication, reform, and the Williams Paradox Aydin Mohseni
19:00	Dinner Location tbd

9:00 - 9:45	Against models: Insulation from the disorienting effects of complexity Anastasia Christakou
9:45 - 10:30	Where do scientific errors originate? A wider focus on academic practices in psychology Ingrid Scharlau
Coffee Break
11:00 - 12:15	Keynote How to improve the speed and quality of scientific research Saloni Dattani
12:15 - 12:45	Closing address

sponsored by

University Library of Bern
Institute of Psychology
Faculty of Human Sciences

If you have any questions, comments, or inquiries, please contact

Coffee Break

Lunch Break

Lunch Break

Coffee Break