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Organizers: Sabrina Hansmann-Roth, University of Lille; Björn Jörges, York University
Moderator: Sabrina Hansmann-Roth, University of Lille
Speakers: William Ngiam, University of Chicago; Janna Wennberg, UC San Diego

Preregistration has been proposed as a tool to accelerate scientific advancement by making scientific results more robust, more reproducible, and more replicable. In this workshop, we will briefly go over the advantages of preregistered studies and the registered report publication format, and then delve deeper into the practicalities of preregistering studies as applied to the Vision Sciences. A range of topics will be discussed, such as proper specification and formalization of hypotheses, predictions, and data analysis pipelines as well as power analyses. There will also be an introduction to how registered reports go beyond preregistration and can help combat publication bias in the literature.

William Ngiam

University of Chicago

William Ngiam is a postdoctoral researcher in the Awh and Vogel Lab at the University of Chicago, studying how learning and experience influence the representation of visual information in memory, and leveraging that to understand the capacity limits of visual working memory. He is an active advocate for reform to improve science – he serves on the steering committee of ReproducibiliTea, a grassroots initiative to form Open Science communities at academic institutions, and is the Editor-in-Chief of the Journal for Reproducibility in Neuroscience, a non-profit diamond open access journal. You can follow him on Twitter @will_ngiam.

Janna Wennberg

UC San Diego

Janna Wennberg is a third-year Ph.D student in psychology at UC San Diego. With Dr. John Serences, she uses behavior, fMRI, and computational modeling to investigate how flexible neural codes support visual attention and working memory. She became interested in open science as an undergraduate through her work with Dr. Julia Strand, a speech perception researcher and leader in the open science movement. She realized that open science practices such as preregistration and registered reports have served as valuable training opportunities for her, and she is interested in exploring how scientific reforms can be tools both for improving research and training early career researchers.

Sabrina Hansmann-Roth

University of Lille

Sabrina Hansmann-Roth is a postdoctoral researcher at the University of Lille and the Icelandic Vision Lab. Before that, she obtained her Ph.D. from the Université Paris Descartes. She is interested in the mechanisms used to represent information in visual memory. For that, she investigates probabilistic representations of visual ensembles, visual priming and perceptual biases such as serial dependence. Beyond that, and as a member of the SPC, she is passionate about discussing Open Science particular for Early Career Researchers. Contact Sabrina at Sabrina@hi.is or on Twitter: @SHansmann_Roth