2026-05-06 –, Track 1 (Wed)
In 2025, PsyArXiv instituted a pre-moderation system where uploads have to be accepted before they become visible to the public. This process ensures more consistency, but also places the responsibility of shaping the archive into the hands of a small number of volunteers. Moderators have to define what counts as scientific psychology to decide which submissions are within scope. Because some more generalist archives have closed due to an overwhelming amount of AI-generated submissions, authors whose work does not neatly fall into a specific discipline are shopping around and some are testing the waters to see if PsyArXiv fits. In this hackathon, we will explore how to best define scientific psychology for the purposes of PsyArXiv, balancing preserving integrity while not closing it to alternative voices. What are the minimal standards we should expect a preprint to have in order that it can contribute to scientific discourse?
Kailey Lawson
Please classify your session as the theme it fits best in:: Incentives/Culture - Content related to the incentive structure of science, culture, and norms of science What is your end product?:Criteria about what counts as in scope of scientific psychology for PsyArXiv
How will the session's content foster diversity & inclusion (e.g., who will present, who will it serve), and how will it improve psychological science?:By crowd sourcing an expansive view of what constitutes scientific psychology, PsyArXiv moderators will learn to become the curators of a valuable archive for psychological scientific discourse without descending into exclusive gatekeepers of a narrowly defined field.
Please note any pre-requisite knowledge/expertise you will expect from attendees (i.e., is the session most appropriate for someone who already has experience with a topic?).:None
I am a teaching-focused senior lecturer at the University of Glasgow in the UK. My passion is teaching psychology and open science. With open science practices forming an important cornerstone in the advancement of science, it has become increasingly evident that we should be incorporating these practices into the way that science is taught. Examples span from the educational practices that adopt inclusivity to developing team science for student research. My scholarship is centred on how we can incorporate the practices and philosophy of Open into our teaching, and current interests include inclusive assessment and effective use AI in teaching and assessment for both staff and students.
I'm a learning scientist, using formal modeling, experiments (in-lab and in the classroom), and survey data to better understand how and why we learn.
My ongoing research has focused on using computational models to better anticipate where, when, and how learning strategy and motivational interventions might be tailored for different individual, technological, and school contexts.
Through these efforts, I aim to develop the contextually rich intervention theory needed to support the creation of effective and equitable educational environments.