2026-06-10 –, HA Room 2416
Many psychological scientists want to strengthen their statistical skills but face barriers such as cost, fragmented resources, and uncertainty about where to start. The Quant Family Collective was founded to address these and related psychological barriers to learning statistics for psychology trainees. This hackathon will aim to collaboratively build a comprehensive, open repository of free or low-cost, high-quality statistics learning resources tailored to psychological science.
Participants will work together to identify, evaluate, and organize existing materials (e.g., tutorials, textbooks, videos, courses, software guides) across skill levels and topics, with attention to accessibility, transparency, and practical relevance. The clear end goal of the session is a shared, publicly available resource that attendees can immediately use and continue developing after the conference. Our team at QFC has started building this, and there is much more work to be done: https://www.quantfamilycollective.org/resources
Whitney Ringwald, Jen Traver, JD Delgado, Conor Lacey
Please classify your session as the theme it fits best in:: Pedagogy/Curriculum/Mentoring - Content related to educating students What is your end product?:A spreadsheet, organized by quantitative method, of free or low-cost high-quality resources (books, videos, workshops, code examples, etc.)
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?:The Quant Family Collective exists to support early-career psychological scientists learning statistics—especially those underrepresented in quantitative fields, navigating math-related group stereotypes, or with limited resources. This hackathon advances that mission by collaboratively creating an open, accessible, and well-organized repository of statistics learning resources that lowers structural barriers to quantitative skill development.
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?).:No prior experience is needed. Experience learning, applying, or teaching quantitative methods will be helpful but is not required.
Annie Maheux is an Assistant Professor of Psychology and Neuroscience at the University of North Carolina at Chapel Hill, affiliated with the Developmental Psychology and Quantitative Psychology programs. She studies adolescent socioemotional development in the context of emerging technologies like generative AI and social media. Annie founded the Quant Family Collective in 2021 (https://www.quantfamilycollective.org/) and is passionate about demystifying quantitative methods for trainees in psychology, building community, and making science fun.
