2026-06-08 –, AUDITORIUM
In the 2025 In-person SIPS, we introduced the concept of "Radical Transparency" (RT), a practice consisting of making public the whole process of developing a research process, instead of just its outcomes.
To carry out research in this manner, we may leverage existing technologies (e.g., version control systems).
However, there are still many unknowns yet to be uncovered.
In this hackathon, we will focus on trying to make progress towards the following objectives:
To define the scope and constraints of the RT approach.
To determine the ability of existing technologies to meet the requirements of RT.
To uncover the risks and unintended consequences of RT, and propose safeguards to mitigate them.
We will split into groups to draft ideas on these objectives.
At the end of the session, we will gather the results, discuss them, and decide on the next steps towards a publication.
The expected result will be a draft concept/position paper that can serve as the seed of a publication in the near future.
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?:All SIPS attendants will be welcome to join, irrespective of their background.
The SIPS code of conduct will be strictly enforced.
The facilitators are representative of a diverse team in terms of gender balance.
The attendee profile only requires familiarity with Open Science concepts, making it widely inclusive.
Other participation requirements (e.g., digital skills) are considered optional, thus avoiding the exclusion of participants who may have had fewer opportunities to be exposed to digital literacy.
We believe that Radical Transparency is useful for improving transparency in psychological science, and this hackathon may be a critical contribution towards its implementation.
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?).:Familiarity with OS concepts: Pre-registration, registered reports, questionable research practices, computational reproducibility, and open code. Although not strictly necessary, the following are a plus: Familiarity with collaborative technologies (Google Docs), competence with version control systems (git/GitHub), understanding the difference between text and binary files.
PhD candidate interested in statistical modelling, single case designs, meta-science and reproducibility. Advocating for researchers' laboral rights at @fjiprecarios & @dignimad
I am currently an Assistant Researcher on the EXCELScIOR project at the University of Coimbra. My work falls into two main themes: 1. replicability and generalisability, and 2. uptake of open science practices by students, researchers, and journal editors. I am also currently Associate Director of the Journal Editors Discussion Interface.