Reproducibility and Open Science
Theme Lead: Dr Janice Ranson
In an era marked by the reproducibility crisis, this theme addresses a pervasive issue that affects not only the fields of science, technology, engineering, mathematics, and medicine (STEMM) but also the humanities and social sciences. It aims to tackle the lack of replicability in studies and the inadequate reporting practices that hinder validation.
As research methodologies become increasingly complex, compounded by the growing utilization of big data approaches and artificial intelligence methods, the challenges associated with reproducibility intensify. These advancements have brought an unprecedented level of intricacy to the research process, necessitating a comprehensive and systematic approach to ensure that data science and AI research can be reproduced.
The Reproducibility and Open Science Theme at the Institute of Data Science and Artificial Intelligence recognizes the need for collaboration and cultural change within the research community. It serves as a platform that unites academics from various disciplines, encouraging interdisciplinary dialogue and cooperation to address the reproducibility crisis. By fostering a collaborative environment, we aim to cultivate a research culture that places reproducibility at the forefront.
Our primary objective is to establish the University of Exeter as a leading institution for reproducible methods training. Through targeted initiatives and activities, we will equip researchers with the necessary tools, knowledge, and skills to ensure that their research can be replicated and validated by others.
The Reproducibility and Open Science Theme will also actively engage with external stakeholders, including industry partners, policymakers, and the wider scientific community. By forging strong partnerships and promoting the adoption of reproducibility practices beyond academia, we aim to create a collective impact that extends far beyond the university's boundaries.
Join us as we embark on this exciting journey to transform research practices and contribute to the advancement of knowledge in the digital age. Through our dedication to reproducibility and open science, we aspire to foster transparency, rigor, and trust in the research process, ultimately driving scientific progress and societal impact.
