26-29 June 2023
Wellcome Genome Campus, Hinxton
26-29 June 2023
Wellcome Genome Campus, Hinxton
The Big Data Institute is located in the Li Ka Shing Centre for Health Information and Discovery at the University of Oxford. It is an interdisciplinary research centre that focuses on the analysis of large, complex data sets for research into the causes, consequences, prevention and treatment of disease. Research is conducted in areas such as genomics, population health, infectious disease surveillance and the development of new analytic methods. The Big Data Institute is supported by funding from the Medical Research Council, the UK Research Partnership Investment Fund, the National Institute for Health Research Oxford Biomedical Research Centre, and philanthropic donations from the Li Ka Shing and Robertson Foundations.
The CGPS is an interdisciplinary team, with expertise in microbial genomics, genomic epidemiology, public health, bioinformatics and web and mobile software engineering, whose main goal is to translate the analysis of pathogen spread and AMR research into public health benefit.
Wellcome Connecting Science’s mission is to enable everyone to explore genomic science and its impact on research, health and society.
We connect researchers, health professionals and the wider public, creating opportunities and spaces to explore genomic science and its impact on people. Connecting Science inspires new thinking, sparks conversation, supports learning and measures attitudes, drawing on the ground-breaking research taking place on the Wellcome Genome Campus.
Our Courses and Conferences team funds, develops and delivers training and conferences that span basic research, cutting-edge biomedicine, and the application of genomics in healthcare. We work with globally-renowned scientists and healthcare professionals, and run events online, on the Campus, and in regional training hubs across Africa, Asia and Latin America, that aim to educate, inspire, and transform careers. wellcomeconnectingscience.org/coursesandconferences