The Aims of the Workshop are to provide an opportunity for scientists in diverse fields concerned with analysis of broad and deep data to learn about the work being conducted by colleagues in other disciplines, to learn about new techniques and the availability of large linked data-sets that offer opportunities for deeper cross-disciplinary collaboration.

Internationally, routinely collected data - from health administration, electronic medical records, laboratories (clinical and public health), imaging services, and disease registries are being used to measure clinical care, trial outcomes, health system performance, trends in and determinants of the public health. In parallel, 'omics' scientists have developed computational techniques to analyse deep biological data-sets and computer scientists have developed artificial intelligence that can identify patters in 'big data' that are not constrained by our sometimes limited understanding of epidemiological associations.