Institute of Health & Society

Data science

Data Science

The Data Sciences team focuses on methods, tools, and infrastructures to support the generation, management, governance, evaluation, and analysis of data and information, and their conversion into translatable knowledge and societal impact for the benefit of public health.

Human interaction and social context are central to data science design, development, and application. Depth and coherence of work is built up through long term membership of research studies and institutions that produce raw data, and through the complex cooperative work that enables data sharing across disciplinary and international borders. Equally important are effective information governance, appropriate regard for social perspectives, and active engagement with all stakeholders including the general public.

See more at at Data to Knowledge