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Friday, November 19th, 2021

UKPRP Systems Science in Public Health webinar

Julian Cox and Greg Fell presented at the UKPRP Systems Science in Public Health webinar, which was held on 2nd November 2021. Julian spoke about the SIPHER Consortium and Greg gave a keynote on policy challenges and implications within the local authority sector. The webinar was attended by 142 people who joined from Amsterdam, Canada and all across the UK and Northern Ireland. You can find a recording of the webinar below.

Monday, June 21st, 2021

Systems Science in Public Health Podcast Ep 4: Petra Meier in conversation with Patricia L. Mabry

In this episode, Petra speaks to Patricia L. Mabry, an interdisciplinary scientist who applies cutting edge methodologies (modelling and simulation, data science, network science, Artificial Intelligence) to research questions in healthcare, science of science, tobacco control, and health disparities.

Thursday, May 6th, 2021

Systems Science in Public Health Podcast Ep 3: Petra Meier in conversation with Robin Purshouse

In this episode, Petra speaks to Robin Purshouse, who is a Professor of Decision Sciences at the University of Sheffield. His research interests include modelling, analysis and optimisation for supporting decision-making. Robin is a Co-Director of the SIPHER Consortium.

Synthetic population video
Thursday, March 25th, 2021

SIPHER – Synthetic population

Our workstrand 3 has published an animated explainer video, which describes how we have created our synthetic population in SIPHER, and how we will use it to understand how proposed policy changes might affect people in different ways.

Tuesday, March 16th, 2021

Systems Science in Public Health Podcast Ep 2: Petra Meier in conversation with Brian Castellani

In this episode, Petra speaks to Brian Castellani who is a Professor of Sociology at Durham University. Brian is also a co-investigator of the Centre for the Evaluation of Complexity Across the Nexus (CECAN). His research focuses on advancing the tools of social complexity theory and computational social science for the study of public health questions.