
Collaborative Group on Nowcasting Populations
In January, CPC hosted a workshop on Nowcasting Populations at the Solent Sky Museum as part of the Collaborative Group on Nowcasting Populations (CGNP) programme, funded by the University of Oxford's Van Houten Fund.
The CGNP initiative is led by Dr Andrea Aparicio Castro and the Leverhulme Centre for Demographic Science's Nowcasting Populations (NowPop) team, which drives innovation in near real-time population estimation at the University of Oxford.
They are collaborating with teams led by CPC-CG members Professor Jakub Bijak and Dr Jason Hilton at the University of Southampton, CPC Associate Professor Arkadiusz Wiśniowski at the University of Manchester’s Department of Social Statistics, and Professor Francisco Rowe, Dr Elisabetta Pietrostefani and Dr Carmen Cabrera-Arnau at the University of Liverpool’s Geographic Data Science Lab.
The aim is to advance knowledge of nowcasting populations, mobility, and migration by integrating Bayesian and other methodologies with digital trace and traditional data sources.
A key project objective is to build and strengthen a community focused on real-time population and mobility estimation while establishing a foundation for collaborative projects and large grant applications through shared research themes.
This workshop was part of a series of five, with previous iterations held at the University of Liverpool and the University of Manchester. The most recent sesssion focused on methods for nowcasting populations, and featured presentations from the Flowminder Foundation, Worldpop, and University of Catania, as well as a talk based on work from the QuantMig project, given by Professor Bijak with CPC member Dr Emily Barker. The workshop also offered a valued opportunity for discussion of methodological and modelling problems in the area.
The series will continue with a concluding workshop in February 2025, hosted at the University of Oxford.
Find out more from the Leverhulme Centre for Demographic Science.
Posted 03/02/2025 16:37
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