What is the difference between poverty and deprivation? How can they be measured and understood? How can data help policymakers find ways to reduce their effect on the lives of people in the UK, especially given the effects of the Covid-19 pandemic? In this post, we examine measures for deprivation.
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Christian Reynolds (one of our #DataImpactFellows) reflects on new data available in his research areas of food sustainability and waste, and how the Covid-19 crisis is changing how he will work going forward.
Stuart Mills continues his series on data policy theory, focusing on the opportunities and problems of nudging.
Ema Pavlovic explores developments in approaches to measuring the impact of research.
Recently, some of our #DataImpactFellows joined us for a fantastic Twitter chat on the theme of #DoingResearchNow.
We’ve asked our #DataImpactFellows to write a post on the theme of ‘change’. Stuart Campbell reflects on the challenges and opportunities that the current crisis presents for the ways we work.
Colin Argus recently demonstrated various visualisations that he had created for Covid-19 mortality on Twitter. Here he elaborates on his approach to this work.
Patty Doran and Vanessa Higgins highlight how the range of survey and longitudinal data in the UK Data Service collection can give context for the current inequalities being experienced due to the coronavirus lockdown.
We’ve asked our #DataImpactFellows to write a post on the theme of ‘change’. Janet Bowstead explores how administrative data can support research and how a new approach to them may be needed.