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职业迁徙
个人简介
I have 15 years professional experience, split between research and practice: creating and using strong urban wellbeing evidence.
Research work
My PhD was supervised jointly by an urban designer and neuro-psychologist at Cambridge University. Most of my research focuses on sustainable city and neighbourhood design, in relation to Subjective Wellbeing and associated behaviours – such as the Five Ways to Wellbeing. Together with UoM colleagues, we have developed new robust tools such as MOHAWk and NOURISH, and ‘action research’ using analogue and digital approaches, in particular - improving causal inference with natural experiments (see publications list). This work has prompted high-profile debate, leading to substantive change in national policy and the take-up of new methods and tools in nine different countries.
I have helped secure £17 million of transdisciplinary research and currently lead the wellbeing aspects of two large grants: GrowGreen and CUSSH. The former is a 5-year international evaluation of neighbourhood greening interventions, led by Manchester City Council. CUSSH (Complex Urban Systems for Sustainability and Health) is a 5-year project, working in low, middle and high income countries, led by UCL and LSTHM. These projects involve working with a range of academics, local communities, local authorities, city mayors and third sector organisations.
I also work on the Manchester Urban Observatory, an EPSRC funded UK Collaboratorium for Research on Infrastructure and Cities (UKCRIC). This involves testing and developing novel digital data collection and analysis techniques, such as wireless and portable cameras, sensors and wearables.
Research work
My PhD was supervised jointly by an urban designer and neuro-psychologist at Cambridge University. Most of my research focuses on sustainable city and neighbourhood design, in relation to Subjective Wellbeing and associated behaviours – such as the Five Ways to Wellbeing. Together with UoM colleagues, we have developed new robust tools such as MOHAWk and NOURISH, and ‘action research’ using analogue and digital approaches, in particular - improving causal inference with natural experiments (see publications list). This work has prompted high-profile debate, leading to substantive change in national policy and the take-up of new methods and tools in nine different countries.
I have helped secure £17 million of transdisciplinary research and currently lead the wellbeing aspects of two large grants: GrowGreen and CUSSH. The former is a 5-year international evaluation of neighbourhood greening interventions, led by Manchester City Council. CUSSH (Complex Urban Systems for Sustainability and Health) is a 5-year project, working in low, middle and high income countries, led by UCL and LSTHM. These projects involve working with a range of academics, local communities, local authorities, city mayors and third sector organisations.
I also work on the Manchester Urban Observatory, an EPSRC funded UK Collaboratorium for Research on Infrastructure and Cities (UKCRIC). This involves testing and developing novel digital data collection and analysis techniques, such as wireless and portable cameras, sensors and wearables.
研究兴趣
论文共 23 篇作者统计合作学者相似作者
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JMIR Public Health and Surveillance (2024)
Jamie Anderson,Jack S. Benton, Junyan Ye, Ellie Barker,Vanessa G. Macintyre,Jack Wilkinson,James Rothwell,Matthew Dennis,David P. French
Wellbeing Space and Society (2021): 100029-100029
The international journal of behavioural nutrition and physical activityno. 1 (2021)
Gemma Moore,Susan Michie,Jamie Anderson,Kristine Belesova,Melanie Crane,Clément Deloly,Sani Dimitroulopoulou,Hellen Gitau,Joanna Hale,Simon J Lloyd,Blessing Mberu,Kanyiva Muindi,Yanlin Niu,Helen Pineo,Irene Pluchinotta,Aarathi Prasad,Anne Roue-Le Gall,Clive Shrubsole,Catalina Turcu,Ioanna Tsoulou,Paul Wilkinson,Ke Zhou,Nici Zimmermann,Michael Davies,David Osrin
Wellbeing Space and Society (2021): 100030-100030
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作者统计
#Papers: 21
#Citation: 246
H-Index: 8
G-Index: 15
Sociability: 4
Diversity: 2
Activity: 8
合作学者
合作机构
D-Core
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