Projects per year
Organization profile
Centre for Future Societies Research carries out interdisciplinary investigations into complex ways of making our future world a better place. It gathers over 50 academic and research staff across seven Schools of Study. This creates an exceptionally diverse collection of knowledge that is commensurable with the hard and open problems of increasing our understanding for the ways of creating better future societies.
The Centre links to the six university research themes of food, global economy, health and wellbeing, heritage, cultures and communities, information and security, and space. While the research themes have the ingredients of future societies, the Centre combines these ingredients in a range of joined-up ways to seek recipes for future societies. These recipes are evaluated using rigorous interdisciplinary methods in the context of global scenarios and the UN Sustainable Development Goals to create insights into the pathways towards values-led change in the global development.
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Profiles
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Novel carbon based membrane for enhanced interfacial photothermal vaporization
Wu, H., Papoutsakis, A. & Kourtessis, P.
31/03/23 → 30/03/25
Project: Research
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Broad-frequency solar energy absorption and conversion by solid particles
Wu, H., McCluskey, D. & Du, X.
6/03/23 → 6/03/25
Project: Research
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Hey Siri, Google! Can you help me? A qualitative case study of smartphones AI functions in SMEs: Siri, Google, A qualitative Study
Choudrie, J., Manandhar, N., castro, C. & Chike-Obuekwe, C., 2 Sep 2023, Technological Forecasting and Social Change, 189, 122375.Research output: Contribution to specialist publication › Article
Open Access -
How can Shared Mobility as a Service offerings improve gender inclusivity to improve diffusion?
Catulli, D. M., Thomas, R., Fenner, R. & Copsey, S., 1 Sep 2023, (Accepted/In press) Proceeding of the 2023 Royal Geographical Society Annual Conference. Royal Geographical SocietyResearch output: Chapter in Book/Report/Conference proceeding › Conference contribution
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A Wavelet Scattering Approach For Load Identification with Limited Amount of Training Data
Schirmer, P. & Mporas, I., 10 Jun 2023. 5 p.Research output: Contribution to conference › Paper › peer-review