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Application areas | Department of Computer Science and Technology
https://www.cst.cam.ac.uk/research/application-areas17 May 2024: areas of computer science, environmental science, and economics; and to create a decentralised marketplace where purchasers of carbon credits can confidently and directly fund trusted nature-based projects. ... has been among our research interests for -
Data Trusts Initiative | Department of Computer Science and Technology
https://www.cst.cam.ac.uk/research/data-trusts17 May 2024: These technologies have great potential to boost economic growth and enhance our wellbeing, but these novel patterns of data use can also leave us vulnerable in new ways. -
Declaration | Department of Computer Science and Technology
https://www.cst.cam.ac.uk/research/eeg/declaration17 May 2024: Kamiar Mohaddes. Associate Professor in Economics & Policy. University of Cambridge. -
EEG news | Department of Computer Science and Technology
https://www.cst.cam.ac.uk/research/eeg/news17 May 2024: Researchers at the Universities of Cambridge and Exeter, along with the London School of Economics, have introduced a more reliable method called 'Permanent Additional Carbon Tonne' (PACT) accounting for estimating the -
Publications | Department of Computer Science and Technology
https://www.cst.cam.ac.uk/research/eeg/publications17 May 2024: and Shuckburgh, E., 2021. Localised economic impacts from high temperature disruption days under climate change. -
Security | Department of Computer Science and Technology
https://www.cst.cam.ac.uk/research/themes/security17 May 2024: economics of information security and spills over into policy. -
Seminars | Department of Computer Science and Technology
https://www.cst.cam.ac.uk/seminars17 May 2024: Laszlo Vegh (London School of Economics). Algorithms and Complexity Seminar. 28May. -
Assessing indirect business risk from climate change | Department of…
https://www.cst.cam.ac.uk/seminars/list/18326917 May 2024: Given projected increases in disaster risks due to climate change, developing models that more accurately simulate the propagation of shocks through economic networks becomes crucial for designing effective prevention and recovery ... He is also in -
Identifying direct deforestation drivers in sub-Saharan Africa using…
https://www.cst.cam.ac.uk/seminars/list/20249517 May 2024: Amandine’s PhD focuses on using high-resolution optical (e.g. PlanetScope) satellite data, machine learning and deep learning techniques, and socio-economic data (e.g. ... Using Cameroon as a case study, Amandine’s project aims to model the spatial -
Taking the Long View: Enhancing Learning On Multi-Temporal,…
https://www.cst.cam.ac.uk/seminars/list/20515617 May 2024: These analyses can assist decision-makers with valuable insights into population shifts, economic trends, and infrastructure performance.
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