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8 Nov 2023: What exactly is that? Put simply, Rawls imagines that if citizens are able to shed their own characteristics - for example, their gender, age, social and economic status - and talk to each

19 Apr 2023: Some of those unidentified areas at the intersection of climate extremes and non-climate, structural and social-economic factors (shown by SDGs) may also be at risk of increased vulnerability to ... Equality), SDG 8 (Decent Work and Economic Growth), SDG

17 Jun 2023: King's Birthday Honours 2023. Leaders in fields from economics to history are among the Cambridge academics recognised in the King's first birthday honours list. ... Professor Coyle CBE has been made a Dame Commander of the Order of the British Empire

14 Nov 2023: Beyond the fascination, however, Rawlinson is keenly aware of the human and economic cost of natural hazards. ... If a new city is to be built, our work could inform building codes and disaster management planning, which would help save lives and reduce

8 Dec 2023: Malinowski and the Argonauts: a hundred years of economic anthropology and the ethnographic method.

16 Feb 2023: The AIA has also published a report, in collaboration with the World Economic Forum, examining the technical capabilities of battery-electric, hydrogen fuel cell and hydrogen combustion aircraft and the role

17 Aug 2023: The study also found that the greatest overall global economic gains come from the most biologically important sites – but these are also most costly for locals to conserve. ... Reference: Platts, P.J. et al.: ‘Inequitable gains and losses from

29 Jul 2023: Since launching in 2018, the scholarships have helped alleviate the financial worries and transform the university experience of 32 students from less advantaged socio-economic backgrounds.

13 Feb 2023: Publications, Machine Learning Group, Department of Engineering, Cambridge. current group:. [former members:. [by year:. [Gaussian Processes and Kernel Methods. Gaussian processes are non-parametric distributions useful for doing Bayesian inference

2 Nov 2023: Houses can be ‘hard to decarbonize’ for various reasons including their age, structure, location, social-economic barriers and availability of data.