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There is also an interest in evidence synthesis and the use of social data science to help answer relevant questions. ... Key audiences. Academics, researchers and students, who are interested in:. behavioural economics, psychology, behavioural sciences,

Andrew’s research interests include risk modelling (particularly combining data science with expert knowledge), the economics of catastrophe, Bayesian statistics, and future risks from climate change and biodiversity loss. ... Ben’s other research

He is Full Professor of Economics at the Institute of Economics, Pro-Rector for International Relations, and Associate Scientific Coordinator of the EMbeDS (Economics and Management in the Era of Data ... and Rossetti, G. (2022) “Venture capital

Katherine Bobroske. Read more about Katherine. Katherine has a background in operations research engineering and decision science from Cornell University and the London School of Economics. ... He received his MPhil and PhD in Management Science and

Essential characteristics. • Experience in fintech, financial services regulation or supervision, or data science or consulting. • ... Masters or PhD with a background preferably in law, finance, economics, social sciences, data science, computer

9 Jul 2023: Science)• Finance (CASS Business School)• Healthcare (School of Health Science)• Economics (School of Arts and Social Sciences)• Ethics (The City Law School). ... Partners: NHS, BBC, British Library, Imperial College Data Science, Societe Generale

6 Dec 2023: science and economics”, (Stern, 2006 p33). The uncertainty associated with the. ... bound of the range. 17. The IEA used data from the Oil and Gas Journal to estimate that Canadian oil sands.

6 Dec 2023: the basis of these probabilities is “up-to-date knowledge from science and economics”. ... Data gathered. by UKERC shows aggregate post peak decline between 0.2% and 4.0% per year.

6 Dec 2023: EPRG Working Paper 1005. Cambridge Working Paper in Economics 1014. Aurélie Méjean and Chris Hope. ... A probability distribution is assigned to these parameters and the basis of these probabilities is “up-to-date knowledge from science and

5 Dec 2023: of Applied Economics, University of Cambridge. 4. steering.6 The most widely used frontier-based benchmarking methods are Data Envelopment Analysis (DEA), Corrected Ordinary Least Square (COLS), and Stochastic Frontier Analysis ... of Applied Economics,

His approach consists in combining network theory, statistical physics, data science, multiscale analysis and computational methods to unwind complexity and produce models that are capable to make reliable predictions. ... Oisín received his MSc in

6 Dec 2023: A  probability distribution is assigned to these parameters and the basis of these probabilities is “up‐to‐date knowledge from science and economics”, (Stern, 2006 p33). The uncertainty  associated  with  the 

11 Dec 2023: debt. Our goal is to remain as close as possible to climate science, economics, and real-world. ... Although the science, economics, and politics of climate change are widely studied, we do not have a reliable source of information on how climate change

9 Jul 2023: He is researching into innovative sourcing of business economic data and is leading the cyber threat research track. ... He is also a Fellow of Cambridge Judge Business School. Dr Andrew Skelton’s research interests include risk modelling (particularly