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个人简介
Dr Didier G. Leibovici’ s research is in geocomputational data analytics with 15 years of research in leading UK universities (Oxford, Leeds, Nottingham, Sheffield) and 5 years in a French research institute. His work has been on spatio-temporal data modelling and analysis within different contexts, such as: spatial epidemiology, agro-ecological monitoring, dynamics of population studies, location based citizen crowdsourcing of environmental information. Didier is interested in challenging the potential of interoperability developments to manage scientific models, workflow architectures, within interdisciplinary contexts along with their metadata information, data quality, reused in the data analysis methods to depict spatio-temporal interaction and associations.
Keywords:
geospatial integrated modelling / interoperability for data and processes / scientific workflows & web services / geospatial analysis & spatial statistics // meta-information / conflation / interaction //environmental & ecological modelling, epidemiological & public health /Volunteered Geographical Information (VGI)/ interdisciplinary research
In August 2020 I left the University of Sheffield, UK (Dpt of Math & Stat) where my work was part of the Sheffield contribution to the NordForsk funded project, CLINF. I still hold an Honorary Research Fellowship with the Environmental Dynamics group led by Pr. Shaun Quegan at the University of Sheffield, UK, but mostly I am managing my Cie www.geotrycs.com (see the personal webpage link).
The CLINF Nordic Centre of Excellence investigates the effects of climate change on the prevalence of infectious diseases in humans and animals in Northern regions and predicts the impact that changed risks of infections may have on northern societies, their Culture, and their economy. The project aims to gather information on the prevalence and incidence of CSI (Climate Sensitive Infectious diseases) in humans and animals in the north, to characterize the environmental envelopes under which terrestrial and aquatic disease vectors can thrive and propagate, and develop statistical and biophysical models that can represent the environmental conditions, and use the models to predict relevant environmental changes under climate change. Relating these changes to the likely spread of CSI and the associated risks to health and Nordic economies and culture, CLINF will be providing data and tools allowing this knowledge to be exploited by societies and individuals to make informed choices.
In situ and satellite-based environmental data are used to assess the potential spread of CSI under high latitude change, and to model projections of environmental change relevant to the viability and propagation of disease vectors such as mosquitoes or ticks. Terrestrial and aquatic processes on landscape-scale as well as biological/ecological processes are first studied separately and then linked together to provide consistent predictions.
研究兴趣
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Didier Leibovici,Roberto Santos,Gobe Hobona,Suchith Anand, Kiringai Kamau, František Zadražil, B.F. Schaap,Mike Jackson
Routledge eBookspp.60-75, (2023)
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Proceedings of Entropy 2021: The Scientific Tool of the 21st Century (2021)
B. Evengård,G. Destouni, Z. Kalantari, A. Albihn, C. Björkman, H. Bylund, E. Jenkins, A. Koch, N. Kukarenko,D. Leibovici, J. Lemmityinen,M. Menshakova,
Nordic Perspectives on the Responsible Development of the Arctic: Pathways to ActionSpringer Polar Sciencespp.93-111, (2020)
Jamie Williams, Colin Chapman,Didier Guy Leibovici,Grégoire Loïs, Andreas Matheus,Alessandro Oggioni,Sven Schade,Linda See, Paul Pieter Lodewijk van Genuchten
Citizen Sciencepp.321-336, (2018)
Trans. GISno. 5.0 (2018): 1221.0-1237.0
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