Data & Complexity Science in Climate and Finance (DCSCF)
Satellite of the Conference of the Complex System Society
Embedded Files
University of Exeter
02-09-2024
Financial markets and climate systems are complex dynamical systems characterised by intrinsic complexities and the generation of extensive datasets with significant emerging patterns. A deep understanding of these systems can benefit immensely from methodologies derived from different fields, i.e. complexity science and data science. Those approaches not only facilitate a more in-depth comprehension of the systems' behaviours but also unveil the latent patterns embedded within the data they produce by looking at the problems from a different angle. The objective of this workshop is to bring together researchers who delve into the study of Finance, Climate and the intersection of the two through the lenses of complexity science and data science.
Financial markets and climate systems are complex dynamical systems characterised by intrinsic complexities and the generation of extensive datasets with significant emerging patterns. A deep understanding of these systems can benefit immensely from methodologies derived from different fields, i.e. complexity science and data science. Those approaches not only facilitate a more in-depth comprehension of the systems' behaviours but also unveil the latent patterns embedded within the data they produce by looking at the problems from a different angle. The objective of this workshop is to bring together researchers who delve into the study of Finance, Climate and the intersection of the two through the lenses of complexity science and data science.
Call for papers
We welcome contributed talks on, but not limited to, the following topics:
• Climate and Weather Informatics
• Climate Science, Modelling, and Earth Observations
• Agriculture, Food Security, and Biodiversity
• Energy Transition and Carbon Management
• Socio-Economic Impacts and Climate Policy
• Cities and urban planning
• Climate and Insurance
• Climate Finance and Transition Risk
• Computational Finance and Agent-based Modelling
• Financial Engineering and Risk Management
• Market Dynamics and Microstructure
• Network Analysis in Finance
• Financial and Economic Complexity
• Data Mining and Big Data Analytics
• Artificial Intelligence and Machine Learning
• Software for Climate and Finance Applications
Important Dates
June 28th, 2024: Abstract submission deadline
July 12th, 2024: Results for the abstract selection
July 15, 2023: Early bird registration to CCS2024
September 2nd, 2024: DCSCF Satellite event
Registration
Registration is mandatory for all the participants, and more information can be found at Registration
Abstract submissions
Please email your contribution (up to 3 pages) following the link below by June 28th 2024 (EXTENDED to) July 5th, 2024. Decisions will be provided by July 12th 2024.
Satellite Organizers
Tiziana Di Matteo
Tiziana Di Matteo
King's College London
Giuseppe Brandi
Giuseppe Brandi
Imperial College Business School
Scientific Committee
Tiziana Di Matteo
Tiziana Di Matteo
King's College London
Rossella Arcucci
Rossella Arcucci
Imperial College London
Erik Chavez
Erik Chavez
Imperial College London
Giuseppe Brandi
Giuseppe Brandi
Imperial College Business School
Invited Speakers
Invited Speakers
Carlo Buontempo
Carlo Buontempo
Copernicus Climate Change Service at ECMWF
Kaveh Nobari
Kaveh Nobari
Imperial College Business School
Andrea Gabrielli
Andrea Gabrielli
University "Roma Tre" of Rome
Hirbod Assa
Hirbod Assa
University of Essex
Fabrizio Coccetti
Fabrizio Coccetti
Centro Ricerche Enrico Fermi
Sponsor
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