ID:
publications-2435
Type:
Peer reviewed articles
Year:
2022
Authors:
Joao Costa; M. Besher Massri; Marko Grobelnik; Ignacio Casals del Busto; Dale Weston
Title:
A data-driven global observatory addressing worldwide challenges through text mining and complex data visualisation
Venue/Journal:
Open Research Europe
DOI:
10.12688/openreseurope.14471.1
Research type:
Data Management & Analytics
Water System:
River Basins
Technical Focus:
Abstract:
Observing the world on a global scale can help us understand better the context of problems that engage us all. In this paper, we propose a data-driven global observatory that puts together the different perspectives of media, science, statistics and sensing over heterogeneous data sources and text mining algorithms. We also discuss the implementation of this global observatory in the context of epidemic intelligence, monitoring the impact of the COVID-19 pandemic, and in the context of climate change, with a specific focus on water resource management. We will also discuss the value of this global solution in local contexts and priorities.
Link with Projects:
820985
Link with Tools:
Related policies:
ID:
