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A data-driven global observatory addressing worldwide challenges through text mining and complex data visualisation.

Joao Costa1,2, M Besher Massri2,3, Marko Grobelnik1,2,3

  • 1Quintelligence, Ljubljana, Slovenia.

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Summary
This summary is machine-generated.

A new global observatory methodology integrates diverse data sources for a holistic view of worldwide challenges. This approach aids in understanding complex issues like epidemic intelligence and climate change impacts.

Keywords:
Big DataMEDLINEMeSH HeadingsPublic HealthSemantic TechnologiesSocial mediaText MiningWater Managementmultilingual news

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Area of Science:

  • Environmental Science
  • Public Health
  • Data Science

Background:

  • Global challenges like pandemics and climate change require integrated, large-scale monitoring.
  • Existing data sources are often siloed, hindering comprehensive understanding.
  • A unified approach is needed to contextualize local issues within global trends.

Purpose of the Study:

  • To propose a data-driven global observatory methodology.
  • To integrate diverse data perspectives (media, science, statistics, sensing).
  • To demonstrate the observatory's application in epidemic intelligence and water resource management.

Main Methods:

  • Utilizing heterogeneous data sources and text mining algorithms.
  • Developing a data-driven global observatory framework.
  • Engaging with stakeholders in municipalities, utilities, and government.

Main Results:

  • The methodology effectively integrates multi-perspective data for global issue monitoring.
  • Successful application demonstrated for COVID-19 pandemic impact and water resource management.
  • The observatory provides valuable insights for local contexts and priorities.

Conclusions:

  • A data-driven global observatory offers a powerful framework for understanding complex, interconnected global issues.
  • This integrated approach enhances epidemic intelligence and climate change adaptation strategies.
  • Stakeholder engagement is crucial for the successful implementation and local relevance of global solutions.