Data-Driven Decision Making

Smart Cities: Integrating data and technologies into urban planning can enable cities to function more efficiently, reducing waste, energy consumption, and pollution, while improving overall sustainability. Smart city systems, such as smart grids or green infrastructure, are examples of transformative approaches to urban sustainability.

Environmental Data Monitoring and Analysis: The use of advanced technologies to collect and analyse data on climate change, tides, ocean temperatures and weather patterns is crucial for predicting and mitigating risks. However, the lack of adequate infrastructure for collecting and managing this data in many urban coastal areas remains an obstacle.

Data Management and Analytics: It can be used to identify patterns that lead to an advanced alert of hazardous climatic events, such as floods or storms and predict their impact, as well as to map the natural resource distribution and its usage patterns, predict the energy demand and ecological outcomes. Tools to communicate complex sustainability data to stakeholders are equally important.

Sustainability Metrics and Indicators: Carbon Footprint Analysis (Measuring emissions across industries and regions), Water Use Metrics (Monitoring consumption, waste, and efficiency improvements), Circular Economy Indicators (Tracking material flows, waste reduction, and recycling rates), Sustainable Development Goals (SDGs) (Aligning local initiatives with global SDG metrics).

Decision-Support Tools: This implies to develop tools to allocate resources efficiently while minimizing environmental impacts, plan possible scenarios to explore future outcomes under different assumptions, create sustainability dashboards for real-time decision-making support and evaluate the economic viability of sustainable projects.