Predictive Modeling in Global Change
How might today’s choices shape tomorrow’s population patterns? This article explores how data scientists use predictive modeling and scenario-based frameworks like the Shared Socioeconomic Pathways (SSPs) to examine climate-driven population change. It highlights models as tools for exploring uncertainty and supporting informed planning and decision-making—not exact predictions.
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Topics
- predictive modeling
- climate change modeling
- global change
- data-driven decision-making
- scenario-based modeling
- shared socioeconomic pathways
- SSPs
- population dynamics
- human population growth
- climate projections
- forecasting vs. projection
- uncertainty
- independent variable
- dependent variable
- environmental data
- climate science
- computational modeling
- deterministic model
- stochastic model
- model resolution
- temporal resolution
- time steps
- human-environment interactions
- climate risk assessment
- sustainability scenarios
- climate policy planning
- data visualization
- spatial population models
- climate futures