Science one step ahead – Cnrs News (news.cnrs.fr)

Researchers at CNRS are advancing the use of foresight modeling to anticipate long-term societal changes driven by climate change, pandemics, and technological advancements. Unlike traditional forecasting, which predicts near-term events, foresight explores multiple potential scenarios over extended periods, enabling policymakers to strategize effectively for the future. Notably, this approach leverages digital models that incorporate various dynamic elements, such as urban development and climate projections, to assess changes in living conditions— exemplified by forecasts for Paris in 2050. This significant development for the AI/ML community underscores the increasing importance of interdisciplinary collaboration in addressing complex global challenges. By utilizing models that simulate real-world behaviors and outcomes, researchers can better inform public policy and evaluate the effectiveness of proposed measures. However, challenges remain, particularly in quantifying uncertainty linked to unforeseeable events and technological progress. Foresight analysis promotes dialogue across diverse fields, enhancing collective understanding and fostering informed decision-making that can mitigate negative outcomes. Ultimately, this research serves to improve knowledge while providing practical recommendations, demonstrating the value of foresight modeling in guiding future societal resilience.