Periodic Reporting for period 1 - WISER (WISER: Well-being in a Sustainable Economy Revisited)
Okres sprawozdawczy: 2023-10-01 do 2024-12-31
The WISER project challenges GDP-centric economic models, supporting a well-being-focused framework that integrates sustainability, inclusiveness, and productivity. It aims to redefine economic development by balancing growth with both social and environmental well-being. The project addresses the lack of comprehensive well-being metrics and seeks to reshape policymaking by offering an alternative approach that enhances quality of life while reducing economic inequality and environmental degradation.
• Developed a theoretical framework moving beyond GDP as the main progress indicator.
• Created a well-being database that will be used as input for a dashboard for policymakers with actionable metrics.
• Conducted scenario analyses and predictive modeling to guide sustainable policies.
• Explored links between well-being and productivity, social inclusion, and environmental sustainability.
• Engaged stakeholders through participatory workshops, AI-driven governance tools, and case studies across diverse regions.This study is in its initial stages and and has just recently been granted the ethics clearance and research license. Field survey to commence soon.
• Created a well-being database that will be used as input for a dashboard for policymakers with actionable metrics.
• Conducted scenario analyses and predictive modeling to guide sustainable policies.
• Explored links between well-being and productivity, social inclusion, and environmental sustainability.
• Engaged stakeholders through participatory workshops, AI-driven governance tools, and case studies across diverse regions.This study is in its initial stages and and has just recently been granted the ethics clearance and research license. Field survey to commence soon.
• Developed a new framework that provides a way to produce economic growth that does not come at the cost of well-being.
• Developed a database at the regional level by combining different existing surveys and using advanced statistical methods.
• Developed a new metric for subjective well-being based on Big Data and machine learning.
• Established empirical evidence linking subjective well-being with economic productivity.
• Developed innovative policy modeling tools integrating environmental, economic, and social dimensions.
• Introduced participatory approaches, using AI and VR for governance and urban planning.
• Identified key factors for improving well-being efficiency and reducing defensive consumption.
• Developed a database at the regional level by combining different existing surveys and using advanced statistical methods.
• Developed a new metric for subjective well-being based on Big Data and machine learning.
• Established empirical evidence linking subjective well-being with economic productivity.
• Developed innovative policy modeling tools integrating environmental, economic, and social dimensions.
• Introduced participatory approaches, using AI and VR for governance and urban planning.
• Identified key factors for improving well-being efficiency and reducing defensive consumption.