During the Seventeenth IAMC Annual Meeting, held online 4-6 November, the Integrated Assessment Modeling Consortium was proud to honor Marina Andrijevic (IIASA) with the Early Career Researcher Award for her contributions to the socio-economic dimension of integrated assessment modelling, including her recent work on adaptive capacity.
Marina Andrijevic, a researcher in the Integrated Assessment and Climate Change Research Group of the IIASA Energy, Climate, and Environment Program, was awarded the prize for her fundamental and outstanding contributions to understanding and developing socioeconomic drivers for use in integrated assessment and global change research. This includes work on national Shared Socioeconomic Pathways (SSP) projections for socioeconomic drivers such as governance and gender, which are widely used in the integrated assessment (IAM) community and beyond.
She has subsequently led thinking on the importance of accounting for differentiated adaptive capacity, for people, sectors and institutions, and the importance of integration in IAM scenarios. This is demonstrated in a recent Nature Climate Change paper "Towards scenario representation of adaptive capacity for global climate change assessments", which illustrates a framework for developing adaptive capacity scenarios and integrating them into broader global climate scenario frameworks and processes.
Ultimately, these contributions pave the way for improved linkages between IPCC WGII and WGIII, enabling more integrated assessments of impacts, mitigation and adaptation, a critical frontier of IAM research.
Her contributions have broadened the scope of the IAM community into new areas of research and have been instrumental in bridging the gap with social science communities, a component of integrated assessment modelling that has long been difficult to address.
Recently, she also led the development of the SSP Extensions Explorer, a website that curates socioeconomic extensions to the SSP drivers to enrich the representation of socioeconomics in global change research.
Reference
Andrijevic, M., Schleussner, CF., Crespo Cuaresma, J. et al. (2023) Towards scenario representation of adaptive capacity for global climate change assessments. Nature Climate Change DOI: 10.1038/s41558-023-01725-1