Children in low- and middle-income countries are among those most at risk to the health impacts of
climate change, not least through undernutrition, which has serious long-lasting consequences for
individuals and society and may undermine decades of global health gains. Attribution science can
drive urgent societal action. However, it is currently limited in scope, focusing mostly on heat and
adult populations in high-income settings, largely because of the lack of accessible tools, methods,
data, and interdisciplinary expertise. To fill this research gap, this project will derive multiple climate
attribution datasets, advance process-based crop models, and apply econometric, epidemiological
and health impact assessment methods on underused data sources in order to quantify the already
occurring impacts of climate change on child health. These will be integrated into an interactive digital
open source tool (MILK). MILK will be co-designed in a series of workshops with the interdisciplinary
project team and scientists and stakeholders from West Africa, Central/Eastern Africa, and South
Asia. The attribution results will be set into the context of mitigation and adaptation options and
complemented with an intergenerational justice perspective.The involvement of policy makers will be
ensured throughout the project to advance the policy integration of the generated evidence.
Scientific guidance in deriving the
ATTRICI-DAMIP dataset; support in
producing the corresponding ISIMIP
protocol and writing the method and data
release paper; store the resulting model
output (e.g., from APSIM, DSSAT, CLM)
within ISIMIP; advertise wider application
of the input data&protocol and output data
for health impact attribution studies.
Mitglied der:
