SOURCE-LINKED INTELLIGENCE

Can blue economy interventions mitigate rural poverty and outmigration in land-drying eastern Africa?

CORDIS · observation · Publication date unknown

eveloping a sustainable blue economy providing alternative resources and livelihoods. To test this core hypothesis, we will rely on a long-term causal inference framework combining satellite imagery, artificial intelligence algorithms, and spatial matching statistical methods, but also multidisciplinary field surveys. More precisely, BLUE-AFRICA has the ambition to quantitatively and causally assess on the long term whether (i) maintaining productive coral reefs through the establishment of fisheries management, (ii) investing in mariculture, or (iii) developing nature-based tourism can be potential transformation pathways on the eastern African coast to improve wealth assets and prevent outmigration when arable land and terrestrial resources are vanishing under climate change. Four main objectives will be reached: 1. Mapping and characterizing all rural socio-ecological systems (RSES) on the coasts of Madagascar, Mozambique, and Tanzania, but also blue economy activities. 2. Building, testing and validating artificial intelligence algorithms accurately predicting the level of human

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recordType

award

status

SIGNED

region

EU

value

2497250

unit

EUR