Environmental Data Science
Turning environmental and climate data into insight.
Relevant areas: Python, GIS, Remote sensing, Satellite imagery, Statistics, Machine learning, Environmental data analysis, Climate data
Relevant skills: Python, R, GIS, Remote sensing, Statistics, Machine learning
Nature Restoration
Restoring ecosystems, habitats and biodiversity.
Relevant areas: Forestry, Ecological restoration, Wetland restoration, Wildlife conservation, Biodiversity monitoring, Habitat restoration, Rewilding
Relevant skills: Ecology, Conservation, Forestry, Field survey, Environmental science
Agriculture & Food Systems
Sustainable, regenerative and technology-driven food production.
Relevant areas: Regenerative farming, Precision agriculture, Agricultural robotics, Controlled-environment agriculture, Vertical farming, Soil science, Sustainable food production
Relevant skills: Agronomy, Soil science, Robotics, Horticulture, Data analysis
