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Biography

Dr. Daniel Henn is a Postdoctoral Researcher in Land Use Modelling at the University of Galway. He holds a BSc in Earth sciences from the University of Mainz, MSc in Soil & Water Management from the Swedish University of Agricultural Sciences (SLU) in Uppsala, and a PhD in Sustainable Food Systems from the University of Limerick. As part of the FORESIGHT project, Daniel’s research focuses on circular agri-food systems and future-oriented land use configurations.

Research Interests

My research examines food production and pathways to improve their sustainability from farm to global scale. I am particularly interested in the environmental and land use implications of food systems, using holistic and future-oriented thinking that considers all aspects of resource efficiency, circularity, and sustainability. My work draws on a range of modelling methods, including life cycle assessment (LCA) and integrated assessment modelling, supported by Python-based analysis.

Education/Academic qualification

B.Sc., M.Sc, Ph.D.

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  1. SDG 2 - Zero Hunger
    SDG 2 Zero Hunger
  2. SDG 6 - Clean Water and Sanitation
    SDG 6 Clean Water and Sanitation
  3. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy
  4. SDG 8 - Decent Work and Economic Growth
    SDG 8 Decent Work and Economic Growth
  5. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure
  6. SDG 12 - Responsible Consumption and Production
    SDG 12 Responsible Consumption and Production
  7. SDG 13 - Climate Action
    SDG 13 Climate Action
  8. SDG 14 - Life Below Water
    SDG 14 Life Below Water
  9. SDG 15 - Life on Land
    SDG 15 Life on Land
  10. SDG 17 - Partnerships for the Goals
    SDG 17 Partnerships for the Goals

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