Chris Blackmore
Papers
2
Total Citations
12
H-Index
2
About
Chris Blackmore’s research focuses on systemic approaches to managing change and uncertainty in farming, food, and environmental systems. Her major contributions lie in developing learning systems that help stakeholders—including farmers, advisers, and policymakers—navigate complex, uncertain contexts through participatory and adaptive decision-making. Her work emphasizes the interplay between intuitive, value-based human judgment and more rational, systematic processes, as explored in her 2007 paper “People, robots and systemic decision making” (4 citations). A key recent paper, “Developing Learning Systems For Addressing Uncertainty In Farming, Food And Environment: What Has Changed In Recent Times?” (2018, 8 citations), synthesizes decades of evolving systemic methods initiated by diverse actors. Blackmore’s research is notable for bridging theory and practice, demonstrating how systemic thinking can empower communities to address real-world challenges. Her work has influenced both academic discourse and applied interventions in sustainable agriculture and environmental management. By highlighting the role of learning and collaboration, Blackmore offers valuable insights for researchers and practitioners seeking to foster resilience in socio-ecological systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2People, robots and systemic decision making4 citations · 2007