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Item Open Access A developmental evaluation framework for transdisciplinary teams and institutes(Colorado State University. Libraries, 2024-01-22) Mook, Anne, author; Aldrich, Heather, author; Cross, Jennifer, authorDevelopmental evaluation emphasizes iterative learning and continuous feedback, enabling teams to refine their approaches in real time (Patton 2010). This is vital in environments where initial hypotheses and methodologies might change significantly. The team scientist plays a crucial role in driving the project's success. Team scientists facilitate continuous learning and adaptation, ensuring the team remains agile and responsive to new insights and changing research landscapes. We employ qualitative, quantitative, and social network methods, providing a comprehensive assessment that captures the complexity of the team's dynamics and research outputs.Item Open Access How social networks impact agricultural land stewardship in Iowa(Colorado State University. Libraries, 2024) Luxton, India, author; Ellis, Ellie, author; Arnold, Parker, author; Shakya, Prasiddha, author; Lee, Juliet, author; Ravetta, Emilia, author; Toombs, Ted, author; Mook, Anne, author; Cross, Jeni, authorTwo-page summary of findings of a social network study to explore conservation practices among farmers in Iowa.Item Open Access Agricultural conservation networks in Iowa(Colorado State University. Libraries, 2023-09) Luxton, India, author; Ellis, Elizabeth, author; Arnold, Parker, author; Shakya, Prasiddha, author; Lee, Juliet, author; Ravetta, Emilia, author; Toombs, Ted, author; Mook, Anne, author; Cross, Jeni, authorIowa's farmlands, celebrated for their remarkable agricultural productivity, are facing pressing environmental challenges, including soil erosion, waterway nitrogen pollution, and vulnerability to extreme weather events. These issues imperil the state's agricultural sector's long-term sustainability and economic stability. Despite substantial investments from governmental and non-governmental entities to encourage conservation practice use, adoption rates remain persistently low. In this report, we use quantitative, qualitative, and social network analysis on a sample of 38 farmers to understand how social networks shape their adoption of conservation practices. We analyze data through a systems framework and compare counties with high- and low-adoption of conservation practices to assess influences from the individual farmer level to the broader societal context. We conclude with a discussion of strategic implications to promote conservation adoption.