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Louise Glew

Lead Scientist, Monitoring & Evaluation

Louise Glew

Connect: Twitter

Media inquiries: communications@wwfus.org

Louise is the Lead Scientist for Monitoring and Evaluation at World Wildlife Fund (US), where she manages WWF’s monitoring and evaluation strategy. Louise’s research focuses on understanding the social and ecological impacts of conservation interventions in complex social-ecological systems. She has an interdisciplinary background, with expertise in arid rangeland ecology, social sciences and statistics. In addition to her research portfolio, Louise leads the implementation of an innovative, integrated monitoring, evaluation and learning strategy at WWF-US, known as the ‘M&E Roadmap’. Her current collaborative research projects include: understanding the linkages between conservation and poverty; empirical on social impacts of marine protected areas in Indonesia; the incentives and barriers for mainstreaming impact evaluation to support evidence-based conservation; and developing novel analytical techniques for predicting the impacts of conservation interventions.

Before working with WWF, Louise conducted her Ph.D. research in northern Kenya. She spent over a year living in a small blue tent, roaming the rangelands of northern Kenya, to understand the social impacts of community conservation among pastoralist communities.

“WWF is my laboratory. We convert conservation projects into real-world ‘experiments’ that allow us to learn how social and ecological systems work. In some ways, we’re becoming mechanics, learning how conservation projects work, and fine-tuning them for maximum impact.”

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More on Louise

Connect: Twitter

Media inquiries: communications@wwfus.org

Title

Lead Scientist

Education

• Ph.D. Environmental Science, University of Southampton
• Master of Environmental Science (First Class Honors), University of Southampton

Areas of Expertise

• Evaluating the impacts of conservation interventions
• Conservation social science
• Arid rangeland ecology
• Community-based conservation
• Statistics