Stanislaus M. Kivai
Stanislaus M. Kivai is the head of the Institute of Primate Research, National Museums of Kenya. He is a Conservation Biologist & Primate Research Scientist. Dr. Kivai recieved his PhD in Anthropology at Rutgers University in New Jersey state. His research interests span from natural resources and biodiversity conservation and Nutrition and behavioral ecology to Climate change and impact on local livelihoods.
2019 –Current: Community Conservation and Outreach in the Lower Tana River, Kenya; Project focus - Community Conservation and Education; Role - Community sensitization, Education and engagement in Restoration activities
2014 - Current: Nutrition Ecology and feeding behavior of the endangered Tana River primates; Project focus – Primate nutrient intake and estimation, Foraging goals analysis, and Nutritional influence on Behavioral patterns; Role - Nutritional sample collection, food nutrient content analysis, nutrient intake estimation, and behavioral monitoring.
August 2019: Conservation and Sustainable Livelihoods Analysis in Chyulu Hills Ecosystem, in Kibwezi Sub-county, Kenya; Project focus - Community and Livelihoods; Role: Mobilizing local communities for workshops, Livelihoods mapping, linking communities with other key conservation partners in the area.
2017 - Current: Effects of Land use Changes and Climate Change on Biodiversity and zoonotic infections in Laikipia, Kenya; Project focus - Climate change and Zoonosis; Role - Project leadership, field data collection, animal trapping and sample collection, and data management
2010-2015: Epidemiological surveillance of zoonotic diseases in wild primates at the human-wildlife interface in Tsavo-Chyulu Ecosystem and lower Tana River Kenya: Project focus - Zoonosis & community education; Role - Field data collection, community education and sensitization on zoonosis
2009 – 2011: Biodiversity and local livelihoods surveillance in Chyulu hills ecosystem; Project focus - Biodiversity and livelihood mapping; Role – Project leadership, field data collection, and analysis.