Emmanuel Nyadzi

Emmanuel Nyadzi is a PhD candidate (climate and environmental science) in Wageningen University and Research, Netherlands. He was initially trained as Agriculture Technologist with masters in Climate Change and Adapted Land Use. The central goal of his general research activities is to understand and model the complexities and impacts of climate and environmental change on natural and human systems. His research strives to address relevant scientific gaps while serving practical needs of society. He uses a multi-approach and multi-data research framework to answer complex climate change questions. Thus, possess extraordinary interdisciplinary skills in combining both quantitative and qualitative research methods in addition to interpretative tools (models). He has a great level of experience in using social participatory methods (structured interviews, survey, focus group discussions etc.) to inquire human perspective about key indicators of emerging climate and environmental issues. In addition, he has expertise in accessing, downscaling, analysing and interpreting large datasets of atmospheric re-analysis data, climate change projection data, weather and seasonal climate forecast data, remotely sensed satellite data. His PhD research focuses on harnessing indigenous people forecast knowledge and combine with scientific meteorological forecast to improve the accuracy and acceptability of weather and climate forecast information among smallholder farmers for adaptive water management and food production in Northern Ghana. He uses Citizen Science, Ethno-climatology, and fuzzy mental modelling approach to engage rural farmers as well as develop a novel approach to integrate scientific and indigenous weather and climate forecast. Furthermore, Emmanuel has research and publish papers that evaluate farmers’ perception of local climate change impact. His PhD research and other related studies fall in line with LICCI‘s core aim of deepening understanding of perceived climate change impacts and bringing indigenous and local knowledge into policy-making processes and influence international climate change negotiations.