Dr Baqir Lalani is a Senior Research Fellow in the Food and Markets Department at the Natural Resources Institute (NRI) with experience in the economics/adoption process of improved practices; agricultural innovation systems and farmer decision making/learning processes in Sub-Saharan Africa, the Middle East and Central Asia. Baqir joined the NRI in 2016 after completing his PhD which explored the farm-level economics and adoption dynamics of Conservation Agriculture (CA) among smallholder farmers in Cabo Delgado, Mozambique.
Prior to pursuing his PhD, he spent six years' working for the Aga Khan Foundation (AKF) in Syria and Tajikistan. His role involved Monitoring and Evaluation (M&E) of rural development projects including related to specific value chains i.e. olives, cereals and livestock sectors (e.g. sheep fattening and poultry). Baqir has a keen interest in conducting interdisciplinary research related to sustainable intensification issues, post-harvest loss reduction and in understanding decision-making in smallholder households. He has long-term field experience in Mozambique, Syria and Tajikistan and has conducted consultancy assignments for the FAO, FCDO, WorldFish and the OIC.
Baqir has secured funding as PI from the University of Greenwich’s seedling fund to undertake a modelling exercise, in collaboration with a team from the Swedish University of Agricultural Sciences (SLU), using APSIM to explore different agricultural practices under several climate scenarios. More recently, he was also awarded funding (PI) from the Higher Education Innovation Fund (HEIF) to undertake further research in Mozambique (in collaboration with researchers from Michigan State University) to map farmers’ perceptions related to Conservation Agriculture (CA) practices using Fuzzy Cognitive Mapping (FCM), alongside on-farm measurements and remote sensing imagery.
Dr Lalani’s role at the University includes a contribution to research, teaching and consultancy, including involvement with undergraduate and postgraduate/ PhD supervision.