Multisectoral Collaboration in Implementation, Multi-Disciplinary Collaboration in Research Silo effect: sectoral work, no collaboration Exchange information but work separately Co-operation and co-ordination to achieve overall goals but separate data collection and analysis Joint planning and common conceptual framework, separate data collection and analysis but sharing results Joint planning and common conceptual framework, integrated data collection and analysis

AgriDiet Conceptual Framework

Challenges and Issues Institutional & disciplinary boundaries Incentive systems for researchers (e.g. publications in “main discipline”) Ownership and sharing of data Analytical understandings and frameworks, e.g. what “causes” under-nutrition? Methodological approaches – “positivist” vs “social constructionist”: tendency to under-value qualitative information Desire to test an intervention through experimental approach vs reality of multiple hard-to-control influences: what change do single interventions bring about? Ethical issues in testing interventions Policy relevance – great reality check: what do we have to offer? Have to allow time for research to provide good policy-relevant recommendations: ideally, 3-stage approach: (i) understand, (ii) try out & evaluate interventions, (iii) scale-up

Macro-micro Research and Analysis Framework (Hossain et al, 2013)