The DSS for Bangladesh’s livestock sector, building on assessments of users’ information requirements vis-à-vis existing capacities and gaps, is targeted to respond to differential needs of various stakeholders (planners, policy- and decision-makers, extension workers, farmers, etc.), for seamless climate-informed short- to long-term decisions/actions at national and sub-national levels. The DSS for livestock sector in Bangladesh, upon its full development, is capable of i) interactive and threshold-based analysis of potential impacts of weather/climate parameters to climate-sensitive livestock elements; ii) generate element- and location-specific response options; and
The DSS development is anchored on public domain/open-source data and software, for scalability/replicability. It is linked to the Regional Resilience Data and Analytics Service (RDAS) for systems efficiency and complementarity; and artificial intelligence (AI)/machine learning (ML)-enabled for continual analytics enhancements. A technical working group (TWG) has been formed for sustained guidance and co-development of the DSS.