The fully-developed RDAS is targeted to provide a public-domain, cloud-based, artificial intelligence (AI)/machine learning (ML)-enabled platform for consolidating open data and analytics relevant for climate-informing key sectoral policies, decisions and investments in SAR countries (i.e. Afghanistan, Bangladesh, Bhutan, India, Maldives, Nepal, Pakistan, and Sri Lanka). At its completion, RDAS can: i) provide easy access to climate (historical, projections, etc.), and key sectoral elements data, at various levels of disaggregation; and ii) allow users to select climate and key sectoral elements data at applicable disaggregation, and apply analytics, to evolve required guidance (including, but not limited to, inferences, potential impacts outlook, and response options) for resilience-geared policies, decisions and investments.
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.