Decision Support System: Livestock Bangladesh


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.

Other Resources

Regional Resilience Data and Analytics Services (RDAS)

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).

Introduction to CARE for South Asia

The brochure gives an introduction about CARE for South Asia project, and informs about the target countries and sectors, and the expected project outcomes.