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 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).

RDAS is a cloud-based, open-access visual data management and AI analytics platform develop by RIMES under the Climate Adaptation and Resilience (CARE) for South Asia Project for assessing, managing, and predicting climate risks, and adaptation opportunities and potential in South Asia.

The issue features the challenges in Nepal’s water management sector, building better roads in Bangladesh, and women leaders who adopt climate-smart agricultural practices in Pakistan.

This issue provides readers with a set of articles about how sectors are impacted by climate change, and how the project will support them achieve resilience.