RRC.AP, in collaboration with United Nations Office for Disaster Risk Reduction (UNDRR) and the Educational Partnership for Innovation in Communities Network (EPIC-N) with financial support from Ministry of the Environment Japan (MoEJ) organized a five days regional training workshop from 24 – 28 February 2020 at the Sukosol Hotel, in Bangkok, Thailand. This workshop on Building Cities' Resilience to Climate and Disaster risks targeted representatives from national and local government agencies, national or local universities and civil societies.

This event was organized to:

1. Introduce Making Cities Resilient (MCR) global campaign and tools under UNDRR Ten Essentials for Making Cities Resilient and involve participants to create city resilience action plan.
2. Increase political commitment and social demand for climate change and disaster resilient development in line with Sustainable Development Goals (SDGs).
3. Introduce the Asia-Pacific Adaptation Information Platform (AP PLAT) as a source of open data and useful tools such as the S8 Si-CAT Down-scaler software.
4. Introduce EPIC - N; its structure, operation method and brainstorm way forward.

Participants representing cities from Bangladesh, Indonesia, Maldives, and Nepal gathered to strengthen their knowledge on making their respective cities resilient to climate and disaster risks. The workshop included presentations on the MCR global campaign, UNDRR's ten essentials for making cities resilient, and tools including the disaster resilience scorecard for cities and the Quick Risk Estimation (QRE) tool. Participants from each country used the disaster resilience scorecards to assess their respective city and draft a safe and resilient city action plan. City teams presented their draft Action Plans and discussed objectives, an action plan to meet those objectives, indicators identified and set targets. Further the EPIC-N team introduced their model to the participants, its structure and operation modality and tasked attendees to identify all the stakeholders required to implement this model in their respective countries.