About us
Toward inclusive, safe and sustainable development
Integrated Research on Disaster Risk (IRDR) is an international scientific programme cosponsored by the International Science Council (ISC) and the United Nations Office for Disaster Risk Reduction (UNDRR). The International Programme Office (IPO) of IRDR is supported by China Association of Science and Technology (CAST), Chinese Academy of Sciences (CAS) and the Aerospace Information Research Institute (AIR) of CAS.
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Mission
IRDR’s mission is to mobilize science for the reduction of all types of disaster risk; building resilience and reducing vulnerability by integrating risk science with climate change adaptation and mitigation and sustainable development. IRDR aims to usher in an inclusive, safe and sustainable world by promoting a better understanding of disaster risk and the effective use of risk science in decision-making.
Research Objectives
1. improve knowledge and understanding of risk and uncertainty that hamper progress toward inclusive, safe and sustainable development; 2. promote innovation in research and action, and explore effective solutions in DRR; and 3. build institutional capacity required under various socio-economic and cultural settings and development contexts for risk-informed sustainable development.
Governance
IRDR is oversighted by its Co-Sponsors, Donor and Host. The IRDR Scientific Committee (SC) provides overall guidance on the development and the implementation of IRDR Action Plans. IRDR IPO serves as the Secretariat of IRDR.
Community
Scientific Committee (SC), National Committees (NCs), International Centres of Excellence (ICoEs), Young Scientists Programme (YSP), in partnership with global DRR stakeholders
NEWS RELEASES
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Academician Prof. Peng CUI, Former IRDR Scientific Committee Member, Honoured with Sitara-e-Imtiaz by Pakistan
News
15 May 2026
Former IRDR SC Member, Prof. Peng CUI, has been awarded Pakistan’s prestigious Sitara-e-Imtiaz, one of the nation’s highest civilian honours for foreign scholars, at a formal award ceremony held at the Pakistani Embassy in Beijing, China.
IRDR ICoE-RE&SRT (Greece) Invites Papers for Session at Upcoming FEMISE 2026 Annual Conference
Opportunities
30 April 2026
The IRDR ICoE-RE&SRT (Greece) invites submissions for its session, “Sustainability Transitions in Times of Disruption: Economic Resilience, Risk, and Systemic Transformation”, at the upcoming FEMISE 2026 Annual Conference. The deadline for submission is 20 May 2026.
Data and Artificial Intelligence (AI) Internship Opportunity with UNDRR Regional Office in Bangkok, Thailand
Opportunities
30 April 2026
The UNDRR has an opening for a full-time internship dealing with Data and Artificial Intelligence (AI). The internship will be based at the UNDRR's Office in Bangkok, Thailand. The deadline for applications is 11 May 2026.
Fourth Issue of the IRDR Newsletter Now Available
News
27 April 2026
The fourth issue of the IRDR newsletter, which covers the first quarter of 2026, January to March 2026, is now available.
2nd National Digital Disaster Reduction Conference Convenes in Xi’an to Boost Smart DRR and Safe City Development
News
25 April 2026
The 2nd National Digital Disaster Reduction Conference was held in Xi’an, China on 25 April 2026, under the theme “Digital Disaster Reduction for Safe Cities”. The conference supports IRDR’s global efforts to strengthen digital and data driven approaches for disaster risk reduction.
IRDR and Scilight Press Join Forces for Open-Access DRR Knowledge and Capacity Building
News
24 April 2026
IRDR IPO and Scilight Press, a Beijing-based international academic publisher, signed a Memorandum of Understanding (MoU) on 23 April 2026, formalising a new strategic partnership focused on open-access DRR knowledge and capacity building.
IRDR publications
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IRDR Working Papers
16 March 2026
Scientific Outputs
19 January 2026
From 2023 to 2025, youth hackathons led by UNESCO and IRDR mobilized over 200,000 participants, yielding 100+ projects that blend AI and traditional knowledge into practical solutions like heatstroke warnings and flood prediction systems


