Survey on the regional implementation of the Sendai Framework Science Technology Roadmap

The purpose of this survey is to track the progress of the Asia and Pacific regional implementation of the Sendai Framework Science Technology Roadmap from a wide range of stakeholders. The analyses of the survey will be presented at the 2020 Asia Pacific Science and Technology Conference for Disaster Risk Reduction on 16-17 March 2020, in Kuala Lumpur, Malaysia. Additionally, we will make the results available through the APSTAAG website.

The below survey consists of 2 sections: (I) General Information (II) Regional Implementation of Actions.

The estimated time for completing the survey is approximately 15-20 minutes.

If you have any difficulties in interpretation of terminologies, please refer to the definitions of UNDRR on disaster risk reduction via the link: https://www.unisdr.org/partners

* In what country do you work or study?

Part I General Information

* What is your gender?

Female
Male

* What is your age?

* What category of organization would you prefer to identify yourself?

National Government
Inter-Governmental Organization
United Nations
Stakeholders

* What type of stakeholder would you prefer to identify yourself?

* Name of the Organization?

The name of your organisation will be kept anonymous.

* Name of the Ministry?

The name of your organisation will be kept anonymous.

* Which priority for action are you interested in? 【Multiple】

Priority for Action 1. Understanding disaster risk
Priority for Action 2. Strengthening Disaster Risk Governance to Manage Disaster Risk
Priority for Action 3. Investing in Disaster Risk Reduction for Resilience
Priority for Action 4. Enhancing Disaster Preparedness for Effective Response, and to “Build Back Better” in Recovery, Rehabilitation and Reconstruction

Part II Regional Implementation of Actions

* Regional Implementation of Priority for Action 1. Understanding disaster risk

[State of data, scientific, local and indigenous knowledge and technical expertise are assessed, updated and available on spectrum of Sendai hazards]
	1-Poor	2-Fair	3-Good	4-Very good	5-Great
1.1.1 Promote integrated and multi- disciplinary research					
1.1.2 Conduct solution-driven research at all levels that involves the users in the earliest stages					
1.1.3 Establish/link existing and update/maintain global databases					
1.1.4 Develop methods, models, scenarios and tools					
1.1.5 Integrate risk assessments across sectors					
1.1.6 Promote scientific focus on disaster risk root causes, emerging risks and public health threats, insurance and social protection and safety nets					
1.1.7 Analyse ethics of scientific input					
1.1.8 Adopt a multi-hazard approach that integrates lessons learned, including trans-boundary, biological and technological and Natech hazards					
	1-Poor	2-Fair	3-Good	4-Very good	5-Great
[Scientific evidence is synthesized, produced and disseminated in a timely and accessible manner that responds to the knowledge needs of policy-makers and practitioners]
1.2.1 Develop evidence-based research on effective dissemination strategies for informed decision and policy- making.					
1.2.2 Promote access to data, information and technology					
1.2.3 Integrate traditional, indigenous and local knowledge and practices					
1.2.4 Develop partnerships between all S&T and DRR stakeholders, and integrate gender equality					
	1-Poor	2-Fair	3-Good	4-Very good	5-Great
[Scientific data and information support are used in monitoring and reviewing progress towards disaster risk reduction and resilience building]
1.3.1 Link Science and Technology progress to Sendai Monitoring indicators, and report using online voluntary commitment system					
1.3.2 Promote coherence in data collection and M&E indicators with SDGs and Paris Agreement					
1.3.3 Develop a liaison group between the DRR community and the major global assessments, such as IPCC 6th Assessment Report and other related assessment.					
	1-Poor	2-Fair	3-Good	4-Very good	5-Great
[Better capacity in all sectors and countries to access, understand and use scientific information for better informed decision-making]
1.4.1 Build national and local capacities for the design, implementation and improvement of DRR plans					
1.4.2 Promote inclusiveness, interdisciplinary, and inter- generational participatory approaches					
1.4.3 Develop expertise and personnel to use data, information and technology					
1.4.4 Promote the development and use of standards and protocols, including certifications					
1.4.5 Utilize knowledge resources of S&T community for effective education programs on disaster risk reduction for scientists, practitioners and communities					
1.4.6 Promote systems approaches in understanding disaster for better informed decision					

* Regional Implementation of Priority for Action 2. Strengthening Disaster Risk Governance to Manage Disaster Risk

[State of data, scientific, local and indigenous knowledge and technical expertise are assessed, updated and available on spectrum of Sendai hazards]
	1-Poor	2-Fair	3-Good	4-Very good	5-Great
2.1.1 Consider root causes of risk and inputs from traditional knowledge for decision-making					
2.1.2 Promote disaster risk assessment in spatial planning and development both in public and private sectors and increase participation of civil society for this process					
2.1.3 Integrate climate change adaptation & DRR and other relevant sectors (such as well-being, environment, health, economy, etc.) in governance mechanism					
2.1.4 Develop flexible governance system to adapt to emerging risks and climate change					
2.1.5 Promote the assessment of ecosystem-based development options					
	1-Poor	2-Fair	3-Good	4-Very good	5-Great
[Scientific evidence is synthesized, produced and disseminated in a timely and accessible manner that responds to the knowledge needs of policy-makers and practitioners]
2.2.1 Promote dialogue and networking on DRR between scientists, academia, policy- makers, civil society, media, business and private sectors at regional, national and sub- national level					
2.2.2 Raise scientific awareness and improve understanding					
2.2.3 Establish an understandable, practical, evidence based scientific knowledge is needed for all actors					
2.2.4 Improve access to data on DRR generated by international organizations, S&T communities, governments and different levels and stakeholders					
	1-Poor	2-Fair	3-Good	4-Very good	5-Great
[Scientific data and information support are used in monitoring and reviewing progress towards disaster risk reduction and resilience building]
2.3.1 Strengthen the engagement of S&T in national coordination and promote sub-national implementation.					
2.3.2 Promote disaster risk assessment in planning and development					
2.3.3 Promote participatory monitoring mechanism involving civil society organization and local communities					
	1-Poor	2-Fair	3-Good	4-Very good	5-Great
[Better capacity in all sectors and countries to access, understand and use scientific information for better informed decision-making]
2.4.1 Promote dialogue and networking on DRR between scientists and policy-makers, civil society and business					
2.4.2 Raise scientific awareness and improve understanding, considering future risk					

* Regional Implementation of Priority for Action 3. Investing in Disaster Risk Reduction for Resilience

[State of data, scientific, local and indigenous knowledge and technical expertise are assessed, updated and available on spectrum of Sendai hazards]
	1-Poor	2-Fair	3-Good	4-Very good	5-Great
3.1.1 Assess & update the status of mainstreaming science & technology in DRR					
3.1.2 Provide funding for science & technology in DRR to enhance knowledge, research, technology transfer					
3.1.3 Assess the impact of investment of S&T in DRR					
3.1.4 Include scientists of all disciplines in analyzing investment in DRR as well as climate change adaptation, including loss and damages					
3.1.5 Conduct research, develop tools, explore challenges in S&T in DRR					
	1-Poor	2-Fair	3-Good	4-Very good	5-Great
[Scientific evidence is synthesized, produced and disseminated in a timely and accessible manner that responds to the knowledge needs of policy-makers and practitioners]
3.2.1 Promote various means of science communication for decision-making & policy makers					
3.2.2 Promote changing roles of science and reflective practices of implementation that will contribute to the effectiveness of disaster risk reduction					
	1-Poor	2-Fair	3-Good	4-Very good	5-Great
[Scientific data and information support are used in monitoring and reviewing progress towards disaster risk reduction and resilience building]
3.3.1 Monitor science & technology investment in DRR as an integral part of national plan & policies					
3.3.2 Collect information on voluntary evaluation of S&T investment achievements periodically in collaboration with S&T partners					
3.3.3 Support innovations in earth observation and geospatial data for risk profiling and decision making					
	1-Poor	2-Fair	3-Good	4-Very good	5-Great
[Better capacity in all sectors and countries to access, understand and use scientific information for better informed decision-making]
3.4.1 Encourage & enhance capacity of stakeholders in DRR to increase investment in science & technology					

* Regional Implementation of Priority for Action 4. Enhancing Disaster Preparedness for Effective Response, and to “Build Back Better” in Recovery, Rehabilitation and Reconstruction

[State of data, scientific, local and indigenous knowledge and technical expertise are assessed, updated and available on spectrum of Sendai hazards]
	1-Poor	2-Fair	3-Good	4-Very good	5-Great
4.1.1 Promote multi hazards early warning systems with improved climate information, aerial and spatial data, emergency response services and communication to end users					
4.1.2 Develop and share best practices in new threats and risks (including infectious diseases) to inform preparedness planning.					
4.1.3 Identify, collect and analyze case studies and assess options to strengthen recovery and rebuilding efforts.					
4.1.4 Collaborate with the humanitarian community in exploring best practice for survivor led response and reconstruction					
	1-Poor	2-Fair	3-Good	4-Very good	5-Great
[Scientific evidence is synthesized, produced and disseminated in a timely and accessible manner that responds to the knowledge needs of policy-makers and practitioners]
4.2.1 Develop, disseminate information and practices on contingency planning and protection of critical infrastructure including the promotion of build back better approach in recovery, rehabilitation and reconstruction					
4.2.2 Inform national disaster risk reduction plans and strategies that focus on community preparedness and awareness, including the needs of women, children, people living with a disability and the elderly in vulnerable situations					
4.2.3 Review and share build back better indicators among the relevant stakeholders					
	1-Poor	2-Fair	3-Good	4-Very good	5-Great
[Scientific data and information support are used in monitoring and reviewing progress towards disaster risk reduction and resilience building]
4.3.1 Identify and address the need for, and gaps in, early warning systems in the least developed countries and the small island developing states					
4.3.2 Incorporate build back better in insurance policies					
	1-Poor	2-Fair	3-Good	4-Very good	5-Great
[Better capacity in all sectors and countries to access, understand and use scientific information for better informed decision-making]
4.4.1 Institutionalize effective recovery and reconstruction as strategies to reduce risk and promote resilient developments.					
4.4.2 Promote science based decision making for resettlement processes.					
4.4.3 Generate and utilize scientific information to gain prior public consensus on post- disaster actions and to enable their smooth implementation after a disaster					