Participants may benefit from bringing their own laptop (but not essential).

Where do we stand

• Various disasters, both natural disasters and disasters caused by human actions, continue to occur in Indonesia, causing loss of community and government assets which increasingly burdens development. In dealing with geological disasters, the source of the threat in the form of earthquakes, volcanic eruptions and tsunamis cannot be prevented. Meanwhile, some of the people of this country still live in disaster-prone areas that could be in danger at any time.
• The issuance of Law No. 24 of 2007 concerning Disaster Management has raised hopes for progress in disaster management. The law explicitly regulates the rights and protection for the community, but does not mention the obligations for people living in Disaster-Prone Areas. This is a form of deficiency that must be immediately filled with actions to enlighten the awareness of the community in Kawasan Rawan Bencana (KRB) / Disaster Prone Areas about their obligations to take part in disaster management and increase their ability to anticipate these threats through easy-to-understand disaster risk reduction programs.
• Disasters are now the most real threat to a nation. If the threat to state sovereignty originating from other countries can be faced by implementing military service, then if the threat is in the form of a disaster, it can be implemented with Wajib Latih Penanggulangan Bencana (WLPB) or Mandatory Disaster Management Training.

Session Guiding Questions

1. How to increase public knowledge of potential disaster threats and increase awareness of disaster risk?
2. How to increase societal capacity through social engineering in disaster-prone areas?

The session will aim at technical officers and/or decision makers in the DRR sector, academia, and NGO. Participants may benefit from bringing their own laptop, with installed MS Office package.

Where do we stand

The INFORM initiative started in 2012 and includes organizations from across the multilateral system, including the humanitarian and development sector, donors, and technical partners. UNDRR so far has lead the creation of the INFORM Subnational models from Caucasus and Central Asia (the 2017 model and 2021 model update) and the South East Europe model in 2021. UNDRR is currently working to improve the model through a wider and improved selection of indicators and inclusion of local administrative units.  The model is also being updated for Central Asia.

Publication of the most recent results for both regions was in November 2021, followed by the creation of an interactive dashboard to support decisions makers use and process the results. In addition, several associated products were developed, such as an assessment of the health sector based on INFORM results for South East Europe countries, as well as an analysis and detailed overview of disaster risk in North Macedonia, which aims to form a base for further development of DRM in the country.

In the case of the subnational model for Southeastern Europe and Central Asia, progress is continuously communicated with counterparts in the region though an INFORM working group, the Disaster Preparedness and Prevention Initiative for South-Eastern Europe (DPPI SEE), the Center for Emergency Situation and Disaster Risk Reduction (CESDRR)  and bilaterally with Sendai Focal points and international partners. Also, links are being established with the initiatives currently present in the region (EU projects aimed for risk assessment at local level, MCR2030, UNDRR stress-testing) to broaden the impact.  In the medium term period, for INFORM success and institutionalization, it is critical to further mobilize stakeholders to contribute to the implementation the Sendai Framework by submitting their reports to the Sendai Framework Monitor, the creation of disaster loss databases (critical for risk models development) and development of DRR strategies at a national and local level.

Session guiding questions

1. How to mainstream use of the model for the countries involved? 
2. How can the use of the Index develop capacities, strengthen disaster reporting and databases creation?
3. How to enhance the use of the model in areas beyond DRM (support other sectors to use the full potential of INFORM)? 

Bring your own experiences of previous or potential future post-disaster assessments that you have worked on, and think about how the GRADE process may have aided or may help certain aspects of the assessment. 

Where do we stand 

Post-disaster damage assessments are critical tools that enable governments to better strategize and mobilize resources for a resilient recovery. They are executed around the world, in many forms, and by various stakeholders, including governments, private companies (mainly in the insurance/reinsurance industry), and international aid agencies. However, some assessments contain significant gaps in terms of detail and timeliness. For other traditional approaches, assessments are often limited in geographic coverage and scope and/or are less accurate, particularly in data-scarce environments of the developing world. Previously, the more detailed and accurate reports often require weeks or months to complete. Increasingly though, governments, donors, and other stakeholders need faster answers from damage assessments in order to prioritize response and mobilize resources. 

The award-winning innovative Global Rapid post-disaster Damage Estimation (GRADE) is a remote, desk-based approach that addresses many of the critical questions arising post-disasters within just two weeks, and on average with over 90% accuracy compared to ground-based surveys. GRADE provides an estimate of physical damages to housing, non-residential buildings and infrastructure primarily, followed by other sectors such as agriculture, as requested/required. The methodology utilizes disaster risk modeling techniques (typically used by the global re/insurance industry); historical damage data; engineering, census and socioeconomic survey data; as well as satellite imagery, drone footage, and other social media data to quantify damage estimates to a high level of detail. GRADE is able to provide a timely, independent, scientific, credible sectoral quantification of the spatial extent and severity of a disaster’s physical impact. The GRADE approach has been successfully deployed in over 25 recent disasters. Essentially, using disruptive technology it provides answers at one-tenth of cost and time to 90% accuracy to traditional methods. 

Session guiding questions

1. What is the GRADE methodology and what approaches does it adopt? 
2. What are the types of cases and perils in which the methodology can be applied? 
3. What opportunities exist for the application of the methodology in the period 2022-2025? 
4. How ready are certain countries and provinces ready for application of the GRADE process? 
5. What is the current state-of-art on open data portals in the disaster locations for hazard, exposure and vulnerability data and historic loss data for disasters? 

Understanding the cost of doing nothing, taking into account the economic impact of disasters and developing financial mechanisms are essential for local and regional governments to implement DRR activities and plan for resilience. However, many local governments face various constraints. For example, some do not have legal authorities to develop financial planning for resilience in their cities and territories, some are often budget constrained and have to address many urgent needs with limited resources, and some have little fiscal autonomy to set taxes and are heavily dependent on intergovernmental fiscal transfers. 

The mismatch between revenue and expenditures requires local and regional governments to develop a range of creative options for increasing financial resources and mobilize multiple local stakeholders and levels of governance to be able to implement DRR Action plans. This Learning Lab will invite participants to reflect on this challenge and discuss available options and resources for local and regional governments to integrate DRR and resilience building across all sectors and departments. 

It builds on the first resilience learning module, jointly developed and launched by UCLG, UNDRR and UN-HABITAT in 2020 to support localization of the Sendai Framework for Disaster Risk Reduction and which covers the Fundamentals of Resilient Governance and Development for Local and Regional Governments

Session guiding questions

1. Is your city or region threatened by disaster risks and the consequences of climate change?  
2. What could be the possible impacts in the short, medium and long term, taking into account financial, socio-economic and environmental factors 
3. Do you think your local government is able to integrate these future costs into their planning and actions today? Could it be better prepared to face crises and conflicts? 
4. What can local and regional government do to better mobilize financial resources to reduce disaster risk and enhance resilience? 

Participants may benefit from bringing their own laptop (but not essential).

Where do we stand

Multi Hazard Early Warning Systems (MHEWS) have made a substantial contribution to saving human lives and livelihoods from multiple hazards. However, even while countries have progressively invested more on such EWS, most of them have struggled to estimate their return on investment by effectively measuring the efficiency of MHEWS.

Recognising this, UNDRR and WMO are undertaking a joint initiative supported by CREWS, to help countries to better assess and monitor the effectiveness of their national EWS. For this purpose, a set of custom indicators, measuring effectiveness of MHEWS, have been developed for integration into the Sendai Framework Monitor (SFM). Countries have the option of using these indicators on a voluntary basis, as per their own individual contexts. The basic set of indicators have been reviewed by an expert working group including among others, members from both the hydrometeorological and DRR areas of work within the governments.

Currently a learning package is being developed, which will be piloted in the two regions of West Africa and the Pacific. This includes training on the global Target G of the Sendai Framework that is primarily focussed on EWS. This will be followed by training workshops in these regions and the Caribbean, targeted at Least Developed Countries (LDCs) and Small Island Developing States (SIDS) being organized in the sub-regions. This learning lab is being organized at the Global Platform 2022 in order for participants to build their capacities in SFM reporting on EWS and orient themselves on the latest offering from UNDRR and WMO to Member States on indicators for measuring EWS.

Session guiding questions

1. Demonstration of the tools 

Participants may benefit from bringing their own laptop (but not essential)

Where do we stand

The SFM data has also been used to develop a number of global reports such the High-Level Political Forum, the Secretary-General report on SDG Implementation.  The SFM data has also been used in partner-led UN publications e.g. WMO’s State of the Global Climate and State of Climate Services while SFM metrics have been referenced in FAO’s report on Impact of Disasters and Crises on Agriculture and Food Security.
The SFM has, hence, evolved as a central depository of official DRR statistics on enabling Member States to benchmark, measure and concretely track their progress in DRR and resilience building. 

Session guiding questions

1. Demonstration of the tools 

Participants may benefit from bringing their own laptop (but not essential)

Where do we stand

Nobody at GP2022 will deny the value of risk insight at local levels. Locally owned analysis builds trust, resilient behaviours and investment, and can unlock contingent risk finance and guide anticipatory action. However, it is also well-known that many of the most vulnerable communities have the least access to the tools and knowledge needed to quantify and manage their risks.

Session guiding questions

1. Demonstration of the tools.

Participants may benefit from bringing their own laptop (but not essential)

Where do we stand

Nobody at GP2022 will deny the value of risk insight at local levels. Locally owned analysis builds trust, resilient behaviours and investment, and can unlock contingent risk finance and guide anticipatory action. However, it is also well-known that many of the most vulnerable communities have the least access to the tools and knowledge needed to quantify and manage their risks.

Session guiding questions

1. Demonstration of the tools.

Participants may benefit from bringing their own laptop (but not essential).

Where do we stand  

Disaster loss databases provide a comprehensive picture of human, economic and infrastructural losses at subnational levels. UNDRR and UNDP have been supporting a disaster loss accounting system called DesInventar that was established in 1994. DesInventar has unique functionality and significant strengths, including a remarkable volume of data, generated consistently by over 110 countries over the last 25 years.  

These databases are nationally owned, with data on disaster impact collected and validated within the country. The system is based on collection and analysis of homogeneous disaster data at all scales (small, medium and large) and generated from the lowest administrative levels in a country. 

Following the adoption of the Sendai Framework, the system was enhanced, called DesInventar Sendai, to enable closer alignment with relevant targets and indicators of the Sendai Framework, enabling streamlined reporting. This enabled the reporting towards the targets A to D of the Sendai Framework which are focusing on accounting for disaster losses.

Session guiding questions

1. Demonstration of the tools 

Participants may benefit from bringing their own laptop (but not essential)

Where do we stand

The UN General Assembly resolution 69/283(2015) called on stakeholders to make specific and time-bound voluntary commitments, and entrusted UNDRR to publicize these commitments through a website. Thus, the online platform for the Sendai Framework Voluntary Commitments has been functioning as a tool for publicizing commitments by all stakeholders with specific deliverables, monitoring progress and sharing good practices. The platform has published 100 voluntary commitments thus far (as of 15 February 2022), involving 642 organizations implementing in a collaborative manner at local, national, regional and global levels. These 100 voluntary commitments have committed a total of 509 concrete deliverables. 

Building on the 1st report issued at the last GP held in 2019, the 2nd Analysis and Synthesis Report on the Sendai Framework Voluntary Commitments (SFVC) will be launched at the GP22. The report will include analysis of the above mentioned published 100 VCs by using various data gathered from these VCs including Sendai Priorities, Sendai global targets, SDGs, themes and issues, types of organizations, geographical scope and distributions etc. 

This report will inform the Mid-term review of the Sendai Framework regarding stakeholder contributions to the Sendai Framework Implementation by sharing identified trends and gaps by the analysis. Towards 2030, it is critical to further mobilize and incentivize stakeholders to contribute to implementing the Sendai Framework by submitting their voluntary commitments to the Sendai Framework Voluntary Commitments (SFVC) online platform.

Session guiding questions

1. How can stakeholders working on DRR use the SFVC online platform and find who are doing what and where? 
2. How can stakeholders submit their initiatives and achievements to the SFVC online platform, so that they can inform the public about their work.