This project aims to enhance the capacity of Malawi, Sri Lanka, and Nepal to utilize non-traditional data and integrated data sources for evidence-informed policy formulation in response to national and global crises. It underscores the critical importance of informed policymaking, aiming to bridge the gap between data developers and users while fostering effective coordination among stakeholders. By equipping these countries with tools and knowledge, the objective is to mitigate the impacts of food, fuel, and finance crises and contribute towards the achievement of the SDGs. The cost-of-living crisis, characterized by rising food prices, increasing energy costs, and tightening financial conditions, disproportionately affects vulnerable populations and perpetuates poverty cycles, impacting approximately 1.6 billion people.The project will support the three countries in building national statistical capacities, leveraging innovative sources, methods, and tools. It will draw upon experiences such as the Data for Now Initiative, guidance materials from the Inter-Secretariat Working Group on Household Surveys, and ongoing work on citizen-generated data and fast economic indicators under the UN Committee of Experts on Big Data and Data Science in Official Statistics. The project will also build on DESA’s experience in supporting countries in evidence-informed policy making.The project seeks to strengthen national statistical and data eco-systems and foster collaboration among different stakeholders. The project also aims to enhance data usage for crisis response policies by effectively utilizing data produced from nontraditional data sources and integration across data sources. The expected progress includes increasing the capacity of Malawi, Sri Lanka, and Nepal to produce and effectively utilize non-traditional data effectively for evidence-informed policy formulation. In this context, capacity-building programs for government officials and policymakers to enhance their data analysis skills and use of innovative data sources will be undertaken. This will help to enhance the use of innovative approaches, integration of data sources, in-depth analysis, and fostering stakeholder coordination and collaboration. The project will generate valuable insights through pilot and case studies, empowering these countries to develop and use evidence to make informed decisions and formulate policies for sustainable development.

The 75th session of the UN General Assembly recognized that the coronavirus disease (COVID-19) pandemic was one of the most significant global challenges in the United Nations' history and noted with deep concern its impact on people the society, and the economy. Thus, at the same session, the General Assembly endorsed a comprehensive and coordinated response to the COVID-19 pandemic (A/RES/74/306) that calls, i.e. for the development of new interoperable data tools and the strengthening of platforms to inform mitigation and response actions and continuously monitor the impact of the pandemic, mainly to assist people in vulnerable situations and the poorest and most vulnerable countries, to build a more equitable, inclusive, sustainable and resilient future. The Resolution further encourages building resilient, inclusive and integrated data and statistical systems, under the leadership of national statistical offices (NSOs), that can respond to the increased and urgent data demands in times of disaster and ensure a path towards the achievement of the 2030 Agenda for Sustainable Development and the Paris Agreement on climate change. The Project will explicitly address the call of the 75th session of the General Assembly to leverage SDG mechanisms and instruments, including statistics and data, to inform the COVID-19 response and recovery policy. It will also respond to the request addressed by NSOs in both surveys conducted by the WB and UNSD, jointly with the 5 UN Regional Commissions, to consolidate the institutional and organizational frameworks supporting efficient and effective governance and coordination mechanisms of NSS (NSS) and enhance the technical capacity to continue operating effectively and take advantage of the fast-evolving data ecosystem and digital infrastructure. The proposed Project will build on the successes and lessons learned from the Development Account 10th tranche on Statistics and Data (hereafter DA10 Statistics and Data), including the draft final evaluation findings regarding governance, coordination, and implementation modalities. The Project will bring together eight implementing entities of the Secretariat, capitalizing on their technical expertise and comparative advantages, with a common objective to help developing countries face the data challenges of the short- and longer-term development agenda. The specific data needs will also inform COVID-19 response and recovery policy at local, national, regional, and global levels. The Project is expected to improve the resilience and flexibility of NSS to collect, process and communicate data and statistics to inform COVID-19 response and recovery policy at local, national, regional, and global levels. Thus, the Project will address i) the infrastructure underlying the production of official statistics, such as the institutional environment in which NSS operate, quality standards, and the use of new technologies and innovative data sources such as Big Data and geospatial information, supported by agile and resilient statistical production architecture and IT infrastructure; and ii) specific data gaps that will require conceptual and methodological development and leveraging the leadership of the implementing entities in specific sectoral/thematic areas. The Project aims to leverage other initiatives to strengthen statistical capacities to have a higher multiplier effect and work in close partnership with the United Nations system, including the UN resident coordinator system, and other relevant multilateral and bilateral partners. The Project will target more specifically NSS and national geospatial agencies of least developed countries (LDCs), small island developing states (SIDS) and landlocked developing countries (LLDCs) as well as operate at inter-regional, regional, and sub-regional levels, where relevant.