This project aims to strengthen capacity of four developing countries to develop and implement integrated forest landscape restoration plans to halt deforestation, tackle its drivers and its intensifying factors, and make progress towards the forest-related SDGs. It also aims to build capacity for developing and implementing policy measures for enhancing mobilization of public and private sector investments into forest landscape restoration. The expected outputs include background situation analysis studies on the status of forests, levels and drivers of deforestation and forest degradation, forest management and forest landscape restoration and other measures to combat deforestation; national experts with capacity to develop and implement integrated forest landscape restoration plans; national policy frameworks and  measures for attracting and harnessing public and private sector investments in forest landscape restoration; and development and dissemination of tool kits and training materials to other additional countries to promote upscaling of these activities beyond the project countries.

As a set of interconnected goals, monitoring and measuring the progress towards the Sustainable Development Goals necessitates the use of integrated frameworks. The United Nations System of Environmental-Economic Accounting (SEEA) is an international statistical standard which integrates economic and environmental information into a common framework to measure the contribution of the environment to the economy and the impact of the economy on the environment. The SEEA provides countries with a framework to derive internationally comparable sets of statistics and indicators, supporting measurement of progress towards the SDGs as well as the Aichi Targets, green growth etc.  The project aims to address the technical and institutional barriers to the establishment of routinely produced environmental-economic accounts at the national level by national statistical offices. Project activities will focus on: building the institutional framework in support of SEEA implementation, taking into consideration existing initiatives and activities in the countries and policy priorities; building capacity in the countries to compile selected accounts on a regular basis, while contributing to the development of SEEA compliant global databases; fostering inter-institutional relationships to promote collaboration and data-sharing in producing the accounts; and promoting the effective communication and use of the accounts in supporting evidence-based policy and the SDGs. The project will support up to six developing countries from four different sub-regions—Northern Africa, Eastern Africa, Eastern Asia and Southern Asia—to ensure geographic diversity and multiplication effects in the various regions. Of these six countries, the project will build on initial assistance provided to two countries in Eastern Africa, Kenya and Uganda, during the 9th tranche of the Development Account. Finally, the project will include South-South collaboration fellowships, to allow project countries to visit and learn from each other. 

The Data For Now initiative (Data4Now) aims to develop countries’ capacities to deliver the information needed by local and national policy and decision makers to achieve the 2030 Agenda and make a positive difference in people’s lives.  To this end, it supports members of the national statistical systems in participating countries to collaborate more effectively with local, national and global partners from intergovernmental organizations, academia, civil society and the private sector, in order to leverage innovative sources, technologies and methods for the streamlined production and dissemination of better, more timely and disaggregated data for sustainable development. The initiative, which was launched by UN Deputy-Secretary General Amina Mohammed on 25 September 2019 on the sidelines of the United Nations General Assembly, seeks to enhance collaboration and promote synergies across increasingly complex data systems, supporting the mainstreaming of data innovations into official statistical production processes, including geospatial information, big data and other non-traditional data sources.  It is co-led by a core team consisting of the United Nations Statistics Division (UNSD), the World Bank, the Global Partnership for Sustainable Development Data (GPSDD), and the Sustainable Development Solutions Network (SDSN). A set of eight trailblazer countries from 3 continents have already joined the initiative, namely: Bangladesh, Nepal, Mongolia, Paraguay, Colombia, Ghana, Rwanda and Senegal. Data4Now is about accelerating the sustainable use of robust new methods and innovative tools that improve the timeliness, coverage, and quality of SDG data through collaboration, partnerships and capacity development. It draws closely from the learnings of previous and ongoing work carried out by UNSD, the World Bank, GPSDD, and SDSN, and has been designed with inputs from government, civil society, academic and private sector partners.  An inception workshop of the Data4Now initiative was hosted by the National Institute of Statistics of Rwanda, in Kigali, Rwanda, on 13-14 November 2019. In this inception workshop, funded jointly by the four core partners, representatives from national statistical systems in the eight trailblazer countries, as well as partners from the private sector, academia and international identified priority needs and deliverables, and explored possible partnerships and solutions around data, technology and methods with highest potential impact to attain those deliverables. Building on the outcome of the inception workshop, the UNSD, in close coordination with other Data4Now core partners, has developed a plan of action to build the capacity of Colombia and Senegal, two Data4Now trailblazer countries that are also priority target countries for the Italian development cooperation. This  plan of action foresees specific activities to support the collection, analysis and use of accurate, inclusive and up-to-date data for the SDGs on two priority themes identified by their respective national statistical system authorities, namely (1) measurement of poverty indicators among difficult-to-reach population groups, and (2) production of disaggregated and timely crop-yield estimates.