National statistics are an essential component of policy making. Yet many national statistical systems face challenges in collecting, producing, analysing and disseminating the data required for sustainable development. Furthering SDGs 10 and 15. This report introduce a pioneering approach to capacity development – Capacity Development 4.0 – that brings together new data stakeholders, does more to involve users and promotes a holistic view of statistical capacity development.
Detailed information on research and development (R&D) spending of the private sector is very limited, particularly when the interest is on small and medium enterprises or focuses on companies active in multiple technology areas. This lack of data poses challenges on the robustness of quantitative analyses and, as a consequence, on the reliability of evidences needed, for example, to support policy-makers in policy design. This paper proposes a patent-based method to estimate R&D expenditure in the private sector.
This case study shows the contribution of the Global Partnership for Sustainable Development Data to the Open Algorithms Initiative. It addresses how to unlock the potential of private sector data for public good purposed in a safe ethical, scalable and sustainable manner furthering goals 9 and 17.
This case study uses survey and satellite data to help better protect those working in agriculture in Kenya and Tanzania against drought and climate change, helping to advance SDG 2 and 13.
Partner content
United Nations University, November 2019.
Contributing to SDG 10 (Reduced Inequalities) and SDG 16 (Peace, Justice and Strong Institutions), this research prioritized engaging with young people as research partners in order to examine the needs of children exiting violent armed groups.
This white paper examines whether ambitious renewable targets and private sector financing is compatible in Europe over the next decade. It directly relates to SDG 7 - affordable and clean energy, and SDG 13 - climate action.
Research and commentary on artificial intelligence, contributing to goal 9 on industry, innovation and infrastructure, with particular focus on the technology-related targets.
Elsevier,
Bapon (SHM) Fakhruddin, Kate Boylan, Alec Wild, Rebekah Robertson, Chapter 12 - Assessing vulnerability and risk of climate change, Editor(s): Jana Sillmann, Sebastian Sippel, Simone Russo, Climate Extremes and Their Implications for Impact and Risk Assessment, Elsevier, 2020, Pages 217-241, 9780128148952
This book chapter advances SDG 13 by providing assessments of vulnerability and risk of extreme weather or climate events are essential in order to inform and implement appropriate prevention, adaptation, and mitigation strategies.
Legal identity for all – including women, children, and other vulnerable groups – is critical for achieving the SDGs. Linking Civil Registration and Vital Statistics (CRVS) with identity management systems can transform how governments empower and provide for their populations. This compendium brings together good practices from select countries that have made great effort in linking these systems and highlights the resulting benefits. This contributes to SDG 10 and 16.
The Africa Regional Data Cube (ARDC), based on the Open Data Cube infrastructure, is a technological innovation that layers 17 years of satellite imagery and Earth observation data for five African countries. This report identifies the key enabling environment, data management and sharing factors that affect the operationalization of the ARDC and makes recommendations to inform the scale-up of the technology, furthering SDGs 9 and 17.
