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1 August – 9 September 2022 | Online |
e-Learning course Introduction to the System of Environmental Economic Accounting (SEEA): Central Framework
This course introduces the SEEA Central Framework, the international statistical standards for measuring the interactions between the environment and the economy. By providing an internationally agreed standard with agreed concepts, definitions and classifications, the SEEA is an invaluable tool for compiling integrated information on the economy and the environment. The SEEA uses concepts, definitions and classifications consistent with the SNA in order to facilitate the integration of environmental and economic statistics. By doing so, the SEEA allows users to develop indicators (including SDG indicators) and conduct analysis on the economy-environment nexus.
4 July – 12 August, 2022 | Online |
e-Learning course Health Statistics for Monitoring Sustainable Development Goals (SDGs) 2022
Timely, reliable, and comparable health statistics are fundamental to monitoring the health status of the population and for developing, implementing, and evaluating health policies and practices that address health and health care. With the adoption of the 2030 Agenda for Sustainable Development, the need for high-quality data for the over 50 health and health-related Sustainable Development Goal (SDG) indicators has increased. The COVID-19 has impacted the health and well-being of populations all over the world and further underscored the need for real-time, good quality, disaggregated data to track health. Nonetheless, for many countries, limited statistical capacity continues to pose a major challenge for monitoring the health and health-related SDGs. The objective of this e-Learning course is to address this issue by providing a general understanding of the basic concept, methods and framework required to compile and monitor the health and health-related indicators.
11 April - 10 June, 2022 | Online |
e-Learning course System of Environmental Economic Accounting: Ecosystem Accounting (SEEA EA)
The course introduces the SEEA EA, the international statistical standard for organizing data about ecosystems, measuring ecosystem services, tracking changes in ecosystem assets, and linking this information to economic and other human activity. The SEEA EA framework takes a spatial approach to organizing information on ecosystems. It supports the compilation of indicators for several global policy frameworks including the 2030 Agenda for Sustainable Development and related SDG indicators and the Post 2020 Global Biodiversity Agenda. The SEEA EA complements the accounts compiled in the SEEA Central Framework (SEEA CF) and together, SEEA EA and SEEA CF, provide a comprehensive framework for organizing data on the relationship between the environment and economy.
7 March – 1 April 2022 | Online |
e-learning Course on Measuring material flows in the SDG
This course introduces concepts relevant to compiling economy wide material flow accounts (EW-MFA); it also covers the methodologies for the SDG indicators 8.4.1/12.2/1 and 8.4.2/12.2.2. EW-MFA represents a framework for describing the interaction of a domestic economy with the natural environment and the economy of the rest of the world in terms of flows of materials, waste and emissions. They are part of the broader System of Environmental Economic Accounting (SEEA) which is the international statistical standard for measuring the relationship between the economy and the environment.
14 February – 11 March 2022 | Online |
The Second Online Course on Crime Statistics from a Gender Perspective
The online course on crime statistics from a gender perspective will highlight basic concepts, methods and frameworks required to compile crime statistics in relation to gender and provide knowledge on the challenges and opportunities of working with different types of data sources (administrative data, sample surveys).
24 January - 4 March, 2022 | Online |
e-learning Course on Principles of Data Visualization for Official Statistics and SDG Indicators
The course provides an opportunity for participants to explore and comprehend the techniques of data visualization for data exploration as well as for data presentation. Participants will discover, evaluate and apply the rules of data visualization on devoted cases studies and also tackle the problem of visualizing complex data. The course proposes strategies for visualizing in multi-dimensions as well as presenting the practical methods for representing statistical indicators on maps or within dashboards.
10 January-18 February 2022 | Online |
e-learning Course on Compiling climate change indicators: an accounting approach
This course will focus on climate change indicators that can be compiled from environmental economic accounts. After a brief overview of climate change and, relevant polices and multilateral agreements, participants will learn how to compile various indicators that inform climate change. The focus of the course is on better understanding the relationship between climate change and economic activity. And the statistical framework that provides the concepts, definitions, and methodology for measuring this relationship is the System of Environmental Economic Accounting. In particular, participants will learn about physical supply and use tables for energy and air emissions, and indicators that can be compiled from these accounts. Other topics to be discussed include transaction accounts which can be used to derived expenditure type indicators such those on taxes on energy and pollution.