MAINSTREAM COURSES
Methodological approaches to poverty research: applications for policy and practice
This structured course offers a deep dive into the methodologies and practical applications of poverty research, equipping participants with the knowledge and skills needed for impactful policy and practice in poverty reduction. It addresses how advanced methodologies, such as UNICEF’s Multiple Overlapping Deprivation Analysis (MODA), the Multidimensional Poverty Index (MPI), and emerging configurational and comparative approaches, can be conceptualised for and applied to poverty research and programme monitoring.
Scope
Participants learn concepts and methodological tools to measure progress towards poverty reduction and sustainable development, and how to apply specific tools. The course includes applied sessions and detailed case studies, which provide insights into effective programme and policy implementation.
Course content
- Introduction to Poverty and its Measurement Issues: Overview of poverty definitions, characteristics, and measurement complexities
- Conceptualisation of Poverty: Exploration of child, adult, household, and national poverty measurements, and their specifics and perspectives
- Data Sources and their Applicability to Poverty Measurement and Monitoring: Identifying and deep diving into main data sources for child poverty measurement
- Main Methodologies for Poverty Measurement: In-depth examination of MODA, MPI, and other methodological tools for poverty measurement
- Alternative Methodological Tools for Poverty and Well-being Research: Comparative and configurational methodologies applied to poverty measurement and analysis
- From Measurement to Practice: The use of poverty research in policy and programme development, including monitoring, evaluation, and country-specific evidence
- Future Developments: Delving into future prospects and needs for data collection, analysis, and poverty research
Expected outcomes
Upon completion, participants will be able to:
- Define and measure poverty across different populations, identifying its main characteristics and measurement issues
- Develop robust poverty profiles and perform in-depth analyses, including disaggregation and sensitivity analysis
- Apply knowledge to policy and practice, contributing to the understanding of efforts towards poverty reduction and sustainable development
- Apply knowledge on disaggregated child poverty estimates according to country-specific needs and contexts.
Who is this course designed for?
This course is particularly suited to academics and researchers, national statistical office and statistical systems staff, including ministries working on data, statistics, and poverty measurement, and those working in international and non-governmental organisations in areas linked to poverty reduction and sustainable development.
Duration and location
The course is offered onsite for groups, with a minimum of 10 participants and a maximum of 15 participants. The number of course participants can be adapted on demand to accommodate specific needs and groups. Standard onsite courses run for a week. Exact dates are flexible and decided on a basis of demand.
The courses will be held on-site in:
- Brussels, Belgium, in May/June 2024.
- New York/Washington, Unites States, in September 2024.
- Bangkok, Thailand, in November 2024.
- Mexico City, Mexico, in January 2025.
If you book as a group, we can come to you!
Online courses
Remote courses are offered to groups and individuals, and are self-paced. Participants receive pre-recorded lectures, assignments, and interactive tutoring sessions with our experts.
Course fee
Onsite: €2,000.
This fee covers all course materials, lectures, and the certificate upon completion. It does not cover subsistence or accommodation costs.
Online: € 900.
This fee covers full access to all course materials, interactive lessons, and the certificate upon completion. For groups of 10 or more participants, we offer preferential rates. Please contact us for more information.
Eager to enrich your or your team’s skills? Sign up for this course or request more information here.
