Measuring poverty using collective intelligence

  • Status in-progress
  • Year 2016 - 2017
  • Category Government to Government

Problem statement:

While several international methodologies for measuring Multidimensional Poverty Index exist, making poverty data useful for policy making requires it to be relevant and applicable to the local context. Therefore, it is important to establish the dimensions of poverty which are relevant for the Republic of Moldova.

MiLab innovative approach:

Participatory approach to measuring multidimensional poverty

Innovations for change outcomes:

  • A more truthful measurement of human poverty by combining several crucial dimensions of deprivation including access to basic services, such as health, education, and others
  • Collective Intelligence integrated into policy making processes

Partners