These papers take inspiration from Atkinson’s suggestion that monetary and multidimensional poverty levels and trends should be analysed jointly and, where possible, that mismatches between those identified as poor by each respective measure should be studied. 

These papers analyse trends of AF-based indices and subindices as measured by observed changes of these measures over time. Taking a step further, some of these papers also compute and analyse nowcasts and projections of these measures, primarily taking a mathematical approach to forecasting. 

These papers develop, apply, or interpret measures of multidimensional inequality - among the poor or across the society. They may study trends over time, or compare disparities across population subgroups. The indicators used often link to a Multidimensional Poverty Index (MPI). 

In addition to implementing multiple poverty cutoffs, multidimensional poverty measures can create nested measures in which the weights and poverty cutoff are sustained, but indicator deprivation thresholds are changed to illuminate a subset of the poor who are destitute, or a superset of the poor who suffer from serious but more ambitious deprivations.

These papers adapt the AF method to the measurement of wellbeing and happiness. 

These papers include gendered analyses of multidimensional poverty for indicators or MPIs related to children and/or adults and may include analyses of intrahousehold patterns by gender or deprivation status.  It also includes work on measuring women’s empowerment. 

A number of papers disaggregate the MPI by other vulnerable groups to ascertain how the level and composition of poverty varies for these groups at one level and/or over time. 

These papers document or critically engage with one or more policy uses of multidimensional poverty indices. 

These papers apply the MPI framework to evaluate the impact of specific programmes.

These papers study the joint distribution of indicators among the poor or among the society, to profile patterns of direct interlinkages between deprivations for the same household, illuminate these. Papers may explore how information on interlinkages may underline or make more precise and actionable information on the overall indicator composition of poverty. 

Missing dimensions research includes papers profiling dimensions of poverty that are often missing from standard household survey datasets but are important to poor participants. Belonging focuses in depth on analyses of belonging and social connectedness, including its measurement, its link to multidimensional poverty. Data gaps present critical and in-depth analyses of household survey questionnaire and data sources that might be used to extend multidimensional poverty measurement to new domains.