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The seminars focused on HSRC projects that were underway in 2014-2015 and related work being done elsewhere at the time of the seminar. The seminars addressed latest research, identified research gaps, suggested new research agendas and explored potential policy relevance. This data set includes the proceedings of the 10 seminars of 2014-2015. The following themes were covered:

17 September 2014 - Knowledge Generation and Innovation in the Humanities

16 October 2014 - Measuring Multiple Deprivation at a Small Area Level in South Africa: A Springboard for Tackling Deprivation in the Eastern Cape

02 December 2014 - The Current State of the HIV/AIDS Epidemic in South Africa: Research Findings and Implications for Programme Development

09 December 2014 - Critical Perspectives on the ASSAf Humanities Consensus Report

02 March 2015 - Substance Abuse, Harm Prevention and Harm Reduction: Setting a Research Agenda

03 March 2015 - Spatial Measures of Socio-economic Inequality in South Africa

10 March 2015 - Human and Social Dynamics: The Role of the Social Sciences in Science Engagement

11 March 2015 - Public Engagement for Good Governance: The Role of the Humanities

24 March 2015 - (Un)healthy diets - A Tale of Misinformation or Competing Interests?

27 March 2015 - Food, Nutrition, and Care: Security During the First 1,000 days

This is aggregated data of individuals or households. The data originates from the South African censuses of 1996 and 2001 and covers the whole country at a municipal level. In order to calculate the aggregate poverty gap a cross tabulation of household income by household size, municipality and population group was drawn from the 2001 census.

The poverty gap of each poor household was summed to arrive at the aggregate poverty gap for each municipality.

This is aggregated data of individuals or households. The data originates from the South African censuses of 1991, 1996, 2001 and 2011, as well as the community survey of 2007. The geographical units were standardised to the 2005 municipal boundaries so that spatial measuring was consistent. The data therefore covers the whole country at a municipal level for different time periods. The major variables focus on employment status.

The data set consists of 156 variables and 257 cases. It contains the same socio-economic variables for different time periods, namely 1991, 1996, 2001, 2007 and 2011.

Combined ranking - municipalities were ranked for each year, i.e. 1991, 1996, 2001, 2007 and 2011, in terms of unemployment rate and assigned a rank value. The combined unemployment ranking is calculated by adding up the ranking per individual year.

Population density - this was calculated by dividing the total population of a municipality in 1991 by the area and the answer is expressed as number of people per square kilometer.

Urban - the number of urban people in an area in a specific year.

Rural - the number of rural people in an area in a specific year.

Per capita income - the per capita income in a specific area and year.

The linking of different census geographies was done by using areal interpolation to transfer data from one set of boundaries to another. The 2005 municipality boundaries were used as the common denominator and it is part of a spatial hierarchy developed by Statistics SA for the 2001 census.