Newsletters – In the first edition

The ACEIR model

4 June 2019

The ARUA Centre of Excellence for Inequality Research is configured as a hub-and-spoke model. The University of Cape Town hosts the hub, as well as the South African node, with two strong research centres based at the nodes at the University of Ghana, Legon and the University of Nairobi. The research groups and members of the three research nodes bring together internationally eminent African scholars who are influential researchers in their country contexts and have excellent research connections to their respective national statistical offices.

ACEIR sets sights on development goals

4 June 2019

The potential contribution of the ARUA Centre of Excellence for Inequality Research (ACEIR) to evidence that will inform Africa’s progress towards achieving the United Nations’ Sustainable Development Goals has received a substantial boost. This comes as each of the 13 ARUA Centres were invited to submit multi-million pound funding proposals to support capacity building and partnerships. The funding is made available through ARUA’s partnership with the Global Challenges Research Fund (GCRF), funded by UK Research and Innovation (UKRI), which will channel a total of £22.8 million to the ARUA centres.

Addressing the data challenge

4 June 2019

Given the current frailties of African data, a foundation of ACEIR’s work in each node is getting the data right. This will require frontier data scholarship and holds great possibilities for capacity development across the continent.

Plans are underway to support ACEIR partners and its network to create their own data hubs. Leading this work is Prof. Martin Wittenberg and colleagues at DataFirst, based at the University of Cape Town. DataFirst has over 20 years’ experience in the curation and dissemination of data and is the only data service on the continent to have achieved the CoreTrustSeal certification as a trusted repository. Over the last decade DataFirst has also developed a specific competence in the assessment of data quality issues and in the harmonisation of data.