Phase one of research (2018-2022)
GI-ACE project aiming to harness the power of social networks to promote positive anti-corruption outcomes among health providers and users through behavioral interventions and dissemination of interventions through trusted and influential social networks.
GI-ACE researchers Dorothy Ndhlovu, Gilbert Siame, and Laura Nkula-Wenz reflect on the Qualitative Action Experiment (QAE) experiment conducted in Lusaka, Zambia, in partnership with the Centre for Urban and Regional Planning at the University of Zambia and the Zambian Institute of Planners.
How might knowledge about the centrality of informal social networks be used to inform the design of innovative anti-corruption approaches?
GI-ACE researchers explore the multitude of ways traders interpret bribery on East African borders. Especially for small-scale traders with perishable goods, the cost and time involved drive traders to seek out shortcuts.
GI-ACE project research in Malawi, Nigeria, and Tanzania shows that anti-corruption agencies’ independence has turned out to be a major impediment.
GI-ACE project on beneficial ownership and corruption in Nigeria investigating financial data to try to locate something that is not apparently observable—laundering the proceeds of corruption through disguising the beneficial owner—by removing from the picture what might be explained legitimately.
Takeaways from GI-ACE workshop on ‘Audit and Anti-Corruption Measures in India.’
Recent fieldwork in Tanzania and Uganda demonstrates the potential for data transparency to improve accountability will depend on commitment, not just to open data but also to pursue accompanying reforms that facilitate oversight and promote fair competition.
Reseracher Tom Mayne discusses GI-ACE project aiming to look at possible enabling or complicit practices regarding money-laundering in three different but related areas: banking, real estate, and reputation management.
Researcher Claudia Baez Camargo writes about GI-ACE project, we adopt two perspectives to explore the question, “What would anti-corruption practice look like if we shift the unit of analysis from individuals to networks?”