The need for evidence-based decision making at all levels of government is perhaps greatest in fragile settings. Data deficiencies contribute to state fragility and exacerbate constraints on the capacity to provide basic services, public security, and the rule of law. The lack of robust, good-quality data can also have a disabling effect on government efforts to manage political conflict. Indeed, the lack of data can worsen conflict, since violent settings pose substantial challenges to knowledge generation, capture, andapplication.
The development of sustainable and professional data-literate stakeholders who are able to produce and increase the quality and accessibility of official statistics can help to improve development outcomes. Good quality and reliable statistics are required to track the progress of development policies through the monitoring of performance indicators and targets and to ensure that public resources are achieving results.
Although reliable data alone cannot have a transformative effect without the right contextual incentives, they constitute an essential prerequisite for greater accountability and more efficient decision making. This book explores methods and insights for data collection and use in fragile contexts, with a focus on findings from Sudan. It begins by posing several questions on the political economy of data and then sets out a framework for assessing the validity, reliability, and potential impact of data on decision making in fragile settings. It then provides insights regarding the challenges associated with data-driven decision making in Sudan, derived from the 2014/15 Department for International Development Sudanese household survey. Featured are data-driven analyses of diverse topics, from public service delivery to the interplay of governance, trust, andstate legitimacy. As the data revolution and the advent of the Sustainable Development Goals herald an increasing need to solicit the perceptions and experiences of program beneficiaries, the impetus to develop and deploy good quality survey instruments will increase.
This volume provides an important proof of concept that this type ofendeavor is both feasible and useful in fragile contexts and, in combination with other important data collection tools, can be effectively utilised to enrich the evidence base of decision making in these settings.
Hamilton, Alexander, and Craig Hammer, eds. 2017. Data-Driven Decision Making in Fragile Contexts: Evidence from Sudan. Directions in Development. Washington, DC: World Bank. doi:10.1596/978-1-4648-1064-0. License: Creative Commons Attribution CC BY 3.0 IGO xxii, 202p
Data-Driven Decision Making in Fragile contexts: Evidence from sudan