Drivers of Smart Governance: towards evidence-based policy-making
When discussing what are the drivers for smart governance to achieve evidence-based policy-making, data governance and collaborative governance are identified as main elements for framing smart governance. These pillars are supported by legal framework, normative factors, principles and values, methods, data assets or human resources, and IT infrastructure. These aspects will guide a real time evaluation process in all levels of the policy cycle, towards the implementation of evidence-based policies.
The combination of data resources and human resources is the foundation for smarter decisions and evaluation of all stages of the policy cycle. In this sense, smart governance combines data-driven, people-driven (and further elements) for supporting decision-making in the policy cycle. Data can be used to predict the impact of policy-interventions, but due to the instability of human behavior the scenario can change and only a real time evaluation and stakeholder’s engagement in all stages of policy making can drive to better policies.
Governments act through their public administrations, which are guided by the existing governance structure that defines how decisions are made, which problems are given priority, and the degree of civil society participation. One of the major challenges is transforming the policymaking structure through ICT and Big data. This transformation is based on the idea of the policy cycle with focus on e-policy as the act of policymaking in e-government using e-governance processes, with the distinctive feature that evaluation happens as an integral part all along the policy cycle.
Adapted from:
[1] P. Parycek and G. Viale Pereira. 2017. Drivers of Smart Governance: towards to evidence-based policy-making. In Proceedings of DG.O 2017, Staten Island, NY, USA, June 2017, 2 pages.
[2] Höchtl, J., Parycek, P., & Schöllhammer, R. 2016. Big data in the policy cycle: Policy decision making in the digital era. Journal of Organizational Computing and Electronic Commerce, 26(1-2), 147-169.
