ECePS - ERA Chair in E-Governance and Digital Public Services

Permanent URI for this collectionhttps://hdl.handle.net/10062/71906

ECePS kodulehekülg.

ECePS is a 5-year project funded by the EU to raise the research excellence and profile of the University of Tartu in addressing three questions:

• How to harness the benefits of digital transformation of government while minimizing the associated risks and ensuring security, privacy and equal access?

• How can obstacles that prevent governments from implementing e-governance systems be overcome?

• How can researchers and practitioners best utilize the vast amounts of data that is already being generated throughout the world (via existing public e-services)?

ECePS will do so by:

• Applying predictive analytics to existing e-governance systems to suggest improvements to evidence-based policymaking;

• Examining how e-governance data can be utilized to test the effect of specific policies on behavior in real time and not through ex-post impact evaluations;

• Identifying how real-time analysis of in-motion big data can be done while protecting citizens’ privacy and security;

• Examining the impact of e-participation in democratic systems;

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    On State-Level Architecture of Digital Government Ecosystems: From ICT-Driven to Data-Centric
    (Springer, Berlin, Heidelberg, 2021-05) Draheim, Dirk; Krimmer, Robert; Tammet, Tanel
    The \digital transformation" is perceived as the key enabler for increasing wealth and well-being by politics, media and the citizens alike. In the same vein, digital government steadily receives more and more attention. Digital government gives rise to complex, large-scale state-level system landscapes consisting of many players and technological systems { and we call such system landscapes digital government ecosystems. In this paper, we systematically approach the state-level architecture of digital government ecosystems.We will discover the primacy of the state's institutional design in the architecture of digital government ecosystems, where Williamson's institutional analysis framework supports our considerations as theoretical background. Based on that insight, we will establish the notion of data governance architecture, which links data assets with accountable organizations. Our investigation results into a digital government architecture framework that can help in large-scale digital government design e_orts through (i) separation of concerns in terms of appropriate categories, and (ii) a better assessment of the feasibility of envisioned digital transformations. With its focus on data, the proposed framework perfectly _ts the current discussion on moving from ICT-driven to data-centric digital government.