Browsing by Author "Alishani, Art"

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    Automated impact assessment - How digitizing government enables rapid and tailor-made policy responses
    (Association for Computing Machinery (ACM), 2022-09-14) Maksimova, Mariia; Alishani, Art; Solvak, Mihkel; Krimmer, Robert
    As interest in the digital transformation of public administration grows, the main challenge remains to improve government governance systems and integrate a wider range of evidence into decisionmaking processes. The successful digitalization and application of such approaches improves the quality, responsiveness and flexibility of public administrations. The digialtization of processes has made it possible to use micro-level data to assess the impact of a policy or program and apply the feedback to improve the design and delivery of public services. Evidence-based policy-making evaluates programs based on their visible impacts. Large-scale data collected through digitized governance, coupled with econometric impact assessment, provides an ideal working toolkit for this. However, the current situation of European governments is one of slow adoption, as they are often slow to respond to new challenges. This is due to the static one-off impact assessment approaches used, the results of which quickly become outdated. With further digitalization, improvement of systems, and a rapidly changing situation, there is a need to speed up institutions’ ability to quickly draw working solutions to offset the effects of unexpected events in society and economy and react without delays if policy effects dissipate. This paper demonstrates how a high level of digitalization in government allows addressing such issues by automating causal impact assessment and making it a continuous part of the service delivery. The use case is an automated system for assessing active labour market policies in Estonia using individual-level data from government digital registers. Building on this, it shows how impact assessment automation depends on automatically generated data, only available due to the digitalization of other public services, and how versatile it is when it comes to proving casual evidence in a suddenly changing environment.
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    European Interoperability Landscape Report 2022
    (Nordic Institute for Interoperability Solutions, 2022) Krimmer, Robert; Solvak, Mihkel; Alishani, Art; Dedovic, Stefan; Schmidt, Carsten; Castle, Salina
    The delivery of cross-border digital public services largely depends on the ability of public administrations and businesses to transfer data across borders. Therefore, access to trusted, interoperable, and secure data-exchange solutions is essential for delivering cross-border services but is also crucial for establishing the Single Digital Gateway (SDG) and building a functioning European Digital Single Market (DSM). Numerous projects, alliances, and partnerships have been implemented to explore and develop different solutions that would support the creation of an interoperable future for Europe. Thus far, a clear understanding of cross-border data exchange initiatives is lacking, especially regarding roles, specifications, interdependencies, and technological differences between initiatives. This study report aims to start mapping European cross-border data-exchange solutions and initiatives, analyse the status of adoption, and investigate different aspects of these initiatives pertaining to legal, commercial, and technical specifications. Also, the report discusses the future outlook of European cross-border digital public services. Findings from this study could provide valuable insights for policymakers, solution owners, and service providers as it informs them about the interoperability, extensibility, and sustainability of European cross-border data exchange initiatives and projects.