Browsing by Author "Draheim, Dirk"

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Building Global Societies on Collective Intelligence: Challenges and Opportunities
(Association for Computing Machinery (ACM), 2022-10-14) Suran, Shweta; Pattanaik, Vishwajeet; Kurvers, Ralf; Hallin, Carina Antonia; De Liddo, Anna; Krimmer, Robert; Draheim, Dirk
Digital disruptions caused by the use of technologies like social media arguably present a formidable challenge to democratic values and in turn to Collective Intelligence. Challenges such as misinformation, partisan bias, polarization, and rising mistrust in institutions (including mainstream media), present a new constant threat to collectives both online and offline—amplifying the risk of turning ‘wise’ crowds ‘mad’, and rendering their actions counterproductive. Considering the increasingly important role crowds play in solving today’s socio-political, technological, and economical issues, and in shaping our future, it is vital to protect crowd-oriented systems against such disruptions. In this commentary, we identify time-critical challenges and potential solutions from emerging work on diversity, transparency, collective dynamics, and machine behavior, that require urgent attention, if future CI systems are to sustain their indispensable role as global deliberation instruments.
Digital Sovereignty and Participation in an Autocratic State: Designing an e-Petition System for Developing Countries
(Association for Computing Machinery (ACM), 2021-06-09) Lips, Silvia; Ahmed, Rozha K.; Khayyam, Zulfigarzada; Krimmer, Robert; Draheim, Dirk
Establishing a sustainable citizens-government dialogue is a crucial topic on the agenda of many countries. E-petition systems are among the most popular and effective tools for establishing a responsive and effective dialog between governments and citizens. E-petition systems mitigate the gap between citizens and government authorities and contribute to the empowerment of citizens. This study aims to determine how to increase citizens’ participation in decision-making processes through the case of an e-petition system in Azerbaijan. The research employs a mixed method of qualitative and quantitative data collection methods within a case study design. Data were collected from a triangulation of multiple sources, i.e., interviews with state authorities and online survey among the citizens of Azerbaijan. Additionally, we reviewed experiences from other countries that introduced e-petition systems, in order to better understand the success factors of and obstacles to launching e-petition systems, with a particular focus on the needs of developing countries. The outcome of this study is a proposed design of an e-petition system model that can be considered in developing countries.
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.