Current research on data in policy has primarily focused on street-level bureaucrats, neglecting the changes in the work of policy advisors. This research fills this gap by presenting an explorative theoretical understanding of the integration of data, local knowledge and professional expertise in the work of policy advisors. The theoretical perspective we develop builds upon Vickers’s (1995, The Art of Judgment: A Study of Policy Making, Centenary Edition, SAGE) judgments in policymaking. Empirically, we present a case study of a Dutch law enforcement network for preventing and reducing organized crime. Based on interviews, observations, and documents collected in a 13-month ethnographic fieldwork period, we study how policy advisors within this network make their judgments. In contrast with the idea of data as a rationalizing force, our study reveals that how data sources are selected and analyzed for judgments is very much shaped by the existing local and expert knowledge of policy advisors. The weight given to data is highly situational: we found that policy advisors welcome data in scoping the policy issue, but for judgments more closely connected to actual policy interventions, data are given limited value.
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Although governments are investing heavily in big data analytics, reports show mixed results in terms of performance. Whilst big data analytics capability provided a valuable lens in business and seems useful for the public sector, there is little knowledge of its relationship with governmental performance. This study aims to explain how big data analytics capability led to governmental performance. Using a survey research methodology, an integrated conceptual model is proposed highlighting a comprehensive set of big data analytics resources influencing governmental performance. The conceptual model was developed based on prior literature. Using a PLS-SEM approach, the results strongly support the posited hypotheses. Big data analytics capability has a strong impact on governmental efficiency, effectiveness, and fairness. The findings of this paper confirmed the imperative role of big data analytics capability in governmental performance in the public sector, which earlier studies found in the private sector. This study also validated measures of governmental performance.
MULTIFILE
The focus of the present study is the extent to which an internship or study abroad contributes to students’ development of international competencies, such as interpersonal and intercultural competencies, foreign language skills, and international academic and professional competencies.
The integration of renewable energy resources, controllable devices and energy storage into electricity distribution grids requires Decentralized Energy Management to ensure a stable distribution process. This demands the full integration of information and communication technology into the control of distribution grids. Supervisory Control and Data Acquisition (SCADA) is used to communicate measurements and commands between individual components and the control server. In the future this control is especially needed at medium voltage and probably also at the low voltage. This leads to an increased connectivity and thereby makes the system more vulnerable to cyber-attacks. According to the research agenda NCSRA III, the energy domain is becoming a prime target for cyber-attacks, e.g., abusing control protocol vulnerabilities. Detection of such attacks in SCADA networks is challenging when only relying on existing network Intrusion Detection Systems (IDSs). Although these systems were designed specifically for SCADA, they do not necessarily detect malicious control commands sent in legitimate format. However, analyzing each command in the context of the physical system has the potential to reveal certain inconsistencies. We propose to use dedicated intrusion detection mechanisms, which are fundamentally different from existing techniques used in the Internet. Up to now distribution grids are monitored and controlled centrally, whereby measurements are taken at field stations and send to the control room, which then issues commands back to actuators. In future smart grids, communication with and remote control of field stations is required. Attackers, who gain access to the corresponding communication links to substations can intercept and even exchange commands, which would not be detected by central security mechanisms. We argue that centralized SCADA systems should be enhanced by a distributed intrusion-detection approach to meet the new security challenges. Recently, as a first step a process-aware monitoring approach has been proposed as an additional layer that can be applied directly at Remote Terminal Units (RTUs). However, this allows purely local consistency checks. Instead, we propose a distributed and integrated approach for process-aware monitoring, which includes knowledge about the grid topology and measurements from neighboring RTUs to detect malicious incoming commands. The proposed approach requires a near real-time model of the relevant physical process, direct and secure communication between adjacent RTUs, and synchronized sensor measurements in trustable real-time, labeled with accurate global time-stamps. We investigate, to which extend the grid topology can be integrated into the IDS, while maintaining near real-time performance. Based on topology information and efficient solving of power flow equation we aim to detect e.g. non-consistent voltage drops or the occurrence of over/under-voltage and -current. By this, centrally requested switching commands and transformer tap change commands can be checked on consistency and safety based on the current state of the physical system. The developed concepts are not only relevant to increase the security of the distribution grids but are also crucial to deal with future developments like e.g. the safe integration of microgrids in the distribution networks or the operation of decentralized heat or biogas networks.
The Netherlands is facinggreat challenges to achieve (inter)national climate mitigation objectives inlimited time, budget and space. Drastic innovative measures such as floatingsolar parks are high on political agendas and are entering our water systems.The clear advantages of floating solar (multifunctional use of space) led to afast deployment of renewable energy sources without extensive research toadequately evaluate the impacts on our environment. Acquisition ofresearch data with holistic monitoring methods are urgently needed in order toprevent disinvestments.In this project 10 SMEs with different expertiseand technologies are joining efforts with researchers and four public parties(and 12 indirectly involved) to answer the research question “Which monitoringtechnologies and intelligent data interpretation techniques are requiredto be able to conduct comprehensive, efficient and cost effective monitoring ofthe impacts of floating solar panels in their surroundings?"The outputs after a two-yearproject will play a significant and indispensable role in making Green EnergyResources Greener. Specific output includes a detailed inventory of existingprojects, monitoring method for collection/analysis of datasets(parameters/footage on climate, water quality, ecology) on the effects offloating solar panels on the environment using heterogeneous unmanned robots,workshops with public & private partners and stakeholders,scientific and technical papers and update of national guidelines for optimizingthe relationship between solar panels and the surrounding environment. Projectresults have a global interest and the consortium partners aim at upscaling forthe international market. This project will enrich the involved partners withtheir practical knowledge, and SMEs will be equipped with the new technologiesto be at the forefront and benefit from the increasing floating solar marketopportunities. This project will also make a significant contribution tovarious educational curricula in universities of applied sciences.The Netherlands is facinggreat challenges to achieve (inter)national climate mitigation objectives inlimited time, budget and space. Drastic innovative measures such as floatingsolar parks are high on political agendas and are entering our water systems.The clear advantages of floating solar (multifunctional use of space) led to afast deployment of renewable energy sources without extensive research toadequately evaluate the impacts on our environment. Acquisition ofresearch data with holistic monitoring methods are urgently needed in order toprevent disinvestments.In this project 10 SMEs with different expertiseand technologies are joining efforts with researchers and four public parties(and 12 indirectly involved) to answer the research question “Which monitoringtechnologies and intelligent data interpretation techniques are requiredto be able to conduct comprehensive, efficient and cost effective monitoring ofthe impacts of floating solar panels in their surroundings?"The outputs after a two-yearproject will play a significant and indispensable role in making Green EnergyResources Greener. Specific output includes a detailed inventory of existingprojects, monitoring method for collection/analysis of datasets(parameters/footage on climate, water quality, ecology) on the effects offloating solar panels on the environment using heterogeneous unmanned robots,workshops with public & private partners and stakeholders,scientific and technical papers and update of national guidelines for optimizingthe relationship between solar panels and the surrounding environment. Projectresults have a global interest and the consortium partners aim at upscaling forthe international market. This project will enrich the involved partners withtheir practical knowledge, and SMEs will be equipped with the new technologiesto be at the forefront and benefit from the increasing floating solar marketopportunities. This project will also make a significant contribution tovarious educational curricula in universities of applied sciences.
The Netherlands is facing great challenges to achieve (inter)national climate mitigation objectives in limited time, budget and space. Drastic innovative measures such as floating solar parks are high on political agendas and are entering our water systems . The clear advantages of floating solar (multifunctional use of space) led to a fast deployment of renewable energy sources without extensive research to adequately evaluate the impacts on our environment. Acquisition of research data with holistic monitoring methods are urgently needed in order to prevent disinvestments. In this proposal ten SMEs with different expertise and technologies are joining efforts with researchers and four public parties (and 12 indirectly involved) to answer the research question “Which monitoring technologies and intelligent data interpretation techniques are required to be able to conduct comprehensive, efficient and cost-effective monitoring of the impacts of floating solar panels in their surroundings?" The outputs after a two-year project will play a significant and indispensable role in making Green Energy Resources Greener. Specific output includes a detailed inventory of existing projects, monitoring method for collection/analysis of datasets (parameters/footage on climate, water quality, ecology) on the effects of floating solar panels on the environment using heterogeneous unmanned robots, workshops with public & private partners and stakeholders, scientific and technical papers and update of national guidelines for optimizing the relationship between solar panels and the surrounding environment. Project results have a global interest and the consortium partners aim at upscaling for the international market. This project will enrich the involved partners with their practical knowledge, and SMEs will be equipped with the new technologies to be at the forefront and benefit from the increasing floating solar market opportunities. This project will also make a significant contribution to various educational curricula in universities of applied sciences.
