Designing and personalising systems for specific user groups encompasses a lot of effort with respect to analysing and understanding user behaviour. The goal of our paper is to provide a new methodology for determining navigational patterns of behaviour of specific user groups. We consider agricultural users as a specific user group, during the usage of a decision support system supporting cultivar selection - OPTIRas(TM). Combining process mining techniques with insights from decision making theories, we provide a method of analysing logs resulted from usage of decision support systems. For instance, farmers show difficulties in fulfilling the goal of OPTIRas, while other agricultural users seems to manage better. The results of our analysis can be used to support the redesign and personalization of decision support systems.
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The European Arctic has been recently experiencing an upsurge in mining activities. This is reflected in an on-going interest from the industry, regulators and the public. However, current and future prospects are highly sensitive to mineral price fluctuations. The EU is a major consumer and importer of Arctic raw materials. As the EU is concerned about the security of supply, it attempts to encourage domestic mineral extraction.Both Arctic communities and industry call for enhanced information flows, as well as improved and more inclusive decision-making frameworks. The EU should clearly articulate its interests related to mining in the European Arctic. The EU could further enhance its support for the collection and sharing of mining data and knowledge.The EU regulatory framework could better contribute to harmonising environmental, economic and social assessments, paying special attention to local social issues and indigenous rights. The EU, as a major global actor, can also influence international governance, standard-setting and co-operation to facilitate increased responsibility in mining activities, including through dialogue with mining industry.
During the past two decades the implementation and adoption of information technology has rapidly increased. As a consequence the way businesses operate has changed dramatically. For example, the amount of data has grown exponentially. Companies are looking for ways to use this data to add value to their business. This has implications for the manner in which (financial) governance needs to be organized. The main purpose of this study is to obtain insight in the changing role of controllers in order to add value to the business by means of data analytics. To answer the research question a literature study was performed to establish a theoretical foundation concerning data analytics and its potential use. Second, nineteen interviews were conducted with controllers, data scientists and academics in the financial domain. Thirdly, a focus group with experts was organized in which additional data were gathered. Based on the literature study and the participants responses it is clear that the challenge of the data explosion consist of converting data into information, knowledge and meaningful insights to support decision-making processes. Performing data analyses enables the controller to support rational decision making to complement the intuitive decision making by (senior) management. In this way, the controller has the opportunity to be in the lead of the information provision within an organization. However, controllers need to have more advanced data science and statistic competences to be able to provide management with effective analysis. Specifically, we found that an important skill regarding statistics is the visualization and communication of statistical analysis. This is needed for controllers in order to grow in their role as business partner..
The Dutch main water systems face pressing environmental, economic and societal challenges due to climatic changes and increased human pressure. There is a growing awareness that nature-based solutions (NBS) provide cost-effective solutions that simultaneously provide environmental, social and economic benefits and help building resilience. In spite of being carefully designed and tested, many projects tend to fail along the way or never get implemented in the first place, wasting resources and undermining trust and confidence of practitioners in NBS. Why do so many projects lose momentum even after a proof of concept is delivered? Usually, failure can be attributed to a combination of eroding political will, societal opposition and economic uncertainties. While ecological and geological processes are often well understood, there is almost no understanding around societal and economic processes related to NBS. Therefore, there is an urgent need to carefully evaluate the societal, economic, and ecological impacts and to identify design principles fostering societal support and economic viability of NBS. We address these critical knowledge gaps in this research proposal, using the largest river restoration project of the Netherlands, the Border Meuse (Grensmaas), as a Living Lab. With a transdisciplinary consortium, stakeholders have a key role a recipient and provider of information, where the broader public is involved through citizen science. Our research is scientifically innovative by using mixed methods, combining novel qualitative methods (e.g. continuous participatory narrative inquiry) and quantitative methods (e.g. economic choice experiments to elicit tradeoffs and risk preferences, agent-based modeling). The ultimate aim is to create an integral learning environment (workbench) as a decision support tool for NBS. The workbench gathers data, prepares and verifies data sets, to help stakeholders (companies, government agencies, NGOs) to quantify impacts and visualize tradeoffs of decisions regarding NBS.
Uitkomsten van besluitvorming bij overheidsinstanties kunnen gemakkelijk de publieke waarde vergroten of schenden. In dit onderzoek wordt een nieuwe, aan besluitvormingsondersteuning gerelateerde methode ontwikkeld om een positieve bijdrage aan de publieke waarde te leveren.
Uitkomsten van besluitvorming bij overheidsinstanties kunnen gemakkelijk de publieke waarde vergroten of schenden. In dit onderzoek wordt een nieuwe, aan besluitvormingsondersteuning gerelateerde methode ontwikkeld om een positieve bijdrage aan de publieke waarde te leveren.Doel Hoewel de besluitvorming deels wordt beveiligd door op regels gebaseerde procedures die deze professionals moeten volgen, en deels door informatiesystemen, is decision mining een nieuwe techniek die, eenmaal correct toegepast, de kwaliteit van de besluitvorming voor publieke waarde zou kunnen verbeteren. Aanpak Door samen te werken met een reeks overheidsinstanties (Belastingdienst, UWV, IND, DUO, SVB, NVWA en Rijkswaterstaat) kunnen technologieën worden ontwikkeld voor het kunnen toepassen van decision mining. Dit ook met als doel uiteindelijk inzetbaar te kunnen zijn bij deze instanties. Resultaten Het ontdekken van uitdagingen van decision mining bij overheidsinstanties Het ontwikkelen van technieken voor: Het ontdekken van beslissingen uit data door middel van decision mining Beslissingen op conformiteit controleren door middel van decision mining Beslissingen verbeteren door middel van decision mining, vanuit een perspectief van publieke waarde Develop a method for using decision mining. Looptijd 20 november 2020 - 20 november 2025 Cofinanciering Dit onderzoek wordt gefinancierd door de Nederlandse Organisatie voor Wetenschappelijk Onderzoek
