Process Mining can roughly be defined as a data-driven approach to process management. The basic idea of process mining is to automatically distill and to visualize business processes using event logs from company IT-systems (e.g. ERP, WMS, CRM etc.) to identify specific areas for improvement at an operational level. An event log can be described as a database entry that signifies a specific action in a software application at a specific time. Simple examples of these actions are customer order entries, scanning an item in a warehouse, and registration of a patient for a hospital check-up.Process mining has gained popularity in the logistics domain in recent years because of three main reasons. Firstly, the logistics IT-systems' large and exponentially growing amounts of event data are being stored and provide detailed information on the history of logistics processes. Secondly, to outperform competitors, most organizations are searching for (new) ways to improve their logistics processes such as reducing costs and lead time. Thirdly, since the 1970s, the power of computers has grown at an astonishing rate. As such, the use of advance algorithms for business purposes, which requires a certain amount of computational power, have become more accessible.Before diving into Process Mining, this course will first discuss some basic concepts, theories, and methods regarding the visualization and improvement of business processes.
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Introduction: Different models of frameworks for dietetic care are used in Europe. There is a substantial need for a consistent framework to compare research results and to cooperate on an international level. Therefore, one of the goals of the EU-funded project IMPECD was the development of a unified framework Dietetic Care Process (DCP) in order to foster a shared understanding of process-driven dietetic counselling. Materials and Methods:: Based on a literature review and in-depth analysis of different frameworks an iterative and incremental development process of finding solutions for decision-making within the consortium consisting of dietetic experts from 5 European HEI was passed. The developed DCP model was integrated in an online training course including 9 clinical cases (MOOC) to train students. The draft versions and the concluding final version DCP model were evaluated and re-evaluated by teachers and 25 students at two Intensive Study Programmes. Results:: The DCP model consists of five distinct, interrelated steps which the consortium agreed on: Dietetic Assessment, Dietetic Diagnosis, Planning Dietetic Intervention, Implementing Dietetic Intervention, Dietetic Outcome Evaluation. A standardized scheme was developed to define the process steps: dedication, central statement, aim and principles, and operationalization. Discussion:: Existing different process models were analyzed to create a new and consistent concept of a unified framework DCP. The variety within the European countries represented by the consortium proved to be both a challenge in decision-making and an opportunity to integrate multinational perspectives and intensify the scientific discourse. The development of a standardized scheme with precise definitions is a prerequisite for planning study designs in health services research. Besides, clarification is essential for establishing process-guided work in practice. The evaluated MOOC is now implemented in study programmes used by 5 European HEI in order to keep approaches and process-driven action comparable. The MOOC promotes the exchange of ideas between future professionals on an international level.
There has probably never been such an intense debate about the layout of the countryside as the one that is currently raging. There are serious concerns about the landscape, which is being rapidly transformed by urbanization and everything associated with this process, and not only in the Netherlands but also far beyond its borders. Everyone has something to say in this society-wide debate, from local to national governments, from environmental factions to the road-user's lobby, and from those who are professionally involved to concerned private parties. In many cases it is a battle between idealized images and economic models, between agricultural reality and urban park landscapes, between ecological concerns and mobility. This issue of OASE explores the potential significance of architectonic design for transformation processes on the regional scale. Besides considering the instruments that are available to the designer to fulfil this task, the authors also consider how the design can exercise a 'positive' influence on such processes. The various contributions shed light on the potential significance of territory in contemporary design practice and offer critical reflection on the topical discourse that has evolved over recent years.
Designing cities that are socially sustainable has been a significant challenge until today. Lately, European Commission’s research agenda of Industy 5.0 has prioritised a sustainable, human-centric and resilient development over merely pursuing efficiency and productivity in societal transitions. The focus has been on searching for sustainable solutions to societal challenges, engaging part of the design industry. In architecture and urban design, whose common goal is to create a condition for human life, much effort was put into elevating the engineering process of physical space, making it more efficient. However, the natural process of social evolution has not been given priority in urban and architectural research on sustainable design. STEPS stems from the common interest of the project partners in accessible, diverse, and progressive public spaces, which is vital to socially sustainable urban development. The primary challenge lies in how to synthesise the standardised sustainable design techniques with unique social values of public space, propelling a transition from technical sustainability to social sustainability. Although a large number of social-oriented studies in urban design have been published in the academic domain, principles and guidelines that can be applied to practice are large missing. How can we generate operative principles guiding public space analysis and design to explore and achieve the social condition of sustainability, developing transferable ways of utilising research knowledge in design? STEPS will develop a design catalogue with operative principles guiding public space analysis and design. This will help designers apply cross-domain knowledge of social sustainability in practice.
Om tegemoet te komen aan de eisen die gesteld worden aan werknemers in de huidig snel veranderende samenleving heeft de NHL Stenden Hogeschool gekozen voor een nieuw onderwijsconcept, namelijk Design Based Education (DBE). DBE is gebaseerd op het gedachtegoed van Design Thinking en stimuleert iteratieve en creatieve denkprocessen. DBE is een student-georiënteerde leeromgeving, gebaseerd op praktijk-, dialoog-, en vraaggestuurde onderwijsprincipes en op zelfsturend, constructief, contextueel en samenwerkend leren. Studenten construeren gezamenlijk kennis en ontwikkelen een prototype voor een praktijkvraagstuk. Student-georiënteerde leeromgevingen vragen andere begeleidingsstrategieën van docenten dan zij gewend zijn. Van docenten wordt verwacht dat zij studenten activeren gezamenlijk kennis te construeren en dat zij nauw samenwerken met werkveldprofessionals. Eerder onderzoek toont aan dat docenten, zelfs in een student-georiënteerde leeromgeving, geneigd zijn terug te vallen op conventionele strategieën. De overstap naar een ander onderwijsconcept gaat dus blijkbaar niet vanzelf. Collectief leren stimuleert docenten de dialoog aan te gaan met andere docenten en werkveldprofessionals met als doel gezamenlijk te experimenteren en collectief te handelen. De centrale vraag van het postdoc-onderzoek is het ontwerpen en ontwikkelen van (karakteristieken van) interventies die collectief leren van docenten en werkveldprofessionals stimuleren. Het doel van het postdoconderzoek is om de overstap naar DBE zo probleemloos mogelijk te laten verlopen door docenten te ondersteunen DBE leeromgevingen te ontwikkelen in samenwerking met werkveldprofessionals en DBE te integreren in hun docentactiviteiten. De onderzoeksmethode is Educational Design Research en bestaat uit vier fasen: preliminair onderzoek, ontwikkelen van prototypes, evaluatie en bijdrage aan de praktijk. Het onderzoek is verbonden aan het lectoraat Sustainable Educational Concepts in Higher Education en wordt hiërarchisch en inhoudelijk aangestuurd door de lector. Docenten, experts, werkveldprofessionals en studenten worden betrokken bij het onderzoek. Dit onderzoek kan zowel binnen als buiten de hogeschool een bijdrage leveren omdat steeds meer hogescholen kiezen voor een ander onderwijsconcept.
Developing a framework that integrates Advanced Language Models into the qualitative research process.Qualitative research, vital for understanding complex phenomena, is often limited by labour-intensive data collection, transcription, and analysis processes. This hinders scalability, accessibility, and efficiency in both academic and industry contexts. As a result, insights are often delayed or incomplete, impacting decision-making, policy development, and innovation. The lack of tools to enhance accuracy and reduce human error exacerbates these challenges, particularly for projects requiring large datasets or quick iterations. Addressing these inefficiencies through AI-driven solutions like AIDA can empower researchers, enhance outcomes, and make qualitative research more inclusive, impactful, and efficient.The AIDA project enhances qualitative research by integrating AI technologies to streamline transcription, coding, and analysis processes. This innovation enables researchers to analyse larger datasets with greater efficiency and accuracy, providing faster and more comprehensive insights. By reducing manual effort and human error, AIDA empowers organisations to make informed decisions and implement evidence-based policies more effectively. Its scalability supports diverse societal and industry applications, from healthcare to market research, fostering innovation and addressing complex challenges. Ultimately, AIDA contributes to improving research quality, accessibility, and societal relevance, driving advancements across multiple sectors.
