Research conducted by Universities of Applied Sciences (UASs) is frequently driven by professional practice where researchers are challenged with finding solutions to real-life problems. These real-life solutions are significantly enhanced by the participation of stakeholders. Through this inclusion and the resulting interactions, activities, and knowledge transfer, between the stakeholder and research(ers), impacts occur at a micro level. Micro impacts are the normal impacts that occur during the research process through interactions between researchers and stakeholders, that facilitate an unexpected and unplanned effect, be it positive or negative (Lykke et al. 2023, Mapping Research Activities and Societal Impact by Taxonomy of Indicators: Uniformity and Diversity across Academic Fields, Journal of Documentation, 79: 1049–70). Contribution analysis has been recognized as a viable method for evaluating micro impacts. One recognized contribution analysis framework is Kok and Schuit’s (2012, Contribution Mapping: A Method for Mapping the Contribution of Research to Enhance Its Impact, Health Research Policy and Systems, 10: 21) Contribution Mapping. It is also one of the frameworks acknowledged as conforming to several of the recommendations for evaluating UAS research impact. However, to do justice to the nature of Practice Oriented research, a new framework is needed. The purpose of this article is to test how Contribution Mapping works in real-life to answer the question: What can we learn from Contribution Mapping as an impact evaluation tool for a future UAS specific research impact evaluation framework? This article will examine the specificity of UAS research, the relevance of Contribution Mapping for evaluating UAS research, and the theoretical and practical implications of Contribution Mapping. Through inductive analysis conducted on information gleaned from interviews and focus groups, observations, challenges, and limitations are identified, and modifications suggested to take into consideration for a new framework.
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Playful Mapping is the result of many years of joint enterprise in which we, as authors, devel-oped a close intellectual collaboration. As a book, it emerged towards the end of the ERC project Charting the Digital that ran from 2011-2016, and during a still-ongoing Erasmus+ project; Go Go Gozo. Over this five year period, members of the Playful Mapping Collective got to know each other as colleagues and friends, participating regularly in diverse academic and social activities, such as conference panels and workshops.1 The authorship of this book therefore reflects an interesting collaborative experiment, enrolling researchers who have been working together in an active way over the past half-decade. This preface explains the genealogy of the emerging and open collaboration through which we developed ideas
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Understanding how experiences unfold requires measuring participants' emotions, especially as they move from location to location. Measuring and mapping emotions over space is technically challenging, however. While a number of technologies to record and spatially resolve emotion data exist, they have not been systematically compared. We present emotion data collected at a natural and military heritage site in the Netherlands using three different methods, namely retrospective self report, experience reconstruction, and physiology. These data are applied to three corresponding mapping methods. The resulting maps lead to divergent findings, demonstrating that spatial mapping of emotion data accentuates differences between distinct dimensions of emotions.
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Wat dragen creatieve onderzoeksmethodes bij aan vernieuwing binnen de zorg? We onderzoeken dit binnen tien projecten van het Create Health-programma van ZonMw. In deze projecten wordt kennis ontwikkeld over de toegevoegde waarde van creatieve manieren van werken bij e-health innovatie.
Wat dragen creatieve onderzoeksmethodes bij aan vernieuwing binnen de zorg? We onderzoeken dit binnen tien projecten van het Create Health-programma van ZonMw. In deze projecten wordt kennis ontwikkeld over de toegevoegde waarde van creatieve manieren van werken bij e-health innovatie. Informatie over de onderzoeksresultaten is te vinden op de website: husite.nl/creatieve-onderzoeksmethodes en het artikel: CHIWaWA maakt samenwerking in create-health onderzoek inzichtelijk | Hogeschool Utrecht (hu.nl)Doel Het Create Health programma heeft tot doel om bij te dragen aan maatschappelijke uitdagingen rondom gezond en actief ouder worden. CHIWaWA werkt daarbij toe naar een conceptueel model dat manieren van werken in kaart brengt in create health projecten – gekoppeld aan theorie over boundary crossing en research impact – met betrekking tot projectuitkomsten en kennis-, persoonlijke-, en systeemontwikkeling van betrokken actoren. Resultaten onderzoek Kennis die zowel online als offline te raadplegen is, in een boek, in wetenschappelijke artikelen en op een website. Deze kennis bevat: Inzicht in kansen om impact van e-health innovatie in ‘create health’-samenwerking te vergroten; Projectnarratieven met ‘best practices’ voor interdisciplinaire samenwerking waarbij onderzoekers, creatieve industrie en zorgprofessionals betrokken zijn; Guidelines voor ontwikkelaars van e-health applicaties m.b.t. samenwerking met de creatieve industrie; Guidelines voor beleidsmakers m.b.t. het stimuleren van samenwerking tussen zorg en creatieve industrie en het gebruik van creatieve manieren van werken om onderzoek naar de praktijk te krijgen; Aanpak Vanuit een service-dominant logic perspectief wordt bekeken hoe toegepaste kennis en skills worden gedeeld tussen actoren die betrokken zijn bij de verschillende ‘create health’-projecten, wat de meerwaarde daarvan is en wat actoren van die uitwisseling – als proces – leren. De focus ligt op co-creatie van waarde, die door samenwerking en uitwisseling tot stand komt. Door middel van procesonderzoek wordt er toegewerkt naar bijdragen aan theorieontwikkeling op het gebied van boundary crossing en contribution mapping. Resultaten Eindpublicatie: Create Health: Samenwerking tussen zorg, wetenschap en creatieve industrie (2023) Boek: Create Ways of Working. Insights from ten ehealth Innovation research projects (2022) Website www.creatieveonderzoeksmethodes.nl (2022) Bijdragen aan conferenties en symposia Co-design in de anderhalvemetermaatschappij (whitepaper), Dutch Design Week 2020. Download de presentatieslides. Collaborating in complexity. Strategies for interdisciplinary collaboration n design work, Design4Health conference 2020 Grounding Practices. How researchers ground their work in create-health collaborations for designing e-health solutions, Design4Health conference 2020 Seven ways to foster interdisciplinary collaboration in research involving healthcare and creative research disciplines, DementiaLab conference 2019 Posterpresentatie: Health x Design, DementiaLab conference 2019 Meer informatie over het Create Health programma Het ZonMw programma Create Health heeft als doel om bij te dragen aan de maatschappelijke uitdaging rondom gezond en actief ouder worden. Binnen het programma worden activiteiten uitgezet waarbij de samenwerking tussen de creatieve industrie en zorg en welzijn voorop staat. Het gaat hierbij om publiek-private samenwerking (PPS).
The increase in the number and complexity of crime activities in our nation together with shortage in human resources in the safety and security domain is putting extra pressure on emergency responders. The emergency responders are constantly confronted with sophisticated situations that urgently require professional, safe, and rapid handling to contain and conclude the situation to minimize the danger to public and the emergency responders. Recently, Dutch emergency responders have started to experiment with various types of robots to improve the responsiveness and the effectiveness of their responses. One of these robots is the Boston Dynamic’s Spot Robot Dog, which is primarily appealing for its ability to move in difficult terrains. The deployment of the robot in real emergencies is at its infancy. The main challenge that the robot dog operators are facing is the high workload. It requires the full attention to operate the robot itself. As such, the professional acts entirely as a robot operator rather than a domain expert that critically examines and addresses the main safety problems at hand. Therefore, there is an urgent request from these emergency response professionals to develop and integrate key technologies that enable the robot dog to operate more autonomously. In this project, we explore on how to increase the autonomy level of the robot dog in order to reduce the workload of the operator, and eventually help the operator remain domain expert. Therefore, we will explore the ability of the robot to autonomously 3D-map unknown confined areas. The results of this project will lead to new practical knowledge and a follow-up project that will focus on further developing the technologies that increase the autonomy of the robot for eventual deployment in operational environments. This project will also have direct contribution to education through involvement of students and lecturers.
