Out-of-school science educational activities, such as school visits to a science center, aim at stimulating pupils’ science talent. Science talent is a developmental potential that takes the form of talented behaviors such as curiosity and conceptual understanding. This dissertation investigates whether and how out-of-school science activities contribute to the elicitation, emergence, and development of pupils’ science talent. The context of this thesis is the Northern Netherlands Science Network, an alliance of primary schools, out-of-school science facilities, the university of Groningen, and the Hanze University of Applied Sciences (www.wknn.nl). Interviews with the schools on their starting position showed that adequate communication between schools and out-of-school facilities is necessary to coordinate the participants’ educational goals. Secondly, the elicitation and expression of science talent was studied in the micro-interactions between pupils and their educator (classroom teacher or facility instructor). To do so, a multivariate coding scheme was developed to measure Pedagogical Content Knowledge expressed in real-time interaction (EPCK). The interaction shows a variable pattern over time. Sometimes episodes of high-level EPCK — so-called talent moments — emerge, in which talented pupil behavior in the form of pupils’ conceptual understanding, and talent elicitation by the educator in the form of open teaching focused on conceptual understanding, determine one another. These talent moments only occur in activities that were prepared in the classroom and with educators who were trained to evoke conceptual understanding. Under these conditions, out of school science activities can contribute to the elicitation and development of science talent in primary school pupils.AB - Out-of-school science educational activities, such as school visits to a science center, aim at stimulating pupils’ science talent. Science talent is a developmental potential that takes the form of talented behaviors such as curiosity and conceptual understanding. This dissertation investigates whether and how out-of-school science activities contribute to the elicitation, emergence, and development of pupils’ science talent. The context of this thesis is the Northern Netherlands Science Network, an alliance of primary schools, out-of-school science facilities, the university of Groningen, and the Hanze University of Applied Sciences (www.wknn.nl). Interviews with the schools on their starting position showed that adequate communication between schools and out-of-school facilities is necessary to coordinate the participants’ educational goals. Secondly, the elicitation and expression of science talent was studied in the micro-interactions between pupils and their educator (classroom teacher or facility instructor). To do so, a multivariate coding scheme was developed to measure Pedagogical Content Knowledge expressed in real-time interaction (EPCK). The interaction shows a variable pattern over time. Sometimes episodes of high-level EPCK — so-called talent moments — emerge, in which talented pupil behavior in the form of pupils’ conceptual understanding, and talent elicitation by the educator in the form of open teaching focused on conceptual understanding, determine one another. These talent moments only occur in activities that were prepared in the classroom and with educators who were trained to evoke conceptual understanding. Under these conditions, out of school science activities can contribute to the elicitation and development of science talent in primary school pupils.
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During the 2024 Open Science Retreat, the Measuring Open Science team collected, reviewed, and analyzed existing research into open science practices. As a team, we developed an interactive overview of open science surveys, which may be used e.g. to reuse questionnaire items on different open science practices.
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Nederland zet koers richting een open vorm van wetenschapsbeoefening, getuige onder andere de lancering van het Nationaal Plan Open Science (NPOS) afgelopen februari en het nieuwe regeerakkoord dat stelt dat open access en open science de norm worden in wetenschappelijk onderzoek. Open science heeft als doel om wetenschappelijke kennis op transparante wijze en voor een breed publiek te publiceren. Dat vergt een herijking van onderzoek doen, samenwerking tussen onderzoekers en de wijze waarop kennis wordt gedeeld en de wetenschap wordt georganiseerd. Informatieprofessionals kunnen hierbij een rol van betekenis spelen, zoals blijkt uit cases van de Universiteit Utrecht, Hogeschool van Arnhem en Nijmegen en KNMI. Maar eerst een korte toelichting op open science en het NPOS. http://www.informatieprofessional.nl
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Het strategisch project Citizen Science for a Healthy Lifestyle is gestart op 1 november 2019. Het project had als doel: kennis, ervaring, scholing en internationalisering op het thema Citizen Science for Healthy Lifestyle bevorderen. Deze strategische fonds heeft op concrete wijze vorm en inhoud gegeven aan de visie en doelen van het CoE HA. Deze aanvraag heeft mede geleid tot het benoemen van Citizen Science als belangrijke enabler/versneller binnen de visie van het CoE HA. In jaar 1 lag het accent op scholing (expert conference/workshop etc.) en de opzet van een 3-tal pilots. In jaar 2 werd de opgedane kennis en ervaring verwerkt in ontwikkelde onderwijs modules Citizen Science. De Hanzehogeschool stelt zich tot doel waarde en impact te cre ren in Noord-Nederland, met de inzet van onderwijs, onderzoek en innovatie. De strategie van het Centre of Expertise Healthy Ageing (CoE HA) belicht drie thema’s: 1) gelijkheid en participatie in gezondheidszorg, 2) gezonde leefstijl en omgeving, en 3) kwetsbaarheid en passende zorg. Zowel als onderzoek/innovatiestrategie en als middel om burgers en gemeenschappen te betrekken, speelt Citizen Science for health een belangrijke rol in het mogelijk maken en versnellen van processen binnen de drie thema’s. Citizen Science kan gedefinieerd worden als een vorm van onderzoekssamenwerking en co-creatie die burgers betrekt bij onderzoek en innovatie om concrete vraagstukken aan te pakken, en die dus vereist dat niet-professionele bijdragers onderdeel van de samenwerking zijn.Belangrijkste resultaten:• Citizen Science is mede door deze strategische fonds aanvraag en van de drie enablers geworden in de nieuwe CoE HA strategische koers 2021-2026;• Opstart pilots van Living Lab Beweegvriendelijk Vinkhuizen, Living Lab Oldambt Tijd voor Toekomst en Meer Gezonde Jaren Appingedam. Mede door blijvende investering en honorering van Living Labs Sport en Bewegen van ZonMw; Het gaat hier om een netwerksubsidie (8 maanden), lokale verankering (12 maanden) en experiment subsidie (5 maanden);• Integratie Citizen Science in Erasmus+ capacity building project Sustainable Wellbeing (SUSWELL);• Ontwikkeling SPRONG-aanvraag op het thema Citizen Science (deadline 31 mei 2022);• Diverse scholingsactiviteiten en workshops (master HAP, bachelor, docent-onderzoekers van de Healthy Ageing schools, studiedagen) hebben in 2020, 2021 en 2022 plaatsgevonden;• Studie tweedaagse over Citizen Science gehouden voor studenten en docent-onderzoekers CoE HA en KC Noorderruimte;• Samenwerking met Stanford University en Our Voice: Citizen Science for Health Equity network gerealiseerd;• Positioning statement Citizen Science geschreven in NL en EN;• Lid geworden van European Citizen Science Association (ECSA);• Scholingsmateriaal ontwikkeld voor studenten en docent-onderzoekers van de vijf schools vallend onder Healthy Ageing;• Ontwikkeling NWO-subsidie aanvraag maatschappelijk verdien vermogen over citizen-student Science voor studenten welzijn tijdens en na de Corona pandemie (deadline voorjaar 2022);• Postdoc aanstelling Citizen Science vanuit het CoE HA.• Met de Citizen Science scholingsactiviteiten zijn in totaal 270 bachelor studenten, 145 master studenten, 279 docent-onderzoekers, 109 professionals en 180 burgers bereikt verspreid over de verschillende pilots.Aanbevelingen:• Mede op basis van de impact van praktijkgericht onderzoek op praktijk, onderwijs en onderzoek (PRIME-model pagina 29), doorgaan met onderwijs en praktijk ontwikkelingen. De bijdrage aan het wetenschappelijke/onderzoeksdomein op Citizen Science verdient dekomende jaren extra aandacht;• Mede op basis van bevindingen visitatie terugkoppeling CoE HA (6-7 april 2022), verder doorontwikkelen tot herkend en erkend expertisecentrum op Citizen Science in de context van (publieke) gezondheidsdomein;• De komende jaren verder investeren in mensen en middelen in Citizen Science zodat het een van de leidende aanpakken wordt binnen onderwijs-onderzoek binnen het CoE HA zodat de Hanze zich ontwikkelt tot een expertisecentrum (o.a. m.b.v. SPRONG);• Komende jaren verder kennis en expertise ontwikkelen op Citizen Science door eigenonderzoek (promovendi/postdocs) en scholing;• Citizen Science integreren in relevante onderzoeksprojectaanvragen;• Citizen Science verder integreren in de drie inhoudelijke thema’s van het CoE HA;• Citizen Science onderwijsmodules en scholingen implementeren in het onderwijs van studenten (bachelors, masters) en bij- en nascholing van docent-onderzoekers.
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Over the past few years, there has been an explosion of data science as a profession and an academic field. The increasing impact and societal relevance of data science is accompanied by important questions that reflect this development: how can data science become more responsible and accountable while also responding to key challenges such as bias, fairness, and transparency in a rigorous and systematic manner? This Patterns special collection has brought together research and perspective from academia, the public and the private sector, showcasing original research articles and perspectives pertaining to responsible and accountable data science.
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The evolving landscape of science communication highlights a shift from traditional dissemination to participatory engagement. This study explores Dutch citizens’ perspectives on science communication, focusing on science capital, public engagement, and communication goals. Using a mixed-methods approach, it combines survey data (n = 376) with focus group (n = 66) insights. Findings show increasing public interest in participating in science, though barriers like knowledge gaps persist. Trust-building, engaging adolescents, and integrating science into society were identified as key goals. These insights support the development of the Netherlands’ National Centre of Expertise on Science and Society and provide guidance for inclusive, effective science communication practices.
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Abstract Despite the numerous business benefits of data science, the number of data science models in production is limited. Data science model deployment presents many challenges and many organisations have little model deployment knowledge. This research studied five model deployments in a Dutch government organisation. The study revealed that as a result of model deployment a data science subprocess is added into the target business process, the model itself can be adapted, model maintenance is incorporated in the model development process and a feedback loop is established between the target business process and the model development process. These model deployment effects and the related deployment challenges are different in strategic and operational target business processes. Based on these findings, guidelines are formulated which can form a basis for future principles how to successfully deploy data science models. Organisations can use these guidelines as suggestions to solve their own model deployment challenges.
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This research paper looks at a selection of science-fiction films and its connection with the progression of the use of television, telephone and print media. It also analyzes statistical data obtained from a questionnaire conducted by the research group regarding the use of communication media.
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![Does Science-Fiction predict [or change] the future?](https://publinova-harvester-content-prod.s3.amazonaws.com/thumbnails/files/previews/pdf/20250506145555255024.adbf7edd-9619-4d0e-9a17-e0e7096adc7f-thumbnail-400x300.png)
Poster presentation on work package Open Science within RUN-EU PLUS
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This chapter explores the legal and moral implications of the use of data science in criminal justice at two levels: police surveillance and the criminal trial of a defendant. At the first level, police surveillance, data science is used to identify places and people at high risk of criminal activity, allowing police officers to target surveillance and take proactive measures to try to prevent crime (predictive policing). At the second level, the criminal trial of a defendant, data science is used to make risk assessments to support decisions about bail, sentencing, probation, and supervision and detention orders for high-risk offenders. The use of data science at these levels has one thing in common: it is about predicting risk. The uncertainty associated with risk prediction raises specific related legal and ethical dilemmas, for example in the areas of reasonable suspicion, presumption of innocence, privacy, and the principle of non-discrimination.
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