Bijdrage aan tentoonstelling Qua Art - Qua Science. Kunstenaars brengen ruimtes op een eigen manier middels kleur, textuur en vorm in beeld. Met hun kunstwerken weten zij gedachten en gevoelens op te roepen bij de aandachtige kijker. Bij het concept ambient intelligence gaat eveneens om de ruimte, maar dan als slimme omgeving. Een ruimte die opmerkzaam is op de aanwezigheid van mensen en in kan gaan op hun wensen en behoeften. In het kort beschrijft Henk van Leeuwen, lector Ambient Intelligence bij het Saxion Kenniscentrum Design en Technologie hoe de mens in de loop van de eeuwen zijn leefruimte heeft aangepast en hoe een slimme omgeving kan reageren op mensen. Het begrip slim wordt onder de loep genomen evenals de technologie die dit mogelijk maakt en roept vragen op als “Hoe ervaren mensen de “intelligente” omgeving en welke ethische dilemma’s dienen zich aan?”
MULTIFILE
This review of meta-analyses of outcome studies of adults receiving Computer-Based Health Education (CBHE) has two goals. The first is to provide an overview of the efficacy of CBHE interventions, and the second is to identify moderators of these effects. A systematic literature search resulted in 15 meta-analyses of 278 controlled outcome studies. The meta-analyses were analysed with regard to reported (overall) effect sizes, heterogeneity and interaction effects. The results indicate a positive relationship between CBHE interventions and improvements in health-related outcomes, with small overall effect sizes compared to non-computer-based interventions. The sustainability of the effects was observed for up to six months. Outcome moderators (31 variables) were studied in 12 meta-analyses and were clustered into three categories: intervention features (20 variables), participant characteristics (five variables) and study features (six variables). No relationship with effectiveness was found for four intervention features, theoretical background, use of internet and e-mail, intervention setting and self-monitoring; two participant features, age and gender; and one study feature, the type of analysis. Regarding the other 24 identified features, no consistent results were observed across meta-analyses. To enhance the effectiveness of CBHE interventions, moderators of effects should be studied as single constructs in high-quality study designs. http://www.journalofinterdisciplinarysciences.com/ https://www.linkedin.com/in/leontienvreeburg/
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.
![Does Science-Fiction predict [or change] the future?](https://publinova-harvester-content-prod.s3.amazonaws.com/thumbnails/files/previews/pdf/20240419032400973719.adbf7edd-9619-4d0e-9a17-e0e7096adc7f-thumbnail-400x300.png)
