People counting is a challenging task with many applications. We propose a method with a fixed stereo camera that is based on projecting a template onto the depth image. The method was tested on a challenging outdoor dataset with good results and runs in real time.
Whitepaper in een serie over HR Analytics. Steeds vaker worden HRM-beslissingen gebaseerd op voorspellende modellen die ontwikkeld zijn op basis van historische data. In deze whitepaper bespreken we een aantal best practices die organisaties daarbij kunnen helpen. Zo is het belangrijk om goed te letten op de oorsprong van gegevens. Objectieve meetgegevens zijn bijvoorbeeld vaak van grotere waarde dan subjectieve antwoorden uit enquêtes. Wanneer een organisatie data wil verzamelen voor een People Analytics-project, is het daarnaast belangrijk om zeker te weten dat er meetinstrumenten worden gekozen die ook echt meten wat ze beogen te meten. Inhoud: • Inleiding 1. Kies de juiste steekproef 2. Let op de grootte van de steekproef 3. Geef de voorkeur aan objectieve gegevens 4. Zorg voor valide meetinstrumenten 5. Koppel data op een privacyvriendelijke manier 6. Denk na over het gebruik van gemiddelden 7. Verwar oorzaak en gevolg niet 8. Laat je niet foppen door percentages 9. Let op verklaarde variantie 10. Kijk altijd naar de netto opbrengst 11. Voer waar nodig extra analyses uit 12. Maak voldoende tijd vrij voor Analytics • Conclusie
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Interview met Sjoerd van den Heuvel. HR-professionals willen meer doen met data, maar zij missen daarvoor de kennis en vaardigheden. Dat blijkt uit onderzoek dat de Hogeschool Utrecht heeft uitgevoerd onder leden van AWVN. Hoe tilt u people analytics in uw organisatie naar een hoger plan?
Students in Higher Music Education (HME) are not facilitated to develop both their artistic and academic musical competences. Conservatoires (professional education, or ‘HBO’) traditionally foster the development of musical craftsmanship, while university musicology departments (academic education, or ‘WO’) promote broader perspectives on music’s place in society. All the while, music professionals are increasingly required to combine musical and scholarly knowledge. Indeed, musicianship is more than performance, and musicology more than reflection—a robust musical practice requires people who are versed in both domains. It’s time our education mirrors this blended profession. This proposal entails collaborative projects between a conservatory and a university in two cities where musical performance and musicology equally thrive: Amsterdam (Conservatory and University of Amsterdam) and Utrecht (HKU Utrechts Conservatorium and Utrecht University). Each project will pilot a joint program of study, combining existing modules with newly developed ones. The feasibility of joint degrees will be explored: a combined bachelor’s degree in Amsterdam; and a combined master’s degree in Utrecht. The full innovation process will be translated to a transferable infrastructural model. For 125 students it will fuse praxis-based musical knowledge and skills, practice-led research and academic training. Beyond this, the partners will also use the Comenius funds as a springboard for collaboration between the two cities to enrich their respective BA and MA programs. In the end, the programme will diversify the educational possibilities for students of music in the Netherlands, and thereby increase their professional opportunities in today’s job market.
Digital transformation has been recognized for its potential to contribute to sustainability goals. It requires companies to develop their Data Analytic Capability (DAC), defined as their ability to collect, manage and analyze data effectively. Despite the governmental efforts to promote digitalization, there seems to be a knowledge gap on how to proceed, with 37% of Dutch SMEs reporting a lack of knowledge, and 33% reporting a lack of support in developing DAC. Participants in the interviews that we organized preparing this proposal indicated a need for guidance on how to develop DAC within their organization given their unique context (e.g. age and experience of the workforce, presence of legacy systems, high daily workload, lack of knowledge of digitalization). While a lot of attention has been given to the technological aspects of DAC, the people, process, and organizational culture aspects are as important, requiring a comprehensive approach and thus a bundling of knowledge from different expertise. Therefore, the objective of this KIEM proposal is to identify organizational enablers and inhibitors of DAC through a series of interviews and case studies, and use these to formulate a preliminary roadmap to DAC. From a structure perspective, the objective of the KIEM proposal will be to explore and solidify the partnership between Breda University of Applied Sciences (BUas), Avans University of Applied Sciences (Avans), Logistics Community Brabant (LCB), van Berkel Logistics BV, Smink Group BV, and iValueImprovement BV. This partnership will be used to develop the preliminary roadmap and pre-test it using action methodology. The action research protocol and preliminary roadmap thereby developed in this KIEM project will form the basis for a subsequent RAAK proposal.
Digital transformation has been recognized for its potential to contribute to sustainability goals. It requires companies to develop their Data Analytic Capability (DAC), defined as their ability to manage and analyze data effectively. Despite the governmental efforts to promote digitalization, there seems to be a knowledge gap on how to proceed, with 37% of Dutch SMEs reporting a lack of knowledge, and 33% reporting a lack of support in developing DAC. While extensive attention has been given to the technological aspects of DAC, the people, process, and organizational culture aspects are as important, requiring a comprehensive approach and thus a bundling of knowledge from different expertise. Therefore, the objective of this KIEM proposal is to identify organizational enablers and inhibitors of DAC through a series of interviews and case studies, and use these to formulate a preliminary roadmap to DAC.
