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Products 4.781

product

Tech Scale-Ups in the Amsterdam City Region

This report analysis the geography of the tech sector in Amsterdam, with a focus on scaleups. After a literature review, it contains a quantitative analysis, showing and mapping the spatial clustering of various types of tech companies cluster in the Amsterdam region. Then, based on interviews, we analyse the growth dynamics, location preferences and geographical dynamics of tech scale-ups. Also, we identify which push and pull factors affect Amsterdam based tech scale-up companies in their locational decision making, on the neighborhood and building level.

PDF

12/31/2019
Tech Scale-Ups in the Amsterdam City Region
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Forget Amsterdam and Berlin

Big report of the Startup EDR Project. See how the project promoted interregional collaboration and development for startups within the Ems-Dollart region.

MULTIFILE

12/31/2021
product

Ga terug naar start: goed teamwerk door project start up’s

Een goed team kan elk project aan en een slecht team kan elk project verprutsen. Dat weten we in de bouw al jaren. Maar hoe realiseer je een goed team? We weten dat een goede start een belangrijke voorwaarde is. En toch slagen we er altijd weer in om deze wetenschap te negeren. Een team is: 30 mensen die elkaar niet kennen, 15 in de keet van de opdrachtgever en 15 in de keet van de bouwer en gaan met die banaan. Een slechte start leidt tot een minder presterend team en dus tot een matig project. Waarom is een projectstartup zo belangrijk en hoe pak je dat aan? In een studie door het A2 convenant is deze materie op een praktische wijze behandeld.

PDF

12/31/2008
Ga terug naar start: goed teamwerk door project start up’s

People 6

person

Frans Melissen

Transversal Professor of Sustainability Transitions

Frans Melissen
person

Tibert Verhagen

Lector Emerging Technology for Business

Tibert Verhagen
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Wesley Put - van den Beemt

Lecturer

Wesley Put - van den Beemt
person

Walter van Andel

Walter van Andel

Projects 35

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3D betonprinten vanuit de cloud

Betonprinten biedt veel nieuwe mogelijkheden op het gebied van productie en materiaal, maar vraagt van het MKB en startups flinke investeringen in kennis en middelen om er mee aan de slag te gaan. Met name slicer software, dat 3D modellen omzet naar printercode, vormt een bottleneck omdat deze alleen commercieel en printer-specifiek verkrijgbaar zijn. Saxion, Vertico en White Lioness willen in dit project de haalbaarheid van gratis open source slicer software die als cloud dienst wordt aangeboden onderzoeken. Deze oplossing maakt betonprinten bereikbaar voor meer innovatieve toepassingen vanuit MKB en startups, en vormt een platform voor het verzamelen en delen van kennis op het gebied van betonprinten.

Finished
project

A green process to make carboxylated cellulose starting from levulinates

Carboxylated cellulose is an important product on the market, and one of the most well-known examples is carboxymethylcellulose (CMC). However, CMC is prepared by modification of cellulose with the extremely hazardous compound monochloracetic acid. In this project, we want to make a carboxylated cellulose that is a functional equivalent for CMC using a greener process with renewable raw materials derived from levulinic acid. Processes to achieve cellulose with a low and a high carboxylation degree will be designed.

Finished
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AI-supported sensor systems for improving and competitive grading of horse and (disabled) rider bio-mechanical interaction

Horse riding falls under the “Sport for Life” disciplines, where a long-term equestrian development can provide a clear pathway of developmental stages to help individuals, inclusive of those with a disability, to pursue their goals in sport and physical activity, providing long-term health benefits. However, the biomechanical interaction between horse and (disabled) rider is not wholly understood, leaving challenges and opportunities for the horse riding sport. Therefore, the purpose of this KIEM project is to start an interdisciplinary collaboration between parties interested in integrating existing knowledge on horse and (disabled) rider interaction with any novel insights to be gained from analysing recently collected sensor data using the EquiMoves™ system. EquiMoves is based on the state-of-the-art inertial- and orientational-sensor system ProMove-mini from Inertia Technology B.V., a partner in this proposal. On the basis of analysing previously collected data, machine learning algorithms will be selected for implementation in existing or modified EquiMoves sensor hardware and software solutions. Target applications and follow-ups include: - Improving horse and (disabled) rider interaction for riders of all skill levels; - Objective evidence-based classification system for competitive grading of disabled riders in Para Dressage events; - Identifying biomechanical irregularities for detecting and/or preventing injuries of horses. Topic-wise, the project is connected to “Smart Technologies and Materials”, “High Tech Systems & Materials” and “Digital key technologies”. The core consortium of Saxion University of Applied Sciences, Rosmark Consultancy and Inertia Technology will receive feedback to project progress and outcomes from a panel of international experts (Utrecht University, Sport Horse Health Plan, University of Central Lancashire, Swedish University of Agricultural Sciences), combining a strong mix of expertise on horse and rider biomechanics, veterinary medicine, sensor hardware, data analysis and AI/machine learning algorithm development and implementation, all together presenting a solid collaborative base for derived RAAK-mkb, -publiek and/or -PRO follow-up projects.

Finished

Editorials 1

editorial

Praktijkgericht onderzoek veranderde het saucijzenbroodje voorgoed