Welke social media gebruiken studenten? Waarom gebruiken studenten deze media? Welke verwachtingen hebben ze van het onderwijs? In dit whitepaper delen we de resultaten van ons onderzoek naar de betekenis van social media in het leven van de hedendaagse student.
In 2001, higher professional education received a research function by law. This new research role is incorporated into so-called lectureships. In these lectureships, which are analogous to university chairs to some degree, experts in specific fields function as intermediaries between higher professional education and the networked knowledge society. Their role is to 1) develop and distribute knowledge, 2) provide human resource development for teachers, 3) improve the curriculum, and 4) support innovation in business and non-profit organisations. This contribution presents the preliminary results of a participative action research in the lectureship Pedagogy of vocational and professional education. The aim of this research is to help professionals in this lectureship develop a research identity as part of their professional development and as such constituent for their innovations. Our research question is: how can we improve their professional development as action researchers and consequently their innovative practices? We present first an overview of the Dutch debate about the new research role. Then we will focus on our own Institution and its HRM policies on research. Third, we describe the School as Career Centre and our translation of its design rules into our lectureship. Then we give a historical account of our lectureship, followed by an outline of the action research we, the professor and senior researcher, conduct and of how we try to help the professionals in our lectureship. We conclude with some general remarks about the new research role for higher professional education.
This paper analyses Amsterdam’s Startup-in-Residence (SiR) programme as new type of policy to engage startups in the development of urban innovation through a challenge-based public procurement of innovation (PPI) process. The programme is being mimicked by other cities and government agencies, but so far there has not been a rigorous, theoretically-informed analysis of the approach. In this paper, we specify and focus on the role of city-based, public-affiliated intermediaries as initiators, moderators and influencers of conversations between startups and the local government. The main contribution of SiR as a PPI intermediation programme has been to launch new types of fruitful conversations on several levels, that lead to institutional innovations rather than direct solutions for urban problems or startup development. In this sense, SiR fulfils a role inquiring and ascribing urban challenges with values and notions of “worth” that preceded and shaped innovation directions. We also suggest that engaging startups is effective for only a limited bandwidth urban challenges; different types of intermediation are required to foster collaborative innovation in more complex settings.
The bio-transition will require mass mobilization of biomass for industrial feedstock, of which lignocellulose from agricultural residues is a promising sustainable source. Agricultural lignocellulosic residues (ALR) are available in varying densities across the EU and offer an opportunity to improve environmental outcomes in agriculture as well as in refining. While technologies are emerging, the future demands of industry for ALR are not understood, limiting the ability of biomass intermediaries to develop a supply chain. This project is a collaboration of Looop, BioGrowth Development (BD), and MNEXT, with the aim to quantify and characterize ALR in the EU and match it to expected demand from the refining industry. The spatial distribution of ALR, as well as the technical requirements of refineries, are critical components to developing a sustainable supply chain. Looop aspires to create circularity between ALRs and industry, and together with the biomass consulting experience of BD have approached MNEXT to leverage their knowledge of biorefinery applications. The focus of the project is to spatially model ALR availability across the EU and identify locations where mobilizing biomass for biorefining is most feasible according to technical, environmental, and logistical considerations. The one-year collaboration enables sufficient mapping, modeling, and exploration of parameters, with a focus on creating results applicable to a wide range of future scenarios. The project makes use of academic and industry knowledge to both create industry solutions and establish a starting point for further research.
In stedelijke regio’s wordt steeds meer verwacht van actieve bewoners en sociale ondernemers. Uit eerder onderzoek blijkt echter dat deze ‘stedelijke intermediairs’ vaak moeite hebben om zich aan te passen aan eisen uit de omgeving. Het lijkt dat maar een deel van hen in staat is om op een duurzame manier te wortelen in de wijk. We vragen ons af: Hoe zijn stedelijke intermediairs in staat om hun innovatieve praktijken door te ontwikkelen, ten einde tegemoet te komen aan omgevingseisen op de korte en lange termijn? Belangrijk bij deze vraag is hoe lokale overheden en andere partijen in de stad omgaan met innovatieve praktijken van intermediairs. Kortweg: Hoe kunnen omgevingspartijen aan het adaptieve vermogen van intermediairs bijgedragen? Dit onderzoeken we in Amsterdam, Utrecht, Den Haag, Leeuwarden en Zwolle. We zetten in op een longitudinaal perspectief door middel van: 1) 30 diepte-interviews met eerder onderzochte intermediairs; 2) Expertinterviews in de betrokken gemeenten om inzicht te krijgen in de ontwikkeling van de lokale governance context; 3) Living Lab bijeenkomsten waarin deze kennisontwikkeling binnen een netwerk van stedelijke experts en stakeholders wordt gedeeld. Deze analyse levert uiteindelijk een kennisnetwerk op van intermediairs, ambtenaren en wetenschappers waarin gekeken wordt naar de verduurzaming van stedelijke intermediairs en maatschappelijke initiatieven. De pop-up bouwt voort op (af)lopend SURF-onderzoek (smart-urban-intermediaries.com, april 2017 - september 2019).
Despite the benefits of the widespread deployment of diverse Internet-enabled devices such as IP cameras and smart home appliances - the so-called Internet of Things (IoT) has amplified the attack surface that is being leveraged by cyber criminals. While manufacturers and vendors keep deploying new products, infected devices can be counted in the millions and spreading at an alarming rate all over consumer and business networks. The objective of this project is twofold: (i) to explain the causes behind these infections and the inherent insecurity of the IoT paradigm by exploring innovative data analytics as applied to raw cyber security data; and (ii) to promote effective remediation mechanisms that mitigate the threat of the currently vulnerable and infected IoT devices. By performing large-scale passive and active measurements, this project will allow the characterization and attribution of compromise IoT devices. Understanding the type of devices that are getting compromised and the reasons behind the attacker’s intention is essential to design effective countermeasures. This project will build on the state of the art in information theoretic data mining (e.g., using the minimum description length and maximum entropy principles), statistical pattern mining, and interactive data exploration and analytics to create a casual model that allows explaining the attacker’s tactics and techniques. The project will research formal correlation methods rooted in stochastic data assemblies between IoT-relevant measurements and IoT malware binaries as captured by an IoT-specific honeypot to aid in the attribution and thus the remediation objective. Research outcomes of this project will benefit society in addressing important IoT security problems before manufacturers saturate the market with ostensibly useful and innovative gadgets that lack sufficient security features, thus being vulnerable to attacks and malware infestations, which can turn them into rogue agents. However, the insights gained will not be limited to the attacker behavior and attribution, but also to the remediation of the infected devices. Based on a casual model and output of the correlation analyses, this project will follow an innovative approach to understand the remediation impact of malware notifications by conducting a longitudinal quasi-experimental analysis. The quasi-experimental analyses will examine remediation rates of infected/vulnerable IoT devices in order to make better inferences about the impact of the characteristics of the notification and infected user’s reaction. The research will provide new perspectives, information, insights, and approaches to vulnerability and malware notifications that differ from the previous reliance on models calibrated with cross-sectional analysis. This project will enable more robust use of longitudinal estimates based on documented remediation change. Project results and methods will enhance the capacity of Internet intermediaries (e.g., ISPs and hosting providers) to better handle abuse/vulnerability reporting which in turn will serve as a preemptive countermeasure. The data and methods will allow to investigate the behavior of infected individuals and firms at a microscopic scale and reveal the causal relations among infections, human factor and remediation.
