De druk op een beter presterende en informatiegedreven overheid is bijzonder hoog. Gebruik van open data heeft een directe relatie met de rol, positie en dienstverlening van overheden. Er ontstaan nieuwe mogelijkheden om taken en verantwoordelijkheden in de maatschappij terug te leggen. De grote waarde zit daarbij in ketens. Overheidsinstanties zullen dus moeten samenwerken met private partijen.
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Big data heeft niet alleen geleid tot uitdagende technische vraagstukken, ook gaat het gepaard met allerlei nieuwe ethische en morele kwesties. Om verantwoord met big data om te gaan, moet ook over deze kwesties worden nagedacht. Want slecht datagebruik kan nadelige gevolgen hebben voor grote groepen mensen en voor organisaties. In de slotaflevering van deze serie verkennen Klaas Jan Mollema en Niek van Antwerpen op een pragmatische manier de ethische kant van big data, zonder te blijven steken in de negatieve effecten ervan.
Vanuit Fontys Hogescholen wordt veel onderzoek gedaan, met name door onderzoekers van de verschillende lectoraten. Vanzelfsprekend worden er binnen deze onderzoeken veel data verzameld en verwerkt. Fontys onderschrijft het belang van zorgvuldige omgang met onderzoeksdata en vraagt daarom van onderzoekers dat zij hun Research Data Management (RDM) op orde hebben. Denk hierbij aan veilige opslag en duurzame toegankelijkheid van data. Maar ook (open access) publiceren en archiveren van onderzoeksdata maken onderdeel uit van RDM. Hoe je hier als onderzoeker invulling aan geeft kan soms best een zoektocht zijn, mede doordat nog niet iedereen even bekend is met het onderwerp RDM. Met dit boek hopen we onderzoekers binnen Fontys de belangrijkste informatie te bieden die nodig is om goed invulling te geven aan Research Data Management en daarbij ook te wijzen op de ondersteuning die op dit gebied voorhanden is.
Prompt and timely response to incoming cyber-attacks and incidents is a core requirement for business continuity and safe operations for organizations operating at all levels (commercial, governmental, military). The effectiveness of these measures is significantly limited (and oftentimes defeated altogether) by the inefficiency of the attack identification and response process which is, effectively, a show-stopper for all attack prevention and reaction activities. The cognitive-intensive, human-driven alarm analysis procedures currently employed by Security Operation Centres are made ineffective (as opposed to only inefficient) by the sheer amount of alarm data produced, and the lack of mechanisms to automatically and soundly evaluate the arriving evidence to build operable risk-based metrics for incident response. This project will build foundational technologies to achieve Security Response Centres (SRC) based on three key components: (1) risk-based systems for alarm prioritization, (2) real-time, human-centric procedures for alarm operationalization, and (3) technology integration in response operations. In doing so, SeReNity will develop new techniques, methods, and systems at the intersection of the Design and Defence domains to deliver operable and accurate procedures for efficient incident response. To achieve this, this project will develop semantically and contextually rich alarm data to inform risk-based metrics on the mounting evidence of incoming cyber-attacks (as opposed to firing an alarm for each match of an IDS signature). SeReNity will achieve this by means of advanced techniques from machine learning and information mining and extraction, to identify attack patterns in the network traffic, and automatically identify threat types. Importantly, SeReNity will develop new mechanisms and interfaces to present the gathered evidence to SRC operators dynamically, and based on the specific threat (type) identified by the underlying technology. To achieve this, this project unifies Dutch excellence in intrusion detection, threat intelligence, and human-computer interaction with an industry-leading partner operating in the market of tailored solutions for Security Monitoring.
The precarity in the cultural sector became exposed during the COVID-19 pandemic. With the lockdowns, the sources of income for cultural venues and cultural workers vanished overnight, intensifying an already challenging labour market. Particularly freelance cultural workers were hit hard. While the immediate shock of the pandemic on the cultural sector has been well documented, the effects on the sector in the aftermath of the pandemic are still to be revealed and repaired. This project tackles these issues by zooming in on the case of the performing arts scene in Groningen. This scene constitutes the part of the cultural sector that was affected the most by the lockdowns. Currently, venues and event organizers in Groningen lack qualified freelance staff as many left the industry during the pandemic. At the same time, self-employed cultural workers find it difficult to generate sufficient incomes and develop sustainable careers in the city. The municipality is eager to support the industry, including freelancers, but is unsure about how best to do so. With a consortium composed of the university, the municipality, a knowledge organisation specialised in cultural entrepreneurship, and a network for creative freelancers in the North of the Netherlands the project is well-equipped to reach its two-fold aims of investigating this current situation and coming up with suggestions for solutions. The core component of the project is an interview study with three groups of self-employed cultural freelancers: experienced production staff, experienced performers, and nascent freelancers (both production staff and performers). Based on data from this study, the project provides a multifaceted picture of the cultural ecosystem in Groningen, highlighting how this system is experienced. This establishes a solid foundation for staging discussions on working conditions in the sector, enabling the project to eventually conclude with recommendations on how to improve the situation.
