The rapidly evolving aviation environment, driven by the Fourth Industrial Revolution, encompasses smart operations, communication technology, and automation. Airports are increasingly developing new autonomous innovation strategies to meet sustainability goals and address future challenges, such as shifting labor markets, working conditions, and digitalization (ACI World, 2019). This paper explores high-level governance strategies, a benchmarking study, that facilitates this transition. It aims to identify the key characteristics and features of the benchmarking study applicable to the development of autonomous airside operations. It also examines areas for improvement in operations, focusing on Key Performance Areas (KPAs) and strategic objectives related to airside automation. The findings highlight several essential performance areas and formulate it to a tailored benchmarking study that airports or aviation stakeholders can adopt to develop automation in airside operations. These criteria and features are summarized into a benchmarking framework that reflects strategy objectives. This paper contributes a valuable benchmarking methodology, supporting the growing global aviation demand for improvements toward more sustainable and smart autonomous airside operations. This outcome motivates aviation stakeholders to innovate to meet environmental and social sustainability goals.
De samenleving verandert en digitalisering gaat een steeds grotere rol spelen (OECD, 2016, 2019; Schwab, 2016). Studenten aan de HU zullen in hun beroep andere (basis-)vaardigheden op het gebied van rekenen, wiskunde en statistiek nodig hebben om de complexe problemen van de werkvloer aan te pakken dan vroeger (Tout et al., 2017). Hoe gaan opleiders in het HU-onderwijs daarmee om? Welke problemen en dilemma’s duiken daarbij op en welke goede voor-beelden zijn er binnen de HU die met anderen gedeeld kunnen worden? Deze vragen speelden bij het lectoraat Didactiek van Rekenen en Wiskunde, onderdeel van het Kenniscentrum Leren en Innoveren. Ze vormden de aanleiding voor een onderzoek naar de stand van zaken binnen de reken-, wiskunde- en statistiekvakken. De volgende onderzoeksvragen vormden de rode draad van het onderzoek: Hoe gaat men om met de verhouding tussen basisvaardigheden en hogere orde vaardigheden? Gebruiken opleiders ICT in hun lessen? En in hoeverre is er discussie over wat studenten handmatig moeten kunnen en wat zij mogen uitbesteden aan een tool? Welke rol spelen (digitale) tools bij toetsen?
Technological developments have a major impact on how we live, work and learn together. Several authors refer to a fourth revolution in which robots and other intelligent systems take over an increasing number of the current (routine) tasks carried out by humans (Brynjolfsson & McAfee, 2014; Est et al., 2015; Ford, 2016; Helbing, 2014; Ross, 2017; Schwab, 2016). The relationship between man and machine will change fundamentally as a result. We are already noticing this shift, most specifically in the workplace. E.g., in the field of health care, digitalisation and robotisation can empower patients and their families. Hospitals are primarily intended for clients with complex care needs. This has consequences for the tasks carried out by nurses, who become more of a ‘care director’ or ‘research nurse’. Hospitals approach this in different ways, resulting in considerable diversity as to how these roles are fulfilled. These changes, albeit diverse, can also be seen in the roles of accountants, police officers and financial advisers at banks (Biemans, Sjoer, Brouwer and Potting, 2017). The traditional occupational profiles no longer exist and the essence of these professions is shifting. This does not make such occupations less attractive, but requires different qualities. The demand for more highly educated professionals who can carry out complex tasks in a creative and interdisciplinary manner will increase (McKinsey, 2017). Also, other social developments, such as migration and greenification, prompt us to ask new questions, resulting in new paths towards identifying solutions.
MULTIFILE
ILIAD builds on the assets resulting from two decades of investments in policies and infrastructures for the blue economy and aims at establishing an interoperable, data-intensive, and cost-effective Digital Twin of the Ocean (DTO). It capitalizes on the explosion of new data provided by many different earth sources, advanced computing infrastructures (cloud computing, HPC, Internet of Things, Big Data, social networking, and more) in an inclusive, virtual/augmented, and engaging fashion to address all Earth Data challenges. It will contribute towards a sustainable ocean economy as defined by the Centre for the Fourth Industrial Revolution and the Ocean, a hub for global, multi-stakeholder co-operation.
