Urban regions are confronted with huge sustainability challenges. Their future depends to a large extent on our ability to promote sustainable urban development. However, sustainability challenges in cities are inherently complex and need integrated, multidisciplinary solutions. This textbook on Smart …

The profiles from data-driven profiling applications are a model of the reality. The interpretability of these profiles for end users, e.g. policymakers, is often far from trivial. How and why these models are obtained by the applications are often regarded as a black box. In recent years several profiling …

The increasing interest and discussion on the topic of AI as well as the Netherlands’ high degree of digitalization incited research on the topic. The goal of this study is to evaluate the current applications and use of AI as well as identifying predictive factors in its lower-than-expected adoption. To …

SamenvattingIn opdracht van Snelder Zijlstra Bedrijfsmakelaars is onderzoek gedaan naar de mogelijkheden om Big Data te gebruiken in het (ver)huurproces van een bedrijfsmakelaar. De probleemstelling van het onderzoek luidt als volgt: ‘Welk overzicht met Big Data-analysetools kan voor een bedrijfsmakelaar …

Green spaces play an important role in urban areas. We study the accessibility of green urban areas by combining open data sets about green with population size data. We develop a mathematical model to define the population density of a green area and calculate the available green space depending on …

Hoe overbruggen we de kloof tussen accountant en dataspecialist? Na ruim twee jaar is het tijd voor deel 3 van een serie artikelen over data-analyse. In het eerste artikel werd de buitenste ring van het 'VTAmodel' toegelicht en in het tweede artikel de twee binnenste ringen. Nu worden de toepassingen …

Organizations collect a vast amount of data of different types, from various sources, and through different channels. Primarily, these data are used by these organizations to facilitate their core business processes. However, today we witness a growing tendency to use these data for other purposes than …

During the past two decades the implementation and adoption of information technology has rapidly increased. As a consequence the way businesses operate has changed dramatically. For example, the amount of data has grown exponentially. Companies are looking for ways to use this data to add value to their …

Learning analytics can help higher educational institutions improve learning. Its adoption, however, is a complex undertaking. The Learning Analytics Capability Model describes what 34 organizational capabilities must be developed to support the successful adoption of learning analytics. This paper described …

The current set of research methods on ictresearchmethods.nl contains only one research method that refers to machine learning: the “Data analytics” method in the “Lab” strategy. This does not reflect the way of working in ML projects, where Data Analytics is not a method to answer one question but the …