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Where have Ukrainian refugees gone? Identifying potential settlement areas across European regions integrating digital and traditional geographic data

González-Leonardo, Miguel (author), Neville, Ruth (author), Gil-Clavel, Sofia (author), Rowe, Francisco (author)

The escalation of conflict in Ukraine has triggered the largest refugee crisis in Europe since WWII. As of early April 2024, over 5.9 million people have fled Ukraine. Large-scale efforts have been made to identify the major receiving countries. However, less is known about the subnational areas within host countries where refugees have...

journal article 2024

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Distributed processing of Dutch AHN laser altimetry changes of the built-up area

Lindenbergh, R.C. (author), Cserép, Máté (author)

The evolution and spreading of data capturing methods ranging from simple GPS devices like smart-phones to large scale imaging equipment – including very high resolution and hyperspectral cameras and LiDAR – resulted in an exponential growth in the amount of spatial data maintained by companies and organizations. At the same time methods for...

journal article 2023

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The social imaginaries on governance through data: Q-methodological analysis of data professionals' views in the field of mobility

Masso, Anu (author), Männiste, Maris (author), Calzati, S. (author)

This study strives to contribute to the discussions on the increasing use of data in organisational settings within specific contexts like governance and control of spatial mobilities. Whereas legal, regulatory, and technical aspects are widely studied, there is less knowledge about public discourses on data, especially the data professionals'...

journal article 2023

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Indicators on firm level innovation activities from web scraped data

Ashouri, Sajad (author), Suominen, Arho (author), Hajikhani, Arash (author), Pukelis, Lukas (author), Schubert, Torben (author), Türkeli, Serdar (author), van Beers, Cees (author), Cunningham, Scott (author)

This article presents data on companies' innovative behavior measured at the firm-level based on web scraped firm-level data derived from medium-high and high-technology companies in the European Union and the United Kingdom. The data are retrieved from individual company websites and contains in total data on 96,921 companies. The data...

journal article 2022

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A Hybrid Recursive Implementation of Broad Learning With Incremental Features

Liu, Di (author), Baldi, S. (author), Yu, Wenwu (author), Chen, C. L.P. (author)

The broad learning system (BLS) paradigm has recently emerged as a computationally efficient approach to supervised learning. Its efficiency arises from a learning mechanism based on the method of least-squares. However, the need for storing and inverting large matrices can put the efficiency of such mechanism at risk in big-data scenarios....

journal article 2022

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Insar coherence analysis for wetlands in alberta, canada using time-series sentinel-1 data

Amani, Meisam (author), Poncos, Valentin (author), Brisco, Brian (author), Foroughnia, Fatemeh (author), Delancey, Evan R. (author), Ranjbar, Sadegh (author)

Wetlands are valuable natural resources which provide numerous services to the environment. Many studies have demonstrated the potential of various types of remote sensing datasets and techniques for wetland mapping and change analysis. However, there are a relatively low number of studies that have investigated the application of the...

journal article 2021

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The impact of data on the role of designers and their process

Lu, Jiahao (author), Gomez Ortega, A. (author), Gonçalves, M. (author), Bourgeois, Jacky (author)

With the advance of the Internet and the Internet of Things, an abundance of 'big' data becomes available. Data science can be incorporated in design, which brings forward various opportunities for designers to benefit from this new material. However, the designer's perspective and their role remains unclear. How do they think about and...

journal article 2021

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Generating high-performance FPGA accelerator designs for big data analytics with Fletcher and Apache Arrow

Peltenburg, J.W. (author), van Straten, J. (author), Brobbel, M. (author), Al-Ars, Z. (author), Hofstee, H.P. (author)

As big data analytics systems are squeezing out the last bits of performance of CPUs and GPUs, the next near-term and widely available alternative industry is considering for higher performance in the data center and cloud is the FPGA accelerator. We discuss several challenges a developer has to face when designing and integrating FPGA...

journal article 2021

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Radar Interferometry: 20 Years of Development in Time Series Techniques and Future Perspectives

Minh, Dinh Ho Tong (author), Hanssen, R.F. (author), Rocca, Fabio (author)

The research and improvement of methods to be used for deformation measurements from space is a challenge. From the previous 20 years, time series Synthetic Aperture Radar (SAR) interferometry techniques have proved for their ability to provide millimeter-scale deformation measurements over time. This paper aims to provide a review of such...

journal article 2020

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Digital Excavation of Mediatized Urban Heritage: Automated Recognition of Buildings in Image Sources

Mager, Tino (author), Hein, C.M. (author)

Digital technologies provide novel ways of visualizing cities and buildings. They also facilitate new methods of analyzing the built environment, ranging from artificial intelligence (AI) to crowdsourced citizen participation. Digital representations of cities have become so refined that they challenge our perception of the real. However,...

journal article 2020

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Roles and capabilities of enterprise architecture in big data analytics technology adoption and implementation

Gong, Y. (author), Janssen, M.F.W.H.A. (author)

Organizations are attempting to harness the power of big data analytics. Enterprise architecture can be used as an instrument to integrate big data analytics into the existing IT landscape and enabling the development of capabilities to create value from these technologies. Yet, there is limited research about the role of enterprise...

journal article 2020

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Data governance: Organizing data for trustworthy Artificial Intelligence

Janssen, M.F.W.H.A. (author), Brous, P.A. (author), Estevez, Elsa (author), Barbosa, Luis S. (author), Janowski, Tomasz (author)

The rise of Big, Open and Linked Data (BOLD) enables Big Data Algorithmic Systems (BDAS) which are often based on machine learning, neural networks and other forms of Artificial Intelligence (AI). As such systems are increasingly requested to make decisions that are consequential to individuals, communities and society at large, their...

journal article 2020

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Trusted decision-making: Data governance for creating trust in data science decision outcomes

Brous, Paul (author), Janssen, M.F.W.H.A. (author)

Organizations are increasingly introducing data science initiatives to support decision-making. However, the decision outcomes of data science initiatives are not always used or adopted by decision-makers, often due to uncertainty about the quality of data input. It is, therefore, not surprising that organizations are increasingly turning to...

journal article 2020

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Digitalization, business models, and SMEs: How do business model innovation practices improve performance of digitalizing SMEs?

Bouwman, W.A.G.A. (author), Nikou, Shahrokh (author), de Reuver, Mark (author)

Digital transformation is requiring companies to rethink and innovate their business models (BMs). However, small- and medium-sized enterprises (SMEs)have scarce time and resources for experimenting with their BMs and implementing new strategies. This paper examines whether SMEs that undergo digital transformation perform better if they...

journal article 2019

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Dark Data as the New Challenge for Big Data Science and the Introduction of the Scientific Data Officer

Schembera, Björn (author), Duran, J.M. (author)

Many studies in big data focus on the uses of data available to researchers, leaving without treatment data that is on the servers but of which researchers are unaware. We call this dark data, and in this article, we present and discuss it in the context of high-performance computing (HPC) facilities. To this end, we provide statistics of a...

journal article 2019

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Techno-optimism and policy-pessimism in the public sector big data debate

Vydra, S. (author), Klievink, A.J. (author)

Despite great potential, high hopes and big promises, the actual impact of big data on the public sector is not always as transformative as the literature would suggest. In this paper, we ascribe this predicament to an overly strong emphasis the current literature places on technical-rational factors at the expense of political decision...

journal article 2019

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Data science empowering the public: Data-driven dashboards for transparent and accountable decision-making in smart cities

Matheus, R. (author), Janssen, M.F.W.H.A. (author), Maheshwari, D. (author)

Dashboards visualize a consolidated set data for a certain purpose which enables users to see what is happening and to initiate actions. Dashboards can be used by governments to support their decision-making and policy processes or to communicate and interact with the public. The objective of this paper is to understand and to support the...

journal article 2018

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The impact of digitalization on business models

Bouwman, W.A.G.A. (author), Nikou, Shahrokh (author), Molina-Castillo, Francisco Jose (author), de Reuver, Mark (author)

Purpose: This paper aims to explore how digital technologies have forced small- to medium-sized enterprises (SMEs) to reconsider and experiment with their business models (BMs) and how this contributes to their innovativeness and performance. Design/methodology/approach: An empirical study has been conducted on 338 European SMEs actively...

journal article 2018

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Data driven social partnerships: Exploring an emergent trend in search of research challenges and questions

Susha, I. (author), Grönlund, Åke (author), Van Tulder, Rob (author)

The volume of data collected by multiple devices, such as mobile phones, sensors, satellites, is growing at an exponential rate. Accessing and aggregating different sources of data, including data outside the public domain, has the potential to provide insights for many societal challenges. This catalyzes new forms of partnerships between...

journal article 2018

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Workshop 8 report: Big data in the digital age and how it can benefit public transport users

Yap, M.D. (author), Munizaga, Marcela (author)

This paper synthesizes evidence from Workshop 8 ‘Big data in the digital age and how it can benefit public transport users’ of the 15th International Conference on Competition and Ownership in Land Passenger Transport. Big data in public transportation has increasingly attracted the attention from both scientists and practitioners, resulting...

journal article 2018