When mobility is not a choice Problematising asylum seekers’ secondary movements and their criminalisation in the EU. CEPS Paper in Liberty and Security in Europe No. 2019-11, December 2019

The notion of ‘secondary movements’ is commonly used to describe the mobility of third country nationals for the purpose of seeking international protection in an EU member state other than the one of first irregular entry according to the EU Dublin Regulation. Secondary movements are often identified as a major insecurity factor undermining the sustainability of the Schengen regime and the functioning of the EU Dublin system. Consequently, EU policies have focused on their ‘criminalisation’, as testified by the range of sanctions included in the 2016 CEAS reform package, and on a ‘policing’ approach, which has materialised in the expanded access to data stored in the EURODAC database by police authorities, and its future interconnection with other EU databases under the 2019 EU Interoperability Regulations. This Paper shows that the EU notion of secondary movements is flawed and must be reconsidered in any upcoming reform of the CEAS. The concept overlooks the fact that asylum seekers’ mobility may be non-voluntary and thus cannot be understood as a matter of ‘free choice’ or in terms of ‘preferences’ about the member state of destination. Such an understanding is based on the wrong assumption that asylum seekers’ decisions to move to a different EU country are illegitimate, as all EU member states are assumed to be ‘safe’ for people in need of international protectio

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Data standardization

With data rapidly becoming the lifeblood of the global economy, the ability to improve its use significantly affects both social and private welfare. Data standardization is key to facilitating and improving the use of data when data portability and interoperability are needed. Absent data standardization, a “Tower of Babel” of different databases may be created, limiting synergetic knowledge production. Based on interviews with data scientists, this Article identifies three main technological obstacles to data portability and interoperability: metadata uncertainties, data transfer obstacles, and missing data. It then explains how data standardization can remove at least some of these obstacles and lead to smoother data flows and better machine learning. The Article then identifies and analyzes additional effects of data standardization. As shown, data standardization has the potential to support a competitive and distributed data collection ecosystem and lead to easier policing in cases where rights are infringed or unjustified harms are created by data-fed algorithms. At the same time, increasing the scale and scope of data analysis can create negative externalities in the form of better profiling, increased harms to privacy, and cybersecurity harms. Standardization also has implications for investment and innovation, especially if lock-in to an inefficient standard occurs. The Article then explores whether market-led standardization initiatives can be relied upon to increase welfare, and the role governmental-facilitated data standardization should play, if at all

Methodology for profiling literature in healthcare simulation

The publications that relate to the application of simulation to healthcare have steadily increased over the years. These publications are scattered amongst various journals that belong to several subject categories, including Operational Research, Health Economics and Pharmacokinetics. The simulation techniques that are applied to the study of healthcare problems are also varied. The aim of this study is to present a methodology for profiling literature in healthcare simulation. In our methodology, we have considered papers on healthcare that have been published between 1970 and 2007 in journals with impact factors that belonging to various subject categories reporting on the application of four simulation techniques, namely, Monte Carlo Simulation, Discrete-Event Simulation, System Dynamics and Agent-Based Simulation. The methodology has the following objectives: (a) to categorise the papers under the different simulation techniques and identify the healthcare problems that each technique is employed to investigate; (b) to profile, within our dataset, variables such as authors, article citations, etc.; (c) to identify turning point (strategically important) papers and authors through co-citation analysis of references cited by the papers in our dataset. The focus of the paper is on the literature profiling methodology, and not the results that have been derived through the application of this methodology. The authors hope that the methodology presented here will be used to conduct similar work in not only healthcare but also other research domains

Business model requirements and challenges in the mobile telecommunication sector

The telecommunications business is undergoing a critical revolution, driven by innovative technologies, globalization, and deregulation. Cellular networks and telecommunications bring radical changes to the way telecom businesses are conducted. Globalization, on the other hand, is tearing down legacy barriers and forcing monopolistic national carriers to compete internationally. Moreover, the noticeable progress of many countries towards deregulation coupled with liberalization is significantly increasing telecom market power and allowing severe competition. The implications of this transition have changed the business rules of the telecom industry. In addition, entrants into the cellular industry have had severe difficulties due to inexistent or weak Business Models (BMs). Designing a BM for a mobile network operator is complex and requires multiple actors to balance different and often conflicting design requirements. Hence, there is a need to enhance operators’ ability in determining what constitutes the most viable business model to meet their strategic objectives within this turbulent environment. In this paper, the authors identify the main mobile BM dimensions along with their interdependencies and further analysis provides mobile network operators with insights to improve their business models in this new ‘boundary-less’ landscape

Information and Communications Technology in Chronic Disease Care: Why is Adoption So Slow and Is Slower Better?

Unlike the widespread adoption of information and communications technology (ICT) in much of the economy, adoption of ICT in clinical care is limited. We examine how a number of not previously emphasized features of the health care and ICT markets interact and exacerbate each other to create barriers for adoption. We also examine how standards can address these barriers and the key issues to consider before investing in ICT. We conclude that the ICT market exhibits a number of unique features that may delay or completely prevent adoption, including low product differentiation, high switching costs, and lack of technical compatibility. These barriers are compounded by the many interlinked markets in health care, which substantially blunt the use of market forces to influence adoption. Patient heterogeneity also exacerbates the barriers by wide variation in needs and ability for using ICT, by high demands for interoperability, and by higher replacement costs. Technical standards are critical for ensuring optimal use of the technology. Careful consideration of the socially optimal time to invest is needed. The value of waiting in health care is likely to be so much greater than in other sectors because the costs of adopting the wrong type of ICT are so much higher.

How Registries Can Help Performance Measurement Improve Care

Suggests ways to better utilize databases of clinical information to evaluate care processes and outcomes and improve measurements of healthcare quality and costs, comparative clinical effectiveness research, and medical product safety surveillance

Big data for monitoring educational systems

This report considers “how advances in big data are likely to transform the context and methodology of monitoring educational systems within a long-term perspective (10-30 years) and impact the evidence based policy development in the sector”, big data are “large amounts of different types of data produced with high velocity from a high number of various types of sources.” Five independent experts were commissioned by Ecorys, responding to themes of: students' privacy, educational equity and efficiency, student tracking, assessment and skills. The experts were asked to consider the “macro perspective on governance on educational systems at all levels from primary, secondary education and tertiary – the latter covering all aspects of tertiary from further, to higher, and to VET”, prioritising primary and secondary levels of education

PDP4XL2: Personal Development Planning for Cross-Institutional Lifelong Learning. Final Report.

This collaborative project PDP4XL2 built on the strengths and successful outcomes of PDP4Life and took as its principal focus the use of personal development planning and e-portfolios to develop and sustain favourable learner attitudes towards lifelong learning and to understand the role that technology plays in supporting that process. Project objectives included identifying student and employer attitudes to and usage of PDP and e-portfolios in the creative industries and health cares. This final report documents the outcomes of the project

Addressing the Quality and Safety Gap Part II: How Nurses Are Shaping, and Being Shaped by, Health Information Technologies

Explores the role of health information technologies (HIT) in improving patient safety and the role of nurses in designing, implementing, and educating clinicians to use HIT, including electronic health records and bar code medication administration