Towards a Practical Form of Epistemology: The Case of Green Chemistry

This paper explores how chemists are transforming their own current background in order to act upon the world without jeopardizing life. In this respect, I will envisage science as both a system of propositions and a set of engaged practices. The scrutiny of chemical innovations will allow me to query the concepts of paradigm and that of scientific community. In doing so, I will connect the philosophy of science with the philosophy of technology so as to think about our relation with the world

Border control cooperation in the European Union: the Schengen visa policy in practice

This research project investigates the governing of Europe’s external border. It analyses how the common Schengen short-stay visa policy has been applied in practice by member states in the period from 2005 to 2010. So far, little systematic theoretical and empirical research has been carried out on the implementation of Schengen. The contributions of the thesis are two-fold. Firstly, it makes available a comprehensive and easily accessible database on the visa requirements, issuing-practices and consular representation of EU states in all third countries. It enables researchers to map out and compare how restrictively the visa policy is implemented by different member states and across sending countries. Secondly, the project provides three separate papers that in different ways make use of the database to explore and explain the varying openness of Europe’s border and dynamics of cooperation among member states. The three papers are tied together by a framework conceptualising Schengen as a border regime with two key dimensions: restrictiveness and integration. The first paper asks to what extent, and why, Europe’s border is more open to visitors of some nationalities rather than others. The second paper investigates to what extent, and why, EU states cooperate on sharing consular facilities in the visa-issuing process. The third paper examines to what extent, and why, Schengen participation has a restrictive impact on the visa-issuing practices of member countries. The analyses test existing theories and develop new concepts and models. The three papers engage with rationalist and constructivist theories and seek to assess their relative explanatory power. In doing so, the project makes use of different quantitative comparative approaches. It employs regression analysis, social network analytical tools and quasi-experimental design. Overall, the thesis concludes that Schengen is characterized by extensive cooperation and restrictive practices towards especially visitors from poor, Muslim-majority and refugeeproducing countries

Geospatial Information Research: State of the Art, Case Studies and Future Perspectives

Geospatial information science (GI science) is concerned with the development and application of geodetic and information science methods for modeling, acquiring, sharing, managing, exploring, analyzing, synthesizing, visualizing, and evaluating data on spatio-temporal phenomena related to the Earth. As an interdisciplinary scientific discipline, it focuses on developing and adapting information technologies to understand processes on the Earth and human-place interactions, to detect and predict trends and patterns in the observed data, and to support decision making. The authors – members of DGK, the Geoinformatics division, as part of the Committee on Geodesy of the Bavarian Academy of Sciences and Humanities, representing geodetic research and university teaching in Germany – have prepared this paper as a means to point out future research questions and directions in geospatial information science. For the different facets of geospatial information science, the state of art is presented and underlined with mostly own case studies. The paper thus illustrates which contributions the German GI community makes and which research perspectives arise in geospatial information science. The paper further demonstrates that GI science, with its expertise in data acquisition and interpretation, information modeling and management, integration, decision support, visualization, and dissemination, can help solve many of the grand challenges facing society today and in the future

Towards a living earth simulator

The Living Earth Simulator (LES) is one of the core components of the FuturICT architecture. It will work as a federation of methods, tools, techniques and facilities supporting all of the FuturICT simulation-related activities to allow and encourage interactive exploration and understanding of societal issues. Society-relevant problems will be targeted by leaning on approaches based on complex systems theories and data science in tight interaction with the other components of FuturICT. The LES will evaluate and provide answers to realworld questions by taking into account multiple scenarios. It will build on present approaches such as agent-based simulation and modeling, multiscale modelling, statistical inference, and data mining, moving beyond disciplinary borders to achieve a new perspective on complex social systems. © The Author(s) 2012

Reforming Copyright or Toward Another Science? A More Human Rights-Oriented Approach Under the REBSPA in Constructing a Right to Research for Scholarly Publishing

This article identifies copyright impediments existing in the sphere of science, to then make (tentative) suggestions as to how these may be overcome. It focuses on scholarly publishing only, and here primarily on digital content, specifically asking whether expensive commercial scholarly publishers continue to “add value” to research in the digital era. The deficits of copyright law and potential solutions thereto are assessed in the light of the right of everyone “to enjoy the benefits of scientific progress and its applications” (REBSPA) as laid down in Article 15(1)(b) of the International Covenant on Economic, Social and Cultural Rights (ICESCR) of 1966. A substantial part of the discussion examines whether and, if so, in what ways, the REBSPA gives rise to a “right to research,” also in an extraterritorial sense that would require the right to be respected beyond borders, and what the normative implications of such a right would be for copyright and science. It is submitted that current interpretations of the REBSPA reveal flaws and gaps. The REBSPA is accordingly reinterpreted in accordance with what is called a more human rights-oriented approach here, its guiding concept being that of “adequacy for science.” The article finds that, while existing copyright law needs certain reforms in the interim to accommodate the needs of science, in the longer term, entire institutionalized science may have to be reconceived. Genuinely open science and the creation of a “true” scholarly knowledge commons require far-reaching changes in the way copyright applies in the sphere of science. The continued role of commercial scholarly publishing needs to be questioned. Potentially, it will be necessary to “move beyond” the applicability of copyright in the field of science

A Data-driven Methodology Towards Mobility- and Traffic-related Big Spatiotemporal Data Frameworks

Human population is increasing at unprecedented rates, particularly in urban areas. This increase, along with the rise of a more economically empowered middle class, brings new and complex challenges to the mobility of people within urban areas. To tackle such challenges, transportation and mobility authorities and operators are trying to adopt innovative Big Data-driven Mobility- and Traffic-related solutions. Such solutions will help decision-making processes that aim to ease the load on an already overloaded transport infrastructure. The information collected from day-to-day mobility and traffic can help to mitigate some of such mobility challenges in urban areas. Road infrastructure and traffic management operators (RITMOs) face several limitations to effectively extract value from the exponentially growing volumes of mobility- and traffic-related Big Spatiotemporal Data (MobiTrafficBD) that are being acquired and gathered. Research about the topics of Big Data, Spatiotemporal Data and specially MobiTrafficBD is scattered, and existing literature does not offer a concrete, common methodological approach to setup, configure, deploy and use a complete Big Data-based framework to manage the lifecycle of mobility-related spatiotemporal data, mainly focused on geo-referenced time series (GRTS) and spatiotemporal events (ST Events), extract value from it and support decision-making processes of RITMOs. This doctoral thesis proposes a data-driven, prescriptive methodological approach towards the design, development and deployment of MobiTrafficBD Frameworks focused on GRTS and ST Events. Besides a thorough literature review on Spatiotemporal Data, Big Data and the merging of these two fields through MobiTraffiBD, the methodological approach comprises a set of general characteristics, technical requirements, logical components, data flows and technological infrastructure models, as well as guidelines and best practices that aim to guide researchers, practitioners and stakeholders, such as RITMOs, throughout the design, development and deployment phases of any MobiTrafficBD Framework. This work is intended to be a supporting methodological guide, based on widely used Reference Architectures and guidelines for Big Data, but enriched with inherent characteristics and concerns brought about by Big Spatiotemporal Data, such as in the case of GRTS and ST Events. The proposed methodology was evaluated and demonstrated in various real-world use cases that deployed MobiTrafficBD-based Data Management, Processing, Analytics and Visualisation methods, tools and technologies, under the umbrella of several research projects funded by the European Commission and the Portuguese Government.A população humana cresce a um ritmo sem precedentes, particularmente nas áreas urbanas. Este aumento, aliado ao robustecimento de uma classe média com maior poder económico, introduzem novos e complexos desafios na mobilidade de pessoas em áreas urbanas. Para abordar estes desafios, autoridades e operadores de transportes e mobilidade estão a adotar soluções inovadoras no domínio dos sistemas de Dados em Larga Escala nos domínios da Mobilidade e Tráfego. Estas soluções irão apoiar os processos de decisão com o intuito de libertar uma infraestrutura de estradas e transportes já sobrecarregada. A informação colecionada da mobilidade diária e da utilização da infraestrutura de estradas pode ajudar na mitigação de alguns dos desafios da mobilidade urbana. Os operadores de gestão de trânsito e de infraestruturas de estradas (em inglês, road infrastructure and traffic management operators — RITMOs) estão limitados no que toca a extrair valor de um sempre crescente volume de Dados Espaciotemporais em Larga Escala no domínio da Mobilidade e Tráfego (em inglês, Mobility- and Traffic-related Big Spatiotemporal Data —MobiTrafficBD) que estão a ser colecionados e recolhidos. Os trabalhos de investigação sobre os tópicos de Big Data, Dados Espaciotemporais e, especialmente, de MobiTrafficBD, estão dispersos, e a literatura existente não oferece uma metodologia comum e concreta para preparar, configurar, implementar e usar uma plataforma (framework) baseada em tecnologias Big Data para gerir o ciclo de vida de dados espaciotemporais em larga escala, com ênfase nas série temporais georreferenciadas (em inglês, geo-referenced time series — GRTS) e eventos espacio- temporais (em inglês, spatiotemporal events — ST Events), extrair valor destes dados e apoiar os RITMOs nos seus processos de decisão. Esta dissertação doutoral propõe uma metodologia prescritiva orientada a dados, para o design, desenvolvimento e implementação de plataformas de MobiTrafficBD, focadas em GRTS e ST Events. Além de uma revisão de literatura completa nas áreas de Dados Espaciotemporais, Big Data e na junção destas áreas através do conceito de MobiTrafficBD, a metodologia proposta contem um conjunto de características gerais, requisitos técnicos, componentes lógicos, fluxos de dados e modelos de infraestrutura tecnológica, bem como diretrizes e boas práticas para investigadores, profissionais e outras partes interessadas, como RITMOs, com o objetivo de guiá-los pelas fases de design, desenvolvimento e implementação de qualquer pla- taforma MobiTrafficBD. Este trabalho deve ser visto como um guia metodológico de suporte, baseado em Arqui- teturas de Referência e diretrizes amplamente utilizadas, mas enriquecido com as característi- cas e assuntos implícitos relacionados com Dados Espaciotemporais em Larga Escala, como no caso de GRTS e ST Events. A metodologia proposta foi avaliada e demonstrada em vários cenários reais no âmbito de projetos de investigação financiados pela Comissão Europeia e pelo Governo português, nos quais foram implementados métodos, ferramentas e tecnologias nas áreas de Gestão de Dados, Processamento de Dados e Ciência e Visualização de Dados em plataformas MobiTrafficB