Energy policies are vital tools used by countries to regulate economic and social development as well as guarantee national security. To address the problems of fragmented policy objectives, conflicting tools, and overlapping initiatives, the internal logic and evolutionary trends of energy policies must be explored using the policy content. This study uses 38,277 energy policies as a database and summarizes the four energy policy objectives: clean, low-carbon, safe, and efficient. Using the TextCNN model to classify and deconstruct policies, the LDA + Word2vec theme conceptualization and similarity calculations were compared with the EISMD evolution framework to determine the energy policy theme evolution path. Results indicate that the density of energy policies has increased. Policies have become more comprehensive, barriers between objectives have gradually been broken, and low-carbon objectives have been strengthened. The evolution types are more diversified, evolution paths are more complicated, and the evolution types are often related to technology, industry, and market maturity. Traditional energy themes evolve through inheritance and merger; emerging technology and industry themes evolve through innovation, inheritance, and splitting. Moreover, this study provides a replicable analytical framework for the study of policy evolution in other sectors and evidence for optimizing energy policy design
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‘The network is everlasting’ wrote Robert Filliou and George Brecht in 1967, a statement that, at first glance, still seems to be true of today’s world. Yet there are also signs that the omnipresence of networks is evolving into another reality. In recent times, the limits of networks rather than their endless possibilities have been brought into focus. Ongoing media debates about hate speech, fake news, and algorithmic bias swirl into a growing backlash against networks. Perhaps it is time to reconsider the contemporary reach and relevance of the network imaginary.Accompanying transmediale 2020 End to End’s exhibition ‘The Eternal Network’, this collection gathers contributions from artists, activists, and theorists who engage with the question of the network anew. In referencing Filliou’s eternal notion, the exhibition and publication project closes the loop between pre- and post-internet imaginaries, opening up possible futures with and beyond networks. This calls many of the collection’s authors to turn to instances of independent and critical net cultures as historical points of inspiration for rethinking, reforming, or refuting networks in the present.---The Eternal Network: Vom Enden und Werden der NetzkulturDEUTSCHE FASSUNG:„Das Netzwerk wird es ewig geben“, schrieben Robert Filliou und George Brecht 1967 – eine Aussage, die auf den ersten Blick auch heute noch zuzutreffen scheint. Doch gibt es auch Anzeichen, dass die Allgegenwärtigkeit von Netzwerken eine andere W irklichkeit hervorbringt. Mittlerweile rückt die Endlichkeit von Netzwerken – anstatt deren endlose Möglichkeiten – in den Fokus; davon zeugen die anhaltenden Mediendebatten über Hassrede, Fake News und algorithmischer Diskriminierung. Vielleicht ist es an der Zeit, die aktuelle Reichweite und Relevanz des Netzwerks neu zu betrachten.Begleitend zur Ausstellung „Das ewige Netzwerk“ der transmediale 2020 End to End versammelt dieser Band Beiträge von Künstler*innen, Aktivist*innen und Theoretiker* innen, die sich neu mit der Frage des Netzwerks beschäftigen. Ausstellung und Publikation beziehen sich auf Fillious Konzept von der Ewigkeit des Netzwerks. Sie verbinden dabei die Vorstellungswelten, die zeitlich vor der Entwicklung des Internets entstanden sind, mit jenen, die darauf folgten. So eröffnen sie mögliche Zukünfte mit und jenseits von Netzwerken. Viele Autor*innen in diesem Band lassen sich dabei von historischen Momenten der unabhängigen und kritischen Netzkulturen inspirieren, um Netzwerke der Gegenwart neu zu denken, sie zu reformieren oder anzufechten.
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Copyright enforcement by private third parties – does it work uniformly across the EU? Since the inception of Napster, home copying of digital files has taken a flight. The first providers of software or infrastructure for the illegal exchange of files were held contributory or vicariously liable for copyright infringement. In response, they quickly diluted the chain of liability to such an extent that neither the software producers, nor the service providers could be held liable. Moving further down the communication chain, the rights holders are now requiring Internet Service Providers (ISPs) that provide access to end customers to help them with the enforcement of their rights. This article discusses case-law regarding the enforcement of copyright by Internet Access Providers throughout Europe. At first glance, copyright enforcement has been harmonised by means of a number of directives, and article 8(3) of the Copyright Directive (2001/29/EC) regulates that EU Member States must ensure the position of rights holders with regard to injunctions against ISPs. Problem solved? Case law from Denmark, Ireland, Belgium, Norway, England, The Netherlands, Austria and the Court of Justice of the EU was studied. In addition, the legal practice in Germany was examined. The period of time covered by case law is from 2003 to 2013, the case law gives insight into the differences that still exist after the implementation of the directive.
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The bi-directional communication link with the physical system is one of the main distinguishing features of the Digital Twin paradigm. This continuous flow of data and information, along its entire life cycle, is what makes a Digital Twin a dynamic and evolving entity and not merely a high-fidelity copy. There is an increasing realisation of the importance of a well functioning digital twin in critical infrastructures, such as water networks. Configuration of water network assets, such as valves, pumps, boosters and reservoirs, must be carefully managed and the water flows rerouted, often manually, which is a slow and costly process. The state of the art water management systems assume a relatively static physical model that requires manual corrections. Any change in the network conditions or topology due to degraded control mechanisms, ongoing maintenance, or changes in the external context situation, such as a heat wave, makes the existing model diverge from the reality. Our project proposes a unique approach to real-time monitoring of the water network that can handle automated changes of the model, based on the measured discrepancy of the model with the obtained IoT sensor data. We aim at an evolutionary approach that can apply detected changes to the model and update it in real-time without the need for any additional model validation and calibration. The state of the art deep learning algorithms will be applied to create a machine-learning data-driven simulation of the water network system. Moreover, unlike most research that is focused on detection of network problems and sensor faults, we will investigate the possibility of making a step further and continue using the degraded network and malfunctioning sensors until the maintenance and repairs can take place, which can take a long time. We will create a formal model and analyse the effect on data readings of different malfunctions, to construct a mitigating mechanism that is tailor-made for each malfunction type and allows to continue using the data, albeit in a limited capacity.
The bi-directional communication link with the physical system is one of the main distinguishing features of the Digital Twin paradigm. This continuous flow of data and information, along its entire life cycle, is what makes a Digital Twin a dynamic and evolving entity and not merely a high-fidelity copy. There is an increasing realisation of the importance of a well functioning digital twin in critical infrastructures, such as water networks. Configuration of water network assets, such as valves, pumps, boosters and reservoirs, must be carefully managed and the water flows rerouted, often manually, which is a slow and costly process. The state of the art water management systems assume a relatively static physical model that requires manual corrections. Any change in the network conditions or topology due to degraded control mechanisms, ongoing maintenance, or changes in the external context situation, such as a heat wave, makes the existing model diverge from the reality. Our project proposes a unique approach to real-time monitoring of the water network that can handle automated changes of the model, based on the measured discrepancy of the model with the obtained IoT sensor data. We aim at an evolutionary approach that can apply detected changes to the model and update it in real-time without the need for any additional model validation and calibration. The state of the art deep learning algorithms will be applied to create a machine-learning data-driven simulation of the water network system. Moreover, unlike most research that is focused on detection of network problems and sensor faults, we will investigate the possibility of making a step further and continue using the degraded network and malfunctioning sensors until the maintenance and repairs can take place, which can take a long time. We will create a formal model and analyse the effect on data readings of different malfunctions, to construct a mitigating mechanism that is tailor-made for each malfunction type and allows to continue using the data, albeit in a limited capacity.
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.
