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Data as the new driver for growth? European and Chinese perspectives on the new factor of production
(2021)
Amidst an emerging international systemic competition between China and the Western world, China’s sustained high economic growth rates, technological innovations and successful control of the corona pandemic have raised doubts over the West’s systemic capabilities. In this context, data resources and regimes play an increasing role.
This research note looks at data as present and future driver of innovation and economic growth in more detail. It compares the Chinese and the European perspective on data as well as their respective (planned) policy measures in order to draw tentative conclusions about their different approaches' implications.
We explore a cosmology where the Big Bang singularity is replaced by a condensation event of interacting strings. We study the transition from an uncontrolled, chaotic soup (“before”) to a clearly interacting “real world”. Cosmological inflation scenarios do not fit current observations and are avoided. Instead, long-range interactions inside this crystallization event limit growth and crystal symmetries ensure the same laws of nature and basic symmetries over our domain. Tiny mis-arrangements present nuclei of superclusters and galaxies and crystal structure leads to the arrangement of dark (halo regions) and normal matter (galaxy nuclei) so convenient for galaxy formation. Crystals come and go, allowing an evolutionary cosmology where entropic forces from the quantum soup “outside” of the crystal try to dissolve it. These would correspond to dark energy and leads to a big rip scenario in 70 Gy. Preference of crystals with optimal growth and most condensation nuclei for the next generation of crystals may select for multiple self-organizing processes within the crystal, explaining “fine-tuning” of the local “laws of nature” (the symmetry relations formed within the crystal, its “unit cell”) to be particular favorable for self-organizing processes including life or even conscious observers in our universe.
Independent of cosmology, a crystallization event may explain quantum-decoherence in general: The fact, that in our macroscopic everyday world we only see one reality. This contrasts strongly with the quantum world where you have coherence, a superposition of all quantum states. We suggest that a “real world” (so our everyday macroscopic world) happens only in our domain, i.e. inside a crystal. “Outside” of our domain and our observable universe there is the quantum soup of boiling quantum foam and superposition of all possibilities. In our crystallized world the vacuum no longer boils but is cooled down by the crystallization event and hence is 10**20 smaller, exactly as observed in our everyday world. As we live in a “solid” state, within a crystal, the different quanta which build our world have all their different states nicely separated. This theory postulates there are only n quanta and m states available for them (there is no Everett-like ever splitting multiverse after each decision). In the solid state we live in, there is decoherence, the states are nicely separated. The arrow of entropy for each edge of the crystal forms one fate, one worldline or clear development of a world, while the layers of the crystal are different system states.
Some mathematical leads from loop quantum gravity point to required interactions and potentials. A complete mathematical treatment of this unified theory is far too demanding currently. Interaction potentials for strings or membranes of any dimension allow a solid state of quanta, so allowing decoherence in our observed world are challenging to calculate. However, if we introduce here the heuristic that any type of physical interaction of strings corresponds just to a type of calculation, there is already since 1898 the Hurwitz theorem showing that then only 1D, 2D, 4D and 8D (octonions) allow complex or hypercomplex number calculations. No other hypercomplex numbers and hence dimensions or symmetries are possible to allow calculations without yielding divisions by zero. However, the richest solution allowed by the Hurwitz theorem, octonions, is actually the observed symmetry of our universe, E8.
Previous research has shown that female doctoral graduates earn less than male doctoral graduates; how-ever, the determinants of this gender pay gap remain largely unexplored. Therefore, this paper investigates the determinants of the early career gender pay gap among doctoral graduates in Germany. By relying on effects on the supply and demand sides and feedback between them, I theoretically derive determinants of the gender pay gap that comprise doctoral and occupational characteristics. Using data from a representative German panel study of the 2014 doctoral graduation cohort, I analyse the gender pay gap two years after graduation. I apply linear regression on the logarithmic gross monthly earnings and Oaxaca-Blinder de-composition to examine the explanatory contribution of the determinants to the gender pay gap. The anal-yses reveal that female graduates earn 27.2 % less than male graduates two years after graduation. Male graduates being paid a premium outside academia partly drives this gender pay gap. The considered deter-minants largely explain the overall gender pay gap, the most important determinants being working hours, doctoral subject, industry, professional experience gained after graduation, company size, and academic employment. The results offer new insights on the determinants of the early career gender pay gap among doctoral graduates and thereby shed light on one dimension of gender inequalities in post-doctoral careers.
The DFG project “SDN-enabled Application-aware Network Control Architectures and their Performance Assessment” (DFG SDN-App) focused in phase 1 (Jan 2017 – Dec 2019) on software defined networking (SDN). Being a fundamental paradigm shift, SDN enables a remote control of networking devices made by different vendors from a logically centralized controller. In principle, this enables a more dynamic and flexible management of network resources compared to the traditional legacy networks. Phase 1 focused on multimedia applications and their users’ Quality of Experience (QoE).
This documents reports the achievements of the first phase (Jan 2017 – Dec 2019), which is jointly carried out by the Technical University of Munich, Technical University of Berlin, and University of Würzburg. The project started at the institutions in Munich and Würzburg in January 2017 and lasted until December 2019.
In Phase 1, the project targeted the development of fundamental control mechanisms for network-aware application control and application-aware network control in Software Defined Networks (SDN) so to enhance the user perceived quality (QoE). The idea is to leverage the QoE from multiple applications as control input parameter for application-and network control mechanisms. These mechanisms are implemented by an Application Control Plane (ACP) and a Network Control Plane (NCP). In order to obtain a global view of the current system state, applications and network parameters are monitored and communicated to the respective control plane interface. Network and application information and their demands are exchanged between the control planes so to derive appropriate control actions. To this end, a methodology is developed to assess the application performance and in particular the QoE. This requires an appropriate QoE modeling of the applications considered in the project as well as metrics like QoE fairness to be utilized within QoE management.
In summary, the application-network interaction can improve the QoE for multi-application scenarios. This is ensured by utilizing information from the application layer, which are mapped by appropriate QoS-QoE models to QoE within a network control plane. On the other hand, network information is monitored and communicated to the application control plane. Network and application information and their demands are exchanged between the control planes so to derive appropriate control actions.
The nucleus of statehood is situated at the local level: in the village, the neighborhood, the city district. This is where a community, beyond the level of the family, first develops collective rules that are intended to ensure its continued existence. But usually this is not the only level of governance at play. Above it, there are supralocal formations of power, varying in scope from regional networks to empires, which supplement the local orders or compete with them. The premise of this Research Unit is that local forms of self-governance are especially heterogeneous and prominent, wherever supralocal statehood exists in the mode of weak permeation. The central question of our approach is how local forms of self-governance work in this context. We will examine the relations to the state level as well as to other local groups as they develop over time; the scope and spatial contingency of forms of self-governance; their legitimization and the interdependency with the organization and collective identity of those groups which carry them out; finally, we will turn our attention to the significance of self-governance for the configuration of weak statehood. The empirical focus will be at the local level, which has so far been largely neglected in the research on governance beyond the state. In order to achieve this, we will work with case studies that are structured by categories and situated in geographical areas and time periods that lie outside of modern Europe with its particular development of statehood since the Late Middle Ages: in Antiquity, and in the Global South of the present. By incorporating these different time frames, we hope to contribute to overcoming the dichotomy between the modern and pre-modern era, which is often given canonical status. Our goal is to create a comparative analysis of different configurations of order as well as the development of a typology of patterns of local governance. The structure of the empirical comparison itself promises methodological insights, since it will entail recognizing, dealing with, and overcoming disciplinary limitations. Starting with the identification of typical patterns and processes, we hope to gain a better grasp of the mechanisms by which local configurations of order succeed, while at the same time advancing the theoretical debate. This will allow us to make an interdisciplinary contribution to the understanding of fundamental elements of statehood and local governance that are of central importance, especially in the context of weak statehood. The insights we hope to gain by adopting this historical perspective will contribute to understanding a present that is not based exclusively on its own, seemingly completely new preconditions, and will thus significantly sharpen the political analysis of various forms of governance.
In recent years several community testbeds as well as participatory sensing platforms have successfully established themselves to provide open data to everyone interested. Each of them with a specific goal in mind, ranging from collecting radio coverage data up to environmental and radiation data. Such data can be used by the community in their decision making, whether to subscribe to a specific mobile phone service that provides good coverage in an area or in finding a sunny and warm region for the summer holidays.
However, the existing platforms are usually limiting themselves to directly measurable network QoS. If such a crowdsourced data set provides more in-depth derived measures, this would enable an even better decision making. A community-driven crowdsensing platform that derives spatial application-layer user experience from resource-friendly bandwidth estimates would be such a case, video streaming services come to mind as a prime example. In this paper we present a concept for such a system based on an initial prototype that eases the collection of data necessary to determine mobile-specific QoE at large scale. In addition we reason why the simple quality metric proposed here can hold its own.
White Paper on Crowdsourced Network and QoE Measurements – Definitions, Use Cases and Challenges
(2020)
The goal of the white paper at hand is as follows. The definitions of the terms build a framework for discussions around the hype topic ‘crowdsourcing’. This serves as a basis for differentiation and a consistent view from different perspectives on crowdsourced network measurements, with the goal to provide a commonly accepted definition in the community. The focus is on the context of mobile and fixed network operators, but also on measurements of different layers (network, application, user layer). In addition, the white paper shows the value of crowdsourcing for selected use cases, e.g., to improve QoE or regulatory issues. Finally, the major challenges and issues for researchers and practitioners are highlighted.
This white paper is the outcome of the Würzburg seminar on “Crowdsourced Network and QoE Measurements” which took place from 25-26 September 2019 in Würzburg, Germany. International experts were invited from industry and academia. They are well known in their communities, having different backgrounds in crowdsourcing, mobile networks, network measurements, network performance, Quality of Service (QoS), and Quality of Experience (QoE). The discussions in the seminar focused on how crowdsourcing will support vendors, operators, and regulators to determine the Quality of Experience in new 5G networks that enable various new applications and network architectures. As a result of the discussions, the need for a white paper manifested, with the goal of providing a scientific discussion of the terms “crowdsourced network measurements” and “crowdsourced QoE measurements”, describing relevant use cases for such crowdsourced data, and its underlying challenges. During the seminar, those main topics were identified, intensively discussed in break-out groups, and brought back into the plenum several times. The outcome of the seminar is this white paper at hand which is – to our knowledge – the first one covering the topic of crowdsourced network and QoE measurements.
WUEMoCA is an operational scientific webmapping tool for the regional monitoring of land and water use efficiency in the irrigated croplands of the transboundary Aral Sea Basin that is shared by Kazakhstan, Kyrgyzstan, Tajikistan, Turkmenistan, Uzbekistan, and Afghanistan. Satellite data on land use, crop pro-duction and water consumption is integrated with hydrological and economic information to provide of a set indicators. The tool is useful for large-scale decisions on water distribution or land use, and may be seen as demonstrator for numerous applications in practice, that require independent area-wide spatial information.
The refugee crisis has developed as one of the major challenges for EU governance in recent years. From 2013 onwards, the crisis determined the political agenda and public discourse within European politics. During that time, the numbers of asylum seekers reaching Europe increased dramatically, with more than one million people applying for asylum at the crisis peak in 2015. This paper deals with the efforts taken by the EU and its member states to mitigate and overcome the refugee crisis. How exactly has the EU reacted to the refugee crisis and how and to what extend have the EU and its governance changed throughout the crisis? These research questions are approached through a reconstructive analysis of the whole period of crisis. This approach provides for a comprehensive examination of the refugee crisis that includes all issues, measures and processes of the EU’s policy reaction at the same time.
It will be argued that due to severe shortcomings of the Dublin regulation and the Common European Asylum System, a crisis in the EU’s refugee policy was already predestined. This was the case from 2013 onwards. The EU approached the crisis in three stages – neglect and non-solidarity leading to unilateral approaches by affected states, supranational short-term emergency measures during the peak of crisis and enhanced cooperation with third countries, especially with Turkey, the Western Balkans states and African states – until the crisis lost traction in 2017. Yet, the asylum system’s shortcomings are still not eliminated as the lasting measures of the EU’s crisis management between 2013 and 2018 mainly focused on border security and externalisation. EU governance changed towards more intergovernmental, informal and regional action. Further, the crisis led to serious rows between member states, leading to the fragmentation of the EU into two blocs. With decreasing numbers of asylum seeker in the last few years, what remains is an incomplete asylum system and a political crisis among member states.