4,044 research outputs found

    Translating EU civil protection in the Nordic states – towards a theoretical understanding of the creation of European crisis management capacities.

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    This paper analyses how EU civil protection is translated (both in a linguistic/conceptual sense and in an organisational sense) in the Nordic states. The analysis builds on interviews with civil servants and illustrates how European crisis management capacities are created. Doing so it also contributes to the debate about Europeanization and how it can be studied. The paper shows that the creation of European crisis management capacities (in a wide sense) leads to Europeanization, which involves a translation process where linguistic/conceptual translation and organisational change are intertwined, and where differing national traditions affect the process

    Automated model linkages: the example of CAPRI

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    Increasing demand for policy impact assessment regarding social, economic and environmental aspects asks for combined application of different models and tools. The paper discusses concepts and challenges in linking models, taking CAPRI (Common Agricultural Policy Regionalised Impact) model as an example. CAPRI combines different economic models, spatial downscaling and interfaces to bio-physical components. 250 non-linear regional programming models with econometrically estimated costs functions cover the EU-27, Norway and Western Balkans. They are consistently linked to a spatial globally closed trade model, covering 60 countries / country blocks and 50 primary and secondary agricultural products. The link is based on sequential calibration: the market models prices drive the programming models whereas its supply and feed demand curves are calibrated to the programming models’ results, iteratively repeated to convergence. CAPRI integrates projection results from other model systems in the baseline generation and calibrates the supply models to econometric estimations or the supply response from other models as in SEAMLESS. The spatial down-scaling component breaks down the regional EU-27 results regarding cropping shares, crop yields, animal stocking densities and fertilizer application rates to about 140 000 1x1 km pixel cluster and links these results to a statistical meta model of the bio-physical model DNDC.model linkage, linking economic and environmental models, policy impact assessment, Agricultural and Food Policy, Research Methods/ Statistical Methods,

    On Mubayi's Conjecture and conditionally intersecting sets

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    Mubayi's Conjecture states that if F\mathcal{F} is a family of kk-sized subsets of [n]={1,,n}[n] = \{1,\ldots,n\} which, for kd2k \geq d \geq 2, satisfies A1AdA_1 \cap\cdots\cap A_d \neq \emptyset whenever A1Ad2k|A_1 \cup\cdots\cup A_d| \leq 2k for all distinct sets A1,,AdFA_1,\ldots,A_d \in\mathcal{F}, then F(n1k1)|\mathcal{F}|\leq \binom{n-1}{k-1}, with equality occurring only if F\mathcal{F} is the family of all kk-sized subsets containing some fixed element. This paper proves that Mubayi's Conjecture is true for all families that are invariant with respect to shifting; indeed, these families satisfy a stronger version of Mubayi's Conjecture. Relevant to the conjecture, we prove a fundamental bijective duality between (i,j)(i,j)-unstable families and (j,i)(j,i)-unstable families. Generalising previous intersecting conditions, we introduce the (d,s,t)(d,s,t)-conditionally intersecting condition for families of sets and prove general results thereon. We conjecture on the size and extremal structures of families F([n]k)\mathcal{F}\in\binom{[n]}{k} that are (d,2k)(d,2k)-conditionally intersecting but which are not intersecting, and prove results related to this conjecture. We prove fundamental theorems on two (d,s)(d,s)-conditionally intersecting families that generalise previous intersecting families, and we pose an extension of a previous conjecture by Frankl and F\"uredi on (3,2k1)(3,2k-1)-conditionally intersecting families. Finally, we generalise a classical result by Erd\H{o}s, Ko and Rado by proving tight upper bounds on the size of (2,s)(2,s)-conditionally intersecting families F2[n]\mathcal{F}\subseteq 2^{[n]} and by characterising the families that attain these bounds. We extend this theorem for certain parametres as well as for sufficiently large families with respect to (2,s)(2,s)-conditionally intersecting families F2[n]\mathcal{F}\subseteq 2^{[n]} whose members have at most a fixed number uu members

    Towards unsupervised ontology learning from data

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    Data-driven elicitation of ontologies from structured data is a well-recognized knowledge acquisition bottleneck. The development of efficient techniques for (semi-)automating this task is therefore practically vital - yet, hindered by the lack of robust theoretical foundations. In this paper, we study the problem of learning Description Logic TBoxes from interpretations, which naturally translates to the task of ontology learning from data.In the presented framework, the learner is provided with a set of positive interpretations (i.e., logical models) of the TBox adopted by the teacher. The goal is to correctly identify the TBox given this input. We characterize the key constraints on the models that warrant finite learnability of TBoxes expressed in selected fragments of the Description Logic ε λ and define corresponding learning algorithms.This work was funded in part by the National Research Foundation under Grant no. 85482

    EU-WIDE FARM TYPES SUPPLY IN CAPRI - HOW TO CONSISTENTLY DISAGGREGATE SECTOR MODELS INTO FARM TYPE MODEL

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    EU-wide farm supply analysis, highest posterior density estimator, CAPRI, Research Methods/ Statistical Methods,

    RECENT DEVELOPMENTS IN EU POLICIES – CHALLENGES FOR PARTIAL EQUILIBRIUM MODELS

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    This paper gives an overview on current and prospective modelling challenges for agricultural partial equilibrium (PE) models focussing on EU policies. Starting from a certain policy context, the paper highlights the current capabilities and limitations of existing PE models and, if available, develops some ideas on future modelling directions to advance the usefulness of quantitative information provided.Policy impact assessment, agricultural partial equilibrium models, Common Agricultural Policy, Agricultural and Food Policy, Research Methods/ Statistical Methods,
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