Everything you always wanted to know about data for the Cultural and Creative Sector production system, but were afraid to ask: Part 1 – Problems of statistical description

This CICERONE paper (D4.2) addresses the problem of the lack of data available to describe the Cultural and Creative Sector (CCS) production system. It explains how and why the currently available data is insufficient in its depth, and breadth of coverage, leading to an appreciation of which activities are made visible, and which are obscured or hidden, by such measures. This paper is the first step in proposing what a sufficient taxonomy would look like: a suitable framework of new data collection related to the CCS production system, which we set out in more detail a following (and linked) paper (D4.3, entitled Everything you always wanted to know about data for the Cultural and Creative Sector production system, but were afraid to ask: Part 2 – Assembling disparate data sources). The purpose of this paper is hence to describe the intersection between definitions, and their operationalisation in taxonomies and actual data collection. It is split into two parts. The first articulates the implications of a ‘Romantic’ definition of culture that has been used previously with an industrial taxonomy: arguably both notions have been failed. We then describe various attempts to conceptualise and mobilise taxonomies that bridge this divide and, in so doing, articulate their limitations. Part two of the paper is more analytic, describing these limitations using the concept of a matrix. The paper advocates a new data matrix – a radical realignment of concepts and industry taxonomies – to be developed more fully in the following and linked paper (D4.3). This matrix is, in effect, the conceptual and practical foundation of a Cultural Economy Observatory that is built as part of the CICERONE project

Everything you always wanted to know about data for the Cultural and Creative Sector production system, but were afraid to ask: Part 2 – Assembling disparate data resources, and preparations for reporting them

This CICERONE paper (D4.3) is part of series addressing the problem of the lack of data available to describe the Cultural and Creative Sector (CCS) production system. This series explains how and why the currently available data is insufficient in its depth, and breadth of coverage, leading to an appreciation of which activities are made visible, and which are obscured or hidden, by such measures. In the first paper of this series (D4.2), entitled Everything you always wanted to know about data for the Cultural and Creative Sector production system, but were afraid to ask: Part 1 – Problems of statistical description, a first step is taken in proposing what a sufficient taxonomy would look like: a suitable framework of new data collection related to the CCS production system. In this paper, we set out this framework in more detail a following. The purpose of D4.2 was to describe the intersection between definitions, and their operationalisation in taxonomies and actual data collection. It articulates the implications of a ‘Romantic’ definition of culture that has been used previously with an industrial taxonomy: arguably both notions have been failed. It then describe various attempts to conceptualise and mobilise taxonomies that bridge this divide and, in so doing, articulate their limitations. In this paper (D4.3), we advocate a new data matrix – a radical realignment of concepts and industry taxonomies. This matrix is, in effect, the conceptual and practical foundation of a Cultural Economy Observatory that is built as part of the CICERONE project

Data for the Cultural and Creative Sector production system: Part 1 – Problems of statistical description

This CICERONE paper (D4.2) addresses the problem of the lack of data available to describe the Cultural and Creative Sector (CCS) production system. It explains how and why the currently available data is insufficient in its depth, and breadth of coverage, leading to an appreciation of which activities are made visible, and which are obscured or hidden, by such measures. This paper is the first step in proposing what a sufficient taxonomy would look like: a suitable framework of new data collection related to the CCS production system, which we set out in more detail a following (and linked) paper (D4.3, entitled Everything you always wanted to know about data for the Cultural and Creative Sector production system, but were afraid to ask: Part 2 – Assembling disparate data sources). The purpose of this paper is hence to describe the intersection between definitions, and their operationalisation in taxonomies and actual data collection. It is split into two parts. The first articulates the implications of a ‘Romantic’ definition of culture that has been used previously with an industrial taxonomy: arguably both notions have been failed. We then describe various attempts to conceptualise and mobilise taxonomies that bridge this divide and, in so doing, articulate their limitations. Part two of the paper is more analytic, describing these limitations using the concept of a matrix. The paper advocates a new data matrix – a radical realignment of concepts and industry taxonomies – to be developed more fully in the following and linked paper (D4.3). This matrix is, in effect, the conceptual and practical foundation of a Cultural Economy Observatory that is built as part of the CICERONE project

Data for the Cultural and Creative Sector production system: Part 2 – Assembling disparate data resources, and preparations for reporting them

This CICERONE paper (D4.3) is part of series addressing the problem of the lack of data available to describe the Cultural and Creative Sector (CCS) production system. This series explains how and why the currently available data is insufficient in its depth, and breadth of coverage, leading to an appreciation of which activities are made visible, and which are obscured or hidden, by such measures. In the first paper of this series (D4.2), entitled Everything you always wanted to know about data for the Cultural and Creative Sector production system, but were afraid to ask: Part 1 – Problems of statistical description, a first step is taken in proposing what a sufficient taxonomy would look like: a suitable framework of new data collection related to the CCS production system. In this paper, we set out this framework in more detail a following. The purpose of D4.2 was to describe the intersection between definitions, and their operationalisation in taxonomies and actual data collection. It articulates the implications of a ‘Romantic’ definition of culture that has been used previously with an industrial taxonomy: arguably both notions have been failed. It then describe various attempts to conceptualise and mobilise taxonomies that bridge this divide and, in so doing, articulate their limitations. In this paper (D4.3), we advocate a new data matrix – a radical realignment of concepts and industry taxonomies. This matrix is, in effect, the conceptual and practical foundation of a Cultural Economy Observatory that is built as part of the CICERONE project

Applying spatial reasoning to topographical data with a grounded geographical ontology

Grounding an ontology upon geographical data has been pro- posed as a method of handling the vagueness in the domain more effectively. In order to do this, we require methods of reasoning about the spatial relations between the regions within the data. This stage can be computationally expensive, as we require information on the location of points in relation to each other. This paper illustrates how using knowledge about regions allows us to reduce the computation required in an efficient and easy to understand manner. Further, we show how this system can be implemented in co-ordination with segmented data to reason abou

Universally Composable Quantum Multi-Party Computation

The Universal Composability model (UC) by Canetti (FOCS 2001) allows for secure composition of arbitrary protocols. We present a quantum version of the UC model which enjoys the same compositionality guarantees. We prove that in this model statistically secure oblivious transfer protocols can be constructed from commitments. Furthermore, we show that every statistically classically UC secure protocol is also statistically quantum UC secure. Such implications are not known for other quantum security definitions. As a corollary, we get that quantum UC secure protocols for general multi-party computation can be constructed from commitments

Interaction-free generation of entanglement

In this paper, we study how to generate entanglement by interaction-free measurement. Using Kwiat et al.'s interferometer, we construct a two-qubit quantum gate that changes a particle's trajectory according to the other particle's trajectory. We propose methods for generating the Bell state from an electron and a positron and from a pair of photons by this gate. We also show that using this gate, we can carry out the Bell measurement with the probability of 3/4 at the maximum and execute a controlled-NOT operation by the method proposed by Gottesman and Chuang with the probability of 9/16 at the maximum. We estimate the success probability for generating the Bell state by our procedure under imperfect interaction.Comment: 18 pages, Latex2e, 11 eps figures, v2: minor corrections and one reference added, v3: a minor correctio

Controlled order rearrangement encryption for quantum key distribution

A novel technique is devised to perform orthogonal state quantum key distribution. In this scheme, entangled parts of a quantum information carrier are sent from Alice to Bob through two quantum channels. However before the transmission, the orders of the quantum information carrier in one channel is reordered so that Eve can not steal useful information. At the receiver's end, the order of the quantum information carrier is restored. The order rearrangement operation in both parties is controlled by a prior shared control key which is used repeatedly in a quantum key distribution session.Comment: 5 pages and 2 figure

Some Properties of the Computable Cross Norm Criterion for Separability

The computable cross norm (CCN) criterion is a new powerful analytical and computable separability criterion for bipartite quantum states, that is also known to systematically detect bound entanglement. In certain aspects this criterion complements the well-known Peres positive partial transpose (PPT) criterion. In the present paper we study important analytical properties of the CCN criterion. We show that in contrast to the PPT criterion it is not sufficient in dimension 2 x 2. In higher dimensions we prove theorems connecting the fidelity of a quantum state with the CCN criterion. We also analyze the behaviour of the CCN criterion under local operations and identify the operations that leave it invariant. It turns out that the CCN criterion is in general not invariant under local operations.Comment: 7 pages; accepted by Physical Review A; error in Appendix B correcte

An alternative approach to the construction of Schur-Weyl transform

We propose an alternative approach for the construction of the unitary matrix which performs generalized unitary rotations of the system consisting of independent identical subsystems (for example spin system). This matrix, when applied to the system, results in a change of degrees of freedom, uncovering the information hidden in non-local degrees of freedom. This information can be used, inter alia, to study the structure of entangled states, their classification and may be useful for construction of quantum algorithms.Comment: 6 page