Economic Policy Voting and Incumbency: Unemployment in Western Europe

The economic voting literature has been dominated by the incumbency-oriented hypothesis, where voters reward or punish government at the ballot box according to economic performance. The alternative, policy-oriented hypothesis, where voters favor parties closest to their issue position, has been neglected in this literature. We explore policy voting with respect to an archetypal economic policy issue – unemployment. Voters who favor lower unemployment should tend to vote for left parties, since they “own” the issue. Examining a large time-series cross-sectional (TSCS) pool of Western European nations, we find some evidence for economic policy voting. However, it exists in a form conditioned by incumbency. According to varied tests, left incumbents actually experience a net electoral cost, if the unemployment rate climbs under their regime. Incumbency, then, serves to break any natural economic policy advantage that might accrue to the left due to the unemployment issue.

Pseudo-Reimannian metrics with parallel spinor fields and vanishing Ricci tensor

I discuss geometry and normal forms for pseudo-Riemannian metrics with parallel spinor fields in some interesting dimensions. I also discuss the interaction of these conditions for parallel spinor fields with the condition that the Ricci tensor vanish (which, for pseudo-Riemannian manifolds, is not an automatic consequence of the existence of a nontrivial parallel spinor field).

Voting behaviour on free votes: Simply a matter of preferences?

Previous research examining the outcomes of free votes concludes that voting behaviour is determined in large part by MPs’ personal preferences. However, most studies do not measure preferences directly and ignore other possible determinants of voting behaviour. This piece illustrates the need to address these shortcomings before one concludes that preferences explain the outcomes of free votes. I illustrate this by examining a series of divisions on the issue of House of Lords reform. Using direct measures of preferences and controlling for alternative explanations, the analysis suggests MPs’ preferences had little effect on voting behaviour on this issue.

The Silent Majority: an Exploration of the Integration of Voting Software within Theatre in Education programmes

I wanted to explore whether traditional Forum Theatre approaches can be enhanced by the use of integrated voting software to empower young people. My research is based on two of a series of widening participation interactive TiE programmes focused on the decisions young people make on educational progression. I worked as a director alongside students studying Drama and Performance at The University of Worcester and the programmes have toured widely to schools across Worcestershire and Herefordshire. ‘It’s Up to You!’ (2013 – 2014) was aimed at years 8 and 9 choosing their GCSE options and ‘Move on Up!’ (2014 - 2015) looked at the hopes and fears of year 6 pupils about to go up to secondary school. Finding a voice in Boal’s framework as a ‘specactor’ does not always appeal to a pupil who does not want to stand out from the crowd or is not familiar with a classroom where drama conventions are practised or understood. The anonymity of the voting software with results of decisions made appearing instantly on screen is certainly appealing to some pupils: ‘I also loved the keypads they gave us so that we could answer the questions without having to put our hand up and wait..’ This paper aims to interrogate the idea that empowering needs to not simply be about giving voice to a few confident group members but allowing the silent majority to be able to experiment with decision making in an educational and social context.

Voting informational Sheet, August 11, 2014

Voting information sheet.

Voting: Fact sheet, August 11, 2014

Information for voting. Every citizen has the right to vote. Absentee voting information

The use of electronic voting systems to enhance deep learning.

The present paper introduces a technology-enhanced teaching method that promotes deep learning. Four stages that correspond to four different student cohorts were used for its development and to analyse its effectiveness. The effectiveness of the method has been assessed in terms of examination results as well as results obtained from class response system software statistics. The evidence gathered indicates that the method developed is very effective and its implementation is straightforward. Furthermore, its success in achieving results seems to be independent of the skills and/or experience of the lecturer.

Tensor Completion for Multidimensional Inverse Problems with Applications to Magnetic Resonance Relaxometry

This thesis deals with tensor completion for the solution of multidimensional inverse problems. We study the problem of reconstructing an approximately low rank tensor from a small number of noisy linear measurements. New recovery guarantees, numerical algorithms, non-uniform sampling strategies, and parameter selection algorithms are developed. We derive a fixed point continuation algorithm for tensor completion and prove its convergence. A restricted isometry property (RIP) based tensor recovery guarantee is proved. Probabilistic recovery guarantees are obtained for sub-Gaussian measurement operators and for measurements obtained by non-uniform sampling from a Parseval tight frame. We show how tensor completion can be used to solve multidimensional inverse problems arising in NMR relaxometry. Algorithms are developed for regularization parameter selection, including accelerated k-fold cross-validation and generalized cross-validation. These methods are validated on experimental and simulated data. We also derive condition number estimates for nonnegative least squares problems. Tensor recovery promises to significantly accelerate N-dimensional NMR relaxometry and related experiments, enabling previously impractical experiments. Our methods could also be applied to other inverse problems arising in machine learning, image processing, signal processing, computer vision, and other fields.

Continuum tensor network field states, path integral representations and spatial symmetries

A natural way to generalize tensor network variational classes to quantum field systems is via a continuous tensor contraction. This approach is first illustrated for the class of quantum field states known as continuous matrix-product states (cMPS). As a simple example of the path-integral representation we show that the state of a dynamically evolving quantum field admits a natural representation as a cMPS. A completeness argument is also provided that shows that all states in Fock space admit a cMPS representation when the number of variational parameters tends to infinity. Beyond this, we obtain a well-behaved field limit of projected entangled-pair states (PEPS) in two dimensions that provide an abstract class of quantum field states with natural symmetries. We demonstrate how symmetries of the physical field state are encoded within the dynamics of an auxiliary field system of one dimension less. In particular, the imposition of Euclidean symmetries on the physical system requires that the auxiliary system involved in the class' definition must be Lorentz-invariant. The physical field states automatically inherit entropy area laws from the PEPS class, and are fully described by the dissipative dynamics of a lower dimensional virtual field system. Our results lie at the intersection many-body physics, quantum field theory and quantum information theory, and facilitate future exchanges of ideas and insights between these disciplines.

The use of e-voting as a new tool of e-participation in modern democracies

Finding the answer to the question of the role of electronic voting in a modern country consti - tutes an important part of researches into electronic democracy. The recent dynamic development of in - formation and communication technologies (ICT) and mass media have been leading to noticeable changes in functioning of contemporary countries and societies. ICT is beginning to play a greater and greater role and filter down to almost every field of contemporary human life – including politics. Elec - tronic voting represents one of the more and more popular forms of so called e-democracy, and is an in - teresting research subject in the context of mechanisms for implementing this form of participation in elections, its legitimization, specific technological solutions for e-voting and their effectiveness as well as unintended consequences. The main subject of this text is the use of electronic voting ( e-voting )asone of the forms of electronic democracy . The article attempts to answer the following research questions: First, what is the impact of ICT on the political processes – particularly on the voting procedures? Sec- ondly, what is the essence of electronic voting and what are its main features? Finally, what are the e-voting experiences in the European countries? The text is devoted rather to general remarks on e-voting, and does not constitute a complete analysis of the issue. It is intended to be a contribution to the further considerations.

Fundamental limitations in the purifications of tensor networks

We show a fundamental limitation in the description of quantum many-body mixed states with tensor networks in purification form. Namely, we show that there exist mixed states which can be represented as a translationally invariant (TI) matrix product density operator valid for all system sizes, but for which there does not exist a TI purification valid for all system sizes. The proof is based on an undecidable problem and on the uniqueness of canonical forms of matrix product states. The result also holds for classical states.

Fiber Pathways for Language in the Developing Brain: A Diffusion Tensor Imaging (DTI) Study

The present study characterized two fiber pathways important for language, the superior longitudinal fasciculus/arcuate fasciculus (SLF/AF) and the frontal aslant tract (FAT), and related these tracts to speech, language, and literacy skill in children five to eight years old. We used Diffusion Tensor Imaging (DTI) to characterize the fiber pathways and administered several language assessments. The FAT was identified for the first time in children. Results showed no age-related change in integrity of the FAT, but did show age-related change in the left (but not right) SLF/AF. Moreover, only the integrity of the right FAT was related to phonology but not audiovisual speech perception, articulation, language, or literacy. Both the left and right SLF/AF related to language measures, specifically receptive and expressive language, and language content. These findings are important for understanding the neurobiology of language in the developing brain, and can be incorporated within contemporary dorsal-ventral-motor models for language.

Voting in Iowa by George B. Mather: with illustrations by Dale Ballantyne, February 1956

This booklet contains information on citizenship and voting in elections in Iowa. It provides a simple means of answering questions asked of election officials. Written by George B. Mather, with illustrations by Dale Ballantyne,

ABSENTEE VOTING In South Carolina

This paper covers the topics: reasons to vote absentee, absentee voting at the county voter registration office, absentee voting by mail and military and overseas citizens

VOTING In South Carolina

This paper explains the voting process including: voting at the polling place, voting absentee, provisional ballots, photo ID requirements, curbside voting, assistance with voting, lost voter registration card and voters without photo ID.