The evolution of recent research on Catalan literature through the production of PhD theses: a bibliometric and social network analysis

Introduction. This paper studies the situation of research on Catalan literature between 1976 and 2003 by carrying out a bibliometric and social network analysis of PhD theses defended in Spain. It has a dual aim: to present interesting results for the discipline and to demonstrate the methodological efficacy of scientometric tools in the humanities, a field in which they are often neglected due to the difficulty of gathering data. Method. The analysis was performed on 151 records obtained from the TESEO database of PhD theses. The quantitative estimates include the use of the UCINET and Pajek software packages. Authority control was performed on the records. Analysis. Descriptive statistics were used to describe the sample and the distribution of responses to each question. Sex differences on key questions were analysed using the Chi-squared test. Results. The value of the figures obtained is demonstrated. The information obtained on the topic and the periods studied in the theses, and on the actors involved (doctoral students, thesis supervisors and members of defence committees), provide important insights into the mechanisms of humanities disciplines. The main research tendencies of Catalan literature are identified. It is observed that the composition of members of the thesis defence committees follows Lotka's Law. Conclusions. Bibliometric analysis and social network analysis may be especially useful in the humanities and in other fields which are lacking in scientometric data in comparison with the experimental sciences.

Inference of chromosomal inversion dynamics from Pool-Seq data in natural and laboratory populations of Drosophila melanogaster.

Sequencing of pools of individuals (Pool-Seq) represents a reliable and cost-effective approach for estimating genome-wide SNP and transposable element insertion frequencies. However, Pool-Seq does not provide direct information on haplotypes so that, for example, obtaining inversion frequencies has not been possible until now. Here, we have developed a new set of diagnostic marker SNPs for seven cosmopolitan inversions in Drosophila melanogaster that can be used to infer inversion frequencies from Pool-Seq data. We applied our novel marker set to Pool-Seq data from an experimental evolution study and from North American and Australian latitudinal clines. In the experimental evolution data, we find evidence that positive selection has driven the frequencies of In(3R)C and In(3R)Mo to increase over time. In the clinal data, we confirm the existence of frequency clines for In(2L)t, In(3L)P and In(3R)Payne in both North America and Australia and detect a previously unknown latitudinal cline for In(3R)Mo in North America. The inversion markers developed here provide a versatile and robust tool for characterizing inversion frequencies and their dynamics in Pool-Seq data from diverse D. melanogaster populations.

Are we wasting our talent? Overqualification and overskilling among PhD graduates

Drawing on a very rich data set from a recent cohort of PhD graduates, we examine the correlates and consequences of qualification and skills mismatch. We show that job characteristics such as the economic sector and the main activity at work play a fundamental direct role in explaining the probability of being well matched. However, the effect of academic attributes seems to be mainly indirect, since it disappears once we control for the full set of work characteristics. We detected a significant earnings penalty for those who are both overqualified and overskilled and also showed that being mismatched reduces job satisfaction, especially for those whose skills are underutilized. Overall, the problem of mismatch among PhD graduates is closely related to demand-side constraints of the labor market. Increasing the supply of adequate jobs and broadening the skills PhD students acquire during training should be explored as possible responses.

Simulating fuel consumption and vehicle emissions in an Australian context

Road transport is a major source of air pollution and greenhouse gas emissions around the world. There is an increasing interest in accurate information on local vehicle emission levels for policy development and sustainable traffic management. Previous studies have shown that emission predictions for the Australian situation need to reflect both the Australian fleet and driving behaviour to avoid unreliable outcomes. This paper discusses a new Australian vehicle emission software (PΔP) and a case-study where traffic simulation software (Aimsun) is combined with PΔP to demonstrate how consistent results can be achieved for the Australian situation. The case-study is an Australian city modelled using the microscopic simulator to generate the required trajectory data of each individual vehicle for the emission model. The simulation results are used in a number of ways: to assess the impacts of urban driving behaviour on fuel consumption, to create maps showing where and when elevated emission levels occur and to compare results with another program (COPERT Australia). The paper will also discuss where further research is required.

PhD Students’ Research Group Networks: a Qualitative Approach

This article examines the networks within the research groups where Spanish PhD students are pursuing their doctorate. Capó et al. (2007) used quantitative data to predict PhD students’ publishing performance from their background, attitudes, supervisors’ performance and research group networks. Variables related to the research group network had a negligible explanatory power on student performance once the remaining variables had been accounted for. In this article, a qualitative follow up of the same students is carried out using extreme case sampling and indepth interviews. The qualitative research shows networking as important for students. Out of the 115 aspects that students mention in the interviews as relevant to publishing in the qualitative research, 92 have to do with their supervisors, their research group or their network as a whole. Similarly, out of the 50 hindrances mentioned, 20 have to do with the networks or relations. The most commonly mentioned network-related topics are research group members pushing PhD students to publish, meeting researchers outside the research group, existence of other PhD students in the group, help with the PhD from group members, supervisor’s interest in the thesis, the possibility of discussing with experts on the PhD’s topic and frequent contact with the supervisor and research group members. Some of these characteristics were not, however, measured in the conventional quantitative social network survey

Breaking down the boundaries to storing, sharing and publishing research data

Presentation at Open Repositories 2014, Helsinki, Finland, June 9-13, 2014

Suorien kiinteistösijoitusten kansainvälinen hajauttaminen : tarkastelussa Japanin, Australian, Norjan ja Saksan asuntohintaindeksien tuottojen korrelaatiomuutokset suhteessa Suomen tuottoihin aikavälillä 1980-2013.

Suorien kiinteistösijoitusten hajauttamisesta kehkeytyi mielenkiintoinen aihe vuonna 2007 alkaneen maailmanlaajuisen talouskriisin seurauksena, jolloin asuntojen hinnat romahtivat lukuisissa maissa. Kiinteistösijoitusten hajauttamiseen liittyy lukuisia ongelmia ja riskejä, mutta myös saavutettavissa olevat hajautushyödyt houkuttelevat sijoittajia. Tutkielmassa etsitään vastausta siihen, voivatko kiinteistösijoitukset tarjota hajautushyötyjä myös silloin, kun volatiliteetti markkinoilla kasvaa ja ajaudutaan matalasuhdanteeseen tai lamaan. Vahvistuuko asuntohintaindeksien tuottojen välinen korrelaatio? Vaikuttaako maantieteellinen sijainti korrelaatio voimakkuuteen? Tutkielmassa keskitytään kansainvälisen kiinteistösijoittamisen mahdollisuuksiin ja ongelmiin, joihin perehdytään aikaisempien tieteellisten tutkimusten kautta sekä itse suoritetun empiirisen tutkimuksen avulla. Tieteellisiä artikkeleja on kerätty pitkältä ajanjaksolta, jotta voitaisiin samalla myös havainnoida tulosten muutoksia ajan kuluessa. Empiirisessä tutkimuksessa havainnoidaan Suomen ja neljän muun maan asuntohintaindeksien tuottojen korrelaatioita aikavälillä 1980-2013. Tutkittavalle ajanjaksolle ajoittuu useita maailmanlaajuisia kriisejä kuten, Aasian talouskriisi, ITkuplan puhkeaminen sekä vuonna 2007 alkanut maailmanlaajuinen talouskriisi. Aineisto tarjoaa tästä johtuen erinomaiset edellytykset hajautushyötyjen tutkimiselle mittavien kriisien keskellä. Empiirinen tutkimus suoritetaan korrelaatioanalyysinä, johon data on saatu Thomson Reuters-tietokannasta Datastream-ohjelman avulla. Tutkielman tulosten mukaan hajautushyötyjä on mahdollista saada myös kriisien keskellä, mutta hajautushyödyt heikkenevät markkinoiden volatiliteetin kasvaessa. Maantieteellisen sijainnin ei erityisesti nähty vaikuttavan kiinteistösijotusten hajautushyötyihin, mutta tarkempiin määritelmiin tarvittaisiin laajempi otos. Tutkielmassa kävi ilmi, että kansainvälisiä hajautushyötyjä on mahdollista saavuttaa kiinteistösijoitusten hajauttamisella. Hajautushyötyjä saatiin kaikilta tutkimuksen mantereilta ja maista, mutta hieman yllättäen parhaat hajautushyödyt oli mahdollista saada Saksan asuntomarkkinoilta. Ilmeisesti Saksan asuntomarkkinoiden vakaus oli suurin syy merkittäviin hajautushyötyihin. Kansainvälisten kriisien keskellä Suomen asuntohintaindeksi reagoi suhteellisen vahvasti. Tulevaisuudessa voidaan odottaa, että kiinteistösijoitusten hajautushyödyt heikkenevät, mutta säilyttävät silti houkuttelevuutensa johtuen markkinoiden paikallisuudesta. Kiinteistösijoittaminen ulkomaille yksinkertaistuu jatkuvasti markkinoiden muuttuessa avoimemmiksi sekä datan saatavuuden parantuessa.

Data-Driven Text Generation using Neural Networks & Provenance is Complicated and Boring — Is there a solution?

Title: Data-Driven Text Generation using Neural Networks Speaker: Pavlos Vougiouklis, University of Southampton Abstract: Recent work on neural networks shows their great potential at tackling a wide variety of Natural Language Processing (NLP) tasks. This talk will focus on the Natural Language Generation (NLG) problem and, more specifically, on the extend to which neural network language models could be employed for context-sensitive and data-driven text generation. In addition, a neural network architecture for response generation in social media along with the training methods that enable it to capture contextual information and effectively participate in public conversations will be discussed. Speaker Bio: Pavlos Vougiouklis obtained his 5-year Diploma in Electrical and Computer Engineering from the Aristotle University of Thessaloniki in 2013. He was awarded an MSc degree in Software Engineering from the University of Southampton in 2014. In 2015, he joined the Web and Internet Science (WAIS) research group of the University of Southampton and he is currently working towards the acquisition of his PhD degree in the field of Neural Network Approaches for Natural Language Processing. Title: Provenance is Complicated and Boring — Is there a solution? Speaker: Darren Richardson, University of Southampton Abstract: Paper trails, auditing, and accountability — arguably not the sexiest terms in computer science. But then you discover that you've possibly been eating horse-meat, and the importance of provenance becomes almost palpable. Having accepted that we should be creating provenance-enabled systems, the challenge of then communicating that provenance to casual users is not trivial: users should not have to have a detailed working knowledge of your system, and they certainly shouldn't be expected to understand the data model. So how, then, do you give users an insight into the provenance, without having to build a bespoke system for each and every different provenance installation? Speaker Bio: Darren is a final year Computer Science PhD student. He completed his undergraduate degree in Electronic Engineering at Southampton in 2012.

Estudio de caso. “el papel de los refugiados en la implementación de la política de libre circulación de la cedeao: visto desde el flujo de Liberia a Ghana”

Este estudio de caso tiene como objetivo determinar las implicaciones del flujo de población refugiada en la implementación de la política de libre circulación de la CEDEAO; tomando como referente el flujo desde Liberia hacia Ghana generado por la Guerra Civil. Esta investigación defiende que las implicaciones pueden estar relacionadas a las dinámicas que se asocian al movimiento de personas, las cuales pueden ser negativas o positivas, razón por la cual los Estados pueden reaccionar endureciendo las políticas migratorias, la obtención de permisos laborales y de residencia, y el cierre de fronteras o la expulsión de refugiados; con el fin de evitar consecuencias a nivel político, económico o en materia de seguridad. Para comprobar lo anterior se va a realizará un análisis de texto, sobre posiciones nacionales y políticas comunitarias, así como una revisión de estudios y estadísticas relacionados con el tema.

PhD Students’ Research Group Networks: a Qualitative Approach

This article examines the networks within the research groups where Spanish PhD students are pursuing their doctorate. Capó et al. (2007) used quantitative data to predict PhD students’ publishing performance from their background, attitudes, supervisors’ performance and research group networks. Variables related to the research group network had a negligible explanatory power on student performance once the remaining variables had been accounted for. In this article, a qualitative follow up of the same students is carried out using extreme case sampling and indepth interviews. The qualitative research shows networking as important for students. Out of the 115 aspects that students mention in the interviews as relevant to publishing in the qualitative research, 92 have to do with their supervisors, their research group or their network as a whole. Similarly, out of the 50 hindrances mentioned, 20 have to do with the networks or relations. The most commonly mentioned network-related topics are research group members pushing PhD students to publish, meeting researchers outside the research group, existence of other PhD students in the group, help with the PhD from group members, supervisor’s interest in the thesis, the possibility of discussing with experts on the PhD’s topic and frequent contact with the supervisor and research group members. Some of these characteristics were not, however, measured in the conventional quantitative social network survey

The PhD in construction management

The PhD process is uncertain, idiosyncratic and vague. Research into the management of PhDs has proved very useful for supervisors and students. It is important for everyone involved in the process to be aware of what can be done to improve the likelihood of success for PhD studies. There are many ways of tackling a PhD and it is not possible to describe construction management as a generic type of study. Rather, construction management is a source of problems and data, whereas solutions and approaches need to be based within established academic disciplines. The clear definition of a research project is an essential prerequisite for success. Although PhDs are difficult, there are many things that can be done by departments, supervisors and students to ease the difficulties. In the long run, the development of an active and dynamic research community is dependent upon a steady flow of high quality PhDs. No-one benefits from an uncompleted or failed PhD.

Input usage, output mix and industry deregulation: an analysis of the Australian dairy manufacturing industry

In this paper we estimate a Translog output distance function for a balanced panel of state level data for the Australian dairy processing sector. We estimate a fixed effects specification employing Bayesian methods, with and without the imposition of monotonicity and curvature restrictions. Our results indicate that Tasmania and Victoria are the most technically efficient states with New South Wales being the least efficient. The imposition of theoretical restrictions marginally affects the results especially with respect to estimates of technical change and industry deregulation. Importantly, our bias estimates show changes in both input use and output mix that result from deregulation. Specifically, we find that deregulation has positively biased the production of butter, cheese and powders.