Manoeuvring towards research decline:the RAE and the decline of Britain's international research standing

Purpose: This research paper aims to examine the global trends in publishing in the leading marketing journals between 1964 and 2008, focusing on how public policy intervention in the assessment and funding of academic research has influenced Britain's relative productivity in the world's leading marketing journals. Design/methodology/approach: The method was an audit of contributions to the leading journals based on the authors' affiliation, country of origin and country in which they obtained their doctoral training. Findings: The results show that the proportion of leading marketing publications by authors affiliated to British universities have held steady at about 2 per cent, while the productivity of several other countries has accelerated past Britain. However, to retain that share, Britain has increasingly depended upon importing people whose PhD is not British. This contrasts with some other European countries that are now more productive than Britain, but mainly recruit locals with local PhDs. The pattern of decline in the UK is related to the impact of Britain's research assessment exercise and the continuation of relatively weak social science research training. Research limitations/implications: The analysis is limited by only looking at one academic discipline and only the top few academic journals in the field. Practical implications: The findings have implications at several levels. At a national policy level it questions the value of the research assessment exercises that appear to have presided over a decline in research productivity. For institutions, it questions the value in investing in developing local talent when success has come to those who buy talent internationally. Perhaps, the major implication arises from Britain's academic productivity declining while neighbouring countries have grown in international excellence. Originality/value: At a time when the continuation of expensive university research assessments is being questioned the research findings add value to the current debate in showing how that very process has accompanied academic decline. © Emerald Group Publishing Limited.

Learning Data-Driven Models of Non-Verbal Behaviors for Building Rapport Using an Intelligent Virtual Agent

There is a growing societal need to address the increasing prevalence of behavioral health issues, such as obesity, alcohol or drug use, and general lack of treatment adherence for a variety of health problems. The statistics, worldwide and in the USA, are daunting. Excessive alcohol use is the third leading preventable cause of death in the United States (with 79,000 deaths annually), and is responsible for a wide range of health and social problems. On the positive side though, these behavioral health issues (and associated possible diseases) can often be prevented with relatively simple lifestyle changes, such as losing weight with a diet and/or physical exercise, or learning how to reduce alcohol consumption. Medicine has therefore started to move toward finding ways of preventively promoting wellness, rather than solely treating already established illness. Evidence-based patient-centered Brief Motivational Interviewing (BMI) interven- tions have been found particularly effective in helping people find intrinsic motivation to change problem behaviors after short counseling sessions, and to maintain healthy lifestyles over the long-term. Lack of locally available personnel well-trained in BMI, however, often limits access to successful interventions for people in need. To fill this accessibility gap, Computer-Based Interventions (CBIs) have started to emerge. Success of the CBIs, however, critically relies on insuring engagement and retention of CBI users so that they remain motivated to use these systems and come back to use them over the long term as necessary. Because of their text-only interfaces, current CBIs can therefore only express limited empathy and rapport, which are the most important factors of health interventions. Fortunately, in the last decade, computer science research has progressed in the design of simulated human characters with anthropomorphic communicative abilities. Virtual characters interact using humans’ innate communication modalities, such as facial expressions, body language, speech, and natural language understanding. By advancing research in Artificial Intelligence (AI), we can improve the ability of artificial agents to help us solve CBI problems. To facilitate successful communication and social interaction between artificial agents and human partners, it is essential that aspects of human social behavior, especially empathy and rapport, be considered when designing human-computer interfaces. Hence, the goal of the present dissertation is to provide a computational model of rapport to enhance an artificial agent’s social behavior, and to provide an experimental tool for the psychological theories shaping the model. Parts of this thesis were already published in [LYL+12, AYL12, AL13, ALYR13, LAYR13, YALR13, ALY14].

Positionality and Comparisons: Critical Views on Qualitative Research across Asia

Ce cahier est basé sur la réflexion autobiographique de deux chercheuses ayant effectué des recherches qualitatives et ethnographiques, de 2008 à 2014, en Asie centrale et du Sud-­‐Est. Les expériences sur le terrain constituent des moyens de comparaisons dans le présent document. En mettant l’accent sur le positionnement sur le terrain, l’étude montre que, d’abord, il est essentiel de détenir une poste intermédiaire et de parler une langue locale afin de garantir un accès et de mener des activités de recherche sur le terrain. Deuxièmement, différentes régions prédéterminent des contextes culturels et politiques ponctuels qui, à leur tour, façonneraient la recherche en sciences sociales. Troisièmement, le fait d’être une femme présente à la fois des avantages et des inconvénients. Enfin, en termes de méthodologie, les stages et les entrevues se sont avérés des méthodes fiables pour la collecte des données empiriques sur les régions ci-­‐dessus mentionnées, sans pour autant permettre de bâtir la confiance.

Positionality and Comparisons: Critical Views on Qualitative Research across Asia

Ce cahier est basé sur la réflexion autobiographique de deux chercheuses ayant effectué des recherches qualitatives et ethnographiques, de 2008 à 2014, en Asie centrale et du Sud-­‐Est. Les expériences sur le terrain constituent des moyens de comparaisons dans le présent document. En mettant l’accent sur le positionnement sur le terrain, l’étude montre que, d’abord, il est essentiel de détenir une poste intermédiaire et de parler une langue locale afin de garantir un accès et de mener des activités de recherche sur le terrain. Deuxièmement, différentes régions prédéterminent des contextes culturels et politiques ponctuels qui, à leur tour, façonneraient la recherche en sciences sociales. Troisièmement, le fait d’être une femme présente à la fois des avantages et des inconvénients. Enfin, en termes de méthodologie, les stages et les entrevues se sont avérés des méthodes fiables pour la collecte des données empiriques sur les régions ci-­‐dessus mentionnées, sans pour autant permettre de bâtir la confiance.

Evaluating the Business Impact of Social Science: a report to the ESRC

This report presents the main findings from a project entitled ‘Evaluating the Business Impact of Social Science', commissioned by the Economic and Social Research Council (ESRC) and undertaken by a team of researchers from the University of Hull. In brief, the project involved an examination of the processes through which social science research and related activities impact upon business (defined broadly to incorporate large and small private sector businesses as well as social enterprises, but excluding public sector organisations) in relation to three of the UK’s leading business/management schools that have received significant amounts of ESRC funding in recent years: Cardiff Business School, Lancaster University Management School, and Warwick Business School

Measuring the Diversity and the Integration of Film Production in Mercosur: A Social Network Analysis

Based on an original and comprehensive database of all feature fiction films produced in Mercosur between 2004 and 2012, the paper analyses whether the Mercosur film industry has evolved towards an integrated and culturally more diverse market. It provides a summary of policy opportunities in terms of integration and diversity, emphasizing the limiter role played by regional policies. It then shows that although the Mercosur film industry remains rather disintegrated, it tends to become more integrated and culturally more diverse. From a methodological point of view, the combination of Social Network Analysis and the Stirling Model opens up interesting research tracks to analyse creative industries in terms of their market integration and their cultural diversity.

Committing Curricular Time to Science Literacy: The Benefits from Science-based Media Resources

Science reported in the media is an authentic source material to explore science research and innovation, to learn how science works and to consolidate science literacy skills.

Media reports intended to communicate science research and innovation provide opportunities for teachers to develop among their pupils the critical reading skills that are essential for promoting literacy in science.

This study focuses on a curricular intervention with upper primary pupils (age 11 years) and uses science reported in the media to facilitate science directed learning in the primary curriculum.

The study suggests that the use of science based media reports can be a positive learning experience for pupils. Strategies and teaching approaches can be used to boost pupils’ confidence and competence to adopt critical reading strategies when they encounter science-based media.

Critical reading and reasoning strategies vary in their degree of difficulty. This study would suggest that, when using media-based resources, teachers need approaches that systematically address the different levels of cognative challenge presented by media resources and create opportunities within the curriculum to revisit, consolidate and develop pupils’ critical reasoning skills.

Social machines dictating social behaviors – When context is missing what is the fallout of uberveillance?

Abstract: In the mid-1990s when I worked for a telecommunications giant I struggled to gain access to basic geodemographic data. It cost hundreds of thousands of dollars at the time to simply purchase a tile of satellite imagery from Marconi, and it was often cheaper to create my own maps using a digitizer and A0 paper maps. Everything from granular administrative boundaries to right-of-ways to points of interest and geocoding capabilities were either unavailable for the places I was working in throughout Asia or very limited. The control of this data was either in a government’s census and statistical bureau or was created by a handful of forward thinking corporations. Twenty years on we find ourselves inundated with data (location and other) that we are challenged to amalgamate, and much of it still “dirty” in nature. Open data initiatives such as ODI give us great hope for how we might be able to share information together and capitalize not only in the crowdsourcing behavior but in the implications for positive usage for the environment and for the advancement of humanity. We are already gathering and amassing a great deal of data and insight through excellent citizen science participatory projects across the globe. In early 2015, I delivered a keynote at the Data Made Me Do It conference at UC Berkeley, and in the preceding year an invited talk at the inaugural QSymposium. In gathering research for these presentations, I began to ponder on the effect that social machines (in effect, autonomous data collection subjects and objects) might have on social behaviors. I focused on studying the problem of data from various veillance perspectives, with an emphasis on the shortcomings of uberveillance which included the potential for misinformation, misinterpretation, and information manipulation when context was entirely missing. As we build advanced systems that rely almost entirely on social machines, we need to ponder on the risks associated with following a purely technocratic approach where machines devoid of intelligence may one day dictate what humans do at the fundamental praxis level. What might be the fallout of uberveillance? Bio: Dr Katina Michael is a professor in the School of Computing and Information Technology at the University of Wollongong. She presently holds the position of Associate Dean – International in the Faculty of Engineering and Information Sciences. Katina is the IEEE Technology and Society Magazine editor-in-chief, and IEEE Consumer Electronics Magazine senior editor. Since 2008 she has been a board member of the Australian Privacy Foundation, and until recently was the Vice-Chair. Michael researches on the socio-ethical implications of emerging technologies with an emphasis on an all-hazards approach to national security. She has written and edited six books, guest edited numerous special issue journals on themes related to radio-frequency identification (RFID) tags, supply chain management, location-based services, innovation and surveillance/ uberveillance for Proceedings of the IEEE, Computer and IEEE Potentials. Prior to academia, Katina worked for Nortel Networks as a senior network engineer in Asia, and also in information systems for OTIS and Andersen Consulting. She holds cross-disciplinary qualifications in technology and law.

Data Science Seminar: The data science revolution in Physics and Astronomy

Abstract Heading into the 2020s, Physics and Astronomy are undergoing experimental revolutions that will reshape our picture of the fabric of the Universe. The Large Hadron Collider (LHC), the largest particle physics project in the world, produces 30 petabytes of data annually that need to be sifted through, analysed, and modelled. In astrophysics, the Large Synoptic Survey Telescope (LSST) will be taking a high-resolution image of the full sky every 3 days, leading to data rates of 30 terabytes per night over ten years. These experiments endeavour to answer the question why 96% of the content of the universe currently elude our physical understanding. Both the LHC and LSST share the 5-dimensional nature of their data, with position, energy and time being the fundamental axes. This talk will present an overview of the experiments and data that is gathered, and outlines the challenges in extracting information. Common strategies employed are very similar to industrial data! Science problems (e.g., data filtering, machine learning, statistical interpretation) and provide a seed for exchange of knowledge between academia and industry. Speaker Biography Professor Mark Sullivan Mark Sullivan is a Professor of Astrophysics in the Department of Physics and Astronomy. Mark completed his PhD at Cambridge, and following postdoctoral study in Durham, Toronto and Oxford, now leads a research group at Southampton studying dark energy using exploding stars called "type Ia supernovae". Mark has many years' experience of research that involves repeatedly imaging the night sky to track the arrival of transient objects, involving significant challenges in data handling, processing, classification and analysis.

A guideline to improve qualitative social science publishing in ecology and conservation journals

A rise in qualitative social science manuscripts published in ecology and conservation journals speaks to the growing awareness of the importance of the human dimension in maintaining and improving Earth’s ecosystems. Given the rise in the quantity of qualitative social science research published in ecology and conservation journals, it is worthwhile quantifying the extent to which this research is meeting established criteria for research design, conduct, and interpretation. Through a comprehensive review of this literature, we aimed to gather and assess data on the nature and extent of information presented on research design published qualitative research articles, which could be used to judge research quality. Our review was based on 146 studies from across nine ecology and conservation journals. We reviewed and summarized elements of quality that could be used by reviewers and readers to evaluate qualitative research (dependability, credibility, confirmability, and transferability); assessed the prevalence of these elements in research published in ecology and conservation journals; and explored the implications of sound qualitative research reporting for applying research findings. We found that dependability and credibility were reasonably well reported, albeit poorly evolved in relation to critical aspects of qualitative social science such as methodology and triangulation, including reflexivity. Confirmability was, on average, inadequately accounted for, particularly with respect to researchers’ ontology, epistemology, or philosophical perspective and their choice of methodology. Transferability was often poorly developed in terms of triangulation methods and the suitability of the sample for answering the research question/s. Based on these findings, we provide a guideline that may be used to evaluate qualitative research presented in ecology and conservation journals to help secure the role of qualitative research and its application to decision making.

The role of new information and communication technologies (ICTs) in information and communication in science. A conceptual framework and empirical study

Problem This dissertation presents a literature-based framework for communication in science (with the elements partners, purposes, message, and channel), which it then applies in and amends through an empirical study of how geoscientists use two social computing technologies (SCTs), blogging and Twitter (both general use and tweeting from conferences). How are these technologies used and what value do scientists derive from them? Method The empirical part used a two-pronged qualitative study, using (1) purposive samples of ~400 blog posts and ~1000 tweets and (2) a purposive sample of 8 geoscientist interviews. Blog posts, tweets, and interviews were coded using the framework, adding new codes as needed. The results were aggregated into 8 geoscientist case studies, and general patterns were derived through cross-case analysis. Results A detailed picture of how geoscientists use blogs and twitter emerged, including a number of new functions not served by traditional channels. Some highlights: Geoscientists use SCTs for communication among themselves as well as with the public. Blogs serve persuasion and personal knowledge management; Twitter often amplifies the signal of traditional communications such as journal articles. Blogs include tutorials for peers, reviews of basic science concepts, and book reviews. Twitter includes links to readings, requests for assistance, and discussions of politics and religion. Twitter at conferences provides live coverage of sessions. Conclusions Both blogs and Twitter are routine parts of scientists' communication toolbox, blogs for in-depth, well-prepared essays, Twitter for faster and broader interactions. Both have important roles in supporting community building, mentoring, and learning and teaching. The Framework of Communication in Science was a useful tool in studying these two SCTs in this domain. The results should encourage science administrators to facilitate SCT use of scientists in their organization and information providers to search SCT documents as an important source of information.

Fachliche Publikationskulturen und Open Access. Fächerübergreifende Entwicklungstendenzen und Spezifika der Erziehungswissenschaft und Bildungsforschung

Open Access zu öffentlich geförderten wissenschaftlichen Publikationen ist unter dem Vorzeichen der „Openness“ Teil einer zunehmend bedeutsamen globalen Entwicklung mit strukturellen Folgen für Wissenschaft, Forschung und Bildung. Dabei bedingen die jeweiligen fachkulturellen Ausgangslagen und ökonomischen Interessenskonstellationen sehr stark, in welcher Weise, mit welcher Reichweite und Akzeptanz sich das Open-Access-Paradigma konkret materialisiert. Die vorliegende Arbeit geht dieser Frage am Beispiel des inter- bzw. pluridisziplinären Feldes der Erziehungswissenschaft/Bildungsforschung nach. Zum einen werden die fachlichen und soziokulturellen Konstellationen des Publizierens im disziplinären Feld, die verlagswirtschaftlichen Marktkonstellationen sowie die informationsinfrastrukturellen Bedingungen des Fachgebietes analysiert und ein differenziertes Gesamtbild erstellt. Gestützt auf eine Online-Befragung der Fachcommunity Erziehungswissenschaft/Bildungsforschung werden weitergehende Erkenntnisse über vorhandene Open-Access-Erfahrungen im Fachgebiet und Hemmnisse bzw. Anforderungen an das neue Publikationsmodell aus der Sicht der Wissenschaftler/innen selbst – sowie explorativ aus Sicht der Studierenden und der Bildungspraxis - ermittelt. Wesentliche Faktoren bei der Betrachtung der Potenziale und Effekte von Open Access im Fachgebiet bilden die Faktoren akademischer Status und Funktion, Interdisziplinarität und fachliche Provenienz sowie das Verhältnis von Bildungspraxis und akademischem Sektor. (DIPF/Orig.)

Seasonal changes of heat and moisture fluxes from the Caspian Sea surface and its effect on synoptic systems with heavy rainfalls in southern shores of the sea during 2005-2010

Caspian Sea with its unique characteristics is a significant source to supply required heat and moisture for passing weather systems over the north of Iran. Investigation of heat and moisture fluxes in the region and their effects on these systems that could lead to floods and major financial and human losses is essential in weather forecasting. Nowadays by improvement of numerical weather and climate prediction models and the increasing need to more accurate forecasting of heavy rainfall, the evaluation and verification of these models has been become much more important. In this study we have used the WRF model as a research-practical one with many valuable characteristics and flexibilities. In this research, the effects of heat and moisture fluxes of Caspian Sea on the synoptic and dynamical structure of 20 selective systems associated with heavy rainfall in the southern shores of Caspian Sea are investigated. These systems are selected based on the rainfall data gathered by three local stations named: Rasht, Babolsar and Gorgan in different seasons during a five-year period (2005-2010) with maximum amount of rainfall through the 24 hours of a day. In addition to synoptic analyses of these systems, the WRF model with and without surface flues was run using the two nested grids with the horizontal resolutions of 12 and 36 km. The results show that there are good consistencies between the predicted distribution of rainfall field, time of beginning and end of rainfall by the model and the observations. But the model underestimates the amounts of rainfall and the maximum difference with the observation is about 69%. Also, no significant changes in the results are seen when the domain and the resolution of computations are changed. The other noticeable point is that the systems are severely weakened by removing heat and moisture fluxes and thereby the amounts of large scale rainfall are decreased up to 77% and the convective rainfalls tend to zero.

WebQuest: Incidencia en el aprendizaje significativo para la educación superior

El presente artículo explora el uso de la WebQuest como metodología del Aprendizaje Basado en Proyectos Colaborativos en la formación de estudiantes de educación superior de la Escuela de Ingeniería Mecánica de la Escuela Superior Politécnica de Chimborazo (ESPOCH). Con esta finalidad se diseñó la WebQuest para ser aplicada con estudiantes entre 18 y 22 años en la asignatura de Programación. La investigación fue de tipo cognitivo-constructivista, descriptiva, de campo, transversal, aplicada, de ciencias básicas y bajo el paradigma científico, enmarcada bajo políticas y lineamientos del Plan Nacional del Buen Vivir 2013-2017. Mediante la utilización de herramientas colaborativas Google Drive y Google Sites, el test CHAEA para estilos de aprendizaje, herramientas ofimáticas y software especializado determinando así su incidencia en el aprendizaje significativo de los 54 estudiantes tomados como muestra. Se aplicaron dos técnicas estadísticas: t-Student para comprobar el rendimiento académico, comportamiento y estilos de aprendizaje. Con 5% de error y un punto crítico de 2,055 a dos colas, se obtuvieron valores de: 4,382, 2,434 y 3,701 respectivamente. La técnica Chi-cuadrado se aplicó para comprobar las habilidades del siglo XXI, con un punto crítico de 40,1, se generó el valor calculado de 119,84, demostrando que la metodología WebQuest favorece la generación de aprendizajes significativos dentro y fuera del aula de clase.