Journal Guide

Aims and Scope

The Journal of Responsible Innovation ( JRI) provides a forum for discussions of the normative assessment and governance of knowledge-based innovation. JRI offers humanists, social scientists, policy analysts and legal scholars, and natural scientists and engineers an opportunity to articulate, strengthen, and critique the relations among approaches to responsible innovation, thus giving further shape to a newly emerging community of research and practice.  These approaches include ethics, technology assessment, governance, sustainability, socio-technical integration, and others. JRI intends responsible innovation to be inclusive of such terms as responsible development and sustainable development, and the journal invites comparisons and contrasts among such concepts. While issues of risk and environmental health and safety are relevant, JRI especially encourages attention to the assessment of the broader and more subtle human and social dimensions of innovation—including moral, cultural, political, and religious dimensions, social risk, and sustainability addressed in a systemic fashion.

JRI invites three kinds of written contributions: research articles of 6,000 to 10,000 words in length, inclusive of notes and references, that communicate original theoretical or empirical investigations; perspectives of approximately 2,000 words in length that communicate opinions, summaries, or reviews of timely issues, publications, cultural or social events, or other activities; and pedagogy, communicating in appropriate length experience in or studies of teaching, training, and learning related to responsible innovation in formal (e.g., classroom) and informal (e.g., museum) environments.

The Journal of Scheduling provides a global forum for the publication of all forms of scheduling research. It is the only peer reviewed journal with broad coverage of the techniques and applications of scheduling that spans several distinct disciplines. Readers facing complex scheduling problems can turn to the journal to find the latest advances in the field. Each issue features new and novel techniques, applications, theoretical issues, and innovative approaches to problems. The journal is designed to assist readers in computer science, discrete mathematics, operational research, engineering, management, artificial intelligence, construction, distribution, manufacturing, transportation, aerospace, and retail and service industries.Officially cited as: J Sched

The Journal of Sport Management encourages the submission of manuscripts in a number of areas as they relate to the management, governance, and consumption of sport such as: organizational theory, behavior, and strategy; sport operations; law and policy; economics, finance, and accounting; marketing, consumer behavior, sponsorship, advertising, and licensing; media, communications, and public relations; sport tourism; facility and event management; and gender and diversity. Studies using quantitative and/or qualitative approaches are welcomed.The Journal of Sport Management publishes research and scholarly review articles; short reports on replications, test development, and data reanalysis (Research Notes); editorials that focus on significant issues pertaining to sport management (Sport Management Perspectives); articles aimed at strengthening the link between sport management theory and sport management practice (From the Field); journal abstracts (Sport Management Digest); book reviews (Off the Press); and news items of interest to professionals in sport management (Management Memos).

Journal of Statistical Computation and Simulation publishes significant and original work in areas of statistics which are related to or dependent upon the computer.Fields covered include computer algorithms related to probability or statistics, studies in statistical inference by means of simulation techniques, and implementation of interactive statistical systems.2009 5-year Impact Factor: 0.517169; 2010 Thomson Reuters, 2009 Journal Citation Reports174; All published research articles in this journal have undergone rigorous peer review, based on initial editor screening and anonymous refereeing by independent expert referees.DisclaimerTaylor & Francis makes every effort to ensure the accuracy of all the information (the 8220;Content8221;) contained in its publications. However, Taylor & Francis and its agents and licensors make no representations or warranties whatsoever as to the accuracy, completeness or suitability for any purpose of the Content and disclaim all such representations and warranties whether express or implied to the maximum extent permitted by law. Any views expressed in this publication are the views of the authors and are not the views of Taylor & Francis.

Journal of Statistical Mechanics: Theory and Experiment (JSTAT) covers all aspects of statistical physics, including experimental work that impacts on the subject.

The Journal of Statistical Planning and Inference offers itself as a multifaceted and all-inclusive bridge between classical aspects of statistics and probability, and the emerging interdisciplinary aspects that have a potential of revolutionizing the subject. While we maintain our traditional strength in statistical inference, design, classical probability, and large sample methods, we also have a far more inclusive and broadened scope to keep up with the new problems that confront us as statisticians, mathematicians, and scientists.We publish high quality articles in all branches of statistics, probability, discrete mathematics, machine learning, and bioinformatics. We also especially welcome well written and up to date review articles on fundamental themes of statistics, probability, machine learning, and general biostatistics. Thoughtful letters to the editors, interesting problems in need of a solution, and short notes carrying an element of elegance or beauty are equally welcome.We want to serve as the broadest international platform for high quality research on every aspect of our field, traditional and cutting edge. The quality and the breadth of our editorial board reflects that singular priority.

Since 1960, IUPAC has made available to chemists everywhere a large amount of important chemical information published in the journal .

This multidisciplinary journal publishes high-quality, original papers in all areas of probability theory, including probability on semigroups, groups, vector spaces, other abstract structures, and random matrices. Journal of Theoretical Probability provides mathematicians and researchers in physics, engineering, statistics, and computer science with a peer-reviewed forum for the exchange of vital ideas in the field of theoretical probability.

During the last 30 years Time Series Analysis has become one of the most important and widely used branches of Mathematical Statistics. Its fields of application range from neurophysiology to astrophysics and it covers such well-known areas as economic forecasting, study of biological data, control systems, signal processing and communications and vibrations engineering. The Journal of Time Series Analysis started in 1980, has since become the leading journal in its field, publishing papers on both fundamental theory and applications, as well as short communications on theoretical developments. The editorial board consists of many of the world's leading experts in Time Series Analysis.

The events of 9/11 and beyond have compelled stakeholders to look at transport security as much more than merely another element of the global networks that move people and goods. An activity that was previously viewed as a routine component of modern transportation is now seen as both a vital necesity and a national priority. Across a wide spectrum, transportation security is playing a leading role in determining how both the present and future will look. Remarkably, no single clearinghouse of research and analysis on this important topic has arisen. Transportation security lies at the core of many important areas of study, including supply chain and logistics: information technology: public policy: international business: political science: engineering: transportation: economics: and counterterrorism, among others. This journal will be the first to take a global, apolitical, and in-depth multidisciplinary look at the field. The mission of the journal will be to disseminate new research, thought, and analysis for teachers, researchers, policy makers and practitioners around the world who view transportation security as a critical element in the post 9/11 world.Officially cited as: J Transp Secur

The Journal of the American Statistical Association, published quarterly, has long been considered the premier journal of statistical science. Established in 1888, JASA focuses on statistical applications, theory, and methods in economic, social, physical, engineering, and health sciences. Important books contributing to statistical advancement also are reviewed.

* Real applications of OR - forecasting, inventory, investment, location, logistics, maintenance, marketing, packing, purchasing, production, project management, reliability and scheduling * A wide variety of environments - community OR, education, energy, finance, government, health services, manufacturing industries, mining, sports, and transportation * Technical approaches - decision support systems, expert systems, heuristics, networks, mathematical programming, multicriteria decision methods, problems structuring methods, queues, and simulation.

The Journal of the Royal Statistical Society, Series C (Applied Statistics), promotes papers that are focused on statistical methods for real life problems. Applications should be central to papers, rather than illustrative, to motivate the work and to justify any methodological developments. All papers should feature an adequate description of a substantial application and a justification for any new theory. Case-studies may be particularly appropriate and should include some contextual details, though there should also be a novel statistical contribution, for instance by adapting or developing methodology, or by demonstrating the proper application of new or existing statistical methods to solve challenging applied problems. Papers describing interdisciplinary work are especially welcome, as are those that give interesting novel applications of existing methodology or provide new insights into the practical application of methods, and papers explaining innovative analysis of generic applied problems but not necessarily focused on a particular application also have a place in Series C. Short communications may also be appropriate. Methodological papers that are not motivated by a genuine application are not acceptable; nor are papers that include only brief numerical illustrations or that mainly describe simulation studies of properties of statistical techniques. However, papers describing developments in statistical computing are encouraged, provided that they are driven by practical examples. Extended algebraic treatment should be avoided.

The Journal of the Royal Statistical Society, Series B (Statistical Methodology), aims to publish high quality papers on the methodological aspects of statistics. The objective of papers should be to contribute to the understanding of statistical methodology and/or to develop and improve statistical methods; any mathematical theory should be directed towards these aims. The kinds of contribution considered include descriptions of new methods of collecting or analysing data, with the underlying theory, an indication of the scope of application and preferably a real example. Also considered are comparisons, critical evaluations and new applications of existing methods, contributions to probability theory which have a clear practical bearing (including the formulation and analysis of stochastic models), statistical computation or simulation where original methodology is involved and original contributions to the foundations of statistical science. Reviews of methodological techniques are also considered. A paper, even if correct and well presented, is likely to be rejected if it only presents straightforward special cases of previously published work, if it is of mathematical interest only, if it is too long in relation to the importance of the new material that it contains or if it is dominated by computations or simulations of a routine nature. Discussion papers.

The aim of Series A is to publish papers that demonstrate how statistical thinking, design and analyses play a vital role in all walks of life and benefit society in general. There is no restriction on subject-matter: any interesting, topical and revelatory applications of statistics are welcome. For example, important applications of statistical methods in medicine, business and commerce, industry, economics and finance, education and teaching, physical and biomedical sciences, the environment, the law, government and politics, demography, psychology, sociology and sport all fall within the journal's remit. The journal is therefore aimed at a wide statistical audience and at professional statisticians in particular. Its emphasis is on well-written and clearly reasoned quantitative approaches to problems in the real world rather than the exposition of technical detail. Thus, although the methodological basis of papers must be sound and adequately explained, methodology per se should not be the main focus of a Series A paper. Of particular interest are papers on topical or contentious statistical issues, papers which give reviews or exposes of current statistical concerns and papers which demonstrate how appropriate statistical thinking has contributed to our understanding of important substantive questions. Historical, professional and biographical contributions are also welcome as are discussions of methods of data collection and of ethical issues, provided that all such papers have substantial statistical relevance. Discussion papers.