Information Science calls for papers / publications

Call for Papers for a Special Issue of Photogrammetric Engineering & Remote Sensing (PE&RS): Geospatial Responses to Disasters: A Holistic Approach (Web-based GIS/Mobile Devices)

Guest Editors
Dr. Maria Antonia Brovelli, Politecnico di Milano
Dr. Piero Boccardo, Politecnico di Torino
Mr. David Alvarez, Fluor-B&W Portsmouth

The Internet is a valuable tool for communication and data dissemination. It provides an easy way to bring people together with common interests to exchange knowledge, ideas and technology regardless of their geographical location. In its role as an effective tool for communication, it can be invaluable for disaster management yet it has been underutilized. Access to spatial data, as well as advanced mapping and spatial analysis over the Internet, is critical for all stages of disaster management including preparedness, response and recovery.

Effective disaster management requires integration and distribution of historical, preplanned, and real-time information from various sources. This information must be reliable, accurate and understandable in the fastest time possible to carry out the required activities. It is in these situations where Geo-enabled web services and mobile GIS can be used to plan for, respond to and recover from emergency situations by providing responders with the most accurate information when it is most needed and with the ability to be updated consistently. In other words, Geo-enabled web services plus the mobile GIS give emergency management professionals the ability to assemble large amounts of public information about their community to analyze and use the information in a intelligent and efficient manner. This will also allow the personnel, on the ground, to collect, maintain and store vital information related to infrastructure, cadastre, street networks and land use; all of which make the response to the disaster more cohesive.

The exploitation of web services and mobile GIS can significantly increase the usage and accessibility of spatial data, which is a key requirement before, during and after any disaster. Also, recent growth and advancements of various technologies has helped mobile GIS enabled users to decrease task redundancy and keep their data current. Utilizing mobile GIS and web services is both a way to increase speed and accuracy of communication and data flow during disasters.

This Special Issue will solicit articles on the following topics:

• Web based multidimensional GIS for disaster management
• Data interoperability for disaster management
• Web-based geospatial disaster response
• Crisis mapping
• Crowd sourcing data collection before, during and after disasters
• Workflow to increase real-time accessibility of data
• Data standardization, organizational and legal aspects of sharing remote sensing information.
• Workflow to convert data into usable information.

Authors must prepare manuscripts according to the PE&RS Instructions to Authors, published in each issue of PE&RS and also available on the ASPRS web site at http:/www.asprs.org/pers/AuthorInstructions. All submissions will be peer-reviewed in accordance with PE&RS policy. Because of page limits, not all submissions recommended for acceptance by the review panel may be included in the Special Issue. Under this circumstance, the guest editors will select the most relevant papers for inclusion in the Special Issue. Papers that are reviewed favorably, but will not fit within the Special Issue, can be revised and submitted for review as a new paper to the PE&RS Editor-in-Chief for possible publication in a future regular issue of PE&RS. .

Please e-mail your manuscript directly to: David Alvarez, Email: davidalvarez76@gmail.com, Phone: (971) 225-0039

Important Dates:

Manuscripts Due: 11/01/12

Decision to Authors: 02/01/13

Final Papers Due: 03/01/13

Publication: 10/01/13

Call for Papers for a Special Issue of the International Journal of Biomedical Engineering and Technology: Using Technology to Facilitate Chronic Disease Management

Guest Editors:
Khin Than Win, University of Wollongong, Australia
Nilmini Wickramasinghe, RMIT University, Australia

Chronic disease continues to be one of the leading causes of death and economic loss in most countries today. Hence, it has become a central problem for healthcare and many are looking for solutions.

Early detection and prevention of chronic disease is one of the preferred strategies for reducing the incidence of chronic disease and address escalating cost issues. It has been widely documented that assisting chronic disease management through information technology tends to facilitate better health outcomes. We are therefore seeing several health IT projects being initiated and successfully supporting chronic disease management.

This special issue aims to host a discussion and discourse on the possible applications of IS/IT (information systems/information technology) to facilitate better chronic disease management.

Subject Coverage

Suitable topics include but are not limited to:

Facilitating standardisation via including care plans and guidelines for health information systems and developing decision support systems for assisting healthcare providers' decision making

Technology for delivery of care, e.g. artificial pancreases, implants, telemedicine, radiology, smart devices such as insulin pumps and implants

Electronic health records; health information systems; computerised guidelines; prevention; patient education; care and assistance for elderly people; lifestyle modifications such as physical activities, nutrition, weight management and mental health

Design and development of portals, communication platforms and/or the role of online social networks

Applications for mobile solutions to facilitate monitoring and/or management

Specific technology solutions to address better monitoring and management of asthma, diabetes, congenital heart disease, arthritis, chronic pain and obesity

Notes for Prospective Authors

Submitted papers should not have been previously published nor be currently under consideration for publication elsewhere. (N.B. Conference papers may only be submitted if the paper was not originally copyrighted and if it has been completely re-written).

All papers are refereed through a peer review process. A guide for authors, sample copies and other relevant information for submitting papers are available on the Author Guidelines page.

Important Dates

Papers due: 20 October, 2012

Review results: 31 January, 2013

Final paper due: 20 April 2013

Editors and Notes

You may send one copy in the form of an MS Word or PDF file attached to an email (details in Author Guidelines) to the following:

Dr. Khin Than Win
University of Wollongong
Faculty of Informatics
Northfields Avenue
Wollongong, NSW 2522
Australia
Email: win@uow.edu.au

Prof. Nilmini Wickramasinghe
Epworth Chair Health Information Management
RMIT University
College of Business
GPO Box 2476
Melbourne, VIC 3001
Australia
E-mail: nilmini.wickramasinghe@rmit.edu.au

Please include in your submission the title of the Special Issue, the title of the Journal and the names of the Guest Editors

Call for Papers for a Special Issue of Cognitive Technology Journal: Designing Educational Games

The use of computer games as common vehicles for impacting cognition, as opposed to pure entertainment, has recently gained immense popularity. Games may be developed to educate children about their health condition or to improve their understanding of math or history, examine economic policies, encourage the discussion of public health policy for individuals, or to encourage change in user's lifestyle. The proliferation of games has profound implications not only for the entertainment industry, but also for the research community interested in studying the impact of using such games on cognitive abilities of the users.

In this Special Issue, Cognitive Technology will bring together researchers from across the world to consider new research that illustrates the potential of computer games as a cognitive technology for teaching and learning. Guest editors, Dr. Nilufar Baghaei and Dr. Aaron Chen, are seeking original research papers that illustrate the capacity or potential of games for enhancing the users' learning experience and increasing their knowledge of any domain ranging from health-related issues to math and languages.

Topics of Interest

The international journal of Cognitive Technology is planning a special issue on designing educational games (expected publication Spring 2013). Authors are invited to submit papers describing original research (applied or theoretical), that deal with innovative approaches of using game technologies as cognitive tools for increasing the learning outcome of the users and/or enhancing their learning experience.

We invite papers that address one of the following topics, or a closely related one:

Educational games as a cognitive technology for learning

Designing educational games for people with disabilities and/or health conditions

Integrating games with health care applications

Intelligent Tutoring Systems and adaptive educational games

Designing, developing and evaluating educational games on mobile devices

Understanding the problems and limitations of using games as cognitive technologies

Best practices for designing educational games based on cognitive science

Empirical or case studies of increasing users' motivation for learning using educational games

Empirical studies of educational games and their effectiveness in increasing users' domain knowledge

Empirical or case studies of perceptual and cognitive advantages and disadvantages of educational games

Future directions of designing, developing and deploying educational games in instructional settings

Submission and Format

Research papers submitted for this journal should be original and must not exceed 15 double-spaced manuscript pages inclusive of title page, abstract page, references, figures, tables, and appendices. The papers should be submitted to Dr. Baghaei or Dr. Chen via email. They should be prepared in line with the formatting guidelines of Cognitive Technology Journal. Additional details about final manuscript format requirements will be sent upon notification of acceptance.

For queries regarding the special issue, the guest editors can be contacted at: nbaghaei@unitec.ac.nz or achen2@unitec.ac.nz
Important Dates

August 24, 2012: Paper submission deadline
September 28, 2012: Peer reviews completed
October 26, 2012: Re-submission of revised papers
November 23, 2012: Submission of camera ready versions
Spring 2013: Journal publication

Guest Editors

Dr. Nilufar Baghaei, Dept of Computing, UNITEC, New Zealand
Dr. Aaron Chen, Dept of Computing, UNITEC, New Zealand
Dr. Paul Pivec, CranberryBlue R&D (UK/NZ) Ltd, New Zealand

Call for Papers for a Special Section of Translational Behavioral Medicine: Practice, Policy, Research: Smartphones, Sensors, and Social Networks: A New Age of Health Behavior Change

Submission Deadline November 30, 2012

For submission information: http://www.springer.com/medicine/journal/13142

Traditional health behavior change interventions have long been limited by high expense, patient burden, and poor adherence. As health professionals, our access to intervene upon patients’ behavior is constrained by current models of health care which limit care provision to face-to-face visits provided on a weekly schedule or less frequently. Limited access to patients limits our ability to gain an accurate understanding of the antecedents and consequences of behavior, and to intervene in the moments when patients most need help. Computing technology including mobile phones, sensors, and online social networks – by being available in real time – are being explored as ways to enhance our ability to understand health behavior and more effectively intervene upon it. mHealth, the application of mobile technology to health, has reached its tipping point. A rapidly growing body of research evidence demonstrates the efficacy of mHealth approaches across a wide range of conditions, populations, and settings. mHealth has also attracted a parallel explosion of industry attention. An extremely diverse group of companies are capitalizing on the mHealth market, which is projected to reach $23 billion in revenues by 2017. Sensing technologies are also rapidly being developed to gather behavioral, physiological, and contextual data that can then be used to predict behavior or deliver “just-in-time” interventions. Finally, online social networking, a service that allows individuals to interact and communicate with other users without geographical, physical, or logistical barriers has now been used for health surveillance, disseminating information and innovations, and health behavior intervention. The potential of these technologies to impact health behavior change has yet to be fully realized. The purpose of this special issue is to draw papers from academicians, clinicians, and industry professionals who are developing, testing, and/or researching the efficacy of these technologies for health behavior change.

Given that opportunities for academic-industry communication and collaboration have been too infrequent, we have seen relatively limited translation of evidence-based mHealth approaches into the real-world settings that are largely served by industry. We suspect that collaboration between industry and the research community might accelerate the growth of the mHealth market and improve the health of patients and populations. There are important barriers to such collaborations which we hope are explored and discussed further in this special issue. We hope to attract high quality contributions relating to the opportunities and challenges associated with stimulating academic-industry partnerships and creating evidence-based technology-based approaches to health behavior change. We acknowledge differences in the type of data that is collected by academics and industry professionals and aim to be a forum for both types of data, while acknowledging the strengths and limitations of each. Traditional research reports are sought, but also case studies characterizing real world translation efforts, implementation challenges, and academic-industry partnerships are strongly encouraged. Additionally, synopses of practical tools and strategies, applications, and approaches are of interest. Selected manuscripts will be published together with commentaries in this special section of Translational Behavioral Medicine.

Editors of the Special Section:
Sherry Pagoto, PhD, University of Massachusetts Medical School
Gary Bennett, PhD, Duke University

Editor-in-Chief:
Bonnie Spring, PhD, Northwestern University

Call for Papers for a Special Issue of the Journal of Web Semantics: Data Linking

This special issue of the Journal of Web Semantics focuses on the problem of finding links between datasets published as linked data.

Today the web of data has become a reality. The ever increasing number of datasets published as RDF according to the linked data principles, the support of major search engines, e-commerce sites and social networks give no doubt that the early scenarios of the semantic Web vision will soon become a reality.

The power of the web lies in its networked structure, in the connections between the resources it contains. Similarly, linked data enable the interlinking of data resources so that databases become interconnected and the information they contain become part of a huge distributed database. The transformation of the Web from a “Web of documents” into a “Web of data”, as well as the availability of large collections of sensor generated data (“internet of things”), is leading to a new generation of Web applications based on the integration of both data and services. At the same time, new data are published every day out of user generated contents and public Web sites.

This emergence of the Web of data raises many challenges, such as the need of comparing and matching data with the goal of resolving the multiplicity of data references to the same real-world objects and of finding useful and relevant similarities and correspondences among data. The Web needs techniques and tools for the discovery of data links, and a suitable theory for the understanding and definition of the data links meaning.

About data links, one of the most important goals is to provide means to ensure that the interconnection between data is effective. The design of algorithms, methodologies, languages and tools that provide more efficient and automated ways to link data is essential for the growth of the Web of data rather than a set of disjoint data islands.

While the problems of entity resolution have been studied in the database community for a long time, the Web of data environment presents new important challenges at different levels. Large volumes of data and the variety of repositories which have to be processed rise the need for scalable linking techniques which require minimal user involvement. On the other hand, in cases where user configuration effort is required, there is a need for tools to be usable by non-experts in the domain.

Given that published data links can be used by automatic reasoning tools, it is important to capture the meaning of links in a precise way. Since quality of automatically generated links can vary, their provenance and reliability have to be modelled in an explicit way. Finally, to capture and compare the reliability of different tools and techniques, there is a need for evaluation methods for automatic data linking approaches.

Challenges

• Automating the process of finding links between Web datasets
• Scaling data linking algorithms
• Representation and interpretation of links
• Providing efficient user interfaces and interaction methods
• Modeling and reasoning on links trust and provenance information

Topics of Interest

The topics of interest for this special issue include but are not limited to the following.

• data linking tools and frameworks
• techniques for automated data linking
• data similarity measures
• similarity spreading measures
• schema-based similarity measures
• candidate dataset selection and datasets similarity measures
• statistical analysis techniques
• semi-supervised, learning-based data linking methods
• optimization methods for computing similarity
• web data sampling techniques
• identity representation and semantics
• reasoning on links, link propagation
• user interaction for link elicitation and validation
• provenance and trust models on links
• methods for link quality assessment
• innovative applications using links
• evaluation of data linking techniques and tools

Important Dates

We will review papers on a rolling basis as they are submitted and explicitly encourage submissions well before the final deadline.

• 1 June: submission deadline
• 1 September: initial decisions and notifications
• 1 October: major/minor revisions due
• 1 November: final minor revisions due
• 1 December: final decisions and notifications
• 1 January: preprints available publication in 2013

Instructions for submission

Please see the author guidelines for detailed instructions before you submit. Submissions should be conducted through Elsevier’s Electronic Submission System. More details on the Journal of Web Semantics can be found on its homepage. See the JWS Guide for Authors for details on the submission process.

Editors

• Alfio Ferrara (Università degli Studi di Milano)
• Andriy Nikolov (Open University)
• François Scharffe (LIRMM, Université de Montpellier 2)

Call for Papers for a Special Issue of the Semantic Web Journal: Big Data and the Semantic Web

The Semantic Web journal calls for innovative and high-quality papers describing the role of Semantic Web technologies, Linked Data, and ontologies for the Big Data age. Papers should clearly relate to one or more of the Big Data V's Volume, Variety, and Velocity, as well as demonstrate the added value of semantics. Besides theoretical contributions on reasoning over massive amounts of heterogeneous data and challenges for knowledge representation and interlinkage, we especially also invite reports from domain scientists detailing the use of ontologies and Semantic Web technologies in bioinformatics, geographic information science, life sciences, cultural heritage research, the digital humanities, and other research areas.

We welcome all paper categories, i.e., full research papers, application reports, systems and tools, ontology papers, surveys, as well as dataset reports as long as they clearly relate to challenges and opportunities arising from processing Big Data - see our listing of paper types in the author guidelines http://www.semantic-web-journal.net/authors

Topics include but are not limited to

Semantic search and information seeking
Exploratory interfaces for massive amounts of annotated data
Intelligent information interchange
Semantic interoperability and heterogeneity
Inductive and abductive approaches to ontology learning
Handling uncertainty, vagueness, and inconsistencies
Knowledge discovery from linked data
Collaborative Ontology engineering
Microtheories and knowledge patterns
Ontology modularization
Ontology evolution
Ontology alignment, matching, and translation
Analogy and similarity reasoning and retrieval
Sensor semantics and smart dust
Stream reasoning
Distributed reasoning
Semantics-based data aggregation and generalization
Semantically enabled statistics
Massive data integration for the digital earth
Linked science
The User as knowledge engineer
Semantics and decision support systems
Semantics-driven integrity constraint checking
Mining the Social and Mobile Web
Ontology-driven data visualization
Trust and privacy issues in publishing and reasoning about Big Data
Dialog and question answering systems based on Linked Data and ontologies

Important Dates
Manuscript submission due: 30th of June 2012
First notification: 7th of September 2012
Issue publication: Spring 2013

Submissions
The special issue on Big Data and the Semantic Web calls for original high-quality research on any of the above mentioned topics. Authors are requested to follow the author guidelines, submit online as detailed in the author guidelines, and include the name of the call within the submission letter. All manuscripts will be reviewed based on the SWJ open and transparent review policy and will be made available during online the review process.

Call for Papers for a Special Issue of the International Journal of Ad Hoc and Ubiquitous Computing: BikeNet: Theory, Technology and Application

Guest Editors:
Prof. Kun Ming Yu and Prof. James Chang Wu Yu, Chung Hua University, Taiwan
Dr. Lei Shu, Osaka University, Japan

BikeNet is a mobile sensing system for cyclists which uses a number of sensors embedded into a cyclist’s bicycle to collect quantitative data about the cyclist’s rides. Researchers need to design practical distributed and centralised algorithms and to introduce novel theoretical models or evaluation methodologies to address various kinds of research problems originating from BikeNet.

Although there are a large number of developed network protocols for wireless sensor networks and ad hoc networks, the unique characteristics of BikeNet – such as limited bandwidth capacity, small size and high mobility – lead to considerable challenges in their design.

The special issue is intended to disseminate high-quality research in BikeNet, and to push theoretical and practical research forward for a deeper understanding of the fundamental algorithms, modelling, and analysis techniques for BikeNet. Authors are invited to submit papers presenting new research related to the theory or practice of BikeNet, including algorithms, modelling, technology and application. All submissions must describe original research, and must not be published or currently under review for another workshop, conference or journal.

The issue will carry revised and substantially extended versions of selected papers presented at the Workshop on Performance Evaluation of Wireless Networks (PEWiN-2012; http://people.chu.edu.tw/~pewin/2012)), but we also strongly encourage researchers unable to participate in the workshop to submit papers for this call.

Subject Coverage

Suitable topics include but are not limited to:

Algorithms, theory and applications for BikeNet, including mobile ad hoc networks, wireless sensor networks, and any kind of multi-hop wireless networks used in BikeNet
Theoretical graph and geometric models for BikeNet
Complexity analysis of algorithms for BikeNet environments
Routing algorithms and strategies in BikeNet
Power optimisation strategies in BikeNet
Throughput, capacity, and delay analysis in BikeNet
Data and resource management in BikeNet
Clustering and cooperative strategies in BikeNet
Coverage and survivability problems in BikeNet
Information theory and network coding for BikeNet
Security, privacy and cryptographic protocols theory for BikeNet

Notes for Prospective Authors

Submitted papers should not have been previously published nor be currently under consideration for publication elsewhere. (N.B. Conference papers may only be submitted if the paper was not originally copyrighted and if it has been completely re-written).

All papers are refereed through a peer review process. A guide for authors, sample copies and other relevant information for submitting papers are available on the Author Guidelines page.

Important Dates
Deadline for submission: 31 October, 2012

Acceptance notification (1st round): 31 April, 2013

Revision submission: 31 June, 2013

Final notification of acceptance: 31 August, 2013

Editors and Notes

All papers must be submitted online. If you experience any problems submitting your paper online, please contact submissions@inderscience.com, describing the exact problem you experience. (Please include in your email the title of the Special Issue, the title of the Journal and the names of the Guest Editors).

Please contact Prof. James Chang Wu Yu (cwyu@chu.edu.tw), Prof. Kun Ming Yu (yu@chu.edu.tw) or Dr. Lei Shu (lei.shu@ist.osaka-u.ac.jp) with any queries concerning this special issue.

Call for Papers for a Special Issue of Artificial Intelligence in Medicine:Evaluation of Clinical Decision Support Systems (CDSS) in Health Care

Guest Editors:
Elske Ammenwerth, UMIT, Hall in Tirol, Austria
Nicolette de Keizer, University of Amsterdam, Dept Medical Informatics, The Netherlands
Michael Rigby, Keele University, U.K.
Pirkko Nykänen, Tampere University

Clinical Decision Support Systems (CDSS) in Health Care have a long history going back to the 1970s, with recent reviews showing that their number and uptake increases. CDSS can support many different activities such as diagnosis, therapy, monitoring or prevention and are used in all kinds of medical domains such as chronic illness, acute care, primary care, and patient advice lines. CDSS may provide many different services such as access to knowledge, statistical calculations and individual adaptations, recommendations, reminders or alerts to different user groups including physicians and nurses but also addressing self-management by patients. In some areas, CDSS have been found to increase clinical performance and guidelines adherence, while evidence on improvement of patient outcome is still limited. There are even examples of negative impact. Overall, the number of published CDSS evaluation studies is still limited given their` rising uptake, and the evaluation design and/or reporting of the evaluation studies is often weak, which makes judgment of their cost-benefit ratio difficult.

The momentum surrounding CDSS is even more increasing with the more widespread implementation of electronic patient records enabling CDSS implementation; however health care providers and organizations and development agencies require more intensive evaluation and research for better informed investments, to ensure patient safety, and to recognize clinician anxieties as to their professional liability. Evidence from early CDSS deployments should be informing and guiding subsequent projects to ensure that ineffective approaches are not duplicated and early successes can be replicated and scaled. Building up such an evidence base requires reproducible and well designed evaluation studies of CDSS. Guidelines for evaluation of health informatics interventions in general and their reporting are available although these need to be adapted and extended for the specific case of CDSS evaluation. Also the updated EU Medical Device Directive now defines "medical” software a medical device. This has implications for the way CDSS are developed and evaluated. Safety for patients, users and others is a key aspect of the evaluation of CDSS in the context of the Medical Device Directive.

As with any aspect of healthcare, policies and practice should be firmly based on evidence, and informatics should be no exception. Evaluation of systems is a robust source of such evidence, provided the evaluation is scientific. Whilst generic guidelines now exist for health informatics systems evaluation, application within CDSS is limited, not least because of the methodological issues arising, especially for pilot studies preceding wider general roll-out. In particular, user populations may be dispersed and hard to reach, user profiles and patterns of use are important factors and patient (and organizational) outcomes are hard to track. This special issue will give opportunity to focus on these challenges.

Topics for the special issue
We are inviting people from health care, academia and industry to submit original articles or systematic reviews relevant to the following topics:

Case studies on evaluation of CDSS
Meta analyses or systematic reviews on CDSS
Methodology of CDSS evaluation
Verification, Validiation and testing of CDSS
Impact of CDSS
Costs of CDSS
CDSS and patient safety
Barriers and challenges to CDSS implementation and evaluation
User acceptance and usability of CDSS
Adoption of CDSS in health care environments
Issue of "brittleness” of CDSS
Quality indicators for CDSS
Certification of CDSS
Future of CDSS evaluation

Deadline of submissions:
Deadline for the submission of manuscripts is June 30th, 2012.

We advise all authors interested to contribute to this special issue to contact Elske Ammenwerth beforehand (contact data see below) to indicate the topic of the planned manuscript.

Instruction for authors:
Please consult the Guide for Authors of AIIM available at the journal homepage at: http://ees.elsevier.com/aiim/

The length of manuscripts should not exceed 20 – 25 manuscript pages (1.5-spaced lines).

When submitting the paper, please use the Electronic Manuscript Submission at http://ees.elsevier.com/aiim/

Clearly indicate that it is a submission to the special issue by adding "Special Issue: CDSS Evaluation” to the title of the manuscript.

All papers are refereed through an international peer review process by at least three reviewers.

Artificial Intelligence in Medicine carries no page charges.

The corresponding author, at no cost, will be provided with a PDF file of the article via e-mail or, alternatively, 25 free paper offprints. See instructions for authors for details.

Contact:
Univ.-Prof. Dr. Elske Ammenwerth
Eduard Wallnöfer Zentrum 1
UMIT – University for Health Sciences, Medical Informatics and Technology
Institute of Medical Informatics
6060 Hall in Tyrol
Austria
Mail elske.ammenwerth@umit.athttp://iig.umit.at

Call for Papers for a Special Issue of Future Generation Computer Systems: Extreme Scale Parallel Architectures and Systems

This special issue invites submissions from researchers working on Experimental Infrastructures for Exascale Research and Development. Work in this area includes investigation of experimental components and systems for extreme-scale, simulation methods and tools targeting extreme scale, benchmarking, application characterisation workload generation tools, and other related experimental systems and methods.

Submissions are encouraged on disruptive approaches to address the challenges of research and development for systems that do not exist as-of-yet. Another aspect of equal importance is the creation of a palette of scientific methods and experimental infrastructures (in software and/or hardware) to evaluate novel ideas (technologies, algorithms, systems). Some of the pressing issues that need to be addressed in this context are scalability of experiments, validation/extrapolation of scientific results, and characterization of expected workloads and their synthetic generation. Given the high cost of ownership and the limited access to the top-end of parallel systems, it is important to pursue experimental architectures and systems comprising of off-the-shelf components, configured, modified, or enhanced in such a way that they can provide insight into aspects of exascale systems.

Topics

Topics of interest include, but are not limited to:

Testbed design and evaluation
Experimental clusters/systems targeting extreme scale
Workload generation and benchmarking
Exascale application characterisation
Analytical modelling and simulation of systems
Techniques for extrapolation of experimental results to extreme-scale
Validation of projection/extrapolation techniques
Suitability/adaptability of commercial, off-the-shelf components (COTS)
Cost, energy, performance and resilience
Methodologies and tools
Co-design approaches

Important Dates

Full paper submission deadline: 29 June 2012
Review results and notification of acceptance: 31 August 2012
Final revised paper: 31 October 2012
Publication: February 2013

Guest Editors

Shoukat Ali, Exascale Systems, IBM Research, Ireland (ALISHOU8@ie.ibm.com)
Kostas Katrinis, Exascale Systems, IBM Research, Ireland (katrinisk@ie.ibm.com)
Rolf Riesen, Exascale Systems, IBM Research, Ireland (rolf.riesen@ie.ibm.com)
Georgios Theodoropoulos, Exascale Systems, IBM Research, Ireland (geortheo@ie.ibm.com)

Submission Format

Submissions must be written in English. Papers must contain novel ideas and must differ significantly in content from previously published papers and papers under simultaneous submission. Authors should prepare and submit manuscripts according to the Guide for Authors in the following link: http://www.elsevier.com/wps/find/journaldescription.cws_home/505611/authorinstructions

If you have any questions about paper submission or the special issue, please contact one of the Guest Editors.

Call for Papers: Journal of eScience Librarianship

The Journal of eScience Librarianship (JESLIB) is an open access, peer-reviewed journal that advances the theory and practice of librarianship with a special focus on services related to data-driven research in the physical, biological, and medical sciences. The journal explores the many roles of librarians in supporting eScience and welcomes articles related to education, outreach, collaborations, and current practices, by contributors from all areas of the globe. Articles covering both the theoretical and practical applications are welcomed. JESLIB also provides special features in each issue which include book reviews on subjects of interest to librarians supporting eScience and information on new technologies.

Contact Us

Editor

Elaine Martin, University of Massachusetts Medical School
Elaine.Martin@umassmed.edu

Associate Editor

Mary Piorun, University of Massachusetts Medical School
Mary.Piorun@umassmed.edu

Managing Editor

Raquel Abad, University of Massachusetts Medical School
Raquel.Abad@umassmed.edu

Technical Editor

Lisa Palmer, University of Massachusetts Medical School
Lisa.Palmer@umassmed.edu