Cfp January 2016

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Fwd: [AISWorld] AMCIS 2016 CFP: Social Media in the Public Sector: Challenges and Opportunities
by Gustaf Neumann 11 Jan '16

11 Jan '16

-------- Weitergeleitete Nachricht -------- Betreff: [AISWorld] AMCIS 2016 CFP: Social Media in the Public Sector: Challenges and Opportunities Datum: Mon, 11 Jan 2016 18:06:26 +0000 Von: Sankar Sivarajah <Sankar.Sivarajah(a)brunel.ac.uk> An: aisworld(a)lists.aisnet.org <aisworld(a)lists.aisnet.org> Americas Conference on Information Systems (AMCIS), San Diego, August 11-13, 2016, http://amcis2016.aisnet.org/ Mini-Track: Social Media in the Public Sector: Challenges and Opportunities Track Title: E-Government Call for Papers: With citizens having turned more tech- and internet-savvy, they have had the chance to successfully experience efficient digital services, particularly in the private sector. This has resulted in the citizens expecting targeted, more responsive, and equally efficient services from the public sector. The advent of social media, which was once predominantly a trend amongst the younger generation, has now exploded into a phenomenon that is widely accepted by all parts of society, across both private and public sectors. Scholarly research on social media is growing exponentially across various disciplines including the public sector. Existing literature highlights that social media has the potential for public institutions to create real transformative opportunities concerning key issues such as transparency, accountability, communication and collaboration, to promote civic engagement. It has opened new sets of possibilities for governments, ranging from the joint production of public services in cooperation with citizens, social organizations and businesses, through wide distribution and re-use of government information to the introduction of new forms of democratic participation. Public sector organizations around the world, including Europe, are aware of these new possibilities and have actively started exploring them. However, it is far more than simply introducing or making use of new technologies, as the social media phenomenon in the public sector has opened up challenges and opportunities at the same time. Therefore, public sector institutions must assess the business case and the vital organizational and governance changes that the use of social media entails prior to adopting these web-based technologies. This mini track invites work discussing the opportunities and challenges that arise with the use of social media in the public sector. In addition to empirical studies, theoretical and conceptual papers will also be given fair consideration. The objective of this mini-track is to encourage research of use to those engaged in social media research. Contributed papers may deal with, but are not restricted to: ? Innovative applications and best practices of Social Media use in the public sector ? Social Media Data Mining and Analytics ? Social Media and Big Data ? Social Network analysis ? Theoretical models for studying, analyzing and understanding Social Media ? Opinion Mining and Sentiment Analysis ? Trust and Credibility in Social Media ? Social Media Apps for the Social Good ? Social Media and Mobile Technologies ? Transformational Social Media initiatives ? Different process, information systems and technology integration approaches used in Social Media initiatives ? Barriers to awareness, adoption, and diffusion of Social Media initiatives ? The development, implementation, control, and maintenance of Social Media initiatives ? Policy and strategy for effective Social Media use in the Public Sector Important Dates: ? Submission Deadlines: March 2, 2016 ? Final Decisions: May 1, 2016 Kind Regards, Sankar Uthayasankar (Sankar) Sivarajah BSc (Hons), MSc, PhD, AFHEA Lecturer in Operations Management Twitter: @SankarSivarajah Connect with me on Linkedin<https://www.linkedin.com/in/sankarsivarajah>, Twitter<https://twitter.com/SankarSivarajah> Brunel University London College of Business, Arts and Social Sciences Brunel Business School Eastern Gateway Building, Brunel University London, Uxbridge, UB8 3PH, United Kingdom T +44 (0) 1895 274000 | F +44 (0) 1895 232806 www.brunel.ac.uk<http://www.brunel.ac.uk/> Connect with the university on LinkedIn<http://www.linkedin.com/groups/Official-Brunel-University-London-Alumni-606…>, Twitter<http://www.twitter.com/bruneluni>, Facebook<http://www.facebook.com/bruneluniversity> [https://intra.brunel.ac.uk/s/comms/PublishingImages/50th%20Anniversary%20Lo…] [cid:image028.jpg@01CEEF47.DDDA97D0]

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Fwd: [AISWorld] Thematic Series: Software Engineering from a Social Network Perspective
by Gustaf Neumann 11 Jan '16

11 Jan '16

-------- Weitergeleitete Nachricht -------- Betreff: [AISWorld] Thematic Series: Software Engineering from a Social Network Perspective Datum: Mon, 11 Jan 2016 18:00:38 +0000 Von: Marco Aurélio Gerosa <gerosa(a)ime.usp.br> An: chi-announcements(a)listserv.acm.org <chi-announcements(a)listserv.acm.org>, aisworld(a)lists.aisnet.org <aisworld(a)lists.aisnet.org> Software Engineering from a Social Network Perspective Edited by: Marco A. Gerosa, David Redmiles, Pernille Bjorn, Anita Sarma Social networks model how people communicate, coordinate, cooperate, and develop professional relationships, which are critical activities for the accomplishment of a software development project. This thematic series describes the ongoing research efforts that are undertaken to deal with software engineering from a social network perspective. Editorial [image: Open Access] <http://www.springeropen.com/about/access> * <http://www.jisajournal.com/content/6/1/23>* *Editorial: Thematic series on software engineering from a social network perspective <http://www.jisajournal.com/content/6/1/23>* Marco Gerosa, David Redmiles, Pernille Bjørn, Anita Sarma*Journal of Internet Services and Applications* 2015, *6*:23 (10 November 2015) Abstract <http://www.jisajournal.com/content/6/1/23/abstract> | Full text <http://www.jisajournal.com/content/6/1/23> | PDF <http://www.jisajournal.com/content/pdf/s13174-015-0038-0.pdf> Research [image: Open Access] <http://www.springeropen.com/about/access> * <http://www.jisajournal.com/content/6/1/19>* *Design and implementation of a social networking platform for cloud deployment specialists <http://www.jisajournal.com/content/6/1/19>* Kostas Magoutis, Christos Papoulas, Antonis Papaioannou, Flora Karniavoura, Dimitrios-Georgios Akestoridis, Nikos Parotsidis, Maria Korozi, Asterios Leonidis, Stavroula Ntoa, Constantine Stephanidis*Journal of Internet Services and Applications* 2015, *6*:19 (1 September 2015) Abstract <http://www.jisajournal.com/content/6/1/19/abstract> | Full text <http://www.jisajournal.com/content/6/1/19> | PDF <http://www.jisajournal.com/content/pdf/s13174-015-0033-5.pdf> | ePUB <http://www.jisajournal.com/content/epub/s13174-015-0033-5.epub> Research [image: Open Access] <http://www.springeropen.com/about/access> * <http://www.jisajournal.com/content/6/1/17>* *A study on the geographical distribution of Brazil’s prestigious software developers <http://www.jisajournal.com/content/6/1/17>* Fernando Filho, Marcelo Perin, Christoph Treude, Sabrina Marczak, Leandro Melo, Igor da Silva, Lucas dos Santos*Journal of Internet Services and Applications* 2015, *6*:17 (11 August 2015) Abstract <http://www.jisajournal.com/content/6/1/17/abstract> | Full text <http://www.jisajournal.com/content/6/1/17> | PDF <http://www.jisajournal.com/content/pdf/s13174-015-0032-6.pdf> Research [image: Open Access] <http://www.springeropen.com/about/access> * <http://www.jisajournal.com/content/6/1/14>* *Lessons learned from applying social network analysis on an industrial Free/Libre/Open Source Software ecosystem <http://www.jisajournal.com/content/6/1/14>* Jose Teixeira, Gregorio Robles, Jesús González-Barahona*Journal of Internet Services and Applications* 2015, *6*:14 (24 July 2015) Abstract <http://www.jisajournal.com/content/6/1/14/abstract> | Full text <http://www.jisajournal.com/content/6/1/14> | PDF <http://www.jisajournal.com/content/pdf/s13174-015-0028-2.pdf> Research [image: Open Access] <http://www.springeropen.com/about/access> * <http://www.jisajournal.com/content/6/1/13>* *Multilayered analysis of co-development of business information systems <http://www.jisajournal.com/content/6/1/13>* Michael Aram, Gustaf Neumann*Journal of Internet Services and Applications* 2015, *6*:13 (1 July 2015) Abstract <http://www.jisajournal.com/content/6/1/13/abstract> | Full text <http://www.jisajournal.com/content/6/1/13> | PDF <http://www.jisajournal.com/content/pdf/s13174-015-0030-8.pdf> | ePUB <http://www.jisajournal.com/content/epub/s13174-015-0030-8.epub> Research [image: Open Access] <http://www.springeropen.com/about/access> * <http://www.jisajournal.com/content/6/1/10>* *Social debt in software engineering: insights from industry <http://www.jisajournal.com/content/6/1/10>* Damian A Tamburri, Philippe Kruchten, Patricia Lago, Hans Vliet*Journal of Internet Services and Applications* 2015, *6*:10 (4 May 2015) Abstract <http://www.jisajournal.com/content/6/1/10/abstract> | Full text <http://www.jisajournal.com/content/6/1/10> | PDF <http://www.jisajournal.com/content/pdf/s13174-015-0024-6.pdf> | ePUB <http://www.jisajournal.com/content/epub/s13174-015-0024-6.epub> Research [image: Open Access] <http://www.springeropen.com/about/access> * <http://www.jisajournal.com/content/6/1/7>* *Using popular social network sites to support requirements elicitation, prioritization and negotiation <http://www.jisajournal.com/content/6/1/7>* Norbert Seyff, Irina Todoran, Kevin Caluser, Leif Singer, Martin Glinz*Journal of Internet Services and Applications* 2015, *6*:7 (24 April 2015) Abstract <http://www.jisajournal.com/content/6/1/7/abstract> | Full text <http://www.jisajournal.com/content/6/1/7> | PDF <http://www.jisajournal.com/content/pdf/s13174-015-0021-9.pdf> -- Marco A. Gerosa (http://www.ime.usp.br/~gerosa) Faculty at the Computer Science Department University of São Paulo (http://www.ime.usp.br/dcc) _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [WI] MHDW 2016 - Call for Papers
by Gustaf Neumann 11 Jan '16

11 Jan '16

-------- Weitergeleitete Nachricht -------- Betreff: [WI] MHDW 2016 - Call for Papers Datum: Mon, 11 Jan 2016 14:56:53 +0200 Von: mhdw-publicity(a)image.ntua.gr Antwort an: mhdw-publicity(a)image.ntua.gr [Apologies for cross-postings] --------------------------- Call for Papers --------------------------- MHDW 2016 5th Mining Humanistic Data Workshop September 16-18, 2016 Thessaloniki, Greece http://conferences.cwa.gr/mhdw2016/ ----------------------------------------------------------------------- Given the advance of digital content created, consumed or manipulated by a constantly increasing amount of people worldwide, the field of digital humanities emerged as a new trending research area over the recent years. In this framework, humanistic data interpretation and management lead to the need for the building of a related research community. In this manner the organization of the 5th consecutive Mining Humanistic Data Workshop comes to establish the aforementioned research foundations towards efficient processing and analyzing of data. Being a digital multimedia world, the aim is rather twofold: on the one hand, to extract meaningful information and knowledge that will help us understand human behavior, creativity, reasoning, learning, decision making, socializing and even biological processes; on the other hand, to exploit the extracted knowledge from raw data by incorporating it into intelligent systems that will support humans in their everyday activities. Over the years it is commonly accepted by researchers that the nature of humanistic data can be multimodal, semantically heterogeneous, dynamic, time and space-dependent, and highly complicated. Translating humanistic information, e.g., behavior, state of mind, artistic creation, linguistic utterance, learning and genomic information into numerical or categorical low-level data is a significant challenge on its own. New techniques capable of dealing with this kind of data need to be implemented, whereas existing ones should be creatively adapted to the special characteristics identified. The 5th Mining Humanistic Data Workshop aims to bring together interdisciplinary approaches that focus on the application of innovative, as well as existing, data matching, fusion and mining, knowledge discovery and management, techniques, like for instance decision rules and trees, association rules, ontologies and alignments, clustering, filtering, supervised or unsupervised learning, classifier systems, neural networks, support vector machines, pre- or post-processing, feature selection, visualization techniques, et al.. To illustrate human-centered application functionalities, data management approached derived from all fields of humanistic sciences, like linguistic, historical, behavioral, psychological, artistic, musical, educational, social or other types of data, will be also welcomed in the framework of this community. Research efforts that typically collect large volumes of usually heterogeneous data, like ubiquitous computing applications (aka pervasive or mobile ! computing, ambient intelligence, etc.) or big data mining methodologies are also encouraged in the sense of content adaptation, learning and overall context awareness. Last, but not least an important aspect of related human-centered research efforts in informatics deals also with the managing, processing and computationally analyzing of biological and biomedical data within the broader scope of bioinformatics. Hence, one of the aims of this workshop will be to also attract researchers interested in designing, developing and applying efficient data mining techniques for discovering the underlying knowledge inherent in such data, such as sequences, gene expressions and pathways. -------------- Aim and topics -------------- The single track 1-day workshop aims to provide a platform for exchanging fresh ideas and expertise, and for obtaining feedback on ongoing research. Thus, MHDW 2016 covers different issues of humanistic data management technologies and social semantic technologies in their use for content creation, media adaptation and filtering, as well as user or application profiling. Topics of interest include but are not limited to: - Humanistic data collection and interpretation - Data pre-processing - Feature selection methodologies - Supervised or unsupervised learning of humanistic knowledge - Clustering/Classification techniques - Fuzzy modeling - Heterogeneous data fusion - Knowledge representation and reasoning - Linguistic data mining - Educational data mining - Music information retrieval - Data-driven profiling/ personalization - User modeling - Behavior prediction - Recommender systems - Web sentiment analysis - Social data mining - Data visualization techniques - Integration of data mining results into real-world applications with humanistic context - Ontologies, ontology matching and alignment - Mining humanistic data in the cloud - Game data mining - Virtual-world data mining - Speech and audio data processing - Data mining techniques for knowledge discovery - Biomedical data mining - Bioinformatics - Content creation, annotation and modeling for semantic and social web - Computational intelligence for media adaptation and personalization - Semantics-driven indexing and retrieval of multimedia contents - Semantic context modeling and extraction - Context-aware applications - Social web economics and business - Privacy/security issues in social and personalized applications - Privacy preserving data mining and social networks - Social data analytic ----------------- Papers submission ----------------- The paper submission deadline is *27/04/2016*. Details about the MHDW 2016 submission guidelines are available on the MHDW 2016 website (http://conferences.cwa.gr/mhdw2016/). All papers presented at the workshop will be published within the main AIAI 2016 Conference Proceedings Volume and thus will be submitted to international indexing organizations for indexing. As with previous MHDW workshops, plans are in place to have extended versions of selected papers appear in an international journal Special Issue to be announced. -- Mailing-Liste: wi(a)lists.kit.edu Administrator: wi-request(a)lists.kit.edu Konfiguration: https://www.lists.kit.edu/wws/info/wi

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Fwd: [WI] Verlängerung der Einreichungsfrist - Workshop zur Modellierung in der Hochschullehre (MoHoL 2016)
by Gustaf Neumann 11 Jan '16

11 Jan '16

-------- Weitergeleitete Nachricht -------- Betreff: [WI] Verlängerung der Einreichungsfrist - Workshop zur Modellierung in der Hochschullehre (MoHoL 2016) Datum: Mon, 11 Jan 2016 11:01:20 +0000 Von: Ullrich, Meike (AIFB) <meike.ullrich(a)kit.edu> Antwort an: Ullrich, Meike (AIFB) <meike.ullrich(a)kit.edu> An: wi(a)lists.uni-karlsruhe.de <wi(a)lists.uni-karlsruhe.de> *!!! Verlängerung der Einreichungsfrist für den Workshop auf den 17. Januar 2016 !!!* *Für den Wettbewerb werden nach wie vor bis zum 21. Februar 2016 noch Beiträge gesucht.* ** *Workshop zur Modellierung in der Hochschullehre (MoHoL 2016)* zusammen mit einem *Wettbewerb zur Bewertung von Modellen* Webseite: http://butler.aifb.kit.edu/MoHoL <http://butler.aifb.kit.edu/MoHoL/> ************************************************************************************* Im Rahmen der Tagung „Modellierung 2016“ 2. März 2016 Karlsruher Institut für Technologie (KIT), Karlsruhe, Deutschland Mit einer Keynote von Prof. Dr. Martin Glinz (Universität Zürich, CH) _Einreichungsfristen:_ Workshop: 10. Januar 2016*17. Januar 2016* Wettbewerb: 21. Februar 2016 Der Workshop verfolgt zum einen das Ziel, *Erfahrungen in der Hochschullehre* zusammenzuführen. Zum anderen*, potenziell automatisierbare Bewertungsschemata* und ihre Grenzen für Modellierungsaufgaben zu diskutieren. Für den *Workshop* werden neue oder bereits veröffentlichte Beiträge gesucht, die sich beispielsweise mit den folgenden Aspekten befassen: ·*Unterrichten der Modellierung* oLerninhalte, Lernziele oLernkonzepte oInnovative Unterrichtsmethoden oFallbeispiele, Teaching Cases oLessons Learned, Best Practices ·*Prüfungen zur Modellierung und Bewertung von Modellierungsaufgaben* oPrüfungsaufgaben, Leistungskontrolle oBewertungsschemas für studentische Prozessmodelle (Qualitätsbezug) oeAssessments (formativ oder summativ) oTools mit Modellierungsunterstützung (Feedback-Kopplung) für Studierende Mit Hilfe des *Wettbewerbs* wollen wir die Auseinandersetzung mit dem Thema der Bewertung von Modellierungsaufgaben fördern. Dazu werden manuelle oder (teil-)automatisierte Bewertungsschemata für eine gegebene Modellierungsaufgabe (EPK-Modellierung) und einem Datensatz von 10 verschiedenen Lösungen gesucht. Detaillierte Informationen sind auf der Webseite des Workshops zu finden: http://butler.aifb.kit.edu/MoHoL _Organisation_ ·Andreas Schoknecht <http://www.aifb.kit.edu/web/Andreas_Schoknecht>, Karlsruher Institut für Technologie ·Meike Ullrich <http://meike.anduin.net/>, Karlsruher Institut für Technologie _Programmkomitee_ ·Katrin Bergener (Universität Münster, DE) ·Stefanie Betz (Karlsruher Institut für Technologie, DE) ·Michael Fellmann (Universität Rostock, DE) ·Jens Gulden (Universität Duisburg-Essen, DE) ·Constantin Houy (Universität des Saarlandes, DFKI, DE) ·Stefan Klink (DHBW Karlsruhe, DE) ·Birger Lantow (Universität Rostock, DE) ·Henrik Leopold (VU University Amsterdam, NL) ·Nicolas Pflanzl (Universität Münster, DE) ·Tom Thaler (Universität des Saarlandes, DFKI, DE) -- Karlsruher Institut für Technologie (KIT) Institut für Angewandte Informatik und Formale Beschreibungsverfahren (AIFB) M.Sc. Angew. Inf. Meike Ullrich Wissenschaftliche Mitarbeiterin Kaiserstr. 89, 76133 Karlsruhe Büro: Gebäude 05.20, Raum 1A-10 E-Mail: meike.ullrich(a)kit.edu <mailto:meike.ullrich@kit.edu> Web: http://www.aifb.kit.edu/web/Meike_Ullrich KIT – Die Forschungsuniversität in der Helmholtz-Gemeinschaft /Das KIT ist seit 2010 als familiengerechte Hochschule zertifiziert./

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Fwd: International Journal of Big Data Intelligence (IJBDI): Jan 2016 Issue
by Gustaf Neumann 09 Jan '16

09 Jan '16

-------- Weitergeleitete Nachricht -------- Betreff: International Journal of Big Data Intelligence (IJBDI): Jan 2016 Issue Datum: Sat, 9 Jan 2016 16:23:59 +0800 (CST) Von: CSPlus-Admin <cfp-admin(a)grid.chu.edu.tw> Antwort an: CSPlus-Admin <cfp-admin(a)grid.chu.edu.tw> An: neumann(a)wu-wien.ac.at The contents of the latest issue of: International Journal of Big Data Intelligence (IJBDI) Vol. 3, No. 1, 2016 Published: Quarterly in Print and Electronically ISSN online: 2053-1397; ISSN print: 2053-1389; http://www.inderscience.com/ijbdi ------------------------------------------------------- Dear Distinguished Colleagues, The International Journal of Big Data Intelligence (IJBDI) delighted to announce the publication of the latest issue. We would like to invite you to read the articles. =========================== IJBDI Vol. 3 No. 1 (2016) =========================== http://www.inderscience.com/info/inarticletoc.php?jcode=ijbdi&year=2016&vol… Article #1 Title: Data behaviours model for Big Data visual analytics Author: Jinson Zhang; Mao Lin Huang Journal: Int. J. of Big Data Intelligence, 2016 Vol.3, No.1, pp.1 - 17 Abstract: Big Data is composed of text, image, video, audio, mobile or other forms of data collected from multiple datasets, and is rapidly growing in size and complexity. It has created a huge volume of multidimensional data within a very short time period. This raises several new challenges, including; how to classify Big Data for multiple datasets, how to analyse Big Data for different forms of data, and how to visualise Big Data without the loss of information. In this paper, we extended our 5Ws density methods to Big Data behaviours analysis and visualisation. Our approach classifies Big Data into the 5Ws dimensions based on the data behaviours, and then further creates the 5Ws densities to measure Big Data patterns across multiple datasets for any form of data. We also establish non-dimensional data axes as additional parallel axes for Big Data visualisation. The experimental results have shown that the proposed new model has significantly improved the accuracy of Big Data visual isation, and has large potential benefits and applications. Article #2 Title: Learning-based text classifiers using the Mahalanobis distance for correlated datasets Author: Noopur Srivastava; Shrisha Rao Journal: Int. J. of Big Data Intelligence, 2016 Vol.3, No.1, pp.18 - 27 Abstract: We present a novel approach to text categorisation with the aid of the Mahalanobis distance measure for classification. For correlated datasets, classification using the Euclidean distance is not very accurate. The use of the Mahalanobis distance exploits the correlation in data for the purpose of classification. For achieving this on large datasets, an unsupervised dimensionality reduction technique, principal component analysis (PCA) is used prior to classification using the k-nearest neighbours (kNN) classifier. As kNN does not work well for high-dimensional data, and moreover computing correlations for huge and sparse data is inefficient, we use PCA to obtain a reduced dataset for the training phase. Experimental results show improvement in classification accuracy and a significant reduction in error percentage by using the proposed algorithm on huge datasets, in comparison with classifiers using the Euclidean distance. Article #3 Title: Computer network traffic prediction: a comparison between traditional and deep learning neural networks Author: Tiago Prado Oliveira; Jamil Salem Barbar; Alexsandro Santos Soares Journal: Int. J. of Big Data Intelligence, 2016 Vol.3, No.1, pp.28 - 37 Abstract: This paper compares four different artificial neural network approaches for computer network traffic forecast, such as: 1) multilayer perceptron (MLP) using the backpropagation as training algorithm; 2) MLP with resilient backpropagation (Rprop); (3) recurrent neural network (RNN); 4) deep learning stacked autoencoder (SAE). The computer network traffic is sampled from the traffic of the network devices that are connected to the internet. It is shown herein how a simpler neural network model, such as the RNN and MLP, can work even better than a more complex model, such as the SAE. Internet traffic prediction is an important task for many applications, such as adaptive applications, congestion control, admission control, anomaly detection and bandwidth allocation. In addition, efficient methods of resource management, such as the bandwidth, can be used to gain performance and reduce costs, improving the quality of service (QoS). The popularity of the newest deep learning metho ds have been increasing in several areas, but there is a lack of studies concerning time series prediction, such as internet traffic. Article #4 Title: Automated validation of structured large databases: an illustration of material code bulk validation Author: Ravindra Patankar; Sandeep Dulluri Journal: Int. J. of Big Data Intelligence, 2016 Vol.3, No.1, pp.38 - 50 Abstract: The accumulation of data and henceforth the storage is growing at an exponential phase owing to the decrease in the memory costs and increasingly complex business processes. With the increased data, typically there would be an increase in the complexity of validating the data. Often, the complexity and effort in validation of large scale databases grows nonlinearly with the increase in database size (Lee et al., 1999). In this paper, we discuss a novel methodology for bulk validation of large scale structured databases. The approach we propose is generic and has been tested in a real time environment. We present an illustration of validation on a material codes validation problem faced by a Fortune 100 enterprise. The demonstration would highlight the heterogeneity, and scale-scope of data validation related problems and henceforth tackling these problems effectively via application of machine learning techniques on Big Data. Article #5 Title: Corporate governance fraud detection from annual reports using big data analytics Author: G. Sudha Sadasivam; Mutyala Subrahmanyam; Dasaraju Himachalam; Bhanu Prasad Pinnamaneni; S. Maha Lakshme Journal: Int. J. of Big Data Intelligence, 2016 Vol.3, No.1, pp.51 - 60 Abstract: Financial reports of corporations publicise their performance. This in turn motivates manipulation of financial statements. Falsification of financial statements over prolonged period results in sudden collapse of multi-national companies, long-term economic loss to government and loss of trust of public. Detecting management frauds using normal audit procedures is time expensive as huge volume of data needs to be analysed. Hence additional analytical procedures should be used. The proposed work aims at automated analysis of annual reports using MapReduce paradigm to identify fraudulent companies. Annual reports of companies from public repositories are parsed to extract features for preparing a score card. Principal component analysis is applied on the score card to extract the principal features to train support vector machine. Experimental results show that 90% accuracy can be achieved using 10% to 25% of the principal features. Using MapReduce paradigm for feature extract ion and classification improves the time efficiency by 85%. Article #6 Title: Privacy models for big data: a survey Author: Nancy Victor; Daphne Lopez; Jemal H. Abawajy Journal: Int. J. of Big Data Intelligence, 2016 Vol.3, No.1, pp.61 - 75 Abstract: Big data is the next big thing in computing. As this data cannot be processed using traditional systems, it poses numerous challenges to the research community. Privacy is one of the important concerns with data, be it traditional data or big data. This paper gives an overview of big data, the challenges with big data and the privacy preserving data sharing and publishing scenario. We focus on the various privacy models that can be extended to big data domain. A description of each privacy model with its benefits and drawbacks is discussed in the review. This survey will contribute much to the benefit of researchers and industry players in uncovering the critical areas of big data privacy. === About IJBDI === International Journal of Big Data Intelligence (IJBDI) is a peer reviewed journal publishing original and high-quality articles covering a wide range of topics in big data intelligence. IJBDI provides a rapid forum for the dissemination of original research as well as review/survey articles. The journal has a distinguished editorial board with extensive academic qualifications, ensuring high scientific standards. === CALL FOR PAPERS === The IJBDI invites renowned researchers from various branches of the field to submit manuscripts for publication in the journal. Accepted papers of IJBDI will undergo language copyediting, typesetting, and reference validation in order to provide the highest publication quality. The average reviewing process is less than 10 weeks. Note: There are no submission or publication fees for manuscripts submitted to the International Journal of Big Data Intelligence (IJBDI). All manuscripts are accepted based on a double-blind peer review editorial process. === IJBDI Coverage === Topics of interest include: -The 5Vs of the data landscape: volume, variety, velocity, veracity, value -Big data science and foundations, analytics, visualisation and semantics -Software and tools for big data management -Security, privacy and legal issues specific to big data -Big data economy, QoS and business models -Intelligence and scientific discovery -Software, hardware and algorithm co-design, high-performance computing -Large-scale recommendation systems and graph analysis -Algorithmic, experimental, prototyping and implementation -Data-driven innovation, computational modelling and data integration -Data intensive computing theorems and technologies -Modelling, simulation and performance evaluation -Hardware and infrastructure, green data centres/environmental-friendly perspectives -Computing, scheduling and resource management for sustainability -Complex applications in areas where massive data is generated The journal welcomes comprehensive survey papers on timely topics. === Special Issue === Experienced researchers and practitioners are welcome to propose, organize, and guest edit special section (3-4 papers) / issue (6-8 papers) around topics of their interest and expertise. Once you propose a Special Issue (SI), you will be the Lead Guest Editor of the Special Issue. We look forward to your stimulating proposals and working with you in ensuring the SI bright. We will be pleased to assist with all questions on the organization of a Special Issue to its publication. Enquiries and special issue proposals should be directed to the editor Prof. Robert Hsu at chh(a)chu.edu.tw === Archive Articles === Vol. 1, No. 1 (2014) *************** pp. 3-17: Big data (lost) in the cloud pp. 18-35: Designing and implementing a cloud-hosted SaaS for data movement and sharing with SlapOS pp. 36-49: Multi-source streaming-based data accesses for MapReduce systems pp. 50-64: A new approach for accurate distributed cluster analysis for Big Data: competitive K-Means pp. 65-73: Peculiarities of numerical algorithms parallel implementation for exa-flops multicomputers Vol. 1, No. 2 (2014) *************** pp. 74-88: Towards quality-of-service driven consistency for Big Data management pp. 89-102: D-CEP4CMA: a dynamic architecture for cloud performance monitoring and analysis via complex event processing pp. 103-113: An extended analytical study of Arabic sentiments pp. 114-126: Health big data analytics: current perspectives, challenges and potential solutions Vol. 1, No. 3 (2014) *************** pp. 127-140: Migrating enterprise applications to the cloud: methodology and evaluation pp. 141-150: A parallel tag affinity computation for social tagging systems using MapReduce pp. 151-165: Innesto: a multi-attribute searchable consistent key/value store pp. 166-171: Anomaly digging approach based on massive RFID data in transportation logistics pp. 172-180: Current trends in predictive analytics of big data Vol. 1, No. 4 (2014) *************** pp. 181-191: Intelligent big data analysis: a review pp. 192-204: Cloud computing for brain segmentation - a perspective from the technology and evaluations pp. 205-214: Provenance for business events PP. 215-229: Should infrastructure clouds be priced entirely on performance? An EC2 case study PP. 230-243: Total exchange routing on hierarchical dual-nets Vol. 2, No. 1 (2015) *************** pp. 2-8: Optimising virtual machine allocation in MapReduce cloud for improved data locality pp. 9-22: An empirical experimentation towards predicting understandability of conceptual schemas using quality metric pp. 23-36: Terms analytics service for CouchDB: a document-based NoSQL PP. 37-44: Energy aware network scheduling for a data centre PP. 45-62: MELA: elasticity analytics for cloud services Vol. 2, No. 2 (2015) *************** pp. 70-80: Heterogeneity-aware scheduler for stream processing frameworks pp. 81-90: Robust fingerprinting codes for database using non-adaptive group testing pp. 91-105: A semantic cloud infrastructure for data-intensive medical research pp. 106-116: Why rank-level fusion? And what is the impact of image quality? pp. 117-126: Malicious traffic analysis on mobile devices: a hardware solution pp. 127-141: A platform for big data analytics on distributed scale-out storage system Vol. 2, No. 3 (2015) *************** pp. 145-156: A survey on big data processing infrastructure: evolving role of FPGA pp. 157-167: Benchmarking multi-GPU communication using the shallow water equations pp. 168-182: Unstructured data mining: use case for CouchDB pp. 183-200: DLS: a cloud-hosted data caching and prefetching service for distributed metadata access pp. 201-221: Classification and comparison of NoSQL big data models Vol. 2, No. 4 (2015) *************** pp. 223-235: Framework for handling personal data: analysis of buying information by questionnaire pp. 236-249: A reference architecture for big data solutions - introducing a model to perform predictive analytics using big data technology pp. 250-261: Big data analysis of swimming pools' impact on household electric intensity in San Antonio, Texas pp. 262-284: Energy-aware service provisioning in volunteers clouds pp. 285-302: A case-based reasoning approach for pattern detection in Malaysia rainfall data Vol. 3, No. 1 (2016) *************** pp. 1-17: Data behaviours model for Big Data visual analytics pp. 18-27: Learning-based text classifiers using the Mahalanobis distance for correlated datasets pp. 28-37: Computer network traffic prediction: a comparison between traditional and deep learning neural networks pp. 38-50: Automated validation of structured large databases: an illustration of material code bulk validation pp. 51-60: Corporate governance fraud detection from annual reports using big data analytics pp. 61-75: Privacy models for big data: a survey ==================================================================== === IJBDI Editorial Board === Advisory Editors: Rajkumar Buyya (University of Melbourne) Wing-Kwong Chan (City University of Hong Kong) Rong N. Chang (IBM Research, USA) Hui Lei (IBM T. J. Watson Research Center) Vijay Raghavan (University of Louisiana at Lafayette) Sanjay Ranka (University of Florida) Domenico Talia (UniversitÃ della Calabria) Jeffrey Tsai (University of Illinois at Chicago) Hongji Yang (Bath Spa University) Yuanyuan Yang (Stony Brook University) Philip Yu (University of Illinois at Chicago) Albert Zomaya (The University of Sydney) Associate Editors: James Abawajy (Deakin University) Nik Bessis (Edge Hill University) Christophe Cerin (University of Paris 13) Thomas J. Hacker (Purdue University) Hung-Chang Hsiao (National Cheng Kung University) Patrick K. Hung (University of Ontario Institute of Technology) Hai Jin (Huazhong University of Science and Technology) Victor Leung (The University of British Columbia) Keqin Li (State University of New York at New Paltz) Grace Lin (III, Taiwan) Marcin Paprzycki (Polish Academy of Sciences) Marcello Trovati (University of Derby) Yang Xiang (Deakin University) Regional Editors: Pavan Balaji (Argonne National Laboratory) Jinjun Chen (University of technology Sydney) Beniamino Di Martino (Second University of Naples) Bhekisipho Twala (University of Johannesburg) Cho-Li Wang (The University of Hong Kong) Editorial Board: Eyhab Al-Masri (University of Waterloo) Amir H. Alavi (Michigan State University) Bernady O. Apduhan (Kyushu Sangyo University) Yuri Demchenko (University of Amsterdam ) Wei Hu (Nanjing University) Jun Huang (Chongqing University of Posts and Telecommunications) Runhe Huang (Hosei University) Bahman Javadi (University of Western Sydney) Chunxiao Jiang (Tsinghua University) Hai Jiang (Arkansas State University) Alex Mu-Hsing Kuo (University of Victoria) Che-Rung Lee (National Tsing Hua University) Keqiu Li (Dalian University of Technology) PRABHAT MAHANTI (UNIVERSITY OF NEW BRUNSWICK) Victor Malyskin (Russian Academy of Sciences) Stelios Sotiriadis (University of Toronto) Luis Veiga (Instituto Superior TÃ©cnico) Monica Wachowicz (University of New Brunswick) Honggang Wang (University of Massachusetts Dartmouth) Shangguang Wang (BeijingÂ UniversityÂ ofÂ PostsÂ andÂ Telecommunications) Yufeng Wang (Nanjing University of Posts and Telecommunications) Tomasz Wiktor Wlodarczyk (University of Stavanger) Jinsong Wu (University de Chile) Feng Xia (Dalian University of Technology) Chu-Sing Yang (National Cheng Kung University) Shui Yu (Deakin University) Daqiang Zhang (Tongji University) Hong Zhu (Oxford Brookes University) Kind regards, Robert Hsu, Editor-in-Chief International Journal of Big Data Intelligence http://www.inderscience.com/ijbdi

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Fwd: [computational.science] CfP: Workshop on Program Transformation for Programmability in Heterogeneous Architectures (Co-located with CGO16); Deadline Jan 15
by Gustaf Neumann 09 Jan '16

09 Jan '16

-------- Weitergeleitete Nachricht -------- Betreff: [computational.science] CfP: Workshop on Program Transformation for Programmability in Heterogeneous Architectures (Co-located with CGO16); Deadline Jan 15 Datum: Sat, 9 Jan 2016 12:05:24 +0100 Von: Guillermo Vigueras <guillermo.vigueras(a)imdea.org> An: Computational Science Mailing List <computational.science(a)lists.iccsa.org> [Apologies if you receive multiple copies of this announcement.] ********************************************************************************* PROHA 2016, CALL FOR PAPERS First Workshop on Program Transformation for Programmability in Heterogeneous Architectures http://goo.gl/RzGbzY Barcelona, 12th March 2016, in conjunction with the CGO'16 Conference ********************************************************************************* Important Dates: Paper submission deadline: 15 January 2016 23:59 (UTC) Author notification: 5 February 2016 Final manuscript due: 26 February 2016 Scope: Developing and maintaining high-performance applications and libraries for heterogeneous architectures is a difficult task, usually requiring code transformations performed by an expert. Tools assisting in and, if possible, automating such transformations are of course of great interest. However, such tools require significant knowledge and reasoning capabilities. For example, the former could be a machine-understandable descriptions of what a piece of code is expected to do, while the latter could be a set of transformations and a corresponding logical context in which they are applicable, respectively. Furthermore, strategies to identify the sequence of transformations leading to the best resulting code need to be elaborated. This workshop will focus on techniques and foundations which make it possible to perform source code transformations, which preserve the intended semantics of the original code and improve efficiency, portability or maintainability. The topics of interest for the workshop include, but are not limited to: * Program annotations to capture algorithmic properties and intended code semantics. * Programming paradigms able to express underlying (mathematical) properties of code. * Usage of dynamic and static mechanisms to infer relevant code properties. * Transformations which preserve intended semantics. * Strategies to apply transformations. * Heuristics to guide program transformation and techniques to synthesize / learn these heuristics. * Tools Submission Guidelines: Submissions are to be written in English and not exceed 10 pages, including bibliography. Submissions should be written in ACM double-column format using a 10-point type. Authors should follow the information for formatting ACM SIGPLAN conference papers, which can be found at http://www.sigplan.org/Resources/Author . Authors should submit their papers in pdf format using the EasyChair submission website https://easychair.org/conferences/?conf=proha2016 . Publication: The proceedings will be made publicly available through ArXiV. Workshop Organizers: - Manuel Carro, IMDEA Software Institute and Technical University of Madrid - Colin W. Glass, University of Stuttgart - Jan Kuper, University of Twente - Julio Mariño, Technical University of Madrid - Lutz Schubert, University of Ulm - Guillermo Vigueras, IMDEA Software Institute - Salvador Tamarit, Technical University of Madrid If you have any questions, please contact the program chair at manuel.carro(a)imdea.org -- Dr. Guillermo Vigueras (PhD) Research Associate IMDEA Software Institute Campus Montegancedo s/n 28223 Pozuelo de Alarcon, Madrid SPAIN Tel: +34911012202 (ext. 4165) Fax: +34911011358 --------------------------------------------------------------------- Computational Science Mailing List hosting provided by: Sardina Systems -- The OpenStack Data Center Automation Company http://www.sardinasystems.com --------------------------------------------------------------------- To unsubscribe, e-mail: computational.science-unsubscribe(a)lists.iccsa.org For additional commands, e-mail: computational.science-help(a)lists.iccsa.org

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Fwd: [AISWorld] CALL for Papers for the AMCIS Mini-track on Computer-Mediated Fraud
by Gustaf Neumann 09 Jan '16

09 Jan '16

-------- Weitergeleitete Nachricht -------- Betreff: [AISWorld] CALL for Papers for the AMCIS Mini-track on Computer-Mediated Fraud Datum: Fri, 8 Jan 2016 16:30:54 +0000 Von: Mennecke, Brian E [SCIS] <mennecke(a)iastate.edu> An: aisworld(a)lists.aisnet.org <aisworld(a)lists.aisnet.org> Colleagues We are offering a new mini-track at AMCIS to examine the issue of computer mediated fraud. We invite you to submit your emerging or completed research to this mini-track. The pervasive use of digital media in both personal and organizational settings has resulted in a variety of new methods in which transactions occur in real-time across borders. While these technologies have been developed to enable widespread efficient communications, they also present distinct challenges in identifying and mitigating various forms of consumer fraud. IS-enabled capabilities provide more efficient and effective cooperation between non-collocated individuals and facilitate internet-based commerce. However, the same enabling characteristics of information systems also generate new settings in which consumer fraud can occur. Thus, an ongoing challenge in the development of communications media and transaction systems is the need to address the balance between security and the deterrence of illicit behaviors with the practical requirements of communications in modern social and commerce systems. This mini-track seeks to explore how communication and transaction systems promote or deter malevolent consumer exchanges. We encourage papers that study the fraudulent use of information systems in personal contexts, and papers that describe or predict how characteristics of information systems can encourage, or deter, various illicit or malevolent behaviors. This mini-track is open to both theoretical and empirical studies, and is open to all research methods (e.g., field studies, case studies, surveys, secondary analysis, experimentation). Potential topics may include (but are not limited to): * Development of frameworks for evaluating how technology affects e-commerce misrepresentation and fraud behaviors. * Research on novel or innovative uses of information systems to deter or detect fraud and other related cybercrimes. * Analysis of phishing, spoofing, and other fraudulent computer-mediated communications. * Studies of the implementation, adoption, and outcomes of technological systems designed to deter or detect non-delivery, overpayment fraud, shill-bidding, second-chance schemes, or other forms of online auction fraud. Important Date: March 2, 2016: AMCIS manuscript submissions closes for authors at 10:00am PST More information is available at http://amcis2016.aisnet.org/ or by contacting the minitrack chairs. Submit your manuscripts at http://mc.manuscriptcentral.com/amcis2016. Andrew Harrison Department of Operations, Business Analytics, and Information Systems University of Cincinnati andrew.harrison(a)uc.edu Brian Mennecke Department of Supply Chain & Information Systems Iowa State University mennecke(a)iastate.edu _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [AISWorld] FINAL CFP ICADIWT 2016
by Gustaf Neumann 09 Jan '16

09 Jan '16

-------- Weitergeleitete Nachricht -------- Betreff: [AISWorld] FINAL CFP ICADIWT 2016 Datum: Sat, 09 Jan 2016 08:45:04 +0530 Von: diwt(a)dirf.org An: aisworld(a)lists.aisnet.org The Seventh International Conference on the Applications of Digital Information and Web Technologies (ICADIWT 2016) National Taipei University, Taipei Taiwan (March 29-31, 2016) Proceedings will be published in IOS Press series (Frontiers in Artificial Intelligence and Applications (FAIA) The Seventh International Conference on the Applications of Digital Information and Web Technologies (ICADIWT 2016) is a forum for scientists, engineers, and practitioners to present their latest research results, ideas, developments and applications in the areas of Computer Communications, Communication networks, Communication Software Communication Technologies and Applications, and other related themes. This conference (ICADIWT Edition VI) will include presentations of contributed papers and state-of-the-art lectures by invited keynote speakers. This conference welcomes papers address on, but not limited to, the following research topics: Internet Communication Internet Technologies Web Applications Internet Software Data Access and Transmission Digital Communication Software Digital Networks Web Communication Interfaces Internet Content Processing Internet of Things Internet of Everything Data Communication Databases and applications Web Systems Engineering Design Intelligent Agent systems Semantic Web Studies Adaptive Web applications and personalization Navigation and hypermedia Digital signal processing Communication and control systems and networks Hardware and software solutions Innovative eHealth, Applications and Products Medical Image Analysis and Biomedical Visualization Computer-Aided Diagnosis Telemedicine, Telehealth and Remote Monitoring Human factor Software reliability Computational Intelligence Data mining and Knowledge discovery Education, e-learning Proceedings: The accepted full papers will be published in the IOS series (Frontiers in Artificial Intelligence and Applications (FAIA))and submitted for inclusion in many indexes. Accepted full papers will be submitted for indexing to multiple abstract and indexing partners. The papers will be indexed in many databases as given at http://www.frontiersinai.com/?q=indexing (papers in EI will be indexed as Journal Article) All the accepted papers will be published in Scopus and or SCI indexed journals Journal of Computer and System Sciences/ (ISI/Scopus) Journal of Digital Information Management (Scopus/EI) International Journal of Computational Science and Engineering (Scopus and EI Indexed) Decision Analytics International Journal of Big Data Intelligence International Journal of Applied Decision Sciences (Scopus/EI) International Journal of Management and Decision Making (Scopus/EI) International Journal of Strategic Decision Sciences International Journal of Enterprise Information Systems (Scopus/EI) Important Dates Submission of papers January 08, 2016 Notification February 05, 2015 Camera ready February 28, 2016 Registration February 28, 2016 Conference Dates March 29-31, 2016 Honorary Chair Dalton Lin, National Taipei University, Taiwan Jang-Ping Sheu, National Tsing Hua University, Taiwan Vincenzo Piuri, Università degli Studi di Milano, Italy General Chairs Yao-Liang Chung, National Taipei University, Taiwan Jolanta Mizera-Pietraszko, Opole University, Poland General Co-Chair Tong-Ying Juang, National Taipei University, Taiwan Advisory Chair Rong-Lin Shen, National Taipei University, Taiwan Nen-Fu Huang, National Tsing Hua University, Taiwan Tsern-Huei Lee, National Chiao Tung University, Taiwan Program Chairs Simon Fong, University of Macau, Macau Jung-Shyr Wu, National Central University, Taiwan Tsung-Nan Lin, National Taiwan University, Taiwan Program Co-Chairs Adrian Florea, University "Lucian Blaga" of Sibiu, Romania Chih-Lin Hu, National Central University, Taiwan submissions at http://www.socio.org.uk/icadiwt/paper-submission/ Email: icadiwt(a)socio.org.uk ---------------------------------------------------- _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [AISWorld] Information Systems Journal special issue on Social Inclusion
by Gustaf Neumann 09 Jan '16

09 Jan '16

-------- Weitergeleitete Nachricht -------- Betreff: [AISWorld] Information Systems Journal special issue on Social Inclusion Datum: Fri, 8 Jan 2016 18:23:54 +0000 Von: Eileen Trauth <etrauth(a)ist.psu.edu> An: aisworld(a)lists.aisnet.org <aisworld(a)lists.aisnet.org> Call for Papers Information Systems Journal Special Issue on Social Inclusion in the Information Systems Field Special Issue Editors Eileen M. Trauth (The Pennsylvania State University) - etrauth(a)ist.psu.edu<mailto:etrauth@ist.psu.edu> K.D. Joshi (Washington State University) - joshi(a)wsu.edu<mailto:joshi@wsu.edu> Lynette (Kvasny) Yarger (The Pennsylvania State University) - lyarger(a)ist.psu.edu<mailto:lyarger@ist.psu.edu> Call: We welcome positivist, interpretive and critical empirical research that seeks greater understanding and theorizing about social inclusion in the information systems field. Submission Deadline: September 1, 2016 Motivation: Social inclusion research seeks to develop a greater understanding about aspects of human diversity in relation to the development, deployment, management, use and impact of information systems and technologies. Relevant aspects of human diversity include: age, disability, ethnicity, gender, gender identity, nationality, race, sexual orientation, and socioeconomic status. This special issue welcomes research that employs a variety of epistemologies and methodologies, and that theorizes the issues with new, indigenous or imported theories. Information Systems Journal (ISJ) is issuing this call for a special issue in order to highlight rigorous IS research and theorizing about social inclusion in the information systems field (Trauth, 2013). The goal of this special issue is to encourage high quality research papers that will contribute to a better understanding of the causes, manifestations and impacts of social inclusion, and subsequent interventions. It is expected that authors will be familiar with the extant body of literature on social inclusion in the IS field (See, for example, the special issues noted in the References.) Topics that might be addressed in the special issue include but are not limited to: * Empirical studies of underrepresented groups in the IS profession * Intersectionality and underrepresented groups - as users or as IS professionals * Critical studies of causes and effects of exclusion on organizations and society * Manifestations of exclusion in the IS profession and in information systems use * Theoretically-informed interventions to increase inclusion in the IS profession * Positivist, interpretive and critical studies of the "haves" and "have nots" in the information society * Influence of human diversity on the design, development and deployment of information systems * Impact of non-inclusive conceptualization of users on information systems development, deployment, management and use Deadlines and Submission Instructions Submissions to the special issue are due no later than September 1, 2016. All submissions must adhere to the formatting guidelines<http://onlinelibrary.wiley.com/journal/10.1111/%28ISSN%291365-2575/homepage…> for Information Systems Journal. Submissions for the full papers must be made to the ISJ's Manuscript Central Account: http://mc.manuscriptcentral.com/isj, where you should select the Special Issue as the submission type. All manuscripts will be prescreened by the Special Issue Editors and only papers that have a reasonable chance of acceptance after two rounds of revision will enter the review process. Manuscripts that do not pass this hurdle will not be further considered for the special issue but authors may consider revising papers for submission to ISJ through the normal submission process. Important dates for the Special Issue on Social Inclusion are: * Submissions open: July 1, 2016 * Submission deadline: September 1, 2016 * First round decisions: December 1, 2016 * Revised manuscripts due: March 1, 2017 * Second round decisions: June 1, 2017 * Final decisions: September 1, 2017 Early submissions are welcome and will be put into the review process as they arrive. References Adam, A., Howcroft, D. & Richardson, H. (2002). Information Technology & People, Special Issue on Gender and Information Systems 15, 2. Kvasny, L and Richardson, H. (2006). Information Technology and People, Special Issue on Critical Information Systems Research, 19, 3. Richardson, H., Tapia, A. and Kvasny, L. (2006). Social Science Computer Review, Special Issue on Critical Research, 24, 3. Trauth, E.M. (Ed.) (2006). Encyclopedia of Gender and IT. Hershey, PA: Idea Group Publishing. Trauth, E.M. (Ed.) (2003). Freedom in Philadelphia: Leveraging Differences and Diversity in the IT Workforce. Proceedings of the ACM SIGMIS Computer Personnel Research Conference. New York: ACM Press. Trauth, E.M. (2013). The role of theory in gender and information systems research. Information & Organization 23, 4, 277-293. Trauth, E.M., Howcroft, D., Butler, T., Fitzgerald, B. & DeGross, J. (Eds.) (2006). Social Inclusion: Societal and Organizational Implications for Information Systems. New York: Springer. Trauth, E.M. and Niederman, F. (Eds.) (2006). The Data Base for Advances in Information Systems, Special Issue on Achieving Diversity in the IT Workforce 37, 4. Urquhart, C. and Underhill-Sem, Y. (2009). Journal of Information, Communication and Ethics in Society Special Issue on ICTs and Social Inclusion 7, 2/3. Von Hellens, L., Trauth, E.M. & Fisher, J. (Eds.) (2012). Information Systems Journal, Special Issue - Increasing the Representation of Women in the Information Technology Professions:Research on Interventions 22, 5. Eileen M. Trauth, PhD Professor of Information Sciences & Technology Women's, Gender & Sexuality Studies International Affairs Labor Studies & Employment Relations Management & Organization College of Information Sciences & Technology The Pennsylvania State University University Park, PA +1 814-865-6457 etrauth(a)ist.psu.edu<mailto:etrauth@ist.psu.edu> www.eileentrauth.com<http://etrauth.ist.psu.edu/> Editor in Chief: Information Systems Journal Playwright: iDream (www.idreamtheplay.com<http://www.idreamtheplay.com/>) _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [AISWorld] AMCIS 2016 CFP: Strategic Use of IS and IT in Non-Profits and Social Enterprises
by Gustaf Neumann 09 Jan '16

09 Jan '16

-------- Weitergeleitete Nachricht -------- Betreff: [AISWorld] AMCIS 2016 CFP: Strategic Use of IS and IT in Non-Profits and Social Enterprises Datum: Fri, 8 Jan 2016 21:17:52 +0000 Von: Oakley, Richelle <oakleyr(a)savannahstate.edu> An: aisworld(a)lists.aisnet.org <aisworld(a)lists.aisnet.org> Conference: 22nd Americas Conference on Information Systems (AMCIS) Track: Strategic and Competitive Use of Information Technology Mini track: Strategic Use of IS and IT in Non-Profits and Social Enterprises Important dates: January 4, 2016: Manuscript submissions open March 2, 2016: Manuscript submission deadline at 10:00am PST, San Diego time April 2016: Author notification, revisions, and final, camera-ready papers due August 11-13, 2016: Present at AMCIS 2016 in San Diego, California ***Mini-track Description*** Many organizations operate with a primary mission to serve the common good. Non-profit organizations focus on impacting the root causes of social problems in communities. Social enterprises aim to improve human well-being using traditional business methods and commercial strategies. These organizations focus on long-lasting social issues such as poverty, homelessness, education inequality, financial instability, lack of healthcare access and knowledge, etc. Both non-profits and social enterprises have various constraints that impact technology adoption, diffusion, and utilization towards efforts in achieving their strategic goals. Examples include regulatory issues, heavy reliance on volunteer staff, limited finances, etc. Interestingly, given these salient factors, there has been minimal research that focuses on the strategic use of technology within these organization types. There is significant potential to examine and improve how these organization types harness the power of information systems (IS) and technology (IT) to accelerate social impact. Thus, it is essential to focus on IS/IT utilization, innovation, and strategic use within non-profit and social enterprise organizations. This mini-track solicits completed and research-in-progress papers addressing IS/IT issues in non-profits or social enterprises. Papers can be conceptual, theoretical, design, empirical, or case studies. Situated in non-profit or social enterprise organizations, topics of interest include, but are not limited to: * Design, development, deployment, and use or utilization of IS/IT * Intra- and inter-organizational IS/IT issues * Individual attitudes, behaviors, or characteristics that impact strategic use of IS/IT * Multiple stakeholder perspectives on IS/IT issues * IS/IT governance or policy issues * Evaluation and assessment of IS/IT impact on organizational performance * Social media, networking, and analytics * Business intelligence and related tools * Innovative and novel IS/IT applications For complete instructions for authors and information about the conference, visit the AMCIS 2016 website at http://amcis2016.aisnet.org/index.php/sessions/call-for-papers. _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Cfp January 2016