From sisun at rutgers.edu Sun Feb 15 23:34:40 2015 From: sisun at rutgers.edu (Si Sun) Date: Sun, 15 Feb 2015 23:34:40 -0500 Subject: [Sighlth-l] SIG HLTH Newsletter - Celebrating a New Semester Message-ID: *CELEBRATING A NEW SEMESTER* *ASIS&T SIG/HLTH Newsletters* *February, 2015* *ANNOUNCEMENTS* - What would you like for our 2015 webinars? - Join us to work with local and student chapters - Sign up for SIG HLTH listserv *NEWS* - Collaborating With ASIS&T Rutgers University Student Chapter and New Jersey Chapter *MEMBER SPOTLIGHT* - Ms. Laura M. Eisenmann (Director of Knowledge Management, Health Advances, LLC) - Ms. Diana Ascher (Doctoral Student at the University of California, Los Angeles) *Q&A* - Call for participation ------------------------------ *ANNOUNCEMENTS* *WHAT WOULD YOU LIKE FOR OUR 2015 WEBINARS?* We are planning a few webinars for the coming year, starting from February, 2015. The themes we planned are as follows: 1. *Conversation between areas*: Communicate patient work with clinical care. 2. *Methodology*: qualitative research and quantitative research methods in health informatics. We are looking for speakers and ideas on other topics of interest (we have enough funds for at least three webinars). Please fill out the following short survey (https://www.surveymonkey.com/s/LGCVZQD) to share your ideas and insights. *JOIN US TO WORK WITH LOCAL AND STUDENT CHAPTERS* We are looking for volunteers to initiate communication with local and student chapters in our effort to enhance academic exchange and encourage future collaborations. These activities can reach two audiences and could be a great opportunity for us to strengthen personal connections with members of local ASIS&T organizations. *We encourage volunteers to:* - Contact the leadership of local chapters and student chapters - Participate in and/or co-organize chapter activities (e.g. local face-to-face discussion groups) with a health-related theme - Send us any materials collected during these activities (e.g. minutes, photos, video, etc.) - Contact Si Sun at sisun at rutgers.edu with any questions Our members in the New Jersey area are planning activities with the Rutgers University Student Chapter and New Jersey Chapter. Please join us in this mutual growth with local ASIS&T organizations. We look forward to an active new year together. *SIGN UP FOR SIG HLTH LISTSERV* We noticed a major problem with communication with our members is the lack of automated sign-in for our listserv. We have added all members to our listserv and you will be receiving our newsletters from now on. Please email Si Sun at sisun at rutgers.edu if you would like to sign up with a different email address. ------------------------------ *NEWS* *COLLABORATING WITH ASIS&T RUTGERS UNIVERSITY STUDENT CHAPTER AND NEW JERSEY CHAPTER* SIG HLTH members Si Sun and Miraida Morales are collaborating with the Rutgers University Student Chapter President Vanessa Kitzie and the New Jersey Chapter leadership to organize student research panels at Rutgers University. Students of all levels in the area with a research interest related to medical or health informatics will come together to share their experiences and resources. This panel is taking place in the Spring semester of 2015 at Rutgers University. ------------------------------ *MEMBER SPOTLIGHT* *Laura M. Eisenmann* Director of Knowledge Management, Health Advances, LLC *Laura M. Eisenmann* has extensive experience in global professional services firms delivering knowledge management solutions, developing digital knowledge products and databases, and organizing information for findability and reuse, including content architecture, taxonomy development, metadata management, search, and usability. She currently leads the Knowledge Management function at Health Advances, LLC , a strategy consulting firm advising healthcare and life science organizations on global business strategy and technology commercialization. She guides and builds knowledge management as a strategic asset of the firm, including developing and advancing leading edge processes and tools to identify, capture, organize, analyze, and disseminate both internal and external information for use by consulting teams. Laura is also an Associate at Columbia University, co-facilitating a class on Findability and Innovation in the Master?s Program in Information and Knowledge Strategy. Prior to joining Health Advances, Laura spent 15 years at the Ernst & Young Center for Business Knowledge, where she was responsible for architecture management for global enterprise knowledge applications, navigation, and findability. She directed the development of platforms and products that implemented the knowledge architecture, including navigation, search, user experience, taxonomy and classification, cataloging, and content architecture. She also led a global, cross-functional reference data change management team that coordinated reference data updates in EY?s global systems. Earlier, Laura spent eight years at Bain & Company as manager of the Experience Center, Bain?s corporate proprietary information center. Laura holds an MS from the Simmons College Graduate School of Library and Information Science and a SB in Music and Math from the Massachusetts Institute of Technology. ------------------------------ *Diana Ascher* Doctoral Student *Diana L. Ascher* is a doctoral student in the Department of Information Studies at the University of California, Los Angeles. Her lifelong interest in decision making has focused on the evaluation, classification, organization, and communication of information in a variety of fields: behavioral science, higher education, journalism, finance, law, leadership, management, medicine, and policy. She brings more than two decades of experience as a writer, editor, and media director to her work. Ms. Ascher's current research projects include: - the influence of cultural time orientation on information practice (dissertation research) - hypervigilant information-seeking behavior - cognitive reflection and information seeking - the economics of information - algorithm cognizance and opinion formation - conceptions of privacy, power, and freedom in contemporary American life Straddling academia and government, Ms. Ascher serves as director of information of the Behavioral Science & Policy Association, working with many of the world's leading behavioral scientists to share findings in ways that are relevant and useful for policy makers. In the corporate world, Ms. Ascher served as a writer, editor, and multimedia producer for companies such as Bloomberg and American Funds. In academia, she was the manager of distance learning at the Fuqua School of Business at Duke University and has consulted with several universities on marketing strategy. And in the entertainment realm, Ms. Ascher gained experience as a writer and producer working with Roger Corman's Concorde New Horizons, Paramount Television, and independent filmmakers. Early in her career as a journalist, Ms. Ascher wrote for the Durham Herald-Sun and the Charlotte News & Observer. She has written and edited in the areas of business, finance, retirement, environmental policy, health, medicine, technology, film, literature, politics, parenting, and more. Ms. Ascher earned her M.B.A. from the Peter F. Drucker Graduate School of Management at Claremont Graduate University and her B.A. in Public Policy from Duke University as a recipient of the Benjamin N. Duke Leadership Scholarship. http://dianaascher.com/ *Please contact us to be featured next!* *(Contact information is available at the end of this email)* ------------------------------ *Q&A* The Q&A section is dedicated research-related question answering. If you have any questions, please send it to us and we will post it immediately on our social media and also in the next issue of SIG/HLTH newsletter. When an answer is available, you will either receive a relayed email from us, or an email directly from the generous answerer. If you would like to answer a question or provide resources, please contact us or the question provider (if applicable). We will update our social media and newsletter accordingly. Please help us with the following question: *Q from Si Sun @Rutgers University:* When conducting interview studies, how do we balance between building rapport and maintaining objectivity? Building rapport often means to show interest and appreciation in the participants' contributions, which can be important for participants to feel comfortable sharing their perspectives. However, this risks encouraging participants to emphasize certain issues and ignoring some others. How can we balance between these two aspects and establish good relationship with participants while assuring the objectivity of the data collected? *Please send us your questions and help others with your ideas!* *(Contact information is available at the end of this email)* ------------------------------ *CONTACTS* Si Sun, Chair sisun at rutgers.edu Emily Vardell, Chair-Elect/Secretary, New Leader Awardee (2014-2015) evardell at email.unc.edu Deborah H. Charbonneau, Secretary dcharbon at wayne.edu Miraida Morales, Communications miraida.morales at rutgers.edu Nancy K. Roderer, SIG HLTH Advisor nrodere1 at jhmi.edu Deborah E. Swain, SIG HLTH Advisor dswain at nccu.edu ASIS&T SIG HLTH [image: SIG HLTH Facebook Page][image: SIG HLTH Facebook Group][image: SIG HLTH Twitter] Page Group Twitter -------------- next part -------------- An HTML attachment was scrubbed... URL: From Richard.Chbeir at u-bourgogne.fr Tue Feb 17 03:13:52 2015 From: Richard.Chbeir at u-bourgogne.fr (Richard Chbeir) Date: Tue, 17 Feb 2015 09:13:52 +0100 (CET) Subject: [Sighlth-l] CFP AIAI 2015: 11th International Conference on Artificial Intelligence Applications and Innovations (September 14-17, 2015 - Biarritz/Bayonne, France) In-Reply-To: <1292551937.5812970.1400140245662.JavaMail.root@u-bourgogne.fr> References: <1619833220.1063422.1378673582388.JavaMail.root@u-bourgogne.fr> <1292551937.5812970.1400140245662.JavaMail.root@u-bourgogne.fr> Message-ID: <984453789.4478500.1424160832867.JavaMail.root@u-bourgogne.fr> * Sorry for cross-posting * ************************************************* CALL FOR PAPERS ************************************************* The 11th International Conference on Artificial Intelligence Applications and Innovations (AIAI'15) http://aiai2015.sigappfr.org/ September 14-17, 2015 Bayonne/Biarritz - France Description and Objectives --------------------------- The importance of Artificial Intelligence is underlined by the fact that it is nowadays being embraced by a vast majority of research fields across different disciplines, from Engineering Sciences to Economics and Medicine, as a means to tackle highly complicated and challenging computational as well as cognitive problems. Being one of the main streams of information processing, Artificial Intelligence may now offer solutions to such problems using advances and innovations from a wide range of sub-areas that induce thinking and reasoning in models and systems. The Artificial Intelligence Applications and Innovations Conference (AIAI) is a major technical event in the fields of Artificial Intelligence and Soft Computing. The 11th AIAI Conference will be held in Biarritz-Anglet-Bayonne (BAB) in France, from September 14th to 17th 2015. Its general focus is to present different perspectives on how Artificial Intelligence may be applied and offer solutions to real world problems, serving the study, analysis and modelling of theoretical and practical issues. The primary target of AIAI is to present highly novel research papers describing innovative algorithms, systems, tools and techniques, as well as proposing advanced prototypes in the area of Artificial Intelligence. General survey papers indicating future directions and professional work-in-progress reports are of equal interest. Acceptance will be based on quality, originality and practical merit of the work. AIAI is supported and sponsored by the International Federation for Information Processing (IFIP). Topics ------- AIAI 2015 seeks contributions in the following areas: - Theoretical Advances Machine Learning Adaptive Control Data Fusion Reasoning Methods Knowledge Acquisition and Representation Planning and Scheduling Artificial Neural Networks Expert Systems Fuzzy Logic and Systems Genetic Algorithms and Programming Particle Swarm Optimisation Bayesian Models - Knowledge Engineering Data Mining and Information Retrieval Decision Support Systems Knowledge Management for e-Learning and Enterprise Portals Intelligent Information Systems Web- and Knowledge-Based Information Systems Ontologies - Multimedia, Graphics and Artificial Intelligence Multimedia Computing Multimedia Ontologies Smart Graphics Colour/Image Analysis Speech Synthesis - Signal Processing Techniques and Knowledge Extraction Computer Vision Human-Machine Interaction / Presence Learning and Adaptive Systems Pattern Recognition Signal and Image Processing Speech and Natural Language Processing - Artificial Intelligence Applications eBusiness, eCommerce, eHealth, eLearning Engineering and Industry Environmental Modelling Finance Telecommunications - Transportation Crisis and Risk Management Medical Informatics and Biomedical Engineering Political Decision Making Natural Language Processing Planning and Resource Management Project Management Emerging Applications Forensic Science - Trends in Computing Accessibility and Computers Affective Computing Agent and Multi-Agent Systems Autonomous and Ubiquitous Computing Distributed AI Systems and Architectures Grid-Based Computing Intelligent Profiling and Personalisation Robotics and Virtual Reality - Other AI and Ethical Issues Evaluation of AI Systems Social Impact of AI Paper Submission ---------------- Authors are invited to electronically submit original, English-language research contributions no longer than 10 pages formatted according to the well known LNCS Springer style, or experience reports. Submitted papers must present unpublished work, not being considered for publication in other journals or conferences. Paper submission deadline is April 26th, 2015. Submissions must be in an electronic form as PDF format and should be uploaded using the conference website. Submitted papers will be refereed by at least three reviewers for quality, correctness, originality, and relevance. Notification and reviews will be communicated via email. Accepted papers will be presented at the conference and included in the proceedings, which will be published by SPRINGER and they will be available on site. At least, one author must register and attend the conference to present the paper. Proceedings will be published by Springer in IFIP Advances in Information and Communication Technology Series and indexed by major indexes. Paper submission is available online via: EasyChair for AIAI 2015 website. Important Dates ---------------- - Submission Deadline: April 26th, 2015 - Notification of Acceptance: May 29th, 2015 - Camera Ready: June 15th, 2015 - Paper Registration: June 17th, 2015 - Conference Dates: 14-17 September 2015 Special issues and Journal Publication --------------------------------------- Extended versions of selected papers will be published in several peer reviewed journals, such as: - Integrated Computer-Aided Engineering - International Journal of Neural Systems General Chairs --------------------- - Richard Chbeir, University of Pau and Adour Countries, France - Yannis Manolopoulos, Aristotle University of Thessaloniki, Greece Program Chairs ???????----------------------- - Ilias Maglogiannis, University of the Piraeus, Greece - Reda ElHajj, University of Calgary, Canada International Program Committee: -------------------------------- (Please check the web site for the full list) From tveinot at umich.edu Thu Feb 19 16:18:14 2015 From: tveinot at umich.edu (Tiffany Veinot) Date: Thu, 19 Feb 2015 16:18:14 -0500 Subject: [Sighlth-l] [PLEASE SHARE] Postdoctoral fellow job posting Message-ID: *Postdoctoral Fellow in Big Data and Community Health* The University of Michigan announces a one-year postdoctoral fellowship position. The position will start May 1, 2015. *Salary: *$50,000 per year, plus a competitive benefits package and the opportunity to appoint and supervise one or more paid undergraduate research assistants to work on projects of your choice. *To apply* Candidates should submit the following materials electronically to Prof. Tiffany Veinot at Email one PDF file which includes 1. A statement of interest describing your relevant background and skill 2. A current curriculum vitae 3. The name and contact information for three references. (One reference should be your doctoral advisor.) 4. Letters of recommendation will only be solicited from finalists 5. Two publications or other writing samples Review of applications will begin immediately and continue until the position is filled. *Position Description* The School of Information, School of Public Health and Urban and Regional Planning Program (at the Taubman College of Architecture and Urban Planning) are jointly offering a postdoctoral fellow position in the multidisciplinary area of ?big data and community health.? The burden of negative health outcomes is, unfortunately, differential in the United States (US). Living in an area in which a large proportion of residents are socio-economically disadvantaged exerts an independent, negative effect on individual health status. Initiatives to reduce such neighborhood-based health disparities, or ?neighborhood effects?, require access to meaningful, timely, and actionable information regarding the health of different groups, and factors that influence their health. Yet, there are key gaps in the country?s population health information infrastructure, including a lack of accepted measures of community health and the fact that many existing data are not fully exploited nor effectively linked. In part, these gaps are due to the challenges of gathering and analyzing large, diverse, dynamic, and relevant data sets. The project will address these challenges by leveraging emerging ?big data? sources such as social media sites and citizen-created maps, while linking new sources with existing health data sets. The postdoctoral fellow will help lead the efforts to: 1) Collect, process, and analyze geo-tagged social media data to measure neighborhood characteristics that are related to health disparities; 2) Compare social media measures with other existing data sets; and 3) Combine machine learning and spatial statistical techniques to explore and model the relationship between neighborhood characteristics and health behaviors. This position will fund a researcher who will have the opportunity to work alongside an interdisciplinary team of collaborators to develop ?big data and community health? as an area of research. The team of investigators includes: Dr. Tiffany Veinot (School of Information and Department of Health Behavior and Health Education, School of Public Health), Dr. Robert Goodspeed (Urban and Regional Planning Program, Taubman College of Architecture and Urban Planning), Dr. Veronica Berrocal (Department of Biostatistics, Dr. Daniel Romero (School of Information and Department of Computer Science, College of Engineering) and Dr. Phillipa Clarke (Institute for Social Research). The postdoctoral fellow will be an equal member of the interdisciplinary research group. The postdoctoral fellow will be expected not only to conduct independent research, but also to collaborate actively in the aforementioned research project with faculty, graduate students, and undergraduate research assistants. This responsibility includes regular communication and coordination with the project team. The postdoc will also be expected to contribute substantially to publications related to ?big data and community health,? acting as first author on some and as a secondary author on others. The postdoctoral fellow will have office space at the University of Michigan and may have the opportunity to teach one course in the School (to be negotiated). *Qualifications:* ? A Ph.D. in a related area completed by the position start date. The ideal candidate will have a PhD in Computer Science, Statistics, Mathematics, Information, Public Health, Geography or a related field. ? A strong background and experience with machine learning, data mining, and/or spatial statistic methods. ? Programming experience and comfort with handling and analyzing big data sets. ? Motivation and initiative, excellent communication skills, and the ability to work independently as well as in a team. ? A desire to learn and contribute to the field of Public Health is preferred. *Non-Discrimination Policy Notice* The University of Michigan, as an equal opportunity/affirmative action employer, complies with all applicable federal and state laws regarding nondiscrimination and affirmative action. The University of Michigan is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, national origin, age, marital status, sex, sexual orientation, gender identity, gender expression, disability, religion, height, weight, or veteran status in employment, educational programs and activities, and admissions. Inquiries or complaints may be addressed to the Senior Director for Institutional Equity, and Title IX/Section 504/ADA Coordinator, Office of Institutional Equity, 2072 Administrative Services Building, Ann Arbor, Michigan 48109-1432, 734-763-0235, TTY 734-647-1388. For other University of Michigan information call 734-764-1817. *Apply here: http://umjobs.org/job_detail/106604/research_fellow * *Application deadline: February 28, 2015* *For more information, contact: Tiffany Veinot, tveinot at umich.edu * -------------- next part -------------- An HTML attachment was scrubbed... URL: