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CfP: Overcoming Cognitive Biases workshop
by Geoff Ellis 04 Aug '14

04 Aug '14

------------------------------------------------------------------ CfP: Overcoming Cognitive Biases workshop http://ocbworkshop.dbvis.de/ ------------------------------------------------------------------ This one-day workshop will be held as part of i-KNOW 2014 (14th International Conference on Knowledge Technologies and Data-driven Business),in Graz, Austria, 16-19 September 2014. http://i-know.tugraz.at IMPORTANT DATES - Submission by: 16 April, 2014 - Notifications of acceptance :16 May 2014 - Camera Ready Copy: 5 June 2014 - Workshop day: 16 or 17 September 2014 SCOPE OF THE WORKSHOP The goal of this workshop is to provide a forum for researchers and practitioners to discuss how to reduce the impact of cognitive biases in the systems we build. Work to date has generally focussed on developing user training to mitigate the effect of a small number of cognitive biases with little effort on software solutions. The latter not only requires research to identify situations where help would assist in better decision making, but also in developing novel corrective actions ideally tailored to the user. In the visualisation domain, work has centred around improving hypothesis generation to avoid confirmation bias, where the user unconsciously seeks evidence to confirm what they already believe, rather than seeking disconfirming evidence. There is plenty of scope for investigating whether or not the cognition of visualisation or elements therein are subject to cognitive biases. We invite participants from a wide range of disciplines such as decision science, cognitive psychology, information visualisation, visual analytics, software engineering, business and intelligence to exchange ideas and establish a roadmap of the state of the art and promote future research potential. Topics of interest include, but are not limited to: - cognitive biases and information visualisation - new classification schemes for cognitive biases - integrating cognitive bias mitigation into existing software - measuring susceptibility to cognitive bias - cognitive biases in groups/collaborative situations - training/learning tools to overcome particular cognitive biases - business decision making - impact of big data on cognitive biases - evaluation techniques/methodologies The workshop will include invited talks, short individual presentations and group activities and will provide a forum for participants to exchange ideas and establish a roadmap of the state of the art and identify future research potential. We hope to grow this interdisciplinary community to promote future collaboration. SUBMISSIONS We invite authors to submit original work, as either 2-3 page position papers or 4-6 page research papers. All submissions will be peer-reviewed and judged on the basis of originality, contribution to the field, technical and presentation quality, and relevance to the workshop. Accepted papers will be published in the supplementary proceedings of i-KNOW 2014 (either ACM or IEEE). Submissions should be in ACM SIG proceedings format (standard 2-column style) as a PDF file through the workshop website. CONTACT For further details please contact Geoffrey Ellis, ellis(a)dbvis.inf.uni-konstanz.de Twitter: @ocb_workshop website: http://ocbworkshop.dbvis.de/ ORGANISERS Geoffrey Ellis, University of Konstanz Gaëlle Lortal, THALES Research & Technology, Paris Michael Bedek, University of Graz ------------------------------------------------------------------

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Deadline Extended - VizSec 2014, Call for Papers
by Nicolas Prigent 01 Aug '14

01 Aug '14

****************************************************************************** 11th Visualization for Cyber Security (VizSec) Call for Papers ### UPDATE : VizSec Deadline EXTENDED by 1 week! ### http://www.vizsec.org/ ****************************************************************************** The 11th Visualization for Cyber Security (VizSec) is a forum that brings together researchers and practitioners from academia, government, and industry to address the needs of the cyber security community through new and insightful visualization and analysis techniques. VizSec provides an excellent venue for fostering greater exchange and new collaborations on a broad range of security- and privacy-related topics. VizSec will be held in Paris, France on November 10, 2014 in conjunction with IEEE VIS. Important research problems often lie at the intersection of disparate domains. Our focus is to explore effective, scalable visual interfaces for security domains, where visualization may provide a distinct benefit, including computer forensics, reverse engineering, insider threat detection, cryptography, privacy, preventing user assisted attacks, compliance management, wireless security, secure coding, and penetration testing in addition to traditional network security. Human time and attention are precious resources. We are particularly interested in visualization and interaction techniques that effectively capture the insights of human analysts so that further processing may be handled by machines, freeing analysts for other tasks. For example, a malware analyst might use a visualization system to analyze a new piece of malicious software that facilitates generating a signature for future machine processing. When appropriate, research that incorporates multiple data sources, such as network packet captures, firewall rule sets and logs, DNS logs, web server logs, and/or intrusion detection system logs, is particularly desirable. Technical Papers ================ Full papers describing novel contributions in security visualization are solicited. Papers may present techniques, applications, practical experience, theory, analysis, or experiments and evaluations. We encourage the submission of papers on technologies and methods that promise to improve cyber security practices, including, but not limited to: - Situation awareness and/or understanding - Incident handling including triage, exploration, correlation, and response - Computer forensics - Recording and reporting results of investigations - Reverse engineering and malware analysis - Multiple data source analysis - Analyzing information requirements for computer network defense - Evaluation and/or user testing of VizSec systems - Criteria for assessing the effectiveness of cyber security visualizations (whether from a security goal perspective or a human factors perspective) - Modeling system and network behavior - Modeling attacker and defender behavior - Studying risk and impact of cyber attacks - Predicting future attacks or targets - Security metrics and education - Software security - Mobile application security - Social networking privacy and security Accepted papers will appear in the ACM Digital Library as part of the ACM International Conference Proceedings Series. Posters ======= Poster submissions may showcase late-breaking results, work in progress, preliminary results, or visual representations relevant to the VizSec community. The poster program will be a great opportunity for the authors to interact with the attendees and solicit feedback. Accepted poster abstracts will be made available on this website. Data ==== If you do not have real-world data to demonstrate your visualization, you may be interested in looking at the VAST 2012 Challenge data. VAST 2013 and VAST 2011 also had cyber security data if you are looking for additional data. Submissions =========== Papers ------ Papers should be at most 8 pages including the bibliography and appendices. Committee members are not required to read the appendices or any pages past the maximum. Submissions not meeting these guidelines will be rejected without consideration of their merit. Submitted papers must not substantially overlap papers that have been published or that are simultaneously submitted to a journal or a conference with proceedings. Authors of accepted papers must guarantee that their papers will be presented at the conference. The VizSec proceedings will be published by ACM. The ACM SIG Proceedings Templates provides Word and LaTeX templates. (If you are using LaTeX, please use Option 2: LaTeX2e - Tighter Alternate style.) Authors should apply ACM Computing Classification categories and terms. ACM invites authors to submit an image representation of their article. The image must be selected from the article body and can be any of the following: art, graphic, table, figures, etc. (Image files are to be as square as possible, 100x100 ppi and in jpg format.) Authors must supply a caption with the image. The caption length should be no more than 512 characters. Posters ------- Interested authors should submit an extended abstract as PDF of at most 2 pages including figures and references. Accepted abstracts will be made available on this website. Authors must present a corresponding poster during the workshop. The poster authors can determine the layout by themselves, but the dimensions of the posters should not exceed the A0 space (841mm x 1189mm or 33.1" x 46.8"). Additionally, poster authors are requested to give a brief oral preview during a plenary "fast forward" session. Submission ---------- Submit papers and poster abstracts using EasyChair: http://www.easychair.org/conferences/?conf=vizsec2014 Important Dates =============== All deadlines are 5:00 PM PST Papers ------ August 8, 2014 Submission for Papers September 12, 2014 Author Notification for Papers October 03, 2014 Camera Ready Submission and Copyright Forms for Papers Posters ------- September 19, 2014 Abstract Submission for Posters September 26, 2014 Author Notification for Poster

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The IEEE International Data-Visualization Contest 2014
by Wong, Pak C 31 Jul '14

31 Jul '14

Call for Participation The IEEE VGTC International Data-Visualization Contest Contest Theme: Visualization-Now I See It! http://vgtc.org/content/ieee-vgtc-international-data-visualization-contest DEADLINE: Monday, Sept 1, 2014 The IEEE Visualization and Graphics Technical Committee (VGTC)<http://vgtc.org/> is sponsoring its first International Data-Visualization Contest to recognize outstanding design in visualization and visual analytics from around the world. The 2014 contest theme is "Visualization-Now I See It!" The contest will be administrated by the IEEE Visualization Pioneers Group (VPG)<http://vgtc.org/content/ieee-vgtc-visualization-pioneers-group> under the auspices of IEEE VGTC. The award will be announced at the IEEE VPG Reception to be held at the IEEE VIS 2014<http://ieeevis.org/> conference. You are not required to attend either the VIS 2014 conference or the VPG reception to participate in the contest. Eligibility All visualization and visual analytics designers, developers, researchers, and practitioners from business, academia, and government sectors around the world are eligible to participate. Submissions cannot promote a commercial product. Submission Limitation Contestants may be lead author on no more than 3 submissions to the 2014 contest. They may be a co-author of any number of submissions. Submission Deadline Nomination packets must be received by 5pm PDT on Monday, September 1, 2014 to qualify for the 2014 contest. Selection Procedure All active IEEE VPG members<http://vgtc.org/content/vis-pioneers-group-vpg-members> who do not make a submission to the contest will be invited to participate in the first-round review. The top contest submissions from this first-round review will undergo a second round of reviews conducted by five distinguished IEEE VPG members representing different backgrounds, who will be chosen jointly by the VGTC and VPG chairs. The 5-member selection committee will thoroughly review and assess the top contest submissions based on communication effectiveness and design originality. The selection committee will submit their recommendation for best visualization to the IEEE VGTC chair by Monday, Oct 27, 2014. Monetary Award Along with a certificate, the winner of the IEEE/VGTC VIS Pioneers Group Best Data-Visualization Award will receive a check for $500 USD. Only one monetary award will be given in 2014. Submission Details The 2014 contest accepts only static visualizations in the form of an image. The contest participant should email the submission package to ieeevpg(a)googlegroups.com<mailto:ieeevpg@googlegroups.com>. The package will include: 1. A pdf file that contains: a. Title of the data-visualization contest submission b. Name, affiliation, email address, and postal address of the participant c. An up to 200 words description of the visualization written in English 2. A static visualization figure in jpg or png format. The size of the total submission package must be less than 10MB. For questions, contact vpg_awards(a)vgtc.org<mailto:vpg_awards@vgtc.org>.

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IEEE VIS 2014 CFP: Provenance for Sensemaking Workshop
by G.Elisabeta Marai 29 Jul '14

29 Jul '14

IEEE VIS 2014 http://ieeevis.org ************************************************************************* Call for Participation: Provenance for Sensemaking Workshop http://www.cs.mdx.ac.uk/prov4sense/ ************************************************************************* November 2014, Paris, France (Half Day, Part of IEEE VIS 2014) === Introduction === During complex analysis tasks, it can be valuable to maintain a history of the data and reasoning involved - referred to as "provenance" information. Provenance information can be a resource for "reflection-in-action" during analysis, supporting collaboration between analysts, and reporting to decision makers. It can also act as a resource after the event, supporting the interpretation of claims, audit, accountability and training. There has been considerable work on capturing and visualizing of "data provenance", which focuses on data collection and computation, and "analytic provenance", which captures the interactive data exploration and reasoning process. However, there is limited work of utilizing such provenance information to support sensemaking, in terms of improving efficacy and avoiding pitfalls such as issues of data quality and human bias. This workshop aims to bring together researchers involved in visual analytics and various aspects of sensemaking to consider emerging positions, questions, and findings related to the capture, processing, representation and use of provenance information to support complex sensemaking tasks. The emphasis is on discussion and collaboration, with a goal of collaboratively producing a paper describing the state-of-the-art of provenance for sensemaking following the workshop. Email: prov4sense(a)easychair.org for any enquiry. === Workshop Format (Half Day) === We solicit extended abstracts (statements of position or current work). Accepted authors will be asked to be present these as posters at the workshop. The abstracts will be used to stimulate discussion topics. This will form the basis of parallel breakout groups intended to explore and develop the thinking. We aim to collaboratively produce a paper covering these topics following the workshop. === Example Topics === - Data/analytic/sensemaking provenance capture and visualization. - Inferring sensemaking provenance from interaction data - User studies related to provenance recording and use - Using provenance to support reasoning/argumentation/reporting - Narrative construction and story telling - Distributed sensemaking - Uncertain and data quality provenance during sensemaking - Cognitive bias and sensemaking - Application of sensemaking and provenance in application domains === Important Dates === - Submission: 31 Aug 2014 - Notification: 14 Sep 2014 - Workshop: 10 or 11 Nov 2014 (TBC) === Submission === - Extended abstract or position paper - 1 to 2 pages - IEEE TVCG format: http://www.cs.sfu.ca/~vis/Tasks/camera_tvcg.html - Submission through EasyChair: https://easychair.org/conferences/?conf=prov4sense === Organizers === Kai Xu, Middlesex University, UK Simon Attfield, Middlesex University, UK T.J. Jankun-Kelly, Mississippi State University, USA -- Liz -- G. Elisabeta Marai Robotics Institute School of Computer Science Carnegie Mellon University http://visualizlab.org/people/marai

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IEEE VIS 2014 CFP: Workshop on Dealing with Cognitive Biases in Visualizations
by G.Elisabeta Marai 28 Jul '14

28 Jul '14

IEEE VIS 2014 http://ieeevis.org --------------------------------------------------------------------------------------- Workshop on Dealing with Cognitive Biases in Visualizations http://decisive-workshop.dbvis.de/ <http://ocbworkshop.dbvis.de/> --------------------------------------------------------------------------------------- This one-day workshop will be held as part of *IEEE VIS 2014* <http://ieeevis.org/>, in Paris, 9-14 November IMPORTANT DATES - Submission of extended abstract: 19th Sept - Notifications of acceptance: 6th Oct - Workshop day: 9/10th Nov (exact date to be confirmed) SCOPE OF THE WORKSHOP Our inherent reliance on mental shortcuts, or heuristics, sometimes results in deviations in judgment from what rational decision models would predict. These deviations are known as cognitive biases. Heuristics allow us to make “good enough” decisions without expending all of our cognitive effort on the task, however, in critical decision environments, “good enough” is often NOT good enough. Visualization tools are increasingly adept at making sense of complex data, but researchers who study cognitive biases have come to realize that the quality of decisions made with these tools are often impaired because tool designers fail to address how heuristics and biases operate in a human-computer interactive setting. Despite decades of research on cognitive biases in controlled settings, there is yet no “recipe book” for experimentally-validated tools and techniques to avoid judgment biases when building tools for solving complex problems in the real world. As well as considering software mitigation solutions, we would also like to explore whether the way we visualize data is subject to cognitive biases. We invite participants from a wide range of disciplines such as information visualization, visual analytics, software engineering, cognitive psychology and decision science, as well as those close to end-user groups like intelligence analysts, to explore some of the ways in which biases impact user performance and share ideas and experiences about practical ways to reduce or overcome these potentially harmful effects. Topics of interest include, but are not limited to: - analytic techniques to mitigate cognitive biases - cognitive biases and information visualization - integrating cognitive bias mitigation into existing software - measuring susceptibility to cognitive bias - empirical methods for investigating cognitive biases - cognitive biases in collaborative systems - new classification schemes for cognitive biases - persuasive technology - evaluation techniques/methodologies - survey/SOTA The workshop will include invited talks, short individual presentations, panel sessions and group activities and will provide a forum for participants to exchange ideas and establish a roadmap of the state of the art and identify future research potential. We hope to grow this interdisciplinary community to promote future collaboration. SUBMISSIONS We invite authors to submit an extended abstract (about 2 pages) of either a position or technical paper. All submissions will be peer-reviewed and judged on the basis of originality, contribution to the field, and relevance to the workshop. Authors will then be invited to contribute to the workshop through individual presentations and to submit full papers, which will be published in the workshop proceedings. Further details will be given in due course. CONTACT For further details please contact: Geoffrey Ellis, ellis(a)dbvis.inf.uni-konstanz.de Twitter: @DECISIVe_ws website: http://decisive-workshop.dbvis.de/ <http://ocbworkshop.dbvis.de/> ORGANIZERS Geoffrey Ellis, University of Konstanz, Germany David Peebles, University of Huddersfield, UK Donald Kretz, Raytheon, USA Gaëlle Lortal, THALES Research & Technology, Paris ------------------------------------------------------------------ -- Liz -- G. Elisabeta Marai Robotics Institute School of Computer Science Carnegie Mellon University http://visualizlab.org/people/marai

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IEEE VIS 2014: Registration open (early bird ends Sept 5th)
by G.Elisabeta Marai 28 Jul '14

28 Jul '14

IEEE VIS 2014 November 9th-14th 2014 Paris, France ****************************************************************************** Registration is now open: http://ieeevis.org/year/2014/info/registration/conference-registration ******************************************************************************* Early bird registration ends September 5th (heaviest discount) Early registration ends October 3rd (medium discount) Late and on-site registration starts October (full price) IEEE VIS 2014 is the premier forum for advances in visualization. The event-packed week brings together researchers and practitioners from academia, government, and industry to explore their shared interests in tools, techniques, and technology. Each of the three main conferences (VAST, InfoVis, and SciVis) will run from Tuesday morning until Friday lunch. Our keynote speaker (Alberto Cairo,University of Miami) will open the conferences on Tuesday morning and our capstone speaker (Barbara Tversky, Stanford University & Columbia University) will close the meeting on Friday. Additionally, the LDAV Symposium occurs on Sunday and Monday before the conferences, as do a number of other workshops and tutorials. In particular, the BELIV and VizSec workshops will also take place on Monday. The main VIS banquet is Wednesday evening. The full program will be available at the start of September. -- Liz -- G. Elisabeta Marai Robotics Institute School of Computer Science Carnegie Mellon University http://visualizlab.org/people/marai

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Postdoc (x2) and PhD (x4) in Visual Analytics @ Middlesex University, London
by Kai Xu 28 Jul '14

28 Jul '14

http://bit.ly/1pwt7EI The position will be hosted at the Interaction Design Centre (http://idc.cs.mdx.ac.uk/) at the Middlesex University, London. The centre is a leading Visual Analyitcs group in UK and received funding for research projects whose total funding is over £15M ($25M/€19M) in the last few years. These positions are supported by the European Commission funded FP7 project 'Valcri' (€13M/£10M/$17M, http://www.valcri.org/) that applies Visual Analytics and Big Data technology to crime investigation. The successful applicants will have the opportunity to work with the 15 project partners in many European countries, including top visual analytics group such as Prof. Daniel Keim's group at the University of Konstanz and small/medium-size companies. For postdoc, application received by 8 Aug will be considered with priority. PostDoc1: http://www.mdx.ac.uk/__data/assets/pdf_file/0009/183438/SCT65-Researcher-in… PostDoc2: http://www.mdx.ac.uk/__data/assets/pdf_file/0010/183439/SCT79-VALCRI-JOB-DE… Application Form: http://www.mdx.ac.uk/about-us/work-for-us/job-vacancies/ For PhD, there is no fixed deadline: PhD1: http://www.mdx.ac.uk/Assets/Visual%20Analytics%20for%20Geo-Spatial.pdf PhD2: http://www.mdx.ac.uk/Assets/Visual%20Analytics%20for%20Insight%20Generation… PhD3: http://www.mdx.ac.uk/Assets/Interactive%20Feature%20Selection.pdf PhD4: http://www.mdx.ac.uk/Assets/Ethically%20Informed%20Design.pdf Application Form: http://www.mdx.ac.uk/courses/fees-and-funding/postgraduate/research-degree-…

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CFP: VIS 2014 Workshop on Provenance for Sensemaking
by Kai Xu 25 Jul '14

25 Jul '14

Call for Participation: Provenance for Sensemaking Workshop (Half Day, Part of IEEE VIS 2014) http://www.cs.mdx.ac.uk/prov4sense/ November 2014, Paris, France === Introduction === During complex analysis tasks, it can be valuable to maintain a history of the data and reasoning involved - referred to as ‘provenance’ information. Provenance information can be a resource for "reﬂection-in-action" during analysis, supporting collaboration between analysts, and reporting to decision makers. It can also act as a resource after the event, supporting the interpretation of claims, audit, accountability and training. There has been considerable work on capturing and visualizing of ‘data provenance’, which focuses on data collection and computation, and ‘analytic provenance’, which captures the interactive data exploration and reasoning process. However, there is limited work of utilizing such provenance information to support sensemaking, in terms of improving efficacy and avoiding pitfalls such as issues of data quality and human bias. This workshop aims to bring together researchers involved in visual analytics and various aspects of sensemaking to consider emerging positions, questions, and ﬁndings related to the capture, processing, representation and use of provenance information to support complex sensemaking tasks. The emphasis is on discussion and collaboration, with a goal of collaboratively producing a paper describing the state-of-the-art of provenance for sensemaking following the workshop. Email prov4sense(a)easychair.org for any enquiry. === Workshop Format (Half Day) === We solicit extended abstracts (statements of position or current work). Accepted authors will be asked to be present these as posters at the workshop. The abstracts will be used to stimulate discussion topics. This will form the basis of parallel breakout groups intended to explore and develop the thinking. We aim to collaboratively produce a paper covering these topics following the workshop. === Example Topics === - Data/analytic/sensemaking provenance capture and visualization. - Inferring sensemaking provenance from interaction data - User studies related to provenance recording and use - Using provenance to support reasoning/argumentation/reporting - Narrative construction and story telling - Distributed sensemaking - Uncertain and data quality provenance during sensemaking - Cognitive bias and sensemaking - Application of sensemaking and provenance in application domains === Important Dates === - Submission: 31 Aug 2014 - Notification: 14 Sep 2014 - Workshop: 10 or 11 Nov 2014 (TBC) === Submission === - Extended abstract or position paper - 1 to 2 pages - IEEE TVCG format: http://www.cs.sfu.ca/~vis/Tasks/camera_tvcg.html - Submission through EasyChair: https://easychair.org/conferences/?conf=prov4sense === Organizers === Kai Xu, Middlesex University, UK Simon Attfield, Middlesex University, UK T.J. Jankun-Kelly, Mississippi State University, USA

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Call for Participation: Workshop on Knowledge Maps and Information Retrieval (KMIR) at DL 2014
by Mutschke, Peter 25 Jul '14

25 Jul '14

CALL FOR PARTICIPATION Knowledge Maps and Information Retrieval (KMIR) Workshop at Digital Libraries 2014 11th September 2014, London, UK Workshop page: http://www.gesis.org/en/events/conferences/kmir2014/ Conference page: http://www.dl2014.org<http://www.dl2014.org/> We are pleased to announce the upcoming halfday workshop on Knowledge Maps and Information Retrieval (KMIR), to be held as part of the International Conference on Digital Libraries 2014 - ACM/IEEE Joint Conference on Digital Libraries (JCDL 2014) and International Conference on Theory and Practice of Digital Libraries (TPDL 2014), London, 8th-12th September 2014 (http://www.dl2014.org<http://www.dl2014.org/>/). Abstract: Knowledge maps are promising tools for visualizing the structure of large-scale information spaces, but still far away from being applicable for searching. The workshop aims at bringing together experts in IR and knowledge mapping in order to discuss the potential of interactive knowledge maps for information seeking purposes. We now have a very good program together for the KMIR workshop. Consult the workshop page (see above) for the preliminary program. If you will attend the workshop, don't forget to register for workshops at die DL2014 registration page. In addition, please notify me (CC to my secretary julia.achenbach(a)gesi.org<mailto:julia.achenbach@gesi.org>) about your attendance. Kind regards, Peter Mutschke -- Acting Head of Department Dep. Knowledge Technologies for the Social Sciences GESIS - Leibniz Institute for the Social Sciences Unter Sachsenhausen 6-8 D-50667 Köln Tel.: +49(0)221 / 47694 -500 Mail: peter.mutschke(a)gesis.org<mailto:peter.mutschke@gesis.org> www.gesis.org<http://www.gesis.org/>

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IEEE VIS 2014 CFP: Workshop on Visualizing Electronic Health Record Data - EXTENDED DEADLINE
by G.Elisabeta Marai 22 Jul '14

22 Jul '14

IEEE VIS 2014 http://ieeevis.org ----------------------------------------------------------------------- CFP: Visualizing Electronic Health Record Data (Workshop) http://www.cs.umd.edu/hcil/parisehrvis Co-located with the IEEE VIS 2014 Conference (Paris, 9-14 November 2014) Organizers: Catherine Plaisant, Silvia Miksch, Theresia Gschwandtner, Sana Malik ----------------------------------------------------------------------- The submission deadline has been EXTENDED to August 31st - to align with the other VIS workshops Electronic Health Record (EHR) databases contain millions of patient records including events such as diagnoses, test results, or medication prescriptions. These records are an invaluable data source for clinical research and improvement of clinical quality, as they provide longitudinal health information about patient populations. The use of EHR databases could be dramatically improved if easy-to-use interfaces allowed clinical researchers and quality improvement analysts to explore complex patterns in order to build and test hypotheses regarding the benefits, risks, and appropriateness of treatments or medication regimens. Novel strategies in information visualization and visual analytics are needed. The interest in this topic is growing at a very rapid pace and is interdisciplinary by nature, both in term of field (medicine and computer science) but also research environment (academic research as well as industry and government agencies). Because of the European location of the conference, we have a unique opportunity to create bridges and explore new collaborations between groups that would not meet otherwise. Dates: Deadline: AUGUST 31st 2014 (submit short paper to present) Notification: SEPTEMBER 15th 2014 Workshop: NOVEMBER 9 or 10 (to be finalized by VIS committee) To participate: the workshop is open to all VIS 2014 attendees See http://www.cs.umd.edu/hcil/parisehrvis for more details -- Liz -- G. Elisabeta Marai Robotics Institute School of Computer Science Carnegie Mellon University http://visualizlab.org/people/marai

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