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BioVis poster and highlights talk deadline May 15th
by Jillian Aurisano 09 May '17

09 May '17

The deadline for posters and highlights talks for the Symposium on Biological Data Visualization (BioVis) is on *May 15th*. Details below. BioVis will be held as a Community of Special Interest (COSI) event at ISMB 2017 July 24, 2017 Prague, Czech Republic http://biovis.net/ https://twitter.com/biovis_net ========================= We invite submissions of contributions to the BioVis Symposium in various formats on all aspects of data visualization in biology, from molecular to cell, tissue, organism and population biology. For detailed information including submission instructions please refer to the full CfP at http://biovis.net/2017/cfp_ismb/ Highlight Talks ---------------------------- Participants are encouraged to submit abstracts highlighting previously published work. Accepted highlight talks will be presented orally at BioVis. Submission Deadline: May 15, 2017 Posters ---------------------------- We invite participants to submit work in progress and preliminary results, previously published work from other venues, or visualization challenges to be presented as a poster. A selection of these will be invited to give a short talk during the conference. Submission Deadline: May 15, 2017 * There is a $50 submission fee for submitters who are not member of ISCB. The first 30 poster submissions before the 15/5 deadline will be reimbursed by biovis. * There will be a best poster award. Best regards, Organization committee of BioVis 2017

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CFP: 3rd International Symposium on Big Data Visual Analytics (BDVA'17)
by Michael Wybrow 09 May '17

09 May '17

3rd International Symposium on Big Data Visual Analytics (BDVA) Call for Papers Technical Sponsor: IEEE South Australia Branch 7-10th November 2017, University of South Australia, Adelaide, Australia http://bdva.net/ In the last decade, Big Data Analytics has become a major decision support factor in industry and government organisations. Visual Analytics is the enabling science for effective exploration of big data through meaningful visualisations and interactive user interfaces. Understanding the multidisciplinary nature, including user querying, powerful analytics, machine learning, visualisation, human-computer interaction, perception and cognition, is critical for Visual Analytics to be effectively deployed. The BDVA'17 Symposium will be held at the University of South Australia (UniSA) on 7-10th November 2017. BDVA'17 will host an exciting programme with internationally renowned keynote speakers, special sessions, and a day of complimentary hands-on workshops. BDVA'17 aims to * bring together leading experts from all relevant scientific domains to advance the understanding of visual analytics of complex, big, and dynamic data; * provide an exciting venue for researchers to network and establish national and international collaborations; and * provide early career scientists with an inspiring event allowing them to connect to relevant experts in the field. SCOPE The symposium will accept a range of manuscript types, including methods, systems, applications, evaluation techniques and theoretical work in Visual Analytics. The scientific scope of the symposium includes, but is not limited to: * Visual Analytics of High-dimensional and Spatio-temporal Data * Scientific and Information Visualisation * Machine Learning and Data Mining for Big Data Visual Analytics * Visual Representation and Interaction * Perception and Cognition of Visual Information * Analytical Reasoning and Sense-making on Big Data * Context-driven User Querying * Semantics-driven Visual Analytics * Evaluation Methods for Visual Analytics * Visual Analytics Algorithms and Foundations * High Performance Graphics for Visualisation * Advanced Technologies and Applications for Visual Analytics * Virtual and Augmented Reality for Visual Analytics * Art and Science for Visual Analytics * Big Data Management, Transformation, and Presentation * Visual Analytics Processes and Workflows * Simulation for Visual Analytics SUBMISSION INFORMATION Regular papers Authors are invited to submit original and unpublished regular papers of 5-8 pages that report novel and mature work. Paper quality versus length will be assessed based on a contribution-per-page judgment. Guidelines for paper formatting and submission instructions are available on the BDVA website http://bdva.net The conference proceedings will be submitted for inclusion in IEEE Xplore. It is a condition of publication that accepted papers are presented by one of the authors. Presenters of accepted papers must register before the camera-ready deadline to avoid withdrawal from the conference proceedings and programme. Poster and Demonstration Papers Authors are invited to submit poster papers that report work in progress and demonstration papers of up to 6 pages. Poster and demonstration papers are not archival publications and will be distributed to the conference attendees on an USB flash drive. Guidelines for paper formatting and submission instructions are available on the BDVA website http://bdva.net Presenters of accepted poster- and demonstration papers must register before the camera-ready deadline to avoid withdrawal from the conference programme. IMPORTANT DATES Submission of regular papers closes: 16th June 2017 Notification of regular paper acceptance: 11th August 2017 Submission of poster/demo papers closes: 18th August 2017 Submission of camera ready regular papers closes: 1st September 2017 Notification of poster/demo paper acceptance: 15th September 2017 Early bird registration closes: 23rd September 2017 Submission of camera ready poster/demo papers: 29th September 2017 BDVA'17 Symposium: 7-10th November 2017 COMMITTEE General Chair Bruce Thomas (University of South Australia, Australia) Technical Programme Chairs Michael Wybrow (Monash University, Australia) Wolfgang Mayer (University of South Australia, Australia) Local Arrangements Chair Stewart von Itzstein (University of South Australia, Australia) Publicity Chair Hongbo Xie (Queensland University of Technology, Australia) Finance Chair Thomasz Bednarz (Data61, CSIRO, Australia) Publication Chair Ulrich Engelke (Data61, CSIRO, Australia) Poster & Demonstrations Chair Tobias Czauderna (Monash University, Australia) Workshops Chair Huyen Nguyen (Data61, Australia) Web Chair James Baumeister (University of South Australia, Australia) Steering Committee Tomasz Bednarz (Data61, CSIRO, Australia) Ulrich Engelke (Data61, CSIRO, Australia) Julian Heinrich (University of Tübingen, Germany) Karsten Klein (University of Konstanz, Germany) Quang Vinh Nguyen (Western Sydney University, Australia) CONTACT BDVA 2017 Program Co-Chairs: info(a)bdva.net * Michael Wybrow (Monash University, Australia) * Wolfgang Mayer (University of South Australia, Australia)

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Tenure-track assistant professor in visualization at University of Copenhagen
by Kasper Hornbæk 08 May '17

08 May '17

Dear group We are looking for a tenure-track assistant professor in visualization at Department of Computer Science at University of Copenhagen. Details of the call are at http://www.diku.dk/ominstituttet/ledige_stillinger/tenure-track-assistant-p…. Please email me (Kasper Hornbæk, kash(a)diku.dk<mailto:kash@diku.dk>), if you have any questions (or get in touch at CHI). Best regards, Kasper --- Kasper Hornbæk, Professor, PhD Department of Computer Science, University of Copenhagen Emil Holms Kanal 6, build. 24, 5th floor, DK-2300 Copenhagen, Denmark kash(a)diku.dk, www.kasperhornbaek.dk, skype:kasperhornbaek, mbl: +45 30957883 --- The Department of Computer Science (DIKU) is expanding its research and educational activities and hereby invites applications for a tenure-track assistant professorship of Information Visualization. Information visualization at DIKU is at the intersection between data science and human-centered computing. Data science techniques are central to dealing with and modelling large sets of data; human-centered computing is central to the design of effective visual representations and task-relevant interaction. The assistant professor will join the department’s Human-Centered Computing Section (http://www.diku.dk/english/research/hcc/) The section’s research is concerned with the theory and practice of how people engage with computing. Currently, our focus is on computer-supported collaborative work, health informatics, human-computer interaction, and information systems development. The candidate will be associated with the BIOPRO project (http://www.biopro.nu) This project aims to design and evaluate novel interactive visualizations that help domain experts develop and combine mathematical models and statistical models with online sensor data with the ultimate goal of optimizing bio-based production processes. We work with domain experts from leading bio-based manufacturing companies in Denmark and with leading university researchers in chemical engineering, chemometrics, and applied statistics. Preferred candidates should * combine an outstanding research record with a strong commitment to teaching and mentoring. * have a PhD in Computer Science, or equivalent. * have a strong background in information visualization documented by publications in top tier venues or journals, such as IEEE VIS or ACM CHI. The tenure track assistant professor’s duties will primarily include research, including obligations with regard to publication/scientific communication and research-based teaching with associated examination obligations within information visualization. Contributing to BIOPRO research – together with a professor and a PhD student – is also key to the position. To a limited extent the position may also include other duties. The tenure track assistant professor must have an academic standing showing internationally competitive research, and/or have internationally recognized high potential to make a future impact. Assessment of applicants will primarily consider their level of documented, internationally competitive research. The ability to attract external funding will be considered together with outreach qualifications. Teaching qualifications are not mandatory but documented teaching qualifications and teaching experience will be considered. The position is open from 1 November 2017 or as soon as possible thereafter. Further information on the Department is linked at http://www.science.ku.dk/english/about-the-faculty/organisation/. Inquiries about the position can be made to Head of Section, Professor Jørgen Bansler (bansler(a)di.ku.dk, cell phone: +45 2381 1332) and Head of Department, Professor Mads Nielsen (mads(a)diku.dk, cell phone: +45 2460 0599). The University wishes our staff to reflect the diversity of society and thus welcomes applications from all qualified candidates regardless of personal background. Terms of employment The position is covered by the Memorandum on Job Structure for Academic Staff. Terms of appointment and payment accord to the agreement between the Ministry of Finance and The Danish Confederation of Professional Associations on Academics in the State. The starting salary is currently up to DKK 413,717 including annual supplement (+ pension up to DKK 70,746). Negotiation for salary supplement is possible. The tenure-track programme An assigned mentor will provide the tenure-track assistant professors with guidance related to career development, other academic topics and administrative procedures. Performance of the tenure-track assistant professor will be followed via internal yearly evaluations and a mid-term and final international evaluation by an assessment committee. If the ‘final appraisal’ is positive you will be promoted as associate professor. Performance and progression towards the criteria below will be evaluated with due consideration of differences between research fields. Criteria for promotion After a 6-year tenure-track period tenure-track assistant professors are expected to meet the following criteria: * A strong publication track record within the specific field of research, including a significant number of corresponding authorships and at least some publications in high-ranked journals based on work carried out during the tenure-track period * Strong external network of collaboration, including joint publications * A significant track record of successful external research funding * Establishment of a strong and internationally competitive research group demonstrating clear independence of former supervisors/mentors, or/and major contributions to the development of an existing research group demonstrating an ability to collaborate within the research group * Completed http://www.ind.ku.dk/english/course_overview/up/ and established a teaching portfolio via participation in teaching, including preparation and development of departmental courses * Successful supervision/co-supervision of MSc and PhD students More details at http://www.diku.dk/ominstituttet/ledige_stillinger/tenure-track-assistant-p… (where you can also apply).

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postdoc for Designing for People UBC Graduate Training Program
by Tamara Munzner 08 May '17

08 May '17

The new Designing For People initiative at UBC is a broader human-computer interaction project that includes visualization as a key focus area, and we have a postdoc position available right now. Applications are broadly invited, including people with a general HCI background and people with a specific visualization background. If you're at CHI in Denver May 8-11, you can connect in person with Karon MacLean or Joanna McGrenere, see below. If you're from the visualization community, feel free to contact me (Tamara Munzner) directly. Cheers, Tamara ---- Tamara Munzner Professor, Department of Computer Science, University of British Columbia http://www.cs.ubc.ca/~tmm, tmm(a)cs.ubc.ca Postdoctoral Fellow with the Designing for People @ UBC Graduate Training Program University of British Columbia, Canada Designing for People (DFP -- a pan-university research cluster) is seeking applications for a one-year (renewable for a second year) postdoctoral fellow to play a pivotal role in designing and delivering an innovative cross-departmental graduate program in Human Computer Interaction. The position is available immediately at UBC’s Point Grey campus in Vancouver, Canada. Description: DFP is developing a new two-year graduate enrichment program with first phase of delivery targeted for September 2017. The teaching postdoc is envisioned to play a multi-faceted role for this program. The two primary foci for Year 1 are to work with a faculty team on the design and delivery of the program’s two core courses: (1) foundations of HCI, and (2) an eight-month externally-sponsored, team-based project in user-centered design. Both of these will be done in partnership with a network of DFP faculty members. The position has some flexibility – candidates who are also interested in building their research portfolio will have the option to include DFP research as part of their job description. For example, program evaluation is a secondary goal for the position, which includes assessment of best practices for ‘team’ building and interdisciplinarity. The postdoc could use the DFP environment to conduct research on these topics. Thus, this role will be ideal for an individual who wants to groom themself for a professional career in innovative, high-value education, rising out of a stellar doctoral research program - for example, as a tenure-track instructor, and/or education researcher. Application Criteria: - The applicant should hold a PhD in a “Designing for People” discipline. We expect to see applicants from, for example, Computer Science, iSchools, or human-facing engineering (human factors) design. In exceptional cases, a research-type Master’s degree combined with professional instructional experience will be considered. - Start dates are somewhat flexible, but the ideal candidate would start by July 2017, or as soon as possible thereafter. - Applicants must have relevant HCI / user-centered design teaching skills, demonstrated by a successful teaching portfolio (e.g., serving as a teaching assistant and ideally a lecturer for HCI courses). - Applicants should also have relevant HCI / user-centered design research experience, demonstrated by publications in high-quality venues. - Applicants should have experience with a variety of human-centered research methods (research ethics, questionnaires, qualitative interviews, and other education evaluation metrics). Application submission: Interested applicants should send the following information to dfp-postdoc(a)cs.ubc.ca: - a brief letter of application, clarifying interest and fit to the position - a curriculum vitae - three reference letters (to be sent separately) We will review applications as they arrive. Further information: For more information about the position contact: Karon MacLean (maclean(a)cs.ubc.ca) or Joanna McGrenere (joanna(a)cs.ubc.ca) Designing For People – HCI@UBC is a new research cluster that brings together faculty and students from across many units at UBC who are focused on designing interactive technologies for human use. Our temporary website can be found at: http://apsc-hci.sites.olt.ubc.ca/ Vancouver is recognized as one of the most livable cities in the world. More information can be found at http://vancouver.ca/aboutvan.htm UBC hires on the basis of merit and is strongly committed to equity and diversity within its community. We especially welcome applications from visible minority group members, women, Aboriginal persons, persons with disabilities, persons of minority sexual orientations and gender identities, and others with the skills and knowledge to productively engage with diverse communities. UBC eligibility for the postdoctoral fellow rank is such that the appointment must commence within five years of being awarded a PhD (excluding maternity/parental/adoptive leave).

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Call for Papers: Interactive Visual Analytics and Visualization for Decision Making - Submission deadline June 15
by David S. Ebert 05 May '17

05 May '17

We are soliciting papers in interactive visualization and analytics for decision making and scientific discovery as part of the Interactive Visual Analytics and Visualization for Decision Making: Making Sense of Big Data minitrack of the Decision Analytics Track at HICSS 50. Accepted paper will appear in the proceedings as well as the IEEE Digital Library. HICSS is always one of the top conferences for downloads in the IEEE Digital Library! A description of the paper topics is below, the minitrack RFP is below, and the conference RFP is available at http://www.hicss.org/#!authors/ccjp. Please contact us with any questions. We look forward to receiving your submissions by June 15, David, Brian, Kelly David Ebert Brian Fisher Kelly Gaither ---------------------------------------------------------------------------- -------------------------------- Dr. David S. Ebert, Silicon Valley Professor of ECE, Purdue University Director, Visual Analytics for Command, Control, and Interoperability Environments <http://www.visualanalytics-cci.org/> http://www.VisualAnalytics-CCI.org Director, Purdue Visualization and Analytics Center, <http://www.purvac.org/> www.purvac.org <mailto:ebertd@purdue.edu> ebertd(a)purdue.edu <http://www.ece.purdue.edu/~ebertd> http://www.ece.purdue.edu/~ebertd ---------------------------------------------------------------------------- -------------------------------- CFP: Interactive Visual Analytics and Visualization for Decision Making supports human decision making through interaction with data and statistical and machine learning processes, with applications in a broad range of situations where human expertise must be brought to bear on problems characterized by massive datasets and data that are uncertain in fact, relevance, location in space and position in time. Current applications include environmental science and technologies, natural resources and energy, health and related life sciences, precision medicine, safety and security and business processes. Submissions are encouraged that extend the areas of use to new analytic tasks in science and technology, public health, business intelligence, financial analysis, social sciences, and other domains. Particular emphasis will be given to submissions that use visual analytics for social change discovery, analysis and communication. Submissions may include studies of visual analytics and decision support in the context of an organization (e.g., communication between analysts and policy-makers), perceptual and cognitive aspects of the analytic task, Interactive Machine Learning, and collaborative analysis using visual information systems. We are also seeking submissions on analytical methods and technologies that use interactive visualization to meet challenges posed by data, platforms, and applications for decision making and risk-based decision making: · Visualization and Analysis of datasets of varying size and complexity from archives and real-time streams · Collaborative visual analysis and operational coordination within and across organizations. · Interactive and Visual Risk-based decision making · Interactive Machine Learning methods · Cross-platform interoperability, from mobiles to data walls · Managing response time of complex analytical tasks · Effective deployment and case studies of success from deployed visualization and analytics experiences · Social media and streaming data visual analytics · Visualization and analytics for data-driven policy making and decision support · Business intelligence, organizational, financial, and economic decision making visual analytics · Issues and Challenges of evaluation of visual decision making · Cognitive and social science aspects of visual decision-making environments For HICSS 2018, we encourage authors to address these themes from their own research perspectives. Authors are encouraged to bring the lens of their own background and expertise to focus on the analytics of the data itself and coordination of multiple levels of analysis, decision-making and operations to the design and evaluation of effective presentations for stakeholders. Both algorithmic data sciences approaches and human-centered "visualization" and visual analytics human-computer interface methods hold great promise for operationalizing massive datasets and streaming data in support of a broad range of human activities. Applications in basic scientific research, business analytics, health sciences, environmental science and engineering R&D explore the implications of these methods for advancement of knowledge and strategic planning. Applications in coordination, command, and control of complex human activities such as crowd and traffic management, disaster relief, law enforcement, and national and cyber security add the constraints of real-time performance and distribution of planning to the challenges faced. For this mintrack we invite computational, cognitive, and organizational perspectives on advanced data processing and interactive visualization across a range of human endeavors. We also invite participation from researchers who are looking at scaling issues and multiscale issues, whether these scales refer to the time of decision making, the form-factor and operational constraints of mobile devices, the number of decision makers or the more traditional notion of multiscale simulation and real world scales of data. We are particularly interested in approaches that combine computational and interactive analytics in mixed initiative or Interactive Machine Learning systems, decision support in the context of an organization (e.g. communication between analysts and policy-makers), perceptual and cognitive aspects of the analytic task, and collaborative analysis using visual information systems.

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CFP: 2nd Workshop on Visualization for the Digital Humanities at IEEE VIS
by Christopher Collins 03 May '17

03 May '17

We invite contributions for the 2nd Workshop on Visualization for the Digital Humanities. This will be a half-day workshop taking place as part of IEEE VIS 2017 in Phoenix, AZ. http://vis4dh.org. The purpose of this workshop is to propose new research directions in visualization for the digital humanities, to familiarize the visualization research community with the problems faced by digital humanities researchers, and to foster future collaboration between visualization and digital humanities research. Despite the growing popularity of digital methods for research in the humanities, digital humanists are underserved by academics in visualization, and under-represented in visualization conferences. This is due to a number of factors: 1. The differences in rhetorics of proof and discovery (and so differences in data culture and use) in the humanities as opposed to other, typically scientific or analytic fields where visualization research is commonly focused. 2. The difficulty of performing task analysis and evaluation for many humanities questions, that may have no ground truth. 3. In text visualization specifically, the difference between the needs of digital humanists (who perform close readings and critical engagements with texts) as opposed to more standard text visualization scenarios (e.g. text analytics on datasets for intelligence or social media analysis). Addressing these difficulties requires exposure of these data issues, interdisciplinary collaboration, and steering of future research directions. Submission This workshop is seeking work from scholars in both visualization and the humanities who use visualization as part of the process of analyzing and interrogating human culture. Submissions will present original research ideas or results as they relate to visualization for the digital humanities. Each submission should clearly state its specific contribution to this growing field of research. Submissions will take the form of short (2-4 page) papers, falling into one of two submission types: * Short Papers: These submissions are meant to highlight emerging visualization research reporting work in progress or to summarize more mature work in visualization for the digital humanities, including case studies, system descriptions, and empirical results. Of special consideration are works that highlight the difficulties (and propose solutions) of designing visualizations for the digital humanities. Applied work from the digital humanities that is highly visual in nature would also be considered for acceptance. * Position Papers: These submissions are meant to present viewpoints and opinions on the interplay between visualization and the digital humanities. These positions should be informed by a deep involvement and experience in one (or ideally, both) fields. Position papers should be thought-provoking but also well-supported. Authors of accepted short and position papers will be invited for a 9-minute research presentation (including 2 minutes for audience questions). Additionally, they will participate in a moderated panel discussion. Submissions should be in two-column IEEE TVCG format. Latex and Word templates available at: http://junctionpublishing.org/vgtc/Tasks/camera_tvcg.html Submissions will be optionally double blind. Authors wishing to submit their work double blind should remove author information from the cover page of their submitted document, and take care to avoid identifying information in the submission itself (e.g., references to "our" work). Submissions should be submitted via https://easychair.org/conferences/?conf=vis4dh2017 by 5 PM PST, July 21, 2017. Submissions should be in PDF format, and they should not exceed four pages of content. Topics The focus of this workshop is on applied visualization in the digital humanities, as well as highlighting domains in the digital humanities with unmet visualization challenges. These applications and domains include, but are not limited to: * Literature * Philology and Linguistics * Art and Art Criticism * Political Science * Performance (Music, Dance, Film, and Theatre) * Cultural and Historical Studies We are especially interested in a number of open questions in this space, including: * The impact of visual analytics systems on research in the digital humanities: * How can interactive visualizations support new questions, and new scales of research, in the DH community? * How can we encourage DH scholars to seek out visualizations, or collaboration with visualization researchers? * Characteristics of visualization for the digital humanities: * How does visualization with a DH focus differ from general research in the visualization community? * How do their user groups differ? How can debates in public humanities scholarship inform DH visualization practices? * How can we remove obstacles for humanities scholars wanting to use visual analytics approaches for their research? * How digital humanities research questions and tasks can push the frontier of visualization research: * What challenges are there for developing systems with novelty in both visualization and DH communities? * How do we evaluate visualizations where we lack ground truth data? * How can we build bridges between salient issues in the humanities (uncertainty, interpretative complexity, critical theoretical approaches) and the conceptual languages of visualization? Dates June 30, 2017: Submission Deadline August 4, 2017: Notification Deadline August 18, 2017: Camera Ready Submission Deadline 1-6 October, 2017: IEEE VIS Conference Organizers Christopher Collins, University of Ontario Institute of Technology Michael Correll, University of Washington Mennatallah El-Assady, University of Konstanz Stefan Jänicke, Leipzig University Daniel Keim, University of Konstanz David Wrisley, New York University Abu Dhabi Program Committee (confirmed) Eric Alexander, Carleton College Adam Bradley, University of Ontario Institute of Technology Miriam Butt, University of Konstanz Catherine Derose, Yale University Valentin Gold, University of Goettingen Florian Windhager, Danube University Krems

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Decisive 2017 : Dealing with Cognitive Biases in Visualisations
by Geoff Ellis 02 May '17

02 May '17

Call for papers and posters Decisive 2017 : Dealing with Cognitive Biases in Visualisations An IEEE Vis workshop, Oct 1, 2017, Phoenix, Arizona Website: http://decisive-workshop.dbvis.de/ Submission deadline : June 16th We make thousands of subconscious decisions daily and often apply simplified rules or heuristics to speed up the process. Most of these are good enough, however when there is some uncertainty we can make what appears to be irrational decisions, leading to inaccurate judgements, also known as cognitive biases. Over the last 40 years, hundred of cognitive biases have been documented, such as the confirmation bias, where people unconsciously seek out information that confirms their current belief, ignoring information to the contrary. Despite a growing awareness of the detrimental effects of cognitive biases on decision making, there is little work on how to detect this behaviour in those who use visualisation-based applications and even less on how to minimise their effect. The aim of this workshop is to bring together people from a wide range of disciplines such as information visualisation, visual analytics, software engineering, cognitive psychology and decision science, as well as those close to end-user groups like intelligence analysts and medical practitioners, to explore some of the ways in which cognitive biases impact user performance and share ideas about practical ways to reduce or overcome these potentially harmful effects, especially in adapting the tools developers design and build. Topics of interest include, but are not limited to: * cognitive biases in visual decision support system * empirical methods for investigating cognitive biases * visual analytic systems that support bias detection * analytic techniques to mitigate cognitive biases * integrating cognitive bias mitigation into existing software * cognitive biases in collaborative systems (group biases) * new classification schemes/frameworks for cognitive biases * evaluation of decision support techniques/strategies * cognitive biases in information visualisation (state of the art) The workshop will include invited talks from experts in the field of cognitive biases and decision making, and short individual presentations. The afternoon session will be hands-on group activities and a forum for participants to exchange ideas and identify future research potential. We hope to continue to grow this interdisciplinary community to promote future collaboration. SUBMISSIONS : We invite authors to submit technical papers of 2 to 4 pages in length (plus 1 page for references). All submissions will be peer-reviewed and judged on the basis of originality, contribution to the field, and relevance to the workshop. Authors of accepted papers will then be invited to contribute to the workshop through individual presentations and/or a poster presentation in the main conference. Papers will be published in the IEEE Xplore Digital Library and will be available on the conference usb drive. Further details on website. CONTACT : Geoffrey Ellis, ellis(a)dbvis.inf.uni-konstanz.de ORGANISERS : Geoffrey Ellis, dbvis group, University of Konstanz, Germany Evanthia Dimara, AVIZ team, INRIA, France Donald Kretz, Applied Research Associates, USA Alex Endert, Visual Analytics Lab, Georgia Tech, USA FOLLOW us on Twitter @DECISIVe2017 Visit http://decisive-workshop.dbvis.de/ for more details -----------------------------------------------------------------------------------------------------------------------

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Call for Papers -- Workshop on Visualization For Machine Learning And Knowledge Extraction at CD-MAKE 2017
by Turkay, Cagatay 28 Apr '17

28 Apr '17

We invite submissions to this workshop titled “Visualization For Machine Learning And Knowledge Extraction” <https://cd-make.net/special-sessions/make-vis> which is organized as a special session within the “CD-MAKE 2017 -- International Cross Domain Conference for Machine Learning & Knowledge Extraction” Conference <https://cd-make.net<https://cd-make.net/>> taking place between ** August 29 – September 1, 2017 ** in Reggio di Calabria, Italy. This workshop calls for contributions that demonstrate the role and the value of visualization within the whole data science process. The central goal of this workshop is to bring together experts from machine learning and visualization, and also practitioners and researchers from both academia and industry to spark discussion through reflections on cross-domain problems and on the use of diverse techniques from various fields. Accepted papers will be published in Lecture Notes in Artificial Intelligence (LNAI) by Springer <http://www.springer.com/series/1244> and selected papers will be invited to a special issue of the Information Visualization journal by Sage <http://journals.sagepub.com/home/ivi> following the event. The deadline for submission is: ** June 12, 2017 ** For further details, please refer to the CFP below, and for questions feel free to contact Cagatay Turkay <Cagatay.Turkay.1(a)city.ac.uk> and Bob Laramee <r.s.laramee(a)swansea.ac.uk>. CD-MAKE Visualisation Organizing Committee, Cagatay TURKAY, City, University of London, UK Robert S. LARAMEE, Swansea University, UK Chaomei CHEN, Drexel University, USA Andreas HOLZINGER, Graz University of Technology, Austria ==== CALL FOR PAPERS ===== VISUALIZATION FOR MACHINE LEARNING AND KNOWLEDGE EXTRACTION A Special Session at CD-MAKE 2017 -- International Cross Domain Conference for Machine Learning & Knowledge Extraction <https://cd-make.net/> AIM & SCOPE ------------------------- The central goal of this workshop is to bring together experts from machine learning and visualization. Machine learning and Knowledge extraction is an enormously increasing field with many practical applications. Whilst algorithm development is surely at the center of the whole pipeline, it is the visualization which ultimately makes the results accessible to the end user. Visualization thus can be seen as a mapping from arbitrarily high-dimensional spaces to the lower dimensions and plays a central and critical role in interacting with machine learning algorithms, and particularly with interactive machine learning (iML) with the human-in-the-loop. BACKGROUND ------------------------- The unprecedented increase in the amount, variety and value of data has been significantly transforming the way that scientific research is carried out and businesses operate. Knowledge generated from data drives innovation in almost all application domains, including health, transport, cyber security, manufacturing, digital services, and also scientific domains such as biology, medicine, environmental and physical sciences, the humanities and social sciences to name a few. Within data science, which has emerged as a practice to enable this data-intensive innovation by gathering together and advancing the knowledge from fields such as statistics, machine learning, knowledge extraction, data management, and visualization, visualization plays a unique and maybe the ultimate role as an approach to facilitate the human and computer cooperation, and to particularly enable the analysis of diverse and heterogeneous data using complex computational methods where algorithmic results are challenging to interpret and operationalize. Visual data science approaches not only support the abstraction and communication of findings, but also enable new forms of investigation and exploration that can lead to novel and better-informed observations and data-driven inferences. CALL FOR CONTRIBUTIONS ------------------------- This workshop calls for contributions that demonstrate the role and value of visualization for machine learning and knowledge extraction but also within the whole data science process. Methods that exemplify the value of the synergy between visualization and fields such as machine learning, statistics or data mining, and examples of applications where such visual data science approaches deliver new ways of extracting knowledge are highly encouraged. The workshop aims to bring together practitioners and researchers from both academia and industry, and aims to spark discussion and cross-breeding through reflections on cross-domain-driven problems and on the use of diverse techniques from various fields. SUGGESTED TOPICS FOR PAPERS INCLUDE, BUT ARE NOT LIMITED TO: ------------------------- -- Novel visual representations and interaction techniques to facilitate human-involved interactive machine learning and knowledge extraction processes -- Methods and tools for the presentation, production, and visual dissemination of analytical findings -- Data management and knowledge representation including scalable data representations -- Applications of visual data science that demonstrate the value of such a hybrid approach in a given application domain -- Methods related to clustering, subspace visualization, dimensionality reduction -- Visual analytics and konowledge discovery -- Applications of visual analytics -- Graph and Network Visualization -- Algebraic and Computational Topology and Visualization SUBMISSION FORMAT ------------------------- Accepted papers, 6-20 pages (even page numbers!) – please consult the general CD-MAKE submission guidelines<https://cd-make.net/authors-area/submission/> – will be published in the CD-MAKE Springer Volume of Lecture Notes in Artificial Intelligence (LNAI). Selected papers will be invited to a special issue of the Information Visualization (Sage) journal following the event (separate information will be provided soon). JOURNAL INFORMATION: ------------------------- Sage Information Visualization, SCI IF (2015) = 0.639 http://journals.sagepub.com/home/ivi http://dblp.uni-trier.de/db/journals/ivs Information Visualization is essential reading for researchers and practitioners of information visualization and is of interest to computer scientists and data analysts working on related specialisms. This journal is an international, peer-reviewed journal publishing articles on fundamental research and applications of information visualization. The journal acts as a dedicated forum for the theories, methodologies, techniques and evaluations of information visualization and its applications. The journal is a core vehicle for developing a generic research agenda for the field by identifying and developing the unique and significant aspects of information visualization. Emphasis is placed on interdisciplinary material and on the close connection between theory and practice. DATES: ------------------------- *** Submission deadline: June 12, 2017 *** Notifications: July 3, 2017 *** Camera-Ready deadline: July, 9, 2017 (hard deadline – no extensions possible) *** Workshop: August 29 – September 1, 2017 ORGANIZING COMMITTEE: ------------------------- Cagatay TURKAY, City, University of London, UK Robert S. LARAMEE, Swansea University, UK Chaomei CHEN,Drexel University, USA Andreas HOLZINGER, Graz University of Technology, Austria TECHNICAL COMMITTEE: ------------------------- Colleagues from the main CD-MAKE committee<https://cd-make.net/committees>

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data science position at Brookhaven National Lab
by Klaus Mueller 27 Apr '17

27 Apr '17

Brookhaven National Lab, Long Island, New York, is hiring a data scientist. The job posting is attached. They are looking for someone interested in data-analysis applied specifically to science problems. So, this could be a computer scientist with an interest in science, or some kind of Ph.D. scientist with strong programming interests. This is with the Center for Functional Nanomaterials. The website is www.bnl.gov/cfn/jobs (search for Job ID 953) --Klaus

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Call for Papers: Graph Drawing and Network Visualization GD 2017
by Fabrizio Frati 27 Apr '17

27 Apr '17

=========================================================================== 2nd Call for Papers GD 2017 25th International Symposium on Graph Drawing and Network Visualization September 25-27, 2017 - Boston, MA, U.S.A. http://graphdrawing.org/gd2017 =========================================================================== PDF version: https://gd2017.ccis.northeastern.edu/files/2017/02/GD2017-CFP.pdf =========================================================================== Graph Drawing is concerned with the geometric representation of graphs and constitutes the algorithmic core of Network Visualization. Graph Drawing and Network Visualization are motivated by applications where it is crucial to visually analyze and interact with relational datasets. Examples of such application areas include data science, social sciences, Web computing, information systems, biology, geography, business intelligence, information security and software engineering. GD has been the main annual event in this area for more than 20 years. Its focus is on combinatorial and algorithmic aspects of graph drawing as well as the design of network visualization systems and interfaces. GD 2017 will take place September 25-27, 2017 at the Northeastern University in Boston, Massachusetts, USA. Researchers and practitioners working on any aspects of graph drawing and network visualization are invited to contribute papers and posters and to participate in the symposium and the graph drawing contest. PAPERS ------ We invite authors to submit papers describing original research of theoretical or practical significance to graph drawing and network visualization. Regular papers must be submitted explicitly to one of two distinct tracks. Papers submitted to one track will not compete with papers submitted to the other track. Track 1: Combinatorial and algorithmic aspects ---------------------------------------------- This track is mainly devoted to fundamental graph drawing advances, such as combinatorial aspects and algorithm design. The range of topics for this track includes (but is not limited to): • Design and analysis of graph drawing algorithms • Geometric graph theory • Geometric computing • Planarity and topological graph theory • Optimization on graphs Track 2: Experimental, applied, and network visualization aspects ----------------------------------------------------------------- This track is mainly devoted to the practical aspects of graph drawing, such as the development of network visualization systems and interfaces in different application areas. The range of topics for this track includes (but is not limited to): • Visualization of graphs and networks in real world applications, including big data • Engineering of network visualization algorithms and systems • Experimental results in graph theory and algorithms • Benchmarks and experimental studies of network visualization systems and user interfaces • Cognitive studies on graph drawing readability and user interaction • Interfaces and methods for interacting with graphs Short papers ------------ In addition to the above two tracks, there will be a separate category for short papers, describing theoretical or applied contributions of shorter length. Papers in this category will be assigned a shorter time for presentation during the conference. Demos ----- Authors of applied papers will have the opportunity to show a demo of their software/system during the poster session. Submission format ----------------- All submissions must be formatted using the LaTeX style file for the conference series Lecture Notes in Computer Science (LNCS) provided by Springer. The default margins and fonts must not be modified; in particular, the use of packages such as times.sty is not allowed. Submissions that do not comply with this format risk rejection without consideration of their merits. The length of regular papers is limited to 12 pages (excluding references), while the length of short papers is limited to 6 pages (excluding references). The claims of the paper should be fully substantiated, including full proofs or appropriate experimental data. If this information does not fit within the page limits, the authors should include it in a clearly marked appendix, whose length is not constrained and which the reviewers may read at their own discretion. POSTERS ------- Submissions of posters on graph drawing, network visualization, and related areas are solicited. The poster session will provide a forum for the communication of late-breaking research results (which may also appear elsewhere) to the GD community. Authors of posters should prepare an abstract (up to 2 pages in the LNCS style) that must be submitted together with the poster itself. CONTEST ------- Details about the traditional Graph Drawing Contest held at the conference will be provided on the conference Web site. PUBLICATION ----------- All accepted papers (including the two-page poster abstracts) will appear in the conference proceedings, published by Springer in the Lecture Notes in Computer Science (LNCS) series. Twelve pages (excluding references) will be allocated for regular papers and six pages (excluding references) for short papers. The LNCS proceedings will be made freely accessible to the GD community upon publication and openly accessible to anyone after four years. Authors will be required to submit their accepted papers to the arXiv repository, in order to provide immediate and unrestricted open access to them. The self-archived arXiv papers shall consist of an identical copy of the LNCS proceedings plus an optional clearly marked appendix, possibly containing a long version of the entire paper or proofs that have been omitted from the main text. Subsequent submissions of different versions of the paper to the arXiv (known as arXiv ``replacements’’) are allowed. Upon submission of the camera-ready version of an accepted paper, the authors will be required to specify the arXiv identifier associated with the paper for inclusion in a conference index, which will be also published in the ArXiv repository. Failure to comply with these guidelines will impede the publication of the paper. Each paper must be presented at the conference by an author (baring unforeseen circumstances), otherwise the paper will not be included in the proceedings. Should any visa restriction prevent an author from attending the conference and presenting a paper, he/she will be given ways to participate and give the talk via electronic means. Selected papers from both tracks will be invited for submission to a special issue of the Journal of Graph Algorithms and Applications (JGAA). The authors of the best paper in Track 2 will be invited to submit a substantially extended and enhanced version of their work to IEEE Transactions on Visualization and Computer Graphics (TVCG). AWARDS ------ For each of the two tracks, the Program Committee of GD 2017 will give a Best Paper Award. In addition, to recognize the effort of participants to present their work and to prepare their posters in a clear and elegant way, there will be a Best Presentation Award and a Best Poster Award voted on by the GD 2017 attendees. IMPORTANT DATES --------------- • Paper submission deadline: June 11 (23:59 PDT) – Updates possible until June 13 (23:59 PDT) • Notification of paper acceptance: July 28 • Poster submission deadline August 17 (23:59 PDT) • Notification of poster acceptance August 28 • Final versions due September 3 • Contest submission deadline September 13 • Symposium September 25-27 INVITED SPEAKERS ---------------- Timothy M. Chan, University of Illinois at Urbana-Champaign, USA Alessandro Vespignani, Northeastern University, US PROGRAM COMMITTEE ----------------- Daniel Archambault, Swansea University, GB Benjamin Bach, University of Edinburgh, GB Fabian Beck, Universität Duisburg-Essen, DE Michael Bekos, Universität Tübingen, DE Therese Biedl, University of Waterloo, CA Giordano Da Lozzo, UC Irvine, US Vida Dujmovic, University of Ottawa, CA Stephane Durocher, University of Manitoba, CA Tim Dwyer, Monash University, AU Fabrizio Frati (co-chair), Università Roma Tre, IT Martin Gronemann, Universität zu Köln, DE John Alexis Guerra Gómez, Universidad de los Andes, CO Michael Hoffmann, ETH Zürich, CH Yifan Hu, Yahoo Research, US Takayuki Itoh, Ochanomizu University, JP Anna Lubiw, University of Waterloo, CA Kwan-Liu Ma (co-chair), UC Davis, US Fabrizio Montecchiani, Università degli Studi di Perugia, IT Martin Nöllenburg, Technische Universität Wien, AT Arnaud Sallaberry, LIRMM, FR Andrew Suk, University of Illinois at Chicago, US Antonios Symvonis, National Technical University of Athens, GR Ioannis Tollis, University of Crete, GR Csaba Tóth, California State University Northridge, US Alexander Wolff, Universität Würzburg, DE Jian Zhao, FX Palo Alto Laboratory, US ORGANIZING COMMITTEE -------------------- Cody Dunne (co-chair), Northeastern University, US Alan Keahey (co-chair), Conversant, US CONTEST COMMITTEE ----------------- Philipp Kindermann, Universität Würzburg, DE Maarten Löffler (chair), Utrecht University, NL Ignaz Rutter, Karlsruhe Institute of Technology, DE

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