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ACM IUI 2019: Conference program online, early registration deadline on Feb 8th
by Axel Soto 07 Feb '19

07 Feb '19

ACM Conference on Intelligent User Interfaces (IUI 2019) March 16-20 Los Angeles, USA ACM IUI 2019 (https://iui.acm.org/2019/index.html) is the 24th annual meeting of the intelligent interfaces community and serves as a premier international forum for reporting outstanding research and development on intelligent user interfaces. ACM IUI is where the Human-Computer Interaction (HCI) community meets the Artificial Intelligence (AI) community. The program for this year's conference can be found online: https://iui.acm.org/2019/program.html . You can also found information about the two panels to be held: https://iui.acm.org/2019/panel.html Registration is open, please register and book your hotel room as soon as possible (last year, registration was sold out one month in advance!). Early registration deadline is tomorrow. This year we have two registration options. Main conference+workshop: Main conference+workshop registration includes the main conference from March 16 to March 20, 2019, with keynotes, paper presentations, posters, demos, workshops, a reception, and a banquet. Workshop only: Workshops will be on March 20, 2019. Registration dates: - Early registration (until Feb 8th) - Late registration (until March 15) - Onsite (after March 15) Please visit https://iui.acm.org/2019/registration.html for more details. Also information on accommodation can be found at: https://iui.acm.org/2019/accomodation.html

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InfoVis tools survey: what factors affect you when selecting a software
by Ahmed Omran 05 Feb '19

05 Feb '19

Number of Software tools in Information Visualization is sky rocketing. End-users have different factors that affect their decision to select a software tool and how it will meet their requirements. This questionnaire and Responses will help to thorough understand factors that affect non-technical people and end users when selecting Information Visualization software tool. These will be the main input to a new model that can categorize Information Visualization tools. Consequently, end users will get list of candidate tools that meet their visualization requirement. https://goo.gl/forms/nr9EatyDRNh4Hon43 All questions are direct and clear, though we ask you to try to answer each of them as best as you can. This work is under supervision of researchers at the University of Kadir Has/ Turkey. If you have questions or comments, please contact Mr. Omran (20151708049@stu. khas.edu.tr), Dr. Yetkin (fatih.yetkin(a)khas.edu.tr) Thanks! On Tue, Feb 5, 2019, 1:00 PM <infovis-request(a)infovis.org wrote: > Send Infovis mailing list submissions to > infovis(a)infovis.org > > To subscribe or unsubscribe via the World Wide Web, visit > https://www.infovis.org/mailman/listinfo/infovis > or, via email, send a message with subject or body 'help' to > infovis-request(a)infovis.org > > You can reach the person managing the list at > infovis-owner(a)infovis.org > > When replying, please edit your Subject line so it is more specific > than "Re: Contents of Infovis digest..." > > > Today's Topics: > > 1. Deadline extended to 1 Apr 2019 - CFP: IEEE CG&A Special > Issue on "Provenance and Logging for Sense Making" (Kai Xu) > > > ---------------------------------------------------------------------- > > Message: 1 > Date: Mon, 4 Feb 2019 17:22:54 +0000 > From: Kai Xu <K.Xu(a)mdx.ac.uk> > To: "chi-Announcements(a)acm.org" <chi-Announcements(a)acm.org>, > "ieee_vis(a)listserv.uni-tuebingen.de" > <ieee_vis(a)listserv.uni-tuebingen.de>, "infovis(a)infovis.org" > <infovis(a)infovis.org> > Cc: Melanie Tory <mtory(a)tableau.com>, Jean-Daniel Fekete > <Jean-Daniel.Fekete(a)inria.fr>, "T.J. Jankun-Kelly" <tjk(a)acm.org> > Subject: [Infovis] Deadline extended to 1 Apr 2019 - CFP: IEEE CG&A > Special Issue on "Provenance and Logging for Sense Making" > Message-ID: <62DE8865-BCEA-498A-963B-9621592DF144(a)mdx.ac.uk> > Content-Type: text/plain; charset="utf-8" > > Hi All, > > Just a quick note that the special issue deadline is now extended to 1 > April 2019 (it was 1 Mach 2019). > > Regards, > > Guest Editors > Kai Xu (k.xu(a)mdx.ac.uk) Middlesex University > Melanie Tory (mtory(a)tableau.com) Tableau Research > T.J. Jankun-Kelly (tjk(a)acm.org) Mississippi State University > Jean-Daniel Fekete (Jean-Daniel.Fekete(a)inria.fr) INRIA Unit? de > Recherche Saclay > > > On 18 Jan 2019, at 23:25, Kai Xu <K.Xu(a)mdx.ac.uk> wrote: > > CFP: IEEE CG&A Special Issue on "Provenance and Logging for Sense Making" > > Submission: 1 April 2019 > Publication: November/December 2019 > > > https://publications.computer.org/cga/2018/10/02/special-issue-provenance-l… > > Sense making is one of the biggest challenges in data analysis faced by > both the industry and the research community. It involves understanding the > data and uncovering its model, generating a hypothesis, selecting analysis > methods, creating novel solutions, designing evaluation, and also critical > thinking and learning wherever needed. The research and development for > such sense making tasks lags far behind the fast-changing user needs. As a > result, sense making is often performed manually and the limited human > cognition capability becomes the bottleneck of sense making in data > analysis and decision making. > > A recent advance in sense making research is the capture, visualization, > and analysis of provenance information. Provenance is the history and > context of sense making, including the data/analysis used and the users? > critical thinking process. It has been shown that provenance can > effectively support many sense making tasks. For instance, provenance can > provide an overview of what has been examined and reveal gaps such as > unexplored information or solution possibilities. Besides, provenance can > support collaborative sense making and communication by sharing the rich > context of the sense making process. > > Besides data analysis and decision making, provenance has been studied in > many other fields, sometimes under different names, for different types of > sense making. For example, the Human-Computer Interaction community relies > on the analysis of logging to understand user behaviors and intentions; the > WWW and database community has been working on data lineage to understand > uncertainty and trustworthiness; and finally, reproducible science heavily > relies on provenance to improve the reliability and efficiency of > scientific research. > > For this special issue, we are soliciting papers that describe innovative > research, design, system/tools, and viewpoints regarding the collection, > analysis, and summarization of provenance information to support the design > and evaluation of novel techniques for sense making across different > application domains: > > ? Use cases of provenance and logging information, such as: > ? Supporting sense making; > ? Understanding user sense making activities and/or evaluation of > sense making tools; > ? Supporting collaborative sense making; > ? Providing sense making transparency and reproducibility > ? Research related to the challenges in capturing the required provenance > information, such as: > ? The complex provenance information required for different use > cases; > ? Automatic capture of high-level provenance such as human > thinking and reasoning; > ? Software architecture for provenance capture for both new and > existing systems. > ? Research related to the analysis and visualization of provenance data, > such as: > ? Visualization and summarization of provenance information; > ? Machine learning and Nature Language Processing techniques that > can help analysis of provenance data. > ? The ethical and privacy implications of the collection, storage, and > analysis of provenance data and their impact on the design of the > techniques and software. > > We are aware that the deadline is close. Please contact Kai ( > k.xu(a)mdx.ac.uk) if you would like to make a submission but may not meet > the deadline. > > Guest Editors > Kai Xu (k.xu(a)mdx.ac.uk) Middlesex University > Melanie Tory (mtory(a)tableau.com) Tableau Research > T.J. Jankun-Kelly (tjk(a)acm.org) Mississippi State University > Jean-Daniel Fekete (Jean-Daniel.Fekete(a)inria.fr) INRIA Unit? de > Recherche Saclay > > > > > > ------------------------------ > > Subject: Digest Footer > > _______________________________________________ > Infovis mailing list > Infovis(a)infovis.org > https://www.infovis.org/mailman/listinfo/infovis > > *** > InfoVis Email Digest > > > Moderator: Stefano Foresti - stefano.foresti(a)utah.edu > > Supporting web site: http://www.infovis.org > > Posting address: infovis-digest(a)infovis.org > > List archives are available at http://www.infovis.org/pipermail/infovis/ > > > To SUBSCRIBE: > Visit http://www.infovis.org/mailman/listinfo/infovis > > -- or -- > Send mail to infovis-join(a)test.infovis.org with the subject (NOT BODY) > "subscribe infovis" and follow the instructions. > > To UNSUBSCRIBE: > Visit http://www.infovis.org/mailman/listinfo/infovis > > -- or -- > Send mail to infovis-leave(a)test.infovis.org with the subject (NOT BODY) > "unsubscribe infovis" and follow the instructions. > > Information accepted for inclusion in the digest will include: > research and development projects across academia and industry > > conference notices, book announcements & reviews, lectures > > interesting papers, web sites, videos > > requests for help on specific research problems > > employment and student opportunities > > commercial product announcements and descriptions > > ------------------------------ > > End of Infovis Digest, Vol 153, Issue 4 > *************************************** >

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Postdoctoral Position in the Visual Data Analysis Group at Washington University
by Alvitta Ottley 05 Feb '19

05 Feb '19

The Visual Data Analysis Group at Washington University <http://visualdata.wustl.edu/> is seeking a highly motivated postdoctoral fellow. Please forward to colleagues and student who might be interested. *Washington University in St. Louis **Computer Science & Engineering* Join the Visual Data Analysis Group Postdoctoral Fellows The Visual Data Analysis Group <http://visualdata.wustl.edu/> at Washington University is seeking a post-doctoral fellow to pursue research in the areas of Visualization, Human-Computer Interaction, and Machine Learning. The candidate will directly work with Dr. Alvitta Ottley and graduate students. The successful candidate will also work closely with collaborators at Boeing and the DOD on innovative research projects aimed at developing intelligent visualization systems to support the decision-making process better. *Current topics of interest include:* - Intelligent visualization tools - Modeling and prediction of user behavior (Applied Machine Learning) - Visualization for clinical decision support and risk communication - User-Adaptive visualization and personalization - Perception and cognition for visualization - Design Studies *Required Qualifications:* - Ph.D. in Computer Science or related field - Excellent written and oral communication skills - Proven ability to work independently and as part of a team - Experience with data visualization and/or machine learning - Strong Programming Skills *How to apply:* The position is available immediately, but start dates are flexible. Submit your CV and a one-page cover letter to *alvitta(a)wustl.edu <alvitta(a)wustl.edu>*. Best Regards, *Alvitta Ottley, Ph.D.* Assistant Professor of Computer Science and Engineering Assistant Professor of Psychological and Brain Sciences (Courtesy) Washington University in St. Louis alvitta(a)wustl.edu

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CFP: IEEE CG&A Special Issue on "Provenance and Logging for Sense Making"
by Kai Xu 04 Feb '19

04 Feb '19

CFP: IEEE CG&A Special Issue on "Provenance and Logging for Sense Making" Submission: 1 March 2019 Publication: November/December 2019 https://publications.computer.org/cga/2018/10/02/special-issue-provenance-l… Sense making is one of the biggest challenges in data analysis faced by both the industry and the research community. It involves understanding the data and uncovering its model, generating a hypothesis, selecting analysis methods, creating novel solutions, designing evaluation, and also critical thinking and learning wherever needed. The research and development for such sense making tasks lags far behind the fast-changing user needs. As a result, sense making is often performed manually and the limited human cognition capability becomes the bottleneck of sense making in data analysis and decision making. A recent advance in sense making research is the capture, visualization, and analysis of provenance information. Provenance is the history and context of sense making, including the data/analysis used and the users’ critical thinking process. It has been shown that provenance can effectively support many sense making tasks. For instance, provenance can provide an overview of what has been examined and reveal gaps such as unexplored information or solution possibilities. Besides, provenance can support collaborative sense making and communication by sharing the rich context of the sense making process. Besides data analysis and decision making, provenance has been studied in many other fields, sometimes under different names, for different types of sense making. For example, the Human-Computer Interaction community relies on the analysis of logging to understand user behaviors and intentions; the WWW and database community has been working on data lineage to understand uncertainty and trustworthiness; and finally, reproducible science heavily relies on provenance to improve the reliability and efficiency of scientific research. For this special issue, we are soliciting papers that describe innovative research, design, system/tools, and viewpoints regarding the collection, analysis, and summarization of provenance information to support the design and evaluation of novel techniques for sense making across different application domains: • Use cases of provenance and logging information, such as: • Supporting sense making; • Understanding user sense making activities and/or evaluation of sense making tools; • Supporting collaborative sense making; • Providing sense making transparency and reproducibility • Research related to the challenges in capturing the required provenance information, such as: • The complex provenance information required for different use cases; • Automatic capture of high-level provenance such as human thinking and reasoning; • Software architecture for provenance capture for both new and existing systems. • Research related to the analysis and visualization of provenance data, such as: • Visualization and summarization of provenance information; • Machine learning and Nature Language Processing techniques that can help analysis of provenance data. • The ethical and privacy implications of the collection, storage, and analysis of provenance data and their impact on the design of the techniques and software. We are aware that the deadline is close. Please contact Kai (k.xu(a)mdx.ac.uk) if you would like to make a submission but may not meet the deadline. Guest Editors Kai Xu (k.xu(a)mdx.ac.uk) Middlesex University Melanie Tory (mtory(a)tableau.com) Tableau Research T.J. Jankun-Kelly (tjk(a)acm.org) Mississippi State University Jean-Daniel Fekete (Jean-Daniel.Fekete(a)inria.fr) INRIA Unité de Recherche Saclay

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EuroVis'19 Short Papers CFP
by G.Elisabeta Marai 03 Feb '19

03 Feb '19

*** Apologies for cross-posting *** EG/VGTC EuroVis 2019 (June 3-7 2019, Porto, Portugal) CALL FOR SHORT PAPERS http://www.eurovis.org/short-papers/ Due: February 28, 2019 Notification: March 31, 2019 EuroVis 2019 features a short paper track to present late-breaking visualization research results, work in progress, and follow-up extensions or evaluations of existing methods. All accepted short papers (4 pages) will be presented orally at the conference. Please submit your work to the Short Papers program! A EuroVis short paper describes a more focused and concise research contribution and is likely to have a smaller — yet still significant — scope of contribution than a full paper. Short papers draw from the same paper types as full papers, as well as the same list of suggested topics. For detailed submission instructions, please see: http://www.eurovis.org/short-papers/ The Short Papers Chairs, Jimmy Johannsen, Filip Sadlo, Liz Marai -- Liz -- G. Elisabeta Marai Associate Professor of Computer Science Electronic Visualization Laboratory University of Illinois at Chicago http://evl.uic.edu/marai

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From Skala - REMINDER-EXTENSION - Call for Papers - 27. WSCG 2019 Conf. on Graphics, Visualization & Vision
by Prof. Ing. Vaclav Skala, CSc. 02 Feb '19

02 Feb '19

From Skala - REMINDER - EXTENSION - Call for Papers - 27. WSCG 2019 Conf. on Computer Graphics, Visualization & Computer Vision >> SUBMISSION EXTENDED DATE March 10, 2019 (EXTENDED) see details at WSCG 2019 WEB pages - http://www.wscg.cz WSCG 2019 (held annually at Pilsen [Plzen] - the CITY of BEER - since 1992) --------------- 27. Int. Conf. on Computer Graphics, Visualization and Computer Vision 2019 http://www.wscg.eu – main page of WSCG- access to WSCG digital repository http://www.wscg.cz – WSCG 2019 page When: May 27 – 31, 2019 Where: Primavera Congress Center, Pilsen [Plzen] (the City of Beer), close to Prague, Czech Republic approx. 70 mins. from the Prague Airport by public transport Proceedings will be published in Computer Science Research Notes (ISSN 2464-4617). The best selected papers will be published in the Journal of WSCG (ISSN 1213-6972). Papers will be published with DOI >> "Pay to publish" strategy submission is NOT acceptable. << >> At least one author has to present the paper at the conference. << >> Proceedings will be made after the conference << Recent publications available via http://wscg.zcu.cz/DL/wscg_DL.htm - repository since 1992. Conference organizer & Chair --------------------- Prof. Vaclav Skala Contact: http://www.VaclavSkala.eu, skala(a)kiv.zcu.cz subject: WSCG 2019 c/o University of West Bohemia, Faculty of Applied Sciences Dept. of Computer Science and Engineering, Univerzitni 8, CZ 30614, Plzen, Czech Republic ---------------- sent via: infovis(a)infovis.org

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9th International Visualization in TRANSPORTATION Symposium
by Catherine Plaisant 31 Jan '19

31 Jan '19

Recommending. This is an excellent opportunity to meet colleagues but also practitioners who can put your research to real use. 9th International Visualization in Transportation Symposium November 5-6, 2019 National Academy of Sciences Washington, DC Organized by Transportation Research Board Sponsored by Standing Committee on Visualization in Transportation TRB (http://www.trb.org an organization of the US National Academies) is sponsoring the 9th International Visualization in Transportation Symposium: Insights, Discovery, & Communication on November 4th and 5th in Washington, D.C. The 2019 symposium will focus on the many ways visualization can dramatically influence communication, problem solving, decision making, and our ability to discover new insights into the world around us. This symposium will explore the opportunities and challenges of visualization in the diverse transportation industry while presenting examples of how visualization is transforming the way we work today. Call for abstracts: http://onlinepubs.trb.org/onlinepubs/conferences/2019/visualization/Callfor… Submissions go here: https://s.zoomerang.com/r/RZ7RPV7 Registration: http://www.cvent.com/events/9th-international-visualization-in-transportati…

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Postdoc position on Visualization for "Trust in Human-Machine Partnership" - Application deadline February 11, 2019
by Abdul Rahman, Alfie 30 Jan '19

30 Jan '19

Dear all, We have a PostDoc position available for the new EPSRC/UKRI project “Trust in Human-Machine Partnership” on the topic of Visualization expanding to Explainable AI, AI Planning, Computational Argumentation, Provenance, HCI, Software Infrastructure. Positions are for 2 or 3 years and are open also to non-EU candidates who need a visa. Closing date: February 11th. More details below and here: https://nms.kcl.ac.uk/daniele.magazzeni/positions.html PostDoc positions on the project Trust in Human-Machine Partnership THuMP: Trust in Human-Machine Partnership is a multi-disciplinary 3-year project, with the ambitious goal of advancing the state-of-the-art in trustworthy human-AI decision-support systems. ThUMP will address the technical challenges involved in creating explainable AI (XAI) systems, with a focus on Explainable Planning and Computational Argumentation, so that people using the system can better understand the rationale behind and trust suggestions made by an AI system. This project is conducted in collaboration with three project partners: Save the Children and Schlumberger, which provide use cases for the project, and the law firm Hogan Lovells, which will cooperate in considering legal implications of enhancing machines with transparency and the ability to explain. 1 PostDoc will be responsible for conducting research around decision support in human-machine teams, particularly for resource allocation. Tasks will involve building software infrastructure for the project, developing a prototype interface for communicating with users, designing and conducting experiments with human subjects based on the use cases that will be co-created with the project partners, with an emphasis on visual analytics for explainable AI in the context of resource allocation in critical domains (Apply here!). For any queries you can contact Dr. Rita Borgo rita.borgo(a)kcl.ac.uk Dr. Daniele Magazzeni daniele.magazzeni(a)kcl.ac.uk

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IEEE VIS 2019 - Call for Participation: Papers; Workshops; Doctoral Colloquium; VIS Restructuring News
by Call for Papers - VGTC 28 Jan '19

28 Jan '19

IEEE VIS 2019 ============ http://ieeevis.org/ Oct 20-25 2019, Vancouver, Canada IEEE VIS 2019 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 visualization tools, techniques, and technology. We invite you to participate in IEEE Visual Analytics Science and Technology (VAST), IEEE Information Visualization (InfoVis), IEEE Scientific Visualization (SciVis), as well as a wide range of associated events. Join us this October in stunning Vancouver, British Columbia to share your research, insights, experience, and enthusiasm and be part of the visualization movement! ============ FULL PAPERS ============ Paper abstracts submission (mandatory): March 21, 2019 Paper submission: March 31, 2019 We solicit high quality papers in all areas of visualization including visual analytics, information visualization, and scientific visualization in three tracks. For more information, visit: Overall papers CFP: http://ieeevis.org/year/2019/info/call-participation/call-for-participation Topics and paper types for each individual track: 14th IEEE Visual Analytics Science & Technology Conference (VAST): http://ieeevis.org/year/2019/info/call-participation/vast-paper-types 25th IEEE Information Visualization Conference (InfoVis): http://ieeevis.org/year/2019/info/call-participation/infovis-paper-types 30th IEEE Scientific Visualization Conference (SciVis): http://ieeevis.org/year/2019/info/call-participation/scivis-paper-types ============ WORKSHOPS ============ Submission deadline: Feb 15, 2019 We solicit workshops related to all areas of visualization including visual analytics, information visualization, and scientific visualization. The workshops venue at IEEE VIS provides an informal and interactive setting for participants to come together and discuss advanced technical topics in visualization, involve experts in the field, disseminate work in progress, and promote new ideas. Submissions consist of a four-page outline of your proposed workshop. For details, visit http://ieeevis.org/year/2019/info/call-participation/workshops Contact: workshops(a)ieeevis.org =============== Doctoral Colloquium =============== Submission deadline: May 22, 2019 The doctoral colloquium is a forum for PhD Students to present their proposed dissertation work and receive feedback from leading senior visualization researchers. We invite contributions from the visual analytics, information visualization, and scientific visualization student communities. The DC call is open to all Ph.D. students — regardless of whether they are presenting research work at the main conference or not. Preference will be given to students who will gain most from the experience, meaning students who are in the process of formulating their dissertation topic or who have just formulated a dissertation topic. For details, visit http://ieeevis.org/year/2019/info/call-participation/doctoral-colloquium Contact: doctoral_coll(a)ieeevis.org =============== VIS Restructuring News: Today's Topic: “Revamped Call-for-Participation” =============== For new members of the IEEE VIS community, the differences between the three main conferences (IEEE VAST, IEEE InfoVis, and IEEE SciVis) can be a bit overwhelming. With that in mind, this year's Papers Chairs have been hard at work aligning the calls for participation for the three conferences and making it easier to choose where to submit your work. A few big changes for 2019 include: 1. We have added more standardized language across all three conference calls, making it easier for authors to compare the calls and decide where to submit their work. 2. All three conference calls will include new and consistent guidelines for open-publication and open-data practices. 3. Authors who are uncertain about which conference to submit to will now have the option of deferring that choice to the conference papers chairs, who can direct the paper to the pool of reviewers who are best-suited to evaluate it. This year, we will also debut a new unified VIS Short Papers track which will accept late-breaking and smaller-scale contributions from across the visualization spectrum (no need to specify VAST, InfoVis, or SciVis). ============ LOCATION ============ The conference will be held in the Vancouver Convention Centre <https://www.vancouverconventioncentre.com/> at Canada Place in Vancouver, British Columbia, Canada. =========== COMMITTEE =========== VIS 2019 GENERAL CHAIR Alex Endert, Georgia Institute of Technology Brian Fisher, Simon Fraser University Wesley Willett, University of Calgary VIS 2019 PROGRAM CHAIR Gautam Chaudhary, Alcon VIS 2019 PAPER CHAIRS Remco Chang, Tufts University (VAST) Daniel Keim, University of Konstanz (VAST) Ross Maciejewski, Arizona State University (VAST) Petra Isenberg, Inria (InfoVis) Miriah Meyer, University of Utah (InfoVis) Jo Wood, City, University of London (InfoVis) Gunther Weber, Lawrence Berkeley National Laboratory (SciVis) Issei Fujishiro, Keio University (SciVis) Daniel Weiskopf, University of Stuttgart (SciVis) Peter Lindstrom, Lawrence Berkeley National Laboratory (SciVis) VIS 2019 SHORT PAPER CHAIRS Jing Yang, University of North Carolina at Charlotte Fanny Chevalier, University of Toronto Roxana Bujack, Los Alamos National Laboratory Luis Gustavo Nonato, Universidade de São Paulo VIS 2019 WORKSHOPS CHAIRS Adam Perer, Carnegie Mellon University (VAST) Anastasia Bezerianos, University of Paris-Sud (InfoVis) Chaoli Wang, University of Notre Dame (SciVis) Natalia Andrienko, Fraunhofer Institute IAIS and City, University of London Follow us on Twitter: https://twitter.com/ieeevis Facebook: https://www.facebook.com/ieeevis

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Call for Macroscope Tools for the Places & Spaces: Mapping Science Exhibit (2019) - Deadline is March 1, 2019
by Borner, Katy 28 Jan '19

28 Jan '19

Dear all, we are seeking engaging, relevant, interactive data visualizations of science and technology developments that help people make smarter decisions in their personal and professional lives. The Call for Submissions has been posted at scimaps.org/call<http://l.facebook.com/l.php?u=http%3A%2F%2Fscimaps.org%2Fcall&h=DAQGTzRBrAQ…> and we welcome your help in spreading the word. This year’s submissions are due by March 1, 2019. More information on maps and macroscopes included in the exhibit can be found at http://scimaps.org/iteration and http://scimaps.org/iteration/macroscopes interviews with select map and macroscope makers can be found at http://scimaps.org/mapmakers.html. The exhibit currently features 100 framed maps, 16 macroscopes, an award-winning short film, touch screen interactives, and sculptural elements created by more than 250 leading experts in the natural, physical, and social sciences, visual arts, and the humanities. It has been displayed in various formats in 28 countries on six continents and exhibit materials are available in five languages. Thank you and kind regards, Katy Bӧrner & Lisel Record scimaps.org<http://www.scimaps.org/> About the Places & Spaces exhibition: Drawing from across cultures and across scholarly disciplines, Places & Spaces: Mapping Science demonstrates the power of maps to address vital questions about the contours and content of human knowledge. An interdisciplinary and international advisory board chose each one of the works in the Places & Spaces: Mapping Science exhibit as an outstanding example of how visualization can bring patterns in scientific data into focus. The exhibit is curated by the Cyberinfrastructure for Network Science Center at Indiana University. The exhibit has been on display at over 350 venues in 28 countries on 6 continents. It showcases the work of more than 250 mapmakers that hail from 17 different countries. For further information, please visit our website at scimaps.org<http://scimaps.org>. About the Cyberinfrastructure for Network Science Center (CNS): CNS is a research center at Indiana University’s School of Informatics, Computing, and Engineering in Bloomington, Indiana (http://cns.iu.edu<http://cns.iu.edu/>). For more than 20 years, CNS has played a leading role in the field of data visualization, developing open source tools for the creation of data visualizations, offering the IVMOOC, co-organizing international workshops and conferences, and promoting network science and visualization through international initiatives. CNS’s research, teaching, and software development efforts benefit from long-term collaborations with colleagues in academia, government, and industry. -- Katy Borner Victor H. Yngve Distinguished Professor of Engineering and Information Science Director, CI for Network Science Center, http://cns.iu.edu Curator, Mapping Science exhibit, http://scimaps.org ISE and ILS, School of Informatics, Computing, and Engineering, Indiana University Luddy Hall 4018, 700 N. Woodlawn Ave, Bloomington, IN 47408, USA Phone: (812) 855-3256 Fax: -6166

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