Reflections on How Designers Design with Data
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Tuesday's Evening Fast Forward Session
Fast Forward Session on Tuesday Oct. 27 EVENING (for Wednesday's events and presentations) be in the Red Lacquer Ballroom by 17:55 sharp Title Authors Seat # InfoVis Session: Applications [08:30–10:10, Grand] Visual Mementos: Reflecting Memories with Personal Alice Thudt, Dominikus Baur, Samuel Huron, Sheelagh - Data Carpendale 1 Roeland Scheepens, Christophe Hurter, Huub van de - Visualization, Selection, and Analysis of Traffic Flows Wetering, Jarke van Wijk 2 - Visually Comparing Weather Features in Forecasts P. Samuel Quinan, Miriah Meyer 3 Hendrik Strobelt, Bilal Alsallakh, Joseph Botros, Brant - Vials: Visualizing Alternative Splicing of Genes Peterson, Mark Borowsky, Hanspeter Pfister, Alexander 4 Lex TimeSpan: Using Visualization to Explore Temporal Mona Hosseinkhani Loorak, Charles Perin, Noreen - Multidimensional Data of Stroke Patients Kamal, Michael Hill, Sheelagh Carpendale 5 SciVis Session: Tasks and Applications [08:30–10:10, State] A Classification of User Tasks in Visual Analysis of Bireswar Laha, Doug Bowman, David Laidlaw, John - Volume Data Socha 6 Using Maximum Topology Matching to Explore Jorge Poco, Harish Doraiswamy, Marian Talbert, Jeffrey - Differences in Species Distribution Models Morisette, Claudio Silva 7 Visual Verification of Space Weather Ensemble Alexander Bock, Asher Pembroke, M. Leila Mays, Lutz - Simulations Rastaetter, Anders Ynnerman, Timo Ropinski 8 A Visual Voting Framework for Weather Forecast Hongsen Liao, Yingcai Wu, Li Chen, Thomas M. Hamill, - Calibration Yunhai Wang, Kan Dai, Hui Zhang, Wei -
Scientific Visualization
Report from Dagstuhl Seminar 11231 Scientific Visualization Edited by Min Chen1, Hans Hagen2, Charles D. Hansen3, and Arie Kaufman4 1 University of Oxford, GB, [email protected] 2 TU Kaiserslautern, DE, [email protected] 3 University of Utah, US, [email protected] 4 SUNY – Stony Brook, US, [email protected] Abstract This report documents the program and the outcomes of Dagstuhl Seminar 11231 “Scientific Visualization”. Seminar 05.–10. June, 2011 – www.dagstuhl.de/11231 1998 ACM Subject Classification I.3 Computer Graphics, I.4 Image Processing and Computer Vision, J.2 Physical Sciences and Engineering, J.3 Life and Medical Sciences Keywords and phrases Scientific Visualization, Biomedical Visualization, Integrated Multifield Visualization, Uncertainty Visualization, Scalable Visualization Digital Object Identifier 10.4230/DagRep.1.6.1 1 Executive Summary Min Chen Hans Hagen Charles D. Hansen Arie Kaufman License Creative Commons BY-NC-ND 3.0 Unported license © Min Chen, Hans Hagen, Charles D. Hansen, and Arie Kaufman Scientific Visualization (SV) is the transformation of abstract data, derived from observation or simulation, into readily comprehensible images, and has proven to play an indispensable part of the scientific discovery process in many fields of contemporary science. This seminar focused on the general field where applications influence basic research questions on one hand while basic research drives applications on the other. Reflecting the heterogeneous structure of Scientific Visualization and the currently unsolved problems in the field, this seminar dealt with key research problems and their solutions in the following subfields of scientific visualization: Biomedical Visualization: Biomedical visualization and imaging refers to the mechan- isms and techniques utilized to create and display images of the human body, organs or their components for clinical or research purposes. -
Visualization of Biomedical Data
Visualization of Biomedical Data Corresponding author: Seán I. O’Donoghue; email: [email protected] • Data61, Commonwealth Scientific and Industrial Research Organisation (CSIRO), Eveleigh NSW 2015, Australia • Genomics and Epigenetics Division, Garvan Institute of Medical Research, Sydney NSW 2010, Australia • School of Biotechnology and Biomolecular Sciences, UNSW, Kensington NSW 2033, Australia Benedetta Frida Baldi; email: [email protected] • Genomics and Epigenetics Division, Garvan Institute of Medical Research, Sydney NSW 2010, Australia Susan J Clark; email: [email protected] • Genomics and Epigenetics Division, Garvan Institute of Medical Research, Sydney NSW 2010, Australia Aaron E. Darling; email: [email protected] • The ithree institute, University of Technology Sydney, Ultimo NSW 2007, Australia James M. Hogan; email: [email protected] • School of Electrical Engineering and Computer Science, Queensland University of Technology, Brisbane QLD, 4000, Australia Sandeep Kaur; email: [email protected] • School of Computer Science and Engineering, UNSW, Kensington NSW 2033, Australia Lena Maier-Hein; email: [email protected] • Div. Computer Assisted Medical Interventions (CAMI), German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany Davis J. McCarthy; email: [email protected] • European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, CB10 1SD, Hinxton, Cambridge, UK • St. Vincent’s Institute of Medical Research, Fitzroy VIC 3065, Australia William -
Data Visualization by Nils Gehlenborg
Data Visualization Nils Gehlenborg ([email protected]) Center for Biomedical Informatics / Harvard Medical School Cancer Program / Broad Institute of MIT and Harvard ISMB/ECCB 2011 http://www.biovis.net Flyers at ISCB booth! Data Visualization / ISMB/ECCB 2011 / Nils Gehlenborg A good sketch is better than a long speech. Napoleon Bonaparte Data Visualization / ISMB/ECCB 2011 / Nils Gehlenborg Minard 1869 Napoleon’s March on Moscow Data Visualization / ISMB/ECCB 2011 / Nils Gehlenborg 4 I believe when I see it. Unknown Data Visualization / ISMB/ECCB 2011 / Nils Gehlenborg Anscombe 1973, The American Statistician Anscombe’s Quartet mean(X) = 9, var(X) = 11, mean(Y) = 7.5, var(Y) = 4.12, cor(X,Y) = 0.816, linear regression line Y = 3 + 0.5*X Data Visualization / ISMB/ECCB 2011 / Nils Gehlenborg 6 Anscombe 1973, The American Statistician Anscombe’s Quartet Data Visualization / ISMB/ECCB 2011 / Nils Gehlenborg 7 Exploration: Hypothesis Generation trends gaps outliers clusters - A large data set is given and the goal is to learn something about it. - Visualization is employed to perform pattern detection using the human visual system. - The goal is to generate hypotheses that can be tested with statistical methods or follow-up experiments. Data Visualization / ISMB/ECCB 2011 / Nils Gehlenborg 8 Visualization Use Cases Presentation Confirmation Exploration Data Visualization / ISMB/ECCB 2011 / Nils Gehlenborg 9 Definition The use of computer-supported, interactive, visual representations of data to amplify cognition. Stu Card, Jock Mackinlay & Ben Shneiderman Computer-based visualization systems provide visual representations of datasets intended to help people carry out some task more effectively.effectively. -
Pop-Out, Illusions, Interaction
Pop-Out, Illusions, Interaction DS 4200 FALL 2020 Prof. Cody Dunne NORTHEASTERN UNIVERSITY Slides and inspiration from Michelle Borkin, Krzysztof Gajos, Hanspeter Pfister, Miriah Meyer, Jonathan Schwabish, and David Sprague 1 CHECK-IN 2 PREVIOUSLY, ON DS 4200… 4 Color Vocabulary and Perceptual Ordering Darkness (Lightness) Saturation Hue ? ? Based on Slides by Miriah Meyer, Tamara Munzner 5 Color Deficiencies (Color Blindness) Based on Slides by Hanspeter Pfister, Maureen Stone 6 Check your images/colormaps for issues! http://www.vischeck.com/vischeck/vischeckImage.php https://www.color-blindness.com/coblis-color-blindness-simulator/ 7 Color Brewer http://colorbrewer2.org 8 Color Advice Summary Use a limited hue palette • Control color “pop out” with low-saturation colors • Avoid clutter from too many competing colors Use neutral backgrounds • Control impact of color • Minimize simultaneous contrast Use Color Brewer etc. for picking scales Don’t forget aesthetics! Based on Slides by Hanspeter Pfister, Maureen Stone 9 NOW, ON DS 4200… 10 POP-OUT EFFECTS 15 POP-OUT EFFECTS COLOR Healey, 2012 16 POP-OUT EFFECTS SHAPE Healey, 2012 17 POP-OUT EFFECTS “CONJUNCTION” (HARDER TO FIND RED CIRCLE!) Healey, 2012 18 POP-OUT EFFECTS MOTION Healey, 2012 19 POP-OUT EFFECTS Healey, 2012 20 POP-OUT EFFECTS Healey, 2012 21 Use these “popout” effects to help design effective visualizations! (E.g., draw viewer’s attention to main points, effective redundant encodings, etc.) Ware, VTFD 22 Discriminability and Separability The question of discriminability is: if you encode data using a particular visual channel, are the differences between items perceptible to the human as intended? Munzner, VAD 23 Textures easy hard Ware, VTFD 25 Textures: Interference Ware, VTFD 26 ILLUSIONS AND TRICKS 28 Visual Attention & Change Blindness 30 Visual Attention & Change Blindness Task: Identify the lumps/nodules in the patient’s lungs to look for cancer or abnormal growth. -
Eurovis 2019 Eurographics / IEEE VGTC Conference on Visualization 2019
EuroVis 2019 Eurographics / IEEE VGTC Conference on Visualization 2019 Porto, Portugal June 3 – 7, 2019 Organized by EUROGRAPHICS THE EUROPEAN ASSOCIATION FOR COMPUTER GRAPHICS IEEE Visualization and Graphics Technical Committee General Chairs Alfredo Ferreira – INESC-ID, Instituto Superior Técnico, Universidade de Lisboa Joaquim A. Jorge – INESC-ID, Instituto Superior Técnico, Universidade de Lisboa Full Papers Chairs Michael Gleicher – University of Wisconsin Ivan Viola – KAUST Heike Leitte – TU Kaiserslautern STARs Chairs Robert S. Laramee – Swansea University Steffen Oeltze – Dept. of Neurology, University of Magdeburg Michael Sedlmair – Jacobs University Short Papers Chairs Jimmy Johansson – Linköping University Filip Sadlo – Heidelberg University G. Elisabeta Marai – University of Illinois at Chicago Posters Chairs João Madeiras Pereira – Universidade de Lisboa Renata Raidou – TU Wien DOI: 10.1111/cgf.13725 https://www.eg.org https://diglib.eg.org Eurographics Conference on Visualization (EuroVis) 2019 Volume 38 (2019), Number 3 M. Gleicher, H. Leitte, and I. Viola (Guest Editors) Organizers and Sponsors Eurographics Conference on Visualization (EuroVis) 2019 Volume 38 (2019), Number 3 M. Gleicher, H. Leitte, and I. Viola (Guest Editors) Preface EuroVis 2019, the 21th Eurographics / IEEE VGTC Conference on Visualization, was held in Porto, Portugal, on June 3-7, 2019. The proceedings are published as a special issue of the Eurographics Computer Graphics Forum journal. The conference, which started in 1990 as the Eurographics Workshop on Visualization in Scientific Com- puting and was called VisSym after 1999, has been known as EuroVis since 2005. EuroVis attracts contributions that broadly cover the field of visualization. Topics include visualization techniques for spatial data, such as volumet- ric, tensor, and vector field datasets, and for non-spatial data, such as graphs, text, and high-dimensional datasets. -
Visualization and Exploration of Transcriptomics Data Nils Gehlenborg
Visualization and Exploration of Transcriptomics Data 05 The identifier 800 year identifier Nils Gehlenborg Sidney Sussex College To celebrate our 800 year history an adaptation of the core identifier has been commissioned. This should be used on communications in the time period up to and including 2009. The 800 year identifier consists of three elements: the shield, the University of Cambridge logotype and the 800 years wording. It should not be redrawn, digitally manipulated or altered. The elements should not be A dissertation submitted to the University of Cambridge used independently and their relationship should for the degree of Doctor of Philosophy remain consistent. The 800 year identifier must always be reproduced from a digital master reference. This is available in eps, jpeg and gif format. Please ensure the appropriate artwork format is used. File formats European Molecular Biology Laboratory, eps: all professionally printed applications European Bioinformatics Institute, jpeg: Microsoft programmes Wellcome Trust Genome Campus, gif: online usage Hinxton, Cambridge, CB10 1SD, Colour United Kingdom. The 800 year identifier only appears in the five colour variants shown on this page. Email: [email protected] Black, Red Pantone 032, Yellow Pantone 109 and white October 12, 2010 shield with black (or white name). Single colour black or white. Please try to avoid any other colour combinations. Pantone 032 R237 G41 B57 Pantone 109 R254 G209 B0 To Maureen. This dissertation is my own work and contains nothing which is the outcome of work done in collaboration with others, except as specified in the text and acknowledgements. This dissertation is not substantially the same as any I have submit- ted for a degree, diploma or other qualification at any other university, and no part has already been, or is currently being submitted for any degree, diploma or other qualification. -
Digital Scholarship Commons Presentation 09.24.14
A short introduction: Information visualizations in teaching & research Isabel Meirelles | [email protected] Associate Professor, Graphic Design, CAMD Digital Scholarship Commons NU Sept.24 Information design Infographics! Information visualization Data visualization Information design Infographics Graphical representations that aim at communicating information with the purpose to reveal patterns and relationships not known or not easily deduced without the aid of the visual presentation of information. ! Information visualization Data visualization “the use of computer-supported, interactive, visual representations of abstract data to amplify cognition” Card et al. : Readings in Information Visualization: Using Vision to Think Information From Latin informare to give form or shape to, from in into + formare to form, from forma a form or shape + -ation indicating a process or condition The Oxford American Thesaurus of Current English Information Definition* Definition information = well-formed and meaningful data *Weak definition. The strong definition includes the further condition of truthfulness. Luciano Floridi (2010): Information, A Very Short Introduction Information taxonomy by Floridi M. Chen & L. Floridi (2012): An Analysis of Information in Visualization in Synthese, Springer (historical) intermezzo Visual/diagrammatic representations over history 9th-ct., France: M. Capella, De nuptiis,. c. 1310, England: Table of the Ten Commandments Planetary diagrams from the De Lisle Psalter To increase working memory 1582: Giordano -
Steps to an Ecology of Networked Knowledge and Innovation Enabling New Forms of Collaboration Among Sciences, Engineering, Arts, and Design
Steps to an Ecology of Networked Knowledge and Innovation Enabling New Forms of Collaboration among Sciences, Engineering, Arts, and Design Roger F. Malina, Carol Strohecker, and Carol LaFayette on behalf of SEAD network contributors The MIT Press, Cambridge, Massachusetts and London, England Steps to an Ecology of Networked Knowledge and Innovation Enabling New Forms of Collaboration among Sciences, Engineering, Arts, and Design Roger F. Malina, Carol Strohecker, and Carol LaFayette on behalf of SEAD network contributors Cover image: “Map of Science Derived from Clickstream Data” (2009). Maps of science resulting from large-scale clickstream data provide a detailed, contemporary view of scientific activity and correct the under-representation of the social sciences and humanities that is commonly found in citation data. © Johan Bollen. Used with permission. Originally published in Bollen, J., H. Van de Sompel, A. Hagberg, L. Bettencourt, R. Chute, et al. (2009), “Clickstream Data Yields High-Resolution Maps of Science.” PLoS ONE 4 (3): e4803. doi: 10.1371/journal.pone.0004803. 3 This material is based on work supported by the National Science Foundation under Grant No. 1142510, IIS, Human-Centered Computing, “Collaborative Research: EAGER: Network for Science, Engineering, Arts and Design (NSEAD).” Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation. © 2015 ISAST Published under a Creative Commons Attribution-NonCommercial 4.0 International license (CC BY-NC 4.0) eISBN: 978-0-262-75863-5 CONTENTS Acknowledgments ......................................................................................i SEAD White Papers Committees ...............................................................ii Introduction ...............................................................................................1 1. SEAD White Papers Methodology ......................................................13 2. -
Particle-Based Sampling and Meshing of Surfaces in Multimaterial Volumes
Particle-Based Sampling and Meshing of Surfaces in Multimaterial Volumes The Harvard community has made this article openly available. Please share how this access benefits you. Your story matters Citation Meyer, Miriah, Ross Whitaker, Robert M. Kirby, Christian Ledergerber, and Hanspeter Pfister. 2008. Particle-based sampling and meshing of surfaces in multimaterial volumes. IEEE Transactions on Visualization and Computer Graphics 14(6): 1539-1546. Published Version doi:10.1109/TVCG.2008.154 Citable link http://nrs.harvard.edu/urn-3:HUL.InstRepos:4100251 Terms of Use This article was downloaded from Harvard University’s DASH repository, and is made available under the terms and conditions applicable to Open Access Policy Articles, as set forth at http:// nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of- use#OAP Particle-based Sampling and Meshing of Surfaces in Multimaterial Volumes Miriah Meyer, Ross Whitaker, Member, IEEE, Robert M. Kirby, Member, IEEE, Christian Ledergerber, and Hanspeter Pfister, Senior Member, IEEE Abstract— Methods that faithfully and robustly capture the geometry of complex material interfaces in labeled volume data are im- portant for generating realistic and accurate visualizations and simulations of real-world objects. The generation of such multimaterial models from measured data poses two unique challenges: first, the surfaces must be well-sampled with regular, efficient tessella- tions that are consistent across material boundaries; and second, the resulting meshes must respect the nonmanifold geometry of the multimaterial interfaces. This paper proposes a strategy for sampling and meshing multimaterial volumes using dynamic particle systems, including a novel, differentiable representation of the material junctions that allows the particle system to explicitly sam- ple corners, edges, and surfaces of material intersections. -
School of Architecture 2016–2017 School of Architecture School Of
BULLETIN OF YALE UNIVERSITY BULLETIN OF YALE BULLETIN OF YALE UNIVERSITY Periodicals postage paid New Haven ct 06520-8227 New Haven, Connecticut School of Architecture 2016–2017 School of Architecture 2016 –2017 BULLETIN OF YALE UNIVERSITY Series 112 Number 4 June 30, 2016 BULLETIN OF YALE UNIVERSITY Series 112 Number 4 June 30, 2016 (USPS 078-500) The University is committed to basing judgments concerning the admission, education, is published seventeen times a year (one time in May and October; three times in June and employment of individuals upon their qualifications and abilities and a∞rmatively and September; four times in July; five times in August) by Yale University, 2 Whitney seeks to attract to its faculty, sta≠, and student body qualified persons of diverse back- Avenue, New Haven CT 0651o. Periodicals postage paid at New Haven, Connecticut. grounds. In accordance with this policy and as delineated by federal and Connecticut law, Yale does not discriminate in admissions, educational programs, or employment against Postmaster: Send address changes to Bulletin of Yale University, any individual on account of that individual’s sex, race, color, religion, age, disability, PO Box 208227, New Haven CT 06520-8227 status as a protected veteran, or national or ethnic origin; nor does Yale discriminate on the basis of sexual orientation or gender identity or expression. Managing Editor: Kimberly M. Go≠-Crews University policy is committed to a∞rmative action under law in employment of Editor: Lesley K. Baier women, minority group members, individuals with disabilities, and protected veterans. PO Box 208230, New Haven CT 06520-8230 Inquiries concerning these policies may be referred to Valarie Stanley, Director of the O∞ce for Equal Opportunity Programs, 221 Whitney Avenue, 3rd Floor, 203.432.0849. -
New Faculty Members and Postdoctoral Fellows Spill the Beans
New faculty members and postdoctoral fellows spill the beans Alark Joshi ∗ Jeffrey Heer† Gordon L. Kindlmann‡ Miriah Meyer§ Yale University Stanford University University of Chicago Harvard University ABSTRACT • Strategically scheduling your interviews Applying for an academic position can be a daunting task. In this • Cultivating internal champions panel, we talk with a few new faculty members in the field of vi- sualization and find out more about the process. We share some • Planning and practicing ones job talk insights into how does one go about finding an academic position, what kind of material is required for the application packet, how do • Remembering to have fun with the interview process you prepare the material, how does one apply for the faculty posi- • Framing negotiation as enabling research success tion, what happens on the day of the job interview, what would new faculty members have wished they had known before they applied • Deciding whats right for you - An exercise in multi-objective and much more. optimization (?) With many universities facing budget cuts in this economy, the likelihood of new faculty positions opening up may be slim. We • And a good problem to have: the pain of rejecting offers discuss the wonderful alternative of taking up a postdoctoral posi- tion. Postdoctoral fellows on the panel will share their experiences Biosketch: and discuss what the position entails. Jeffrey Heer is a newly minted Assistant Professor of Com- puter Science at Stanford University, where he works on human- 1 INTRODUCTION computer interaction, visualization, and social computing. Heer’s For graduate students and postdoctoral fellows, academic careers research has produced novel visualization techniques for explor- always seem to be a challenging proposition.