VIS Best Paper Award 2024: • Entanglements for Visualization: Changing Research Outcomes through Feminist Theory: Derya Akbaba, Lauren Klein, Miriah Meyer • Aardvark: Composite Visualizations of Trees, Time-Series, and Images: Devin Lange, Robert L Judson-Torres, Thomas A Zangle, Alexander Lex • VisEval: A Benchmark for Data Visualization in the Era of Large Language Models: Nan Chen, Yuge Zhang, Jiahang Xu, Kan Ren, Yuqing Yang • VADIS: A Visual Analytics Pipeline for Dynamic Document Representation and Information Seeking: Rui Qiu, Yamei Tu, Po-Yin Yen, Han-Wei Shen • Rapid and Precise Topological Comparison with Merge Tree Neural Networks: Yu Qin,
Brittany Terese Fasy, Carola Wenk, Brian Summa 2023: • Affective Visualization Design: Leveraging the Emotional Impact of Data: Xingyu Lan, Yanqiu Wu, Nan Cao • Fast Compressed Segmentation Volumes for Scientific Visualization: Max Piochowiak, Carsten Dachsbacher • Swaying the Public? Impacts of Election Forecast Visualizations on Emotion, Trust, and Intention in the 2022 U.S. Midterms: Fumeng Yang, Mandi Cai, Chloe Rose Mortenson, Hoda Fakhari, Ayse Deniz Lokmanoglu, Jessica Hullman, Steven Franconeri, Nicholas Diakopoulos, Erik Nisbet, Matthew Kay • TimeSplines: Sketch-based Authoring of Flexible and Idiosyncratic Timelines: Anna Offenwanger, Matthew Brehmer, Fanny Chevalier, Theophanis Tsandilas • Visualization of Discontinuous Vector Field Topology: Egzon Miftari, Daniel Durstewitz, Filip Sadlo • Vortex Lens: Interactive Vortex Core Line Extraction using Observed Line Integral Convolution: Peter Rautek, Xingdi Zhang, Bernhard Woschizka, Thomas Theussl, Markus Hadwiger 2022: • Affective Learning Objectives for Communicative Visualizations: Elsie Lee-Robbins, Eytan Adar • Multiple Forecast Visualizations (MFVs): Trade-offs in Trust and Performance in Multiple COVID-19 Forecast Visualizations: Lace Padilla, Racquel Fygenson, Spencer C. Castro, Enrico Bertini • Uncertainty-Aware Multidimensional Scaling: David Hägele, Tim Krake, Daniel Weiskopf 2021: • Feature Curves and Surfaces of 3D Asymmetric Tensor Fields: Shih-Hsuan Hung, Yue Zhang, Harry Yeh, Eugene Zhang • IRVINE: Using Interactive Clustering and Labeling to Analyze Correlation Patterns: A Design Study from the Manufacturing of Electrical Engines: Joscha Eirich, Jakob Bonart, Dominik Jäckle, Michael Sedlmair, Ute Schmid, Kai Fischbach, Tobias Schreck, Jürgen Bernard • Perception! Immersion! Empowerment! Superpowers as Inspiration for Visualization: Wesley Willett, Bon Adriel Aseniero, Sheelagh Carpendale, Pierre Dragicevic, Yvonne Jansen, Lora Oehlberg, Petra Isenberg • Simultaneous Matrix Orderings for Graph Collections: Nathan van Beusekom, Wouter Meulemans, Bettina Speckmann 2020: • VAST • VATLD: A Visual Analytics System to Assess, Understand and Improve Traffic Light Detection: Liang Gou, Lincan Zou, Nanxiang Li, Michael Hofmann, Shekar Arvind Kumar, Axel Wendt, and Liu Ren • InfoVis • Visual Reasoning Strategies and Satisficing: How Uncertainty Visualization Design Impacts Effect Size Judgments and Decisions: Alex Kale, Matthew Kay, and Jessica Hullman • SciVis • Objective Observer-Relative Flow Visualization in Curved Spaces for Unsteady 2D Geophysical Flows: Peter Rautek, Matej Mlejnek, Johanna Beyer, Jakob Troidl, Hanspeter Pfister, Thomas Theussl, Markus Hadwiger 2019: • VAST • FlowSense: A Natural Language Interface for Visual Data Exploration within a Dataflow System: Bowen Yu, Claudio Silva • InfoVis • Data Changes Everything: Challenges and Opportunities in Data Visualization Design Handoff: Jagoda Walny, Christian Frisson, Mieka West, Doris Kosminsky, Søren Knudsen, Sheelagh Carpendale, Wesley Willett • SciVis • InSituNet: Deep Image Synthesis for Parameter Space Exploration of Ensemble Simulations: Wenbin He, Junpeng Wang, Hanqi Guo, Ko-Chih Wang, Han-Wei Shen, Mukund Raj, Youssef S. G. Nashed, Tom Peterka 2018: • VAST • TPFlow: Progressive Partition and Multidimensional Pattern Extraction for Large-Scale Spatio-Temporal Data Analysis, Dongyu Liu, Panpan Xu, Liu Ren • InfoVis • Formalizing Visualization Design Knowledge as Constraints: Actionable and Extensible Models in Draco, Dominik Moritz, Chenglong Wang, Greg L. Nelson, Halden Lin, Adam M. Smith, Bill Howe, Jeffrey Heer • SciVis • Deadeye: A Novel Preattentive Visualization Technique Based on Dichoptic Presentation Authors: Andrey Krekhov, Jens Krüger 2017: • VAST • Visualizing Dataflow Graphs of Deep Learning Models in TensorFlow, Kanit Wongsuphasawat, Daniel Smilkov, James Wexler, Jimbo Wilson, Dandelion Mané, Doug Fritz, Dilip Krishnan, Fernanda B. Viégas, and Martin Wattenberg • InfoVis • Modeling Color Difference for Visualization Design, Danielle Albers Szafir • SciVis • Globe Browsing: Contextualized Spatio-Temporal Planetary Surface Visualization, Karl Bladin, Emil Axelsson, Erik Broberg, Carter Emmart, Patric Ljung, Alexander Bock, and Anders Ynnerman 2016: • VAST • An Analysis of Machine- and Human-Analytics in Classification, Gary K.L. Tam, Vivek Kothari, Min Chen • InfoVis • Vega-Lite: A Grammar of Interactive Graphics, Arvind Satyanarayan, Dominik Moritz, Kanit Wongsuphasawat, and
Jeffrey Heer • SciVis • Jacobi Fiber Surfaces for Bivariate Reeb Space Computation, Julien Tierny and Hamish Carr 2015 • VAST • Reducing Snapshots to Points: A Visual Analytics Approach to Dynamic Network Exploration, Stef van den Elzen, Danny Holten, Jorik Blaas,
Jarke van Wijk • InfoVis • HOLA: Human-like Orthogonal Network Layout, Steve Kieffer, Tim Dwyer, Kim Marriott, Michael Wybrow • SciVis • Visualization-by-Sketching: An Artist’s Interface for Creating Multivariate Time-Varying Data, David Schroeder, Daniel Keefe 2014 • VAST • Supporting Communication and Coordination in Collaborative Sensemaking, Narges Mahyar,
Melanie Tory • InfoVis • Multivariate Network Exploration and Presentation: From Detail to Overview via Selections and Aggregations, Stef van den Elzen,
Jarke van Wijk • SciVis • Visualization of Brain Microstructure through Spherical Harmonics Illumination of High Fidelity Spatio-Angular Fields, Sujal Bista, Jiachen Zhou, Rao Gullapalli, Amitabh Varshney 2013 • VAST • A Partition-Based Framework for Building and Validating Regression Models, Thomas Muhlbacher, Harald Piringer • InfoVis • LineUp: Visual Analysis of Multi-Attribute Rankings, Samuel Gratzl, Alexander Lex, Nils Gehlenborg,
Hanspeter Pfister, Marc Streit • SciVis • Comparative Visual Analysis of Lagrangian Transport in CFD Ensembles, Mathias Hummel, Harald Obermaier, Christoph Garth, Kenneth I. Joy
Technical Achievement Award Past recipients: • 2024 -
Bongshin Lee,
Han-Wei Shen • 2023 -
Huamin Qu,
Silvia Miksch • 2022 -
Valerio Pascucci,
Shixia Liu • 2021 -
Daniel Weiskopf • 2020 -
Jean-Daniel Fekete • 2019 -
Eduard Gröller • 2018 -
Anders Ynnerman • 2017 -
Jeffrey Heer • 2016 -
David Ebert • 2015 -
Tamara Munzner • 2014 -
Claudio T. Silva • 2013 -
Kwan-Liu Ma • 2012 -
John Stasko • 2011 -
Daniel A. Keim • 2010 -
Hanspeter Pfister • 2009 -
Jock D. Mackinlay • 2008 -
David Laidlaw • 2007 -
Jarke van Wijk • 2006 -
Thomas Ertl • 2005 -
Charles D. Hansen • 2004 -
Amitabh Varshney Career Award To earn the IEEE
VGTC Visualization Career Award, an individual must demonstrate that their research and service has had broad impacts on the field over a long period of time. Since 2021 it is called Lifetime Achievement. Past recipients: • 2024 -
Hans-Christian Hege and
Min Chen • 2023 -
John Stasko • 2022 -
Colin Ware • 2021 -
Jarke van Wijk • 2020 -
Catherine Plaisant • 2019 -
Thomas Ertl • 2018 -
Sheelagh Carpendale • 2017 -
Charles D. Hansen • 2016 -
John C. Dill • 2015 -
Markus Gross • 2014 -
Kenneth Joy • 2013 -
Gregory M. Nielson • 2012 -
Ben Shneiderman • 2011 -
Frits Post • 2010 -
Christopher R. Johnson • 2009 -
Hans Hagen • 2008 -
Lawrence J. Rosenblum • 2007 -
Stuart Card • 2006 -
Pat Hanrahan • 2005 -
Arie Kaufman • 2004 -
Bill Lorensen ==References==