Thematic BackgroundVisualization as a tool for analysis, exploration and communication has become a driving force in the task of unravelling the complex urban fabrics that form our cities. Yet, there is a crucial need to bridge the gap between the flood of urban data and the capacity of decision makers to integrate that data into effective and informed decisions. This workshop series is looking to critically assess this notion and ask how data and data visualization can be used to serve and better understand or even organize urban processes, focusing on an explicitly “human-centric” perspective. This perspective should support and improve the understanding and the utilizations of data for all stakeholders - from governments and companies to citizens.
Workshop focusThe energy sector is seeing substantial technological and analytical enhancements enabling the delivery of smart systems via sensors, monitors and other digital technologies as well as improvements to predictions, forecasts and models throughout the industry. This emerging data is not only growing in volume, but in its complexity. This complexity increases as we draw connections with other urban infrastructures and incorporate populations. Visualization and visual analytics offer a vast array of opportunities for the energy domain and we are seeing a new era of ‘Energy Data Visualization’ emerging as a key topic of growing importance. With this workshop, we propose to bring together scientists, researchers and practitioners from the energy field to discuss the many challenges and goals in regard to Energy Data Visualization, with a specific focus on Energy Resilient Cities.
During the workshop, co-located with ACM e-Energy 2020 Conference (Melbourne, Australia, 23-26th June 2020), we would like to outline the specific field and therefore invite innovative ideas, design concepts, requirement analysis and work-in-progress in the following technical scope:
- Energy Visualization contexts e.g. smart cities / smart homes / smart buildings, energy policy and governance, power grids, net zero initiatives, energy consumers and analysis
- Energy Visualization challenges e.g. uncertainty visualization, spatio-temporal visualization, network visualization
- Use of Disruptive technologies e.g. open source, open analytics and open workflows, machine learning, AI, VR/XR, tangible interfaces
- Energy Data Concepts e.g. related to quantified self, citizen science, open data portals, open (data) standards, big data & real-time data challenges
- Human interaction & user-centric design e.g. co-creation design methods, visualization for decision support and decision making, evaluation methods, stakeholder- & requirement analysis, visualizations for experts vs. general public
Workshop formatDuring the workshop, participants will be given a brief introductory presentation by the organizers to outline the workshop scope, followed by a selection of case study presentations (chosen from the accepted papers). The rest of the workshop will consist of interactive activities, making use of creative design thinking techniques, to encourage participants to collaboratively try to refine the definition of the energy data visualization theme, through identifying our collective goals and challenges.
Submission of AbstractsWe are accepting: Short papers, up to 4 pages in 9-point ACM double-column format (i.e., excluding references) and unlimited number of pages for appendices and references, double-blind.
The submission must be in PDF format and be formatted according to the official ACM Proceedings format. Papers that do not meet the size and formatting requirements may not be reviewed. Word and LaTeX templates are available on the ACM Publications Website. Submission implies the willingness of at least one author to register and present the paper at the workshop.
Please submit Papers to: https://eenergy20cityvis.hotcrp.com
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- 30th April 2020 Submission Deadline
- TBA Author Notification
- TBA Camera-Ready Deadline
- 26th June, 2020 Workshop
ChairsThe EnergyVis Workshop is being led by members of Immersive Analytics Lab, one of the world leading research groups in immersive analytics and data visualization:
- Sarah Goodwin Monash University Melbourne
- Arnaud Prouzeau Monash University Melbourne
- Barrett Ens Monash University Melbourne
- Kody Anh Nguyen Monash University
Program CommitteeConfirmed so far...
- Almukhalfi, Hala Monash University
- Bartram, Lyn Simon Fraser University, British Columbia, Canada
- Bleisch, Susanne FHNW Northwestern Switzerland
- Delir Haghighi, Pari Monash University
- Fulda, Johanna Clir Renewables
- Godwin, Alex American University, Washington D.C, United States
- Gruchalla, Kenny National Renewable Energy Laboratory
- Lobo, Maria Jesus Ecole Nationale de l'Aviation Civile
- Meier, Sebastian Technologiestiftung Berlin, Germany
- Saldarriaga, Juan Francisco Columbia University
- Sharp, Darren Monash University
- Strengers, Yolande Monash University
- Turkay, Cagatay Warwick University
- Willet, Wesley University of Calgary
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