EnergyVis: Virtual Workshop on Urban Visualization focusing on Visualizing Energy Resilient Cities in conjunction with ACM e-Energy 2020 conference. Featuring short talks, guest speakers and interactive group discussions exploring the goals and challenges in this area.

26th June 2020 9:00-13:00 AEST (UTC+10) More timezones

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Thematic Background

Visualization 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 focus

The 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:

Workshop format

During 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 from the accepted papers and guest speakers. 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.


9:00-10:00 - Workshop Introduction and short paper talks:

10:00-11:00 - Guest speakers and Panel Q&A with

11:15-12:45 - Interactive Small and Large Group Discussions - collaboratively exploring the challenges and goals in the domain.

12:45 Workshop Wrap Up

Submission of Abstracts

We 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:

If you have any questions, don't hesitate getting in touch with us:



This virtual workshop is running in conjunction with e-Energy 2020. Please register your attendance via the e-Energy Conference website (a Workshop Only, or Conference+Workshop ticket). The half day workshop will be running in AEST time zone.


The EnergyVis Workshop is being led by members of Immersive Analytics Lab, one of the world leading research groups in immersive analytics and data visualization:

Program Committee


If you have any questions don't hesitate contacting us