Canada is facing challenges in innovation, energy policy, and environmental discussions. Yet, the public's trust in their institutions - government, business, and media – is rapidly eroding as is social license to operate/govern and market access. For the first time, “a person like me” has become as trusted as an academic or technical expert and twice as trusted as a board director, government official or CEO. Effective risk communication is fundamental to addressing sustainability challenges such as supporting energy transition/transformation, developing climate change policies, and enhancing necessary social engagement and innovation. This requires an interdisciplinary, collaboratory approach to understand how energy systems are being discussed, how the associated risks are being assessed, how risk acceptability is evaluated, and other overarching principles for effective communication: determining key audiences, defining the purpose of a risk communiqué, using the most effective method of communicating (visual, verbal, statistics, combinations), and using the most credible messenger. By applying quantitative text and network analysis techniques, we are mapping diverse knowledge domains to understand how individuals create shared meaning, collaboration networks, and innovations.
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NEWS
Project Update A Toolkit for Analyzing Online Conversations for Solutions Based Policy Development
We’re excited to share the amazing work on this project by announcing that the platform is now LIVE to the public!
Visit here: http://ai4buzz.ca
About the tool
Social media platforms are public venues where conversations about issues of public interest take place. These online conversations have real world impact. The project objective is to understand the vocabularies, speakers, interlinking of conversations, associated topics/themes, and make this all public to draw these narratives together and support solutions-based policy conversations.
The tool can aggregate these indicators at the level of tweet authors to shed light on the activities and style of influencers of public opinion. Finally, it offers rich visualizations to enable users to gain insights on their datasets.
This is public research project. Everyone has equal access to these conversations. Everyone can suggest an examination of a new energy type, new visualizations, and new analysis. This research is by Canadians and for Canadians to support conversations about Canadian energy policy. By helping us make this project better, you will enhance the accessibility and relevancy of energy policy to all Canadians. So, please make suggestions: http://ai4buzz.ca/suggestions
The project leveraged expertise from engineering, computer science and business faculties and was peer reviewed by the University of British Columbia, University of Ottawa, University of New Brunswick, Cornell University, and Stanford University. The project is enabled through the generous donation of computing infrastructure through AI-HUB, University of Alberta Signature Area AI4Society, and support from the Mitacs Accelerate Program. Researchers included: Drs. Lianne Lefsrud, Eleni Stroulia, Denilson Barbosa, Joel Gehman and Candelario Gutierrez, Andrea Whittaker, Ruby de Jesus, and Katherine Patenio.
How to use the tool - Tutorials
VIDEO
#energy #canada #news #tools #toolkit #analysis #innovation #climatechange #climate #environment #technology #tech #energyefficiency #energytransition #socialmedia #conversations #data
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ARTICLES
Gutierrez, C. A. G., Whittaker, A., Patenio, K. M., Gehman, J., Lefsrud, L. M., Barbosa, D., & Stroulia, E. (2021, November). Analyzing and visualizing Twitter conversations. In Proceedings of the 31st Annual International Conference on Computer Science and Software Engineering (pp. 4-13).
