[Infovis] [CFP] Special track on AI for Good (AI4Good) @ ACM GoodIT 2025

[Chiara Ceccarini]

CFP: Special track on AI for Good (AI4Good) @ ACM GoodIT 2025

https://sites.google.com/view/goodit-ai4good

3-5 September 2025, Antwerp, Belgium


The “AI for Good” special track explores the dynamic relationship between artificial intelligence and sustainability from a two-fold perspective: the sustainability of AI systems themselves and the role of AI in promoting sustainable development. It highlights interdisciplinary approaches that optimize AI's environmental, social and economic footprint while leveraging its potential to address climate challenges, resource efficiency, and global sustainability goals. In this context, data visualization can serve as a powerful tool to communicate and optimize the interaction between AI and sustainability to guide strategic decisions toward a more sustainable future.


## Topics of Interest

* Sustainable AI: approaches to address environmental, social and economic aspects of AI
* Data visualization for the impact of AI Systems: data visualizations to monitor the carbon footprint and energy efficiency of AI systems, showing the impact of AI technologies on the environment and suggesting solutions to reduce their consumption.
* AI for environmental monitoring: climate modeling, disaster prediction, and ecosystem management
* AI for circular economy: waste reduction, supply chain optimization, and resource efficiency
* Data visualization and AI-enhanced analytics: improving climate awareness and policy formulation
* AI-powered decision-making: smart urban planning, infrastructure sustainability, and renewable energy solutions
* AI applications in agriculture, biodiversity conservation, and water management
* Data Visualization for Tracking Carbon Footprint of AI Models: visualize the carbon footprint of AI models, monitoring emissions during the training and inference phase.
* Sustainable Large Language Models (LLMs): optimizing training and inference efficiency, reducing carbon footprint, and applying LLMs to sustainability challenges
* Data Visualization Approaches for eXplainable AI: visualize explanations of AI models, focusing on specific target users.


## Important dates
* Papers submission: 25th May 2025
* Notification of acceptance: 8th July 2025
* Camera-ready paper due: 19th July 2025
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Chiara Ceccarini, PhD.
Junior Assistant Professor (RTD-A)
Department of Computer Science and Engineering
University of Bologna