The AI on networks track showcases the latest research on using AI to positively impact society. It covers topics such as novel datasets, theoretical advancements for network science, with the potential to address challenges in areas like sustainable development, healthcare, and education. Experts will share their research and best practices for using AI on networks to address pressing societal challenges within the context of the broader conference theme of social good.

We welcome original research papers on a wide range of topics, including but not limited to:

• Novel datasets and data collection methods 

• Advancements in AI and machine learning on graphs for the benefit of humanity and social good

• Network analysis for feature engineering to enhance AI for social good

• Novel algorithms and techniques for AI on graphs for social good

• AI on networks to achieve sustainable social and economic development

• Utilizing AI on networks to enhance education and learning

• Harnessing AI on graphs for effective humanitarian aid and disaster relief

• Applying AI on networks to address environmental sustainability and mitigate climate change

• Food security agriculture enhanced by AI on graphs

• Using AI on networks to improve health and enable assistive technologies

• Leveraging AI on networks for effective urban planning and development

• AI on graphs to achieve social justice and reduce inequality

• AI on networks for social media 

• Human centered AI on graphs

• Study and mitigation of polarisation, segregation, echo chambers/radicalization mechanism using networks and AI

• Explainable, fair, trustworthy, responsible AI on networks

• Climate networks for AI

Submissions should present the latest research, insights, and best practices for using AI on networks to address pressing societal challenges within the context of the broader conference theme of social good. We encourage submissions from leading experts in the field, and we welcome high-quality research that showcases the potential of AI to create positive social impact.

Important dates

 Authors guidelines

All accepted papers will be included in the ACM Digital Library. 

Full papers (main track and special tracks): papers must not exceed twelve (12) single-column pages, excluding references. Papers with a length disproportionate to their contribution will likely be rejected. 

Detailed submission guidelines can be found at the conference main page http://goodit.campusfc.unibo.it/submission-of-papers/

 Committee

Organizing Committee

Advisory board

Technical Program Committee (TBD)