AI for People – EAI GOODTECHS 2020

GOODTECHS 2020 goes Virtual

Due to the world COVID-19 pandemic, the Organizing Committee of GOODTECHS 2020 decided to host the conference fully online, instead of the traditional face-to-face one in Antwerp. In addition, we have postponed the submission deadline to June 1st, 2020. Further details will be provided as soon as possible. We regret any inconvenience that this decision may cause, but we expect all colleagues to understand that it was not feasible to hold the conference in the usual format.

Chair

Angelo Trotta, University of Bologna, Italy, [email protected]

Co-Chair

Vincenzo Lomonaco, University of Bologna, Italy, [email protected]

Scope

Social good is something that benefits the general public and to the largest number of people. Hence, it can be defined as global citizens uniting to unlock the potential of individuals, technology and collaboration to create positive societal impact. It is about engagement, shareability and bringing people together to change the world for the better. At the same time, Artificial Intelligence (AI) research is mature enough for stable algorithms and approach to be used and play a crucial role in the aforementioned environments, enabling the deployment of revolutionary services and applications. It is envisioned that both the social interaction and the integration with smart devices will meaningfully impact societal development sustainability.

This special session is dedicated to addressing major challenges in realizing intelligent platforms based on recent innovation in AI systems that can provide new ways of approaching problems and meaningfully improve people’s lives. We expect works that focus on the following areas: health, education, protecting democracy, urban planning, assistive technology for people with disabilities, smart and sustainable agriculture/fishing, environmental sustainability, search and rescue operations, emergency management, economic inequality, social welfare, justice, ethics, privacy, and security. The numerous emergent intelligent applications for social good may require an interdisciplinary approach, involving techniques from AI to communication networks, from IoT to data analysis, from social science to complex systems.

Topics

Authors are solicited to submit original, previously unpublished papers in the following, but not limited to, topic areas:

Emerging trends of AI for social good
Application of Deep, Unsupervised and Reinforcement Learning techniques
Continual Learning and Adaptation
AI for smart cities
Environmental quality monitoring
Humans and goods transportation systems
AI for emergency management
Fog/Edge computing for the real-time execution of AI and data analytic
Experimental results, simulators and benchmarks

Publication

All accepted and presented papers will be published in ACM International Conference Proceeding Series — ICPS and made available through ACM Digital Library. The registered papers must follow the guidelines below:

Papers should be in English.
Regular papers should be up to 6 pages in length.
WIP and PhD track papers should be 4 pages in length.
Previously published work may not be submitted, nor may the work be concurrently submitted to any other conference or journal. Such papers will be rejected without review.

Proceedings will also be submitted for inclusion in other leading indexing services, Ei Compendex, ISI Web of Science, Scopus, CrossRef, Google Scholar, DBLP, as well as EAI’s own EU Digital Library (EUDL).

Special Issue

The best articles will be invited to provide an extended contribution to the “AI for People” special issue of Springer AI & Society: Knowledge, Culture and Communication (IF: 0.950).

Community Review

Community Review is a service offered to Program Committees and submitting Authors of all EAI conferences designed to improve the speed and the quality of the review process.

Abstracts of all authors who opt-in to Community Review during submission will be published and available for Bidding here.

Learn more about the Community Review process