Artificial Intelligence (AI) generates a twofold effect: it produces various kinds of waste and has the potential to help addressing the sustainability goals, produce smarter and greener hardware, software and applications. Sustainability requires solving complex problems, often with hybrid AI approaches. In parallel, knowledge is vital for successful innovation, facing environmental challenges, in smart cities, education and resource management, among others. Knowledge Management principles are also applied to energy life cycle, optimization, and combination of renewable energies for sustainable powering and heating. Raising prices of natural gas drives growth in renewable energies. Industries like steel, glass, chemical manufacturing sites are they are looking for AI based control systems for the Grid connected micro-grids. Circular energy explores the heat generated by data centers and the waste steam for a sustainable environment as like creating fish farms or agricultural sites, or recreating cooling water which are additional processes that demand AI-based scheduling using meteorological data. Clean energy solutions require evolution of manufacturing processes and holistic approach supported by rigorous analytics, high quality data and the recognition of infrastructure dependencies. This workshop focuses on the innovation for the sustainable energy and overall sustainability expressed by 17 UN goals.
In order to increase sustainability in agriculture, it is vital to incorporate green technologies into farming, e.g., renewable generation. However, there are significant challenges associated with enhancing the sustainability of agriculture. This workshop will focus on utilizing AI to improve farming practices.
The topics include, but are not limited to:
Complex problem solving, conceptual modelling, knowledge discovery in data and multimedia documents, machine learning, decision support systems, optimisation of various resources, managing the best practice, risk management, simulation, learning systems including serious games, human-machine interfaces, knowledge mining in social networks, distributed knowledge, knowledge management applied to design, creativity enhancing systems, support of innovation and eco-innovation process, intelligent assistants, renewable energy integration, AI for agriculture, automation in renewable energy generation and distribution, decision modelling in agriculture, and agent-based and multi-agent systems in sustainability. Applications for eco-activities and AI applications supporting sustainable development are very welcome.
All dates are 11:59 pm, Anywhere on Earth (AoE)
Deadline for abstract: July 10, 2023
Deadline for paper submission: July 17, 2023 EXTENDED to July 23, 2023
Author notification: August 13, 2023
Camera-ready submission: August 30, 2023 EXTENDED to September 10, 2023
Workshop: September 30 and October 1, 2023
We invite authors to submit unpublished papers to this workshop, to be presented at Oral/Poster presentation after acceptance. All papers must be written in English, and the workshop will consider full-length papers and extended abstracts.
Full-length papers. Page limit - 7 pages (6 + 1 for references).
Springer format https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines
Extended abstracts. Page limit - 2 pages, including references (Springer format).
* Note: We invite authors whose submissions to the main conference were previously rejected to submit their work to our workshop. To do so, they must include a supplemental submission with comments from previous reviewers (named reviews.pdf) and a letter of modifications (named letter_of_changes.pdf). These documents should clearly demonstrate how the authors have addressed the comments made by previous reviewers.
Papers should be submitted through the Microsoft CMT submission system at https://cmt3.research.microsoft.com/AI4S2023
Selected and extended papers will be published by Springer AICT (IFIP publisher).