AISE 2025: International Workshop on AI Systems for the Environment
The increasing urgency of addressing global sustainability challenges, such as managing renewable energy, optimising circular economies, optimising agricultural practices, and reducing AI's environmental footprint, has placed significant emphasis on the need for advanced technological interventions. AI and intelligent agents research provide scalable and adaptable frameworks for modelling and coordinating the complex interactions between diverse agents involved in these domains. By leveraging AI techniques such as agent-based modelling, algorithmic game theory, and multiagent reinforcement learning, researchers can design solutions that balance efficiency, fairness, and transparency, enabling more robust and impactful sustainability practices.
The AI Systems for the Environment (AISE) workshop aims to bring together researchers interested in applying AI research to address urgent sustainability challenges. Spanning diverse areas like sustainable operations, transportation, energy management, biodiversity conservation, and AI efficiency, AISE seeks to foster interdisciplinary dialogue and inspire novel AI approaches that prioritise environmental sustainability. This includes topics such as:
Circular Economy Frameworks: AI-assisted frameworks to optimise supply chains, material reuse, and minimise waste.
Smart Transportation Solutions: AI research and intelligent agent technologies for efficient electric, autonomous, and public transport systems.
Renewable Energy Management: AI for demand-supply balance in smart grids and distributed resource integration.
Biodiversity and Protection of Environmental Resources: Robotics and distributed AI for ecosystem monitoring, conservation, and sustainability strategies.
AI Sustainability: Developing algorithms and hardware to reduce the power consumption of AI systems.
By integrating AI techniques like agent-based modelling, algorithmic game theory, robotics, and multiagent reinforcement learning, AISE provides a platform for discussions and collaboration on AI-driven sustainability solutions. The AISE workshop is aligned with key topics discussed at ECAI, with a dedicated focus on sustainability-oriented AI and autonomous systems. We encourage submissions employing a diverse range of AI techniques aimed at advancing sustainability in various domains, including (but not limited to):
Agent-Based Modelling and Simulation: Capturing complex interactions in circular economy systems, resource management, and biodiversity conservation.
Game Theory and Mechanism Design: Dynamic and adaptive contracting for sustainable collaborations in uncertain supply chains and energy grid systems.
Preference Elicitation and Incentive Design: Addressing agent preferences and motivating sustainable actions in renewable energy, waste reduction, and transportation systems.
Computational Social Choice and Fair Allocation: Approaches for equitable distribution of resources and services in sustainable multiagent systems.
(Multi-Agent) Reinforcement Learning: Learning in cooperative and competitive settings for sustainability-driven applications like energy management and transportation.
Human-in-the-Loop AI and Participatory Approaches: Emphasising human-AI collaboration for monitoring environmental impact and decision support.
Explainable and Interpretable AI: Ensuring transparency and accessibility in AI-driven sustainability and mobility decisions.
Optimisation for Resource Efficiency: Multi-objective approaches for minimising waste, improving transport efficiency, and reducing AI’s environmental impact.
Scalable AI for Large-Scale Systems: Managing complexity in smart cities, transportation networks, and distributed energy systems.
Robotics and Drones for Environmental and Transport Monitoring: Autonomous technologies for real-time monitoring of biodiversity, pollution, traffic, and logistics.
We particularly welcome applications of AI systems and intelligent agent technologies to real-world sustainability challenges. This workshop invites a diverse range of contributions, fostering an interdisciplinary dialogue on sustainable AI research and its potential impact. We encourage submission of both mature research contributions and early-stage working papers. Submissions may include short research papers and position papers, provided they focus on the application of AI for a sustainable environment or on making AI systems themselves more sustainable and environmentally friendly.
Submission Guidelines
Participants are invited to submit a short paper (4-6 pages, plus one page for references, Springer LNCS format) describing their work on one or more of the topics relevant to the workshop. The paper should include a title, author names, and affiliations. It should clearly articulate the objectives of the research and provide a concise but thorough description of work related to the topics of the workshop. Optionally, authors may include an appendix that does not count toward the page limit. We encourage both mature research contributions and work in progress. Accepted papers will be invited to submit a camera-ready version for inclusion in the open-access pre-proceedings. All submissions will be peer-reviewed by the organising committee and the program committee, with at least two independent reviews per paper.
Authors are requested to prepare their submissions using the LNCS Springer format, preferably with the LaTeX template, though an MS Word template is also available. All papers must be submitted through the workshop’s EasyChair page: https://easychair.org/my/conference?conf=aise2025
Important Dates
12 June 2025: Deadline for paper submissions (23:59 Anywhere on Earth)
10 July 2025: Notification of acceptance following the review process
31 July 2025: Deadline for confirming the presenting author (AISE will be a purely in-person workshop)
8 August 2025: Final workshop schedule published
ECAI’s early bird registration deadline (TBC)
18 September 2025: Deadline for submitting camera-ready papers for inclusion in the pre-proceedings
25/26 October 2025: AISE workshop at ECAI 2025 (AISE will be a purely in-person workshop)
Pre-Proceedings and Post-Workshop Publication
Accepted papers will be included in the workshop’s pre-proceedings, and selected contributions may be invited to a special journal issue (details to be confirmed). Please note that at least one author must register for the workshop and present the work in person for the paper to appear in the workshop’s pre-proceedings.