As Artificial Intelligence (AI) drives changes to enhance productivity and prolong lifespans, a dual concern is the environmental sustainability of scarce planetary resources. Effective management of environmental assets and reducing our impact on sensitive ecosystems are becoming critical issues. AI has the potential to accelerate global efforts to protect the environment and conserve resources through renewable energy systems, driving energy emission reductions, CO2 removal, developing greener transportation networks, monitoring deforestation, and planning for extreme weather conditions. This AI4Environment workshop aims to explore the emerging applications of AI as it relates to environmental conservation and management. The first successful run of the symposium was held in Australasian Joint Conference on Artificial Intelligence in 2022. This year, we would like to take to the regional level. As we know many countries in the pacific rim region are facing environmental challenges. We hope to attract researchers from these countries.

 

The first successful run of the symposium was held in Australasian Joint Conference on Artificial Intelligence in 2022. This year, we would like to take to the regional level. The AI4Environment organising committee invites you to actively contribute to the workshop by submitting an abstract of your work related to the environmental challenges for consideration and inclusion in the programme of AI4Environment 2023.

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Important Dates

  • Abstract Submission Deadline: September 18, 2023
  • Acceptance Notification: September 24, 2023
  • Workshop: November 15, 2023

All deadlines are at the end of the day specified, anywhere on Earth (UTC-12).

 

Areas of Interest

Abstracts are being solicited on (but not limited to) the following topics:

  • Air Quality Monitoring and Forecasting
  • Climate Adaptation
  • Disaster Resilience Planning (Bush Fires, Flooding, Droughts, Tsunami, Storms)
  • E-Waste/Plastic Recycling/Up-Cycling (Green IT and the Circular Economy)
  • Energy Sustainability (Distributed Energy Resource Portfolios)
  • Environmental Financial Planning, Insurance and Economics
  • Home Automation
  • Internet of Things (IoT)/Internet of Everything (IoE)/AI of Things (AIoT) Environmental Sensing
  • Smart Cities, Infrastructure and Buildings (Urban Monitoring and Optimisation)
  • Sustainable Agriculture/Aquaculture
  • Sustainable Production/Manufacturing
  • Transport Management and Optimisation
  • Water Quality Monitoring and Forecasting
  • Weather Monitoring and Forecasting

Abstract Submission

All abstracts must be original, and multiple submissions are allowed if the other conference, journal or workshop is in agreement. Abstracts should be submitted electronically using the conference management tool in PDF format and formatted using the Springer LNAI template. Submitted abstract can be of maximum 1 page in length.

For other guidelines and formatting options, please follow the abstract submission instructions from https://pricai.org/2023/workshop/ai4environment/submission/.

Abstract Submission Link:  https://easychair.org/conferences/?conf=ai4environment2

 

Publication

All accepted abstracts along with the authors' details, will be published on this workshop website. In addition, leading papers from the symposium will be invited to submit an extended version for the Elsevier's book series, Intelligent Data-Centric Systems. These papers will undergo a further round of blind peer review.

 

Workshop Mode

AI4Environment workshop will be held in HYBRID mode. Authors can present their work onsite or via Zoom video conferencing.

 

Workshop Participation

Authors of all accepted abstracts and participants must register before the deadline following the PRICAI-23 conference's registration guidelines. If you wish to participate only in the workshop, then register for the PreConference (2-days) category there. Further details and guidelines are provided on PRICAI-23's registration page.

Registration Page: https://pricai.org/2023/registration

 

Contact

All queries should be emailed to Jarrod (This email address is being protected from spambots. You need JavaScript enabled to view it.), Newton (This email address is being protected from spambots. You need JavaScript enabled to view it.) or Ashfaqur (This email address is being protected from spambots. You need JavaScript enabled to view it.)