Organizer
The “AI in Sustainability and Climate Change” track, organized by Dr. Matthäus Tekathen (Concordia University, Canada) in collaboration with the Climate Measures & Reporting Lab at the Climate Business Institute, aims to generate cutting-edge insights at the intersection of artificial intelligence, environmental sustainability, and climate change. The track explores how AI technologies can both help tackle and contribute to pressing sustainability challenges, impact environmental performance, and drive climate-related innovation in both business and policy contexts. Contributions are invited that examine the role of AI—such as improving the prediction and monitoring of climate risks, optimizing resource efficiency, increasing transparency and reporting quality, and fostering green innovation—as well as its potential to expand the scope and methodological rigor of sustainability research.
Call for Papers
The workshop invites submissions of full papers or extended abstracts of theoretical on following research questions:
- How can AI and machine learning improve the accuracy, reliability, and standardization of sustainability and climate-related disclosures (e.g., carbon accounting, Scope 3 emissions)?
- In what ways does AI facilitate real-time environmental monitoring and early warning systems for climate-related risks (e.g., floods, wildfires, heatwaves)?
- How can AI support corporate decision-making in the development and implementation of decarbonization strategies and climate risk mitigation plans?
- What is the role of AI in advancing ESG performance evaluation and benchmarking across industries and geographies?
- How do firms use AI to align sustainability goals with operational performance, and what are the measurable outcomes?
- What are the risks and ethical concerns associated with using AI in sustainability contexts, including data privacy, greenwashing, and algorithmic bias?
- How can AI enable more inclusive and equitable climate solutions, particularly in underserved regions or vulnerable communities?
- To what extent does AI enhance collaboration across sectors (e.g., business, government, NGOs) for system-level sustainability transformations?
- How do regulatory environments and institutional quality influence the adoption and impact of AI-driven sustainability innovations?
- What organizational capabilities and governance structures are required to ensure effective and responsible integration of AI into sustainability strategies?
Paper Development Workshop Submission
Please submit full articles or extended abstracts to AIfinance@concordia.ca with the subject line 'AI in Finance Conference, Workshop AI in Sustainability and Climate Change' by September 15, 2025. Notification of acceptance will be sent by September 22, 2025. |
Workshop Fee
General Conference Fees applies.