FMSust 2025
-------------
The rapid advancement of foundation models offers a transformative opportunity to address some of the most pressing challenges in sustainable development. Unlike traditional machine learning models that are typically designed for single-task solutions, foundation models – especially Large Language Models (LLMs), Vision-Language Models, Multimodal Foundation Models, and Time Series Foundation Models (TSFMs) – are large-scale models trained on vast and diverse datasets. They are designed to handle multiple downstream tasks and offer high generalizability and adaptability.

In recent years, there has been growing interest in developing domain-specific foundation models to address the challenges of building and deploying these models in specialized contexts. Within the SIGEnergy community, there is growing momentum to develop, analyze, and explore the capabilities and limitations of such models, and to assess their adaptability across a range of tasks. The 1st International Workshop on Foundation Models for Energy-Efficient Buildings, Cities, Transportation, and Sustainability provides a timely platform for researchers and industry practitioners to exchange ideas and share their latest findings, with the goal of advancing our collective understanding and responsible use of foundation models in the energy and sustainability domains.

Call for Papers
-----------------
Topics of interest for the workshop include (but are not limited to) the following:

Foundation Models for Energy and Sustainability
---------------------------------------------------------
- Domain-specific foundation models for buildings, cities, grids, and transportation
- Large Language Models (LLMs) and their applications in energy and sustainability
- Vision-language models for multimodal understanding and control
- Multimodal foundation models combining text, vision, time series, and structured data
- Time Series Foundation Models (TSFMs) for forecasting, control, and anomaly detection
- Transfer learning, fine-tuning, and adaptation techniques
- Efficient and scalable model architectures for low-resource or edge environments
- Modeling and optimization for decarbonization pathways

Datasets, Benchmarking, and Evaluation
----------------------------------------------
- Creation and curation of domain-specific datasets for training foundation models
- Open benchmarks and reproducibility frameworks
- Standardized metrics for evaluating generalization, fairness, and robustness
- Tools and platforms for dataset sharing, annotation, and synthetic data generation

Deployment, Validation, and Impact Assessment
----------------------------------------------------
- Real-world deployment of foundation models
- Field studies, pilot projects, and validation of foundation models
- Socio-technical challenges in deploying foundation models at scale
- Monitoring, adaptation, and continual learning from deployed systems
- Assessment of environmental and social impacts of model use

Cross-Cutting Themes
-------------------------
- Human-in-the-loop systems and interpretable foundation models
- Ethical, legal, and responsible AI considerations
- Privacy and security issues
- Federated foundation models
- Democratizing access to foundation models

Submission Guidelines
--------------------------
The workshop solicits submissions for technical papers, or works in progress, reporting on novel research to be presented at the workshop (in person). Submitted papers must be unpublished and must not be currently under review for any other publication. Paper submissions must be at most 6 single-spaced US Letter (8.5"x11") pages, including figures, tables, and appendices (excluding references). All submissions must use the LaTeX (preferred) or Word styles found here. Authors must make a good faith effort to anonymize their submissions by (1) using the "anonymous" option for the class and (2) using "anonsuppress" section where appropriate. Papers that do not meet the size, formatting, and anonymization requirements will not be reviewed. Please note that ACM uses 9-pt fonts in all conference proceedings, and the style (both LaTeX and Word) implicitly define the font size to be 9-pt.


Submission link
------------------
All submissions must be in Adobe Portable Document Format (PDF) format through the HotCRP: https://buildsys25-fmsust.hotcrp.com/

Important Dates
------------------
Paper submission: September 22, 2025 (AOE)
Notifications: September 30, 2025 (AOE)
Camera-ready: October 3, 2025 (AOE)
Workshop: November 20, 2025