Access EMSL staff members' expertise, instruments, and resources through a series of Community Science Campaigns. These campaigns leverage the collective power of the research community to tackle significant biological, environmental, and computational challenges faced in creating an energy-secure future.
Through these campaigns, EMSL hosts open sampling calls (see information below) and facilitates the development of capabilities to support Department of Energy Office of Science research priorities using the Lab's expertise in three Science Areas:
Upon conclusion of each campaign, data from each proposal call will be made available to the public for free through EMSL's Science Central database. Additionally, capabilities developed will be accessible to researchers as part of future open calls for proposals.
Functional and
Systems
Biology (FSB) | | Environmental Transformations and Interactions (ETI) | | Computing,
Analytics, and
Modeling (CAM) |
| Uncover biochemical pathways connecting gene functions to phenotypic responses in microbial, fungal, and root-associated communities | | Strengthen mechanistic and predictive understanding of the molecular underpinnings driving environmental processes | | Advance data analytics, visualization, modeling, and simulation to accelerate scientific discovery |
CAMPAIGNS1,000 FUNGAL PROTEINS
1,000 Fungal Proteins: Database of Standardized Fungal Protein Characterizations
Currently open: MICROBIAL BIOTECHNOLOGY
Harnessing Microbial Production to Advance Bioeconomy and Biotechnology
METAL-BINDING BIOMOLECULES
Discovery and Characterization of Critical Metal-Binding Small Molecules and Proteins
| | CAMPAIGNSSOILS-AI
Soil Organic Indicators at Large Scale for Artificial Intelligence
RHIZO CRITICAL
Critical Minerals Biogeochemistry in the Rhizosphere – Ultramafic Soils FY27 Call Opens June 3, 2026: UNCONVENTIONAL CRITICAL
Biogeochemical Processes Governing Critical Mineral Recovery in Mineral Dominated Systems
FY27 Call Opens June 3, 2026: | | CAMPAIGNSMASS SPEC MOLECULAR ANNOTATION
Advancing High-Resolution Mass Spectrometry Data Processing with Artificial Intelligence
MASS SPEC MOLECULAR SIMULATION
Integrating High-Resolution Mass Spectrometry and Molecular Simulation
BRIDGING SOIL SCALES
AI-Enabled Pore-Scale Modeling for Critical Mineral and Metal Applications
INTEGRATED DATA MODELS
Enabling AI-ready Data on the Anaerobic Microbial Phenotyping Platform
PATHWAY DISCOVERY
Enabling Multiomics Data Integration and Interactive Visualization-Based Pathway Discovery and Analysis
METABOLIC MODELING
Enabling Automated and Autonomous Robust, High-Quality Systems Biology Modeling |
