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Community Science Campaigns

Access the Environmental Molecular Sciences Laboratory (EMSL) through a series of Community Science Campaigns. They leverage the collective power of the research community to tackle significant biological and environmental challenges faced in creating an energy-secure future.

Through these campaigns, EMSL will host open sampling calls and facilitate 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. 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

CAMPAIGNS

1,000 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      
 

 

CAMPAIGNS

SOILS-AI      
Soil Organic Indicators at Large Scale for Artificial Intelligence      
 

RHIZO CRITICAL      
Critical Minerals Biogeochemistry in the Rhizosphere – Ultramafic Soils      
 

UNCONVENTIONAL CRITICAL      
Biogeochemical Processes Governing Critical Mineral Recovery in Mineral Dominated Systems

 

CAMPAIGNS

MASS SPEC MOLECULAR ANNOTATION      
Advancing High-Resolution Mass Spectrometry Data Processing with AI      
 

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      
Multi-omics Data Integration and Interactive Visualization      
 

METABOLIC MODELING      
Enabling Automated and Autonomous Robust, High-Quality Systems Biology Modeling