Establishing community standards to improve computational modeling in a changing world.

The Open Modeling Foundation carries out a series of coordinated activities to further its vision, mission, and goals under the guidance and with the support of standing governance committees and OMF member organizations. Depending on resource availability, the Open Modeling Foundation will undertake other activities in support of modeling science and scientists. Identifying, prioritizing, and coordinating such activities will be the responsibility of the Steering Committee and Activities Committees.

Training and Education

The OMF provides a forum for disseminating materials for teaching best practices for model documentation, transparency, reuse, and interoperability to students in educational institutions. Related to this, the OMF has sponsored training activities to help scientists learn how to make their models more transparent, well-documented, reusable by others, or interoperable with other models. This training involves in-person workshops, webinars and virtual conferences, or training videos. 

Past Workshops and Meetings

  • Open Modeling Foundation: Strategic Planning Workshop 2
    • May 2020
    • A workshop to discuss and propose goals for modeling standards, discuss OMF organization and governance, and create initial documentation standards hosted online
    • View agenda and attendees
  • Open Modeling Foundation: Standards for Model Documentation
    • December 2019
    • A meeting to discuss standards for modeling documentation hosted by Commonwealth Scientific and Industrial Research Organisation, Canberra, Australia
    • View agenda and attendees
  • The Open Modeling Foundation Initiative: a Scientific Community for Common Standards and Best Practices for Integrative Modeling of the Earth System
    • May 6-7, 2019
    • A Workshop Hosted by the Institute for Advanced Sustainability Studies, Potsdam, Germany
    • View agenda and attendees
  • Large-Scale Behavioral Models of Land Use Change
    • September 8-10, 2019
    • An AIMES-GLP Workshop at Arizona State University, Tempe, USA

Other activities

Development of an OpenCode Badge to be added to publications where the author makes model code accessible in a FAIR-aligned repository:

Tutorials to help modelers containerize their code to make it more reusable and reproducible:

Enhancements to the Basic Model Interface for model interoperability:

Standards based modeling activities by OMF members

Development of proof of concept integrative modeling:

CoMSES Net, CSDMS, and DSSAT have an ongoing collaboration (funded by the A.E. Sloan Foundation) to link existing legacy models for agricultural crop growth, hydrology, and weather in an integrated modeling environment for food systems

Barton, C.M., Nelson, G.C., Lee, A., Porter, C.E., Ullah, I.I.T., Hutton, E.W., Hoogenboom, G., Rogers, K., Pritchard, C., 2017. A Community Framework for Integrative, Coupled Modeling of Human-Earth Systems. Presented at the Paper presented at the American Geophysical Meeting  Fall Meeting, New Orleans.

A working group of AIMES and the Global Land Programme, headed by Mark Rounsevell (Karlsruhe Institute of Technology), is developing large-scale behavioral models of land use change. See 

OMF-related publications

Barton, C.M., Alberti, M., Ames, D., Atkinson, J.-A., Bales, J., Burke, E., Chen, M., Diallo, S.Y., Earn, D.J.D., Fath, B., Feng, Z., Gibbons, C., Hammond, R., Heffernan, J., Houser, H., Hovmand, P.S., Kopainsky, B., Mabry, P.L., Mair, C., Meier, P., Niles, R., Nosek, B., Osgood, N., Pierce, S., Polhill, J.G., Prosser, L., Robinson, E., Rosenzweig, C., Sankaran, S., Stange, K., Tucker, G., 2020. Call for transparency of COVID-19 models. Science 368, 482–483.

Robinson, D.T., Di Vittorio, A., Alexander, P., Arneth, A., Barton, C.M., Brown, D.G., Kettner, A., Lemmen, C., O’Neill, B.C., Janssen, M., Pugh, T.A.M., Rabin, S.S., Rounsevell, M., Syvitski, J.P., Ullah, I., Verburg, P.H., 2018. Modelling feedbacks between human and natural processes in the land system. Earth System Dynamics 9, 895–914.