Harmony 2023

Conference Date

24-27, April 2023

Conference Location

Seattle, WA

Important Dates

HARMONY Workshop
April 24 to 27, 2023

Important Links

The Computational Modeling in Biology Network (COMBINE) is an initiative to coordinate the development of the various community standards and formats in systems biology, synthetic biology and related fields. HARMONY is a codefest-type meeting, with a focus on development of the standards, interoperability and infrastructure. There are generally not many general discussions or oral presentations during HARMONY; instead, the time is devoted to allowing hands-on hacking and interaction between people focused on practical development of software and standards.

HARMONY 2023 will be hosted by Herbert Sauro and the Center for Reproducible Biomedical Modeling at the University of Washington, Seattle, WA. It is going to be organized primarily as an in-person meeting, with individual breakout sessions responsible for enabling remote participation as needed.

Most of each day will be scheduled by the communities as breakouts. In addition, we will have some time each day for community discussion and wrap-ups of breakouts and advertisements for following breakouts.

Workshop Location Details

HARMONY 2023 takes place at the University of Washington (UW, and commonly called “U-Dub”) in Seattle, Washington. HARMONY 2023 will take place in the William H. Foege Bioengineering building, more details will be forthcoming.

Topics of Interest

  • Data exchange, pipelines and model standards for systems and synthetic biology
  • Visualization and graphical notation standards for systems and synthetic biology
  • Standards for sharing and analysing biological pathway data
  • Standards for computational biological models and modelling support
  • Metadata description and model annotation in COMBINE standard formats
  • Implementation of COMBINE standards in tools, databases and other resources
  • Integrated model and data management for systems and synthetic biology
  • Standardization of Artificial Intelligence approaches in biological modelling
  • Emerging standardization needs and multicellular modeling
  • Community aspects of COMBINE