NSF POSE Project 2023-2025 Timeline

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To inform GRASS community about the work done as part of the award 2303651 from the U.S. National Science Foundation (NSF) to enhance GRASS ecosystem, the following report summarizes the progress and outcomes in quarterly reports and presents the roadmap for the project.

The two main goals of the project are: 1) to facilitate the adoption of GRASS GIS as a key geoprocessing engine by a growing number of researchers and geospatial practitioners in academia, governments, and industry; and 2) to expand and diversify the developer community, especially through supporting next-generation scientists to gain expertise to maintain and innovate GRASS software.

Principal investigators and senior personnel:

  • Helena Mitasova, North Carolina State University (Principal Investigator)
  • Vaclav Petras, North Carolina State University (Co-Principal Investigator)
  • Anna Petrasova, North Carolina State University (Co-Principal Investigator)
  • C Michael Barton, Arizona State University (Co-Principal Investigator)
  • Huidae Cho, New Mexico State University (Co-Principal Investigator)
  • Giuseppe Amatulli, Yale (Senior Personnel)

Other personnel who is joining for the execution of the grant is listed below when relevant.

1st quarter report

Project Announcements and Communication

Conference Presentations

Training and Workshops

Community Sprint Participation

Anna Petrasova and Vaclav Petras remotely participated in OSGeo 2023 code sprint doing PR reviews and maintenance of GRASS GIS code, documentation, and website.

Mentoring Program

Mentoring Program is a new effort started and so-far performed only by the POSE team.

Student Grants Program

Student grants announced with topics at a wiki page. Student Grants Program is an existing effort which the POSE team participates in.

Working Groups

Four working groups created (scope, wiki page, coordinator, and a list of people for each).


  • GRASS GIS Google Scholar account updated with more complete records.
  • A form was created to collect new and missing records.
  • Profile link added to GRASS website Contribute and Citation page.


Mentoring program (fall 2023 - summer 2025)
Free developer-oriented mentoring program to support researchers and software developers to integrate GRASS GIS into their workflows and contribute to GRASS GIS.
Streamline contributor onboarding (spring 2024 - fall 2024)
Includes updating and creating guidelines for code and non-code contributions.
Streamline user onboarding (spring 2024 - fall 2024)
Includes modernizing tool documentation, developing tutorials.
Creating sample datasets for localized tutorials.
Developing online training materials for big data processing.
Training sessions (fall 2023 - summer 2025)
Local training sessions (at universities and conferences) introducing GRASS GIS to students and researchers.
Training program for big data processing delivered online.
Engaging industry partners (January - August 2024)
Identify and engage industry partners to gather feedback and to start industry partnership program.
Presence (talks, workshops, networking) at FOSS4GNA 2023, FOSS4G Asia 2023, AGU 2023, CSDMD 2024, FOSS4G Europe 2024, FOSS4G 2024, AGU 2024
Community sprints
Virtual or in-person participation in OSGeo community sprints, GRASS GIS community sprints
Software distribution (January 2024 - December 2024)
Transition to CMake build system
Develop conda package
Simplify maintenance of GRASS integrations with QGIS and R (2024-2025)
Virtual meetings with QGIS and R developers and GRASS GIS developers (spring 2024).
Identify and implement improvements to the integration.
Improve code quality, security, and quality assurance
Code quality (Flake8, Pylint, Cppcheck), first half of 2024.
Security (CodeQL), second half of 2024.
Quality assurance (better pytest integration), second half of 2024.
In-person developer summit (spring/summer 2025)
Hosted by NC State University, Raleigh, NC, USA.
Identify additional challenges for adoption of GRASS GIS as geoprocessing engine.
Long-term planning beyond the POSE project.


The funding is provided by the U.S. National Science Foundation, award 2303651.