Sharing some content here as a record of Group Meetings at the CSDMS Annual Meeting. Starting with the Terrestrial, Geodynamics, Hydrology, and CZ groups, but welcome other groups too!
From 2024: “Share a link (group page, profile page, repository, publication) of some work that you are involved in or that inspires you.”
- Reexamining the determination of the fractal dimension of river networks
- Environmental signal propagation in sedimentary systems across timescales
- https://www.researchgate.net/profile/Morgane-Houssais
- https://soil-modeling.org/science-panels/working-groups
- A landslide runout model for sediment transport, landscape evolution and hazard assessment applications
- https://geomorphology.earth.indiana.edu/index.html
- https://topotoolbox.wordpress.com/
- GitHub.com/peckhams/nextgen_basin_repo
- https://slidenz.net/
- NetworkSedimentTransporter: A Landlab component for bed material transport through river networks
- https://linktr.ee/renatovillela
- What is “channel-driven” flooding? | mobile rivers and flood risk
- Matthew Rossi | Earthlab
- Tamara Pico
- https://uncglobalhydrology.org/
- GMD - CSDMS: a community platform for numerical modeling of Earth surface processes
- GitHub - sahrk/DGGRID: A command-line application that generates and manipulates icosahedral discrete global grids.
- Clean Energy And Sustainability Analytics Center - Montclair State University
- https://floodobservatory.colorado.edu"
- GitHub - gguryan/Sed-Layers-JGR
- Calabrian forearc uplift paced by slab–mantle interactions during subduction retreat | Nature Geoscience
- https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2022JF006745
- My Research
- NCSU GeoForAll Lab (NCSU OSGeoREL)
- kcallaghan.github.io
- GitHub - snpoudel/CoastalUS_SocioHydroModel: Socio-Hydrological Model used to study human-flood dynamics across Coastal US.
- susannahmorey.com
- Kimberly Huppert | The City College of New York
- DeltaRCM · GitHub
- Home | WUSTL Geomorphology | Washington University in St. Louis
- https://mhpi.github.io/
- Neural Hydrology · GitHub
- https://criticalzone.org/
- https://mnimorph.science/
Notes from 2025, Terrestrial, Hydrology, Geodynamics, and Critical Zone: (Thanks, Wolfgang!)
Social media: Very diverse set of platforms. People are pretty much everywhere
these days. Empirically, CSDMS has seen the scientific community disappear
from Twitter/X; the community is not as active on Bluesky or anywhere else as
it was.
Code review: Models that are reviewed are listed higher on the CSDMS website.
Models and code can be published via the Journal on Open Source Software
(JOSS). Many respondendents (70+%) would like more resources on reviewing code.
On the use of AI as a coding assistant: About 75% have used them. (Last year:
55%.) Most common tools: ChatGPT, CoPilot. One comment was “It’s ok to use,
but you’re shortcutting your learning, and the resulting code is generally at
best mediocre”. Other comments: “Clearly mark for which assignments AI use is
encouraged/acceptable/forbidden; enforcement is perhaps challenging.”
“Students will use AI as tools, and that’s ok. Let’s make sure students can
explain their code in comments, and also have the skills to write out
algorithms on paper.” “AI is useful.”
Things people are inspired by: Lots of things – concrete links will be posted
on the forum.
Things we could do to help the community: Webinars, building mentoring
connections, updates from the working groups, pointers to new or interesting
papers, co-working sessions, facilitated code reviews. Build your own
community of people who help each other, share experiences, reflect on what
you did and that worked or didn’t work. Long list of other suggestions on
Slido.com.
Resources you wish were available: Job/professional opportunity sites. Places
to learn best practices/software development (like Software Carpentry).
Links:
- git@github.com:DavidCarMor/EWB.git
- http://glofs.geoecology.uni-potsdam.de/
- Mountain goats and the costs of living dangerously | UAF news and information
- https://mhaghiri.github.io/
- https://sandpiper-toolchain.org/
- www.deltahbrasil.com
- Geodynamics - Resources: PyLith: About
- WISP
- https://onlinelibrary.wiley.com/doi/full/10.1002/esp.6056
- TT3 is here and waiting for you « TopoToolbox
- https://www.triagetexas.org/
- GitHub - hydroframe/subsettools: Subsetting tools and utilities for ParFlow hydrological modeling
- https://aslopubs.onlinelibrary.wiley.com/doi/full/10.1002/lom3.10469
- GitHub - eyager/ProPlus: Code to calculate protrusion and critical shear stress distributions using 3D point clouds
- 3073: Tariffs - explain xkcd
- GitHub - VivianGrom/ShannonEntropy: Code and examples on how to calculate Shannon Entropy between model results
- https://www.ozcar-ri.org/
- An overview of Mayavi — mayavi 4.8.3.dev0 documentation
- https://mnimorph.science/
- GitHub - dirtbirb/segmenteverygrain: A SAM-based model for segmentation of sedimentary grains
- EXCESS: the role of excess topography and peak ground acceleration on earthquake preconditioning of landslides - University of Plymouth
- https://aspect.geodynamics.org/
- dealii · GitHub
- https://book.the-turing-way.org/
- GitHub - KCallaghan/WTM at petsc
- Neuralhydrology
Thanks for the notes
I definitely feel this is true! Anecdotally, it seems like people have left Twitter and fragmented to either Bluesky, LinkedIn, Mastodon, or given up on social media entirely. Roughly speaking, I feel the more “techy” people have gone to Mastodon, the more “industry/professional” people have gone to LinkedIn and the more “academic” people have gone to Bluesky, but that’s completely anecdotal.