Sharing what you build with those that you built upon puts energy back into the open source and open data systems. Free does not have to mean invisible.

Share back what you built with open source and open data maintainers

Why I joined the Public Interest Tech Webring. Plus, a little on the code necessary to add it to my website's footer

Joining the Public Interest Tech Webring

Thoughts on request request for information on NASA's proposed public access plan

Thoughts on NASA Public Access Plan

How to find repositories ideal for first-time contributions without having to read 2000 READMEs.

Finding repositories to make contributions to within large organizations on GitHub

Learnings from an experiment to see if a large language model could be used to generate geologic descriptions of arbitrary point locations around the world.

On Large Language Models and Roadside Bot Geologists

A primer on data dot gov for people talking about it in the news and on social media

What people are getting wrong about data.gov

Using Internet Archive Wayback Machine and data.json to detect missing datasets

Measuring changes in government data over time with the Wayback Machine

What a relative elevation map referenced against large rivers and coastline can tell us about why Buffalo Bayou flows east instead of south south east like many rivers in the area.

Houston has topography: Looking at why Buffalo Bayou does not drain to the sea, directly

A look at how metadata from code repositories and package managers can be used to create new open source experience.

Opportunities to leverage code repository and package metadata for new open source experiences

A post mortem on a prototype web application that generates geology field trip statements for point locations. Plus, thoughts on how LLMs can improve geologic maps.

Comparing geologic maps and large language models: All models are wrong, some are useful

Thoughts on why the traditional "What Eats What For Breakfast" thought pieces should be an ordered list rather than comparison of two items. 

What Eats What For Breakfast in an Enterprise Setting

A hackathon project to get floodplain map data delivered as speech and experienced while on the move. Now wondering if another type of data would make more sense for this type of approach?

Maps that Speak

Learnings from adding RSS to this next.js website

Adding RSS to this Website

Lessons learned trying to find GEOJSONs of FEMA floodplains.

Finding Floodplain GEOJSONs

A blog post describing moving this website from WordPress to Next.js & TailwindCSS.

Website Migration from WordPress to Next.js & Tailwind CSS

A post laying out information useful for finding a NASA contractor position.

How to Find a NASA Contractor Job

What if Awesome Lists were not just lists, but enabled views of the open source community?

Visualization the Implicit Community within an Awesome List

Wellio & Wellioviz are open source JavaScript libraries for converting LAS well log files into JSON and viewing them in the browser.

Visualizing Well Logs on the Web with Wellio & Wellioviz

Creating New Metadata from Old Metadata Using Machine-Learning: A Poster Presentation at American Geophysical Union Conference 2019

Using Machine-Learning to Reuse Metadata: Poster at AGU 2019

Stratigraphic pick prediction via supervised machine-learning: Predictatops

This post is directed at houston-based geoscience types starting off on a month to years long process of improving their skills in data science and maybe eventually getting a job in data science. It lays out the things I’ve found myself telling people in real life.

Geoscience to Data Science Starter Pack

A collection of hypotheses, ideas, and biases related to predicting chronostratigraphic surfaces in well logs.

Half-baked thoughts on predicting chronostratigraphic surfaces

This weekend I finally got to do a hackathon project I have been wanting to try for more than two years. It leverages machine-learning to mimic human-created stratigraphic picks.

Using Machine-learning to Extend Stratigraphic Surfaces, a hackathon project

Four conferences, two hackathons, and a lot of meet-ups: Analyzing what I have gotten from technical gatherings outside of work this year.

What do I get out of conferences?

Presenting at Johnson Space Center Data Science Day on the history of data visualization tooling.

Presenting at Johnson Space Center Data Science Day

Blog post about setting up my first personal seismometer. Raspberry Shake is built on top a Raspberry Pi and records earth quakes and other seismic waves.

International Nodebots Day

Raspberry Shake – Personal Seismometer

Presented a talk at Houston Data Visualization Meetup on THE CHANGING LANDSCAPE OF DATA VISUALIZATION TOOLS IN LARGE ORGANIZATIONS.

All Posts

Share back what you built with open source and open data maintainers

Joining the Public Interest Tech Webring

Thoughts on NASA Public Access Plan

Finding repositories to make contributions to within large organizations on GitHub

On Large Language Models and Roadside Bot Geologists