Bio

Hi! My name is Lauren and I am new to Earth Data Science! I am passionate about historic preservation and architectural history and would love to somehow involve that knowledge into what I will accomplish in the certificate course. I am also an avid baker (at high altitude), breads, cakes, pastries, cookies, pretty much anything you can think of. While baking and historic preservation may seem unrelated to Earth Data Science, they can relate by being very intricate and detailed in nature.

Projects:

• First Map - The Great Mosque/Cathedral of Cordoba, Spain
• Climate Coding - Average Annual Temperature Over Time in St. Petersburg, Russia
• Species Distribution - Bobcat Migration Over Time
• Redlining and Urban Green Space Relationship - Philadelphia

• Habitat Suitability in Comanche and Pawnee National Grasslands - Rocky Mountain Juniper

• Urban Greenspace and Depression Prevalence in Denver

Educational Background

• Bryn Mawr College: Bryn Mawr, PA - B.A. magna cum laude, December 2019

  Double Major in Growth and Structure of Cities and International Studies

• University of Colorado, Boulder: Student, Expected Completion Date - June 2025

  Earth Data Analytics Foundations Graduate Certificate

Professional Background

• Landmark Preservation Inspector: current role
• … Add more later

Contact Info

• GitHub Account: @brglea
• LinkedIn: @lauren-gleason

Questions:

* What I’m Excited About Learning About Earth Data Science

I am excited to learn how to use different tools and types of data to work on projects and be proficient enough to start a career in this.

* Questions I’d like to Answer Using Earth Data Science

• What can Earth Data Science tell us about historic preservation efforts? There are frequesnt issues with structural stability in part due to deffered maintenance, but also due to changes in the earth upon which structures sit, and climate change increasing flooding or fire potential to historic structures and places. One of the largest problems I see are front porches sinking and or pulling off the face of the front facade. Another issue I see is foundation/ structural issues with masonry due to moisture (and lack of maintenace).
• How can Earth Data Science merge with other discplines/ industries to share new insights?