LEARN: "Innovative data visualizations to engage the public with USGS science"

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202 State St #300 · Madison, WI

How to find us

On the third floor, above "Comedy on State"

Location image of event venue


This talk is our quarterly co-hosted event with Madison group Codecinella, local women software developers, students and professionals "looking to strengthen our community, and to encourage more women to become involved in the technology field." Learn more about Codecinella at their website: https://codecinella.org/

Many thanks to local startup Bunker for hosting us! https://www.buildbunker.com/


We'll have socializing and networking from 5:30pm to 6pm; you're welcome to arrive anytime in that half hour. Lindsay's presentation will begin at 6pm.


"From Stream Gage to Twitter Feed: innovative data visualizations to engage the public with USGS science"

As the world’s largest water data provider, the U.S. Geological Survey (USGS) plays a vital role in protecting life and property, monitoring available water resources, and understanding our Nation’s aquatic ecosystems. Disseminating this water data and accompanying science is just as critical as producing it; however, traditional science products are often overlooked by general audiences even though they resonate with technical ones.

Enter #dataviz. Data visualizations present an opportunity to innovate and transform the ways in which USGS shares water science through a combination of engaging displays of data, captivating design, and compelling science insights. This talk will share examples and describe the creation of these non-traditional science products which are intended for public consumption.


The State Street Capitol Parking Ramp is next door to the building; Overture Center Garage is a few blocks away.

Bus lines that come nearby: #1, #2, #3, #4, #5, #6, #11, #12, #14, #15, #19, #27, #29, #37, #47, #56, #57, #58, #70, #71, #72, #75


Bunker is wheelchair accessible.


Lindsay Platt is a Water Data Scientist for the Integrated Information Dissemination Division within the Water Mission Area at the U.S. Geological Survey (USGS). She holds a Bachelor's degree in Biological Systems Engineering from Virginia Tech, but before embarking on a traditional engineering career path, she found a passion for writing code to conduct data analyses (first in MATLAB and then in R).

Now, as a data scientist with the USGS, her primary role is to distill large or complex water data into meaningful insights through reproducible science and innovative data visualizations. She also leads the USGS R training program, which teaches other USGS scientists how to wield the power of scientific computing to create their own reproducible workflows.