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Come on out and learn about science on a guided tour at UW Madison's geology museum! Kids more than welcome. ABOUT Our museum serves both the scientific community and the public at large. In addition to the hundreds and hundreds of rocks, minerals, and fossils on display, our collection contains over 120,000 geological and paleontological specimens used in education and research. Our museum staff studies the history, evolution, and diversity of the Earth’s geologic record and shares these new discoveries with our communities through our exhibits, programs, and publications. TRANSPORTATION AND PARKING Lot 54 at 112 North Chart Street is free on Saturdays. The other nearest UW parking lots are Lot 80 (beneath Union South) and Lot 17 (off of Engineering Drive). There are meters located on Monroe Street outside of Camp Randall Stadium, or there are two-hour unmetered spots on the streets south of the museum (but it is often difficult to find an open spot). Buses operate regularly on University Avenue, W. Johnson Street, and Park Street, all of which are within walking distance of the museum. http://geoscience.wisc.edu/museum/about/visit/ ACCESSIBILITY The north, east, and west entrances of the building are accessible, with gentle slope. Lot 54 is free on Saturdays & has disabled parking. UW Madison also has an accessible walking route map: https://map.wisc.edu/accessible-pedestrian-routes.pdf
Come on out and celebrate the beauty of a Wisconsin autumn! Eplegaarden is a local pick your own apple orchard, pumpkin patch, and raspberries. Once there, activities will include walking around the farm, picking apples/raspberries, visiting the petting farm, and relaxing to some folk and bluegrass music. More details to come as the day gets closer.
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/ SCHEDULE 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. ABOUT THE TALK "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. TRANSPORTATION 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 ACCESSIBILITY Bunker is wheelchair accessible. ABOUT THE SPEAKER 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.