#UCDavis summer program on “Girls Saving the World through Engineering”

The UC Davis Department of Civil and Environmental Engineering will be offering a free five day camp will engage girls in sustainable engineering design: "Girls Saving the World through Engineering." Through hands-on activities, design challenges, and discussions, girls will 1) understand how civil engineers help the public through environmentally-friendly, cost-effective solutions; 2) discover emerging areas in civil engineering, including bio-inspired design, and 3) envision different pathways to engineering and for engineers. The camp is funded by the National Science Foundation and organized through the Center for Bio-mediated, Bio-inspired Geotechnics. The Center focuses on ecologically friendly, cost-effective solutions, inspired by nature, for development and rehabilitation of resilient and sustainable civil infrastructure systems. It serves as a nexus for two transformative trends in engineering: biologically-based design and sustainability.

Please see our registration website for more information: https://www.eventbrite.com/e/girls-saving-the-world-through-engineering-day-camp-tickets-24789427846.

Dates: July 25th to July 29nd (9am – 4pm)

Location: 1065 Kemper Hall, UC Davis

Ages: Girls entering 3rd, 4th and 5th grades

Logistics: Breakfast, lunch and snacks will be provided for students. The camp will run from 9am to 4pm each day. To allow for transportation flexibility, students can be dropped off between 8am and 9am and picked up between 4pm and 5pm each day.

Register Online at http://www.eventbrite.com/e/girls-saving-the-world-through-engineering-day-camp-tickets-24789427846

Contact: Colleen Bronner, Ph.D. (cebronner

Author: Jonathan Eisen

I am an evolutionary biologist and a Professor at U. C. Davis. (see my lab site here). My research focuses on the origin of novelty (how new processes and functions originate). To study this I focus on sequencing and analyzing genomes of organisms, especially microbes and using phylogenomic analysis

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