The Translational Data Analytics Institute is hosting a free summer camp that will introduce 30 young women in grades 8-10 to the exciting new discipline of data science and analytics–a growing field centered on scientific methods and processes for extracting new knowledge from data. Students who learn these skills can combine them with an unimaginably wide range of interests, from business and biology to health care and education, to city planning and social services–and they are in high demand by employers.
During camp, campers will:
In addition, ongoing learning opportunities after camp will include:
Young women who attend schools in Franklin County and will be entering grades 8, 9, or 10 in autumn 2018 are eligible to apply. Students from Columbus City Schools or Metro Early College High School are especially encouraged to apply and will be given first preference for camp slots.
The camp is free, though participants are required to attend all five days.
Yes! Lunch and snacks are provided.
Transportation will be provided between Ohio State’s Pomerene Hall (1760 Neil Ave.) and the following high schools: Linden-McKinley STEM Academy (1320 Duxberry Ave.), Columbus City Preparatory School for Girls (1390 Bryden Road), and Metro Early College High School (1929 Kenny Road). Additional locations will be considered based on those selected to attend the camp.
Buses will depart from the high schools at 8 a.m. and will depart from Ohio State in the afternoon at approximately 4:30.
If you are accepted, you will be notified by April 30, and additional materials will be sent to you.
Completed applications must be received or postmarked no later than March 30, 2018.
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What: Data Science for Women Summer Camp
When: July 16-20, 2018; 9 a.m.-4:30 p.m.
Where: Ohio State campus
Cost: The camp is free, although attendance is required all five days.
Included: Lunch, snacks, and transportation between campers’ home schools and Ohio State’s Pomerene Hall, 1760 Neil Ave.
Applications due: March 30, 2018
You can help young women interested in data science and analytics through support for the Data Science for Women Summer Camp.