<p>R-Ladies Philly are excited to collaborate with Accenture’s Philly Metro Women’s Interest Employee Resource Group (WIERG) to host a networking event focused on issues of diversity and inclusion in data. Please join us for networking and discussion of diversity and inclusion (D&amp;I) in data-related careers as well as approaches to D&amp;I in data-driven projects.</p> <p>=Estimated agenda=<br/>6:00-6:30: Food and networking (refreshments generously provided by Accenture)<br/>6:30-6:35: Intro to Alex's Lemonade Stand Foundation (Liz Scott)<br/>6:35-7:00: Intros to R-Ladies Philly and Accenture<br/>7:00-7:45: Lightning talks (see below)<br/>7:45-8:00: More networking!</p> <p>"How Improv Makes You a Better Analyst", Marieke Jackson<br/>Understanding and implementing the fundamentals of Improv comedy make you a better data scientist, coworker, and human. In this talk, we will go over the basic rules, learn how to exercise those techniques, and figure out how to incorporate them into our everyday lives. Marieke Jackson is a Data Scientist at Health Union, a yoga teacher, a long-time improviser, and your new friend. Hailing from essentially everywhere in the United States, she enjoys creativity, reason, and pancakes.</p> <p>"College Signaling to Students: Mission Statements categorized by college types and student enrollments", Jennifer Bochenek<br/>Jennifer will present her research which investigates whether there are specific differences in messaging and word choice which relate to student diversity in enrollment. Mission statements are used as a proxy for the colleges' outward facing image and policies, as they are usually written by college leadership as a representation of the goals and trajectory of the school. Jennifer is a Research Associate at Educational Testing Service (ETS) working in the Academic to Career Research Center. She has a B.S. and M.S. in Psychology and is currently working on a M.S. in Data Science at Drexel University. This project is independent of ETS.</p> <p>"TechGirlz: You Can Help Inspire Middle School Girls to Explore Tech!", Danica Pascavage<br/>Diversity in tech is ultimately an economic issue: companies perform better and even thrive with a more diverse workforce. TechGirlz is a nonprofit organization dedicated to reducing the gender gap in technology occupations, by focusing on girls at the crucial middle school age. We help facilitate free workshops to get girls interested in different kinds of technology, show them varied career options, and connect them with professionals in technology fields. Join Danica Pascavage, Outreach at TechGirlz, as she reviews TechGirlz and their TechShopz in a Box program.</p> <p>=Getting there=<br/>We are hosted by the Childhood Cancer Data Lab (www.ccdatalab.org) on the 10th floor of 1429 Walnut Street. You may need to sign in and provide a photo ID. Once you are on the 10th floor, turn left out of the elevator and head to the office at the end of the hall with blank glass doors.</p> <p>=About our event partner=<br/>We are excited to be joined by Accenture’s Philly Metro Women’s Interest Employee Resource Group for this event (WIERG).<br/>“Accenture solves [their] clients' toughest challenges by providing unmatched services in strategy, consulting, digital, technology and operations. [They] partner with more than three-quarters of the Fortune Global 500, driving innovation to improve the way the world works and lives. With expertise across more than 40 industries and all business functions, [they] deliver transformational outcomes for a demanding new digital world.” (Source: www.accenture.com/us-en/about/company-index)<br/>Check out Accenture’s New Applied Now video here: <a href="https://youtu.be/IHjNcp_4QCs" class="embedded">https://youtu.be/IHjNcp_4QCs</a></p> <p>=About the event space=<br/>Location space provided by the Childhood Cancer Data Lab, an Alex’s Lemonade Stand Foundation initiative located right here in Philadelphia (www.ccdatalab.org). The CCDL supports open science and specifically cancer research by creating tools to make biological big data easier to access, mine, and reuse.</p>