E&O: Diversity in Data Science and Machine Learning Conference : October 17-18, 2019

 

 

Registration for this event is by invitation only.

** Deadline for registrations was September 5, 2019 **

Location

This workshop will be held at Interdisciplinary Research Building, located at Howard University, in Washington, D.C.

Description

In collaboration with major HBCU’s, SAMSI is organizing a Diversity in Data Science conference at Howard University, Washington DC to bring together a group of undergraduate students and academic and industry experts on data science. The goal of the workshop is to expose undergraduate students and participants to the various aspects of data science and its impactful changes across industries and discuss the impacts of diversity of all kinds on the field of AI and data science. The conference includes data science expert panelists, student panels and professional development activities for students interested in graduate school.

** Planning for this event is ongoing. As more information is provided, it will be updated here. **

Schedule and Supporting Media

Printed Schedule
Poster

Thursday, October 17, 2019
Interdisciplinary Research Building, Howard University

Time Description Speaker Slides
8:30am Breakfast/Coffee
8:45-9:00am Introductions Dr. Sudipta Dasmohapatra, Associate Director of Diversity, SAMSI
9:00-9:05am Welcome Rubin Patterson, Dean, College of Arts and Sciences, Howard University
9:00-10:00am Key Note: The Story of Data Science and Machine Learning Ernest Fokoue, Assoc. Professor, School of Mathematical Sciences, Rochester Institute of Technology
10:00-10:35am Coffee Break
10:35-11:35am Plenary Presentation: From Mathematics to Education to Data Science: An Unanticipated Journey Valerie Nelson, NSA
11:35am-12:35pm Industry Panel Discussion: Diversity in Data Science
Jonathan Bryan, Flatiron Health
Valerie Nelson, NSA
Shree Whitaker Taylor, Delta Decisions of DC and Georgetown University
12:35-1:30pm Box Lunch
1:30-2:30pm Plenary Presentation: Exploring the Geography of Health in the US: The Impact of Health Factors and County-Level Demographics; Biostatistics, Data Science & More Loni Tabb, Assoc. Professor, Dept. of Epidemiology and BioStatistics, Drexel University
2:30-3:30pm Graduate School Application Jonathan Bryan, Flatiron Health
Mansoor Haider, Associate Director, SAMSI & Professor, N.C. State University
3:30-3:50pm BREAK
3:50-4:50pm Graduate Student Panel: Interactive Q & A Ezinne Nwankwo, PhD student, Statistical Science, Duke University
Grace Conte, PhD Student, Mathematics, University of North Carolina at Chapel Hill
5:00-7:00pm Student Poster Session

Friday, October 18, 2019
Interdisciplinary Research Building, Howard University

Time Description Speaker
8:30-9:00am Breakfast/Coffee
9:00-10:00am Plenary Presentation: Beyond the Buzzword: A Look at Data Science in Practice and How You Can Be a Part of It Maria Tackett, Asst. Professor of Practice, Duke University
10:00-10:30am Co-Organizers Panel
Dr. Kimberly Weems, NC Central University
Dr. Seongtae Kim, NC A&T State University
Dr. Bhikhari Tharu, Spelman University
Dr. Abdul-Aziz Yakubu, Howard University
10:30-10:50am BREAK
10:50-11:50am Plenary Presentation: Fast Rising Applications of Machine Learning in the Real World Shaun Gittens, Director, MasterPeace Solutions
12:00-12:30pm Lunch and Adjourn

Questions: ugworkshop@samsi.info