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

 

 

Location

This workshop was 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 brought together a group of undergraduate students and academic and industry experts on data science. The goal of the workshop was 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 included data science expert panelists, student panels and professional development activities for students interested in graduate school.

Schedule and Supporting Media

Printed Schedule
Poster

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

Description Speaker Slides
Introductions Dr. Sudipta Dasmohapatra, Associate Director of Diversity, SAMSI
Welcome Rubin Patterson, Dean, College of Arts and Sciences, Howard University
Key Note: The Story of Data Science and Machine Learning Ernest Fokoue, Assoc. Professor, School of Mathematical Sciences, Rochester Institute of Technology
Plenary Presentation: From Mathematics to Education to Data Science: An Unanticipated Journey Valerie Nelson, NSA
Industry Panel Discussion: Diversity in Data Science
Jonathan Bryan, Flatiron Health
Valerie Nelson, NSA
Shree Whitaker Taylor, Delta Decisions of DC and Georgetown University
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
Graduate School Application Jonathan Bryan, Flatiron Health
Mansoor Haider, Associate Director, SAMSI & Professor, N.C. State University
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
Student Poster Session

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

Description Speaker
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
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
Plenary Presentation: Fast Rising Applications of Machine Learning in the Real World Shaun Gittens, Director, MasterPeace Solutions

Questions: ugworkshop@samsi.info