South Big Data Hub / Education & Workforce Working Group

Presenter: Karl Schmitt
Institution: Trinity Christian College

Presenter: Rachel Levy
Institution: North Carolina State University

Presenter: Somya D. Mohanty
Institution: University of North Carolina – Greensboro

Presenter: Ashok Krishnamurthy & Isma Gilani
Institution: University of North Carolina - Chapel Hill

July 2022
Presenter: Lisa Federer
Institution: National Library of Medicine

July 2022
Presenter: Pramod Misra

Fostering data science pathways from associate’s to bachelor’s degrees
Presenter: Nicholas Horton
Amherst College

S.E.E.D.S Outcome: Data4Kids: Virtually Teaching Kids about Data Science; Presenter: Jonathon Schwabish
Urban Institute

S.E.E.D.S Outcome: Evaluation and Demonstration of Open Data Portal Technology for Smart Cities and Data Science for Social Good
Presenter: Seema Iyer
University of Baltimore

May Education & Workforce Working Group
Data & the African Diaspora
Presenter: Sonya Dennis
Morehouse College

April 2022
HBCU-Data Science Consortium: Overview of the Mission and Opportunities for Collaboration
Presenter: Jason Black
Institution: Florida A&M University

April 2022
Improving College Success Through Predictive Modeling
Presenter: Mallory Sheff
Institution: DataKind

March 2022
Ashok Goel
Georgia Tech

March 2022
Tim Chartier
Davidson College

South Big Data Hub Education & Workforce Working Group
December 2021
Karl Schmitt, Trinity Christian College, Program Coordinator for Data Analytics

South Big Data Hub Education & Workforce Working Group
December 2021:
Dr. Marc Boumedine, University of Virgin Islands

February 2022
Use of educational data to predict students’ performance
Thereza Padilha; Georgia Tech

February 2022
Using hackathons and datathons to turn despair into empowerment;
Patty Ordonez Franco; University of Puerto Rico – Rio Piedras

January 2022
HerWILL: A High Tech Workforce Development Program
Farhana Hasan; HerWILL

January 2022
DS+X: Developing Data Science Curriculum for Postdoctoral Scholars in Biology & Medicine
Speaker: Arko Barman; Rice University

November 2021
Graduate Programs at University of Delaware's Center of Bioinformatics and Computational Biology
Presenter: Dr. Karen Hoober; University of Delaware

October 2021: A journey through data science research at undergraduate-teaching institutions: Thematic programs, conferences, courses, and partnerships towards expanding computational literacy in local communities

Presenter: Dr. Alessandro Selvitella; Purdue University Fort Wayne

Link to Presentation Notes - https://drive.google.com/drive/folders/17wWOdk9MKUMJDNJK4Lv6evcTnq5CkXov?usp=sharing

November 2021
Presenter: Dr. Da Yan; University of Alabama at Birmingham

November 2021
South Hub Education & Workforce Working Group
Presenter: Dr. Legand Burge; Howard University

October 2021:
Building a School of Data Science and a Undergraduate Curriculum; Dr. Brian Wright; University of Virginia

August 2021 South Big Data Hub Education & Workforce Working Group:

Case study: Applied Data Science & Machine Learning Capstone designed for externally-funded projects; Dr. Arko Barman; Rice University

South Big Data Hub Education & Workforce Working Group
September 2021:
SAS Global Academic Program: A Partner to Enable Data Science and Analytics Education ;Dr. Lori Downen; SAS

South Big Data Hub Education & Workforce Working Group Meeting
August 2021
Presenter: Dr. Jian Tao; Texas A&M

Dr. Julia Stoyanovich

"Teaching Responsible Data Science"

Julia Stoyanovich is an Assistant Professor at New York University in the Department of Computer Science and Engineering at the Tandon School of Engineering, and the Center for Data Science. Julia's research focuses on responsible data management and analysis practices: on operationalizing fairness, diversity, transparency, and data protection in all stages of the data acquisition and processing lifecycle. She established the Data, Responsibly consortium (https://dataresponsibly.github.io/), and served on the New York City Automated Decision Systems Task Force, by appointment from Mayor de Blasio. Julia developed and is teaching courses on Responsible Data Science at NYU (https://dataresponsibly.github.io/courses/spring20/). In addition to data ethics, Julia works on management and analysis of preference data, and on querying large evolving graphs. She holds M.S. and Ph.D. degrees in Computer Science from Columbia University, and a B.S. in Computer Science and in Mathematics and Statistics from the University of Massachusetts at Amherst. Julia's work has been funded by the NSF, BSF and by industry. She is a recipient of an NSF CAREER award and of an NSF/CRA CI Fellowship.

Dr. R.N. Uma

Talk Title: Data Science for Social Justice: An Approach to Broaden Participation

Bio: Dr. R. N. Uma is a Professor of Computer Science in the Department of Mathematics and Physics at NC Central University, Durham, NC, USA. Her research interests include data science, scheduling and resource allocation with applications to cloud computing, robotics, wireless sensor networks, multimedia networking, and large logistics problems. Her research has spanned from purely theoretical to experimental and simulations. She has published several papers in leading conferences and journals, and a book, in her areas of expertise. On the education front, she is interested in increasing the enrollment and retention of minority students, particularly in the Mathematical Sciences including Computer Science, and towards this end has implemented several federally funded projects. She has served her professional community in a variety of roles including guest editor, TPC Co-Chair, and Publications Chair in addition to routine roles such as TPC Member, Reviewer and Session Chair. She received her BSc degree in Mathematics from the University of Madras, Chennai, India, her ME degree in Computer Science from the Indian Institute of Science, Bangalore, India, and her PhD degree in Computer Science from NYU Tandon School of Engineering, New York. She is a senior member of IEEE.

Talk #1:
Dr. David Beck

Talk Title: Domain Specific Graduate Training in Data Science in the Context of a University Wide Approach

Bio: David Beck is a Research Associate Professor in Chemical Engineering at the University of Washington (UW), a Senior Data Science Fellow and Director of Research and Education for the eScience Institute. Founded in 2008, UW’s eScience Institute serves to advance data-intensive discovery in all fields from the humanities to science, engineering and medicine. Dr. Beck’s research explores the intersection of molecules and data science, or molecular data science, and its applications to energy, environment and health. Beck is the associate director of the NSF Research Traineeship Data Intensive Research Enabling Clean Tech (DIRECT) and co-director of the Engineering Data Science Institute (EDSI) at UW. He is an adjunct faculty in the Paul G. Allen School for Computer Science and the Department of Environmental and Occupational Health Sciences and coordinates the UW Data Science Seminar.

Talk #2 at 21:21:
Dr. David Gutman

Talk Title: The Human Tumor Atlas Network Data Coordinating Center

Bio: Dr. David Gutman received his PhD in Neuroscience and MD from Emory University School of Medicine and is now an associate professor of Neurology. Dr. Gutman is also a staff Physician at the Atlanta VA Medical Center on the Psychiatric Inpatient Unit. Dr. Gutman's research focuses on developing informatics technologies to process and analyze large imaging data sets, and is leading the imaging informatics efforts to integrate data for the Human Tumor Atlas Network.

Dr. Karl Schmiudt

Talk Title: Keeping Academic Data Science On-Track: What to Assess and How

Bio: Karl is engaged in a variety of Data Science Educational, most recently by serving as a member of the ACM Data Science Task Force to develop their curricular recommendations for Data Science. He was the founding director of Valparaiso University's undergraduate Data Science degree and ran Valpo's Masters in Analytics and Modeling program for 5 years. Karl is now the Program Coordinator for Data Analytics at Trinity Christian College and is part of implementing the new program there, alongside a new Data Center. Karl specializes in data science as applied to networks and graphs. He’s done work with applying network algorithms to improve genome assembly and published fundamental work in understanding K-Dense graphs. He’s also very interested in finding ways to connect data science with social good, especially through the classroom and experiential learning. Karl has taught designed courses in Optimization, Data Mining, and both Introductory and Advanced Data Visualization. He’s also designed and implemented an Introduction to Data Science course targeted at students with minimal programming experience that centers around a data-driven service-learning project.

September 2020

Presenter: Dr. Aryya Gangopadhyay
Institution: UMBC
Title: "Data Science for Social Good in Urban Areas"

View Speaker Notes - https://drive.google.com/drive/folders/17wWOdk9MKUMJDNJK4Lv6evcTnq5CkXov?usp=sharing

http://sbdh-prod.ideas.gatech.edu/resources/newsblog/education-and-workforce-working-group

Education Working Group Introduction
Dr. Renata Rawlings-Goss
Executive Director, South Big Data Hub

http://sbdh-prod.ideas.gatech.edu/resources/newsblog/education-and-workforce-working-group

Date: 03/05/21
Presenter: Ben Marwick
Institution: University of Washington
Title: "Data Skills and Data Studies: A New Interdisciplinary Minor in Data Science for Arts, Humanities and Social Sciences"

http://sbdh-prod.ideas.gatech.edu/resources/newsblog/education-and-workforce-working-group

Date: 03/05/21
Presenter: Jonathan Schwabish
Institution: Urban Institute
Title: "Teaching Data Visualization to Kids"

http://sbdh-prod.ideas.gatech.edu/resources/newsblog/education-and-workforce-working-group

Date: 02/05/21
Presenter: Hunter Schafer
Institution: University of Washington
Title: "Designing CSE 163, an Intermediate Data Programming course"

http://sbdh-prod.ideas.gatech.edu/resources/newsblog/education-and-workforce-working-group

Date: 02/05/21
Presenter: Karl Schmitt
Institution: Trinity Christian College
Title: "Keeping Academic Data Science on Track"

http://sbdh-prod.ideas.gatech.edu/resources/newsblog/education-and-workforce-working-group

Date: 01/08/21
Presenter: Adam LaMee
Institution: UCF
Title: "Getting into K12 Classrooms: a large-scale partnership between UCF Physics and local schools integrating data science into core middle grades curriculum with free, open source materials"

http://sbdh-prod.ideas.gatech.edu/resources/newsblog/education-and-workforce-working-group

Date: 01/08/21
Presenter: Amanda Herring
Institution: Baylor University
Title: "Navigating Undergraduate Research Projects Online"

http://sbdh-prod.ideas.gatech.edu/resources/newsblog/education-and-workforce-working-group

Date: 12/04/20
Presenter: Renata Rawlings-Goss
Institution: South Big Data Hub
Title: "2021 Opportunities for Data Science Education and Resources"

http://sbdh-prod.ideas.gatech.edu/resources/newsblog/education-and-workforce-working-group

Date: 11/06/20

Presenter: Dr. Cheryl A. Swainer
Institution: Clafin University
Title: "How Secure Is Your Data?"

http://sbdh-prod.ideas.gatech.edu/resources/newsblog/education-and-workforce-working-group

Date: 11/06/20
Presenter: Dr. Elieu Huerta
Institution: Illinois University
Title: "Training the Next Generation of AI Practitioners"

http://sbdh-prod.ideas.gatech.edu/resources/newsblog/education-and-workforce-working-group

Date: 10/02/20

Presenter: Dr. Le Xie
Institution: Texas A&M University
Title: "A Cross-Domain Approach to Analyzing the Short-Run Impact of COVID-19 on the U.S. Electricity Sector"

http://sbdh-prod.ideas.gatech.edu/resources/newsblog/education-and-workforce-working-group