R25 e-Scholar Account

Program Overview

BDHSC proposed this R25 emerging scholar (R25 e-Scholar) training program for underrepresented minority undergraduate students to foster their interests and competencies in BDA in infectious disease research in response to PAR-21-258, “NIAID Research Education Program Advancing the Careers of a Diverse Research Workforce.” As an important stage of the workforce development pipeline, the R25 training program for underrepresented minority undergraduate students will contribute to addressing the nationwide shortage of a diverse data science workforce in NIAID-focused areas.

The training program aims to foster a more diverse research environment at USC and across the state and encourage underrepresented minority undergraduate students to pursue Big Data research in the prevention, treatment, discovery, prediction, and forecasting of HIV, COVID-19, and other infectious, immunologic, and allergic diseases.

Courses / Schedule

Week 1

Day 1

Introduction to Big Data

Course Instructor:

Bankole Olatosi

Day 2

Introduction to Healthcare Administrative Data

Course Instructor:

Peiyin Hung

Day 3

Introduction to Social Media Data

Course Instructor:

Ehsan Mohammadi

 

Day 4

Introduction to Geospatial Data

Course Instructors:

Melissa Nolan and Huixuan Li

Day 5

Introduction to Proteomics/Bioinformatics Data

Course Instructors:

Chris Sutton and Jie Li

Week 2

Introduction to Big Data Analytics

Course Instructors:

Andrew Ortaglia and Yanan Zhang

Syllabus

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Week 3

Introduction to Infectious Disease Epidemiology

Course Instructor:

Mufaro Kanyangarara

Syllabus

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Week 4

Introduction to Biostatistical Machine Learning for Public Health

Course Instructor:

Alexandar McLain

Syllabus

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Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur.

Week 5

Introduction to Public Health Research Design

Course Instructor:

Monique Brown

Syllabus

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Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur.

Week 6

Professional and Career Development

Course Instructor:

Kay Thomas

Syllabus

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Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur.

Introduction to Big Data

Syllabus

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Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur.

Introduction to Healthcare Administrative Data

Syllabus

Course Instructors and Contact information:

-Dr Melissa Nolan

Office location: Discovery Building Room 327

Office phone number: 803-777-8932

Work email: msnolan@mailbox.sc.edu

-Dr Huixuan Li

Work email: huixuan@email.sc.edu

Learning Objectives:

Students successfully completing this course will be able to:

  1. Understand fundamental geospatial concepts and terminology
  2. Demonstrate basic use of industry standard GIS software
  3. Describe real-world applications of geospatial techniques in academia, government and industry

Textbook and Reading Material:

The following textbook is optional, but recommended for students who want to continue their GIS learning beyond the one day workshop.

-“Introduction to Geospatial Technology, 6th Edition” by Bradley A Shellito, Publisher: W. H. Freeman, Publication Date: November 15, 2022, ISBN 10: 1319498620

Evaluation Criteria:

Homework will not be assigned. Students will be graded as either pass/fail. This grade will be assigned through class participation (e.g. asking questions during lecture, taking part in breakout activities, etc.).

Time frame

Topic

Lecture

Hands-on Activity

08:30-10:00 

Exploring GIS data

What are GIS data elements and where do we get them from

Logging in to ArcGIS and familiarize yourself with Living Atlas and other datasets

10:00-10:15

Break

10:15-11:45

Spatial modelling

Learn about various spatial statistics and modelling methods

Perform data queries, and clustering/hotspot analysis

11:45-13:15

Lunch

13:15-14:45

Remote sensing

Principles and applications of imagery data

Google Earth, Landsat, and explorer breakout activities

14:45-15:00

Break

15:00-16:30

Applied GIS methods

Discover ways that government and community partners use GIS methods in their every day

Story map and social sensing breakout activities

Introduction to Social Media Data

Syllabus

Course Instructors and Contact information:

-Dr Melissa Nolan

Office location: Discovery Building Room 327

Office phone number: 803-777-8932

Work email: msnolan@mailbox.sc.edu

-Dr Huixuan Li

Work email: huixuan@email.sc.edu

Learning Objectives:

Students successfully completing this course will be able to:

  1. Understand fundamental geospatial concepts and terminology
  2. Demonstrate basic use of industry standard GIS software
  3. Describe real-world applications of geospatial techniques in academia, government and industry

Textbook and Reading Material:

The following textbook is optional, but recommended for students who want to continue their GIS learning beyond the one day workshop.

-“Introduction to Geospatial Technology, 6th Edition” by Bradley A Shellito, Publisher: W. H. Freeman, Publication Date: November 15, 2022, ISBN 10: 1319498620

Evaluation Criteria:

Homework will not be assigned. Students will be graded as either pass/fail. This grade will be assigned through class participation (e.g. asking questions during lecture, taking part in breakout activities, etc.).

Time frame

Topic

Lecture

Hands-on Activity

08:30-10:00 

Exploring GIS data

What are GIS data elements and where do we get them from

Logging in to ArcGIS and familiarize yourself with Living Atlas and other datasets

10:00-10:15

Break

10:15-11:45

Spatial modelling

Learn about various spatial statistics and modelling methods

Perform data queries, and clustering/hotspot analysis

11:45-13:15

Lunch

13:15-14:45

Remote sensing

Principles and applications of imagery data

Google Earth, Landsat, and explorer breakout activities

14:45-15:00

Break

15:00-16:30

Applied GIS methods

Discover ways that government and community partners use GIS methods in their every day

Story map and social sensing breakout activities

Introduction to Geospatial Data

Syllabus

Course Instructors and Contact information:

-Dr Melissa Nolan

Office location: Discovery Building Room 327

Office phone number: 803-777-8932

Work email: msnolan@mailbox.sc.edu

-Dr Huixuan Li

Work email: huixuan@email.sc.edu

Learning Objectives:

Students successfully completing this course will be able to:

  1. Understand fundamental geospatial concepts and terminology
  2. Demonstrate basic use of industry standard GIS software
  3. Describe real-world applications of geospatial techniques in academia, government and industry

Textbook and Reading Material:

The following textbook is optional, but recommended for students who want to continue their GIS learning beyond the one day workshop.

-“Introduction to Geospatial Technology, 6th Edition” by Bradley A Shellito, Publisher: W. H. Freeman, Publication Date: November 15, 2022, ISBN 10: 1319498620

Evaluation Criteria:

Homework will not be assigned. Students will be graded as either pass/fail. This grade will be assigned through class participation (e.g. asking questions during lecture, taking part in breakout activities, etc.).

Time frame

Topic

Lecture

Hands-on Activity

08:30-10:00 

Exploring GIS data

What are GIS data elements and where do we get them from

Logging in to ArcGIS and familiarize yourself with Living Atlas and other datasets

10:00-10:15

Break

10:15-11:45

Spatial modelling

Learn about various spatial statistics and modelling methods

Perform data queries, and clustering/hotspot analysis

11:45-13:15

Lunch

13:15-14:45

Remote sensing

Principles and applications of imagery data

Google Earth, Landsat, and explorer breakout activities

14:45-15:00

Break

15:00-16:30

Applied GIS methods

Discover ways that government and community partners use GIS methods in their every day

Story map and social sensing breakout activities

Introduction to Proteomics/Bioinformatics Data

Syllabus

Course Instructors and Contact information:

-Dr Melissa Nolan

Office location: Discovery Building Room 327

Office phone number: 803-777-8932

Work email: msnolan@mailbox.sc.edu

-Dr Huixuan Li

Work email: huixuan@email.sc.edu

Learning Objectives:

Students successfully completing this course will be able to:

  1. Understand fundamental geospatial concepts and terminology
  2. Demonstrate basic use of industry standard GIS software
  3. Describe real-world applications of geospatial techniques in academia, government and industry

Textbook and Reading Material:

The following textbook is optional, but recommended for students who want to continue their GIS learning beyond the one day workshop.

-“Introduction to Geospatial Technology, 6th Edition” by Bradley A Shellito, Publisher: W. H. Freeman, Publication Date: November 15, 2022, ISBN 10: 1319498620

Evaluation Criteria:

Homework will not be assigned. Students will be graded as either pass/fail. This grade will be assigned through class participation (e.g. asking questions during lecture, taking part in breakout activities, etc.).

Time frame

Topic

Lecture

Hands-on Activity

08:30-10:00 

Exploring GIS data

What are GIS data elements and where do we get them from

Logging in to ArcGIS and familiarize yourself with Living Atlas and other datasets

10:00-10:15

Break

10:15-11:45

Spatial modelling

Learn about various spatial statistics and modelling methods

Perform data queries, and clustering/hotspot analysis

11:45-13:15

Lunch

13:15-14:45

Remote sensing

Principles and applications of imagery data

Google Earth, Landsat, and explorer breakout activities

14:45-15:00

Break

15:00-16:30

Applied GIS methods

Discover ways that government and community partners use GIS methods in their every day

Story map and social sensing breakout activities