2022 SUMMER WORKSHOPS

EXPAND YOUR KNOWLEDGE THIS SUMMER

The Atlanta University Center (AUC) Data Science Initiative invites AUC faculty, staff, and graduate students to participate in interactive, virtual data science workshops. Topics are chosen to upskill and expand knowledge in various areas of data science, coding, data manipulation, machine learning, AI, and analytics. We offer a variety of workshops that target those from across disciplines. The diverse schedules aim to provide opportunities to engage in data science. Participants who successfully complete a summer workshop and its deliverables will be invited to participate in upcoming symposiums and other events.

How to Apply

Eligibility Information
Applicants must be faculty, staff, or graduate students in the AUC, have a working laptop/computer, and access to the internet.

Timeline

  • Preference is given to those who apply by April 2, 2022 
  • Deadline to apply is April 15, 2022  
  • Notifications will be sent by May 2, 2022  

Deliverables

Accepted participants agree to:

  • Attend all days and sessions.
  • Be ready to engage, focus on the task at hand, and not participate in other activities during the workshop.
  • Complete a 2-page report on how the information learned can be used in an upcoming course or research project and is due upon completion of the workshop.
  • Participate in pre- and post-surveys.

Application
Apply at: https://www.surveymonkey.com/r/2022dsisummerworkshops 

Workshop Descriptions

GeoSpatial – The Carpentries (May 12-13, ThFM; 9:30am – 1:30 PM)

his workshop focuses on working with geospatial data – managing and understanding spatial data formats, understanding coordinate reference systems, and working with raster and vector data in R for analysis and visualization. This workshop is intended for people working with geospatial data (i.e., data that can be plotted on a map). Beginning with a short introduction to essential geospatial concepts and a core R lesson, attendees will then work with specialized geospatial packages in R. This workshop provides attendees an opportunity to attain advanced skills of creating geospatial plots (i.e., maps of data distributions) but does not cover data organization or cleaning. Class size: 20 participants. Stipend: A stipend of $1000 will be paid upon completion and submission of the deliverables.  

Introduction to Data Science (May 18; W 9:00 am-5:00 pm ET) 

This is a theory-based, lecture-style workshop that discusses the data science life cycle, foundational principles, and various areas of data science. No coding is included. Class size: 30 participants. Stipend: A stipend of $500 will be paid upon completion and submission of the deliverables. 

Beginner Python Academy (May 19-20, 23-24, ThFMT:, 9:00 am-4:00 pm ET) 

Python Academy will take participants with no previous knowledge of the programming language Python to being able to write scripts and code in Python for research in their discipline or teach a module using Python. It includes a series of 3 topics: Python Basics, Essential Python Modules for Data Science, and Introduction to Machine Learning with Python. Class size: 20 participants. Stipend: A stipend of $1000 will be paid upon completion and submission of the deliverables. 

R for Genomics (May 25-26, WTh; 9:00 am-1:30 pm ET) 

This workshop is a follow-up to last summer’s “Genomics” workshop. R is one of the most widely-used and powerful programming languages in bioinformatics. R especially shines where a variety of statistical tools are required (e.g., RNA-Seq, population genomics, etc.) and in the generation of publication-quality graphs and figures. After this workshop, you can start using some sophisticated R software packages, and have a general sense of how to interpret an R script. Get through these lessons, and you are on your way to being an accomplished R user! Class size: 20 participants; those who completed 2021 Genomics will have priority. Stipend: A stipend of $500 will be paid upon completion and submission of the deliverables.   

Data Visualization w/Tableau by AUC Library (June 7, 9, 14, 16; 3:00 pm-5:00 pm ET; AUC Woodruff Library)

Data Visualization with Tableau Series by AUC Woodruff Library : On Tuesdays and Thursdays in the first 2 weeks of June, the AUC Woodruff Library will host a four-session series covering an introduction to data visualization using Tableau. Class size: 20 participants. Stipend: A stipend of $500 will be paid upon completion and submission of the deliverables. 

[IN PERSON] – Using Data to Drive Reform Through Prosecutorial Performance (June 9, Th; 9:00 am-5:00 pm ET; The Gathering Spot, Atlanta, GA)

This workshop is co-developed with the Florida International University Prosecutorial Performance Indicators team.Class size: 50 participants. Stipend: A stipend will be paid upon submission of the deliverables. This oneday workshop will be hosted in-person at The Gathering Spot located at 384 Northyards Blvd, NW, Atlanta, GA 30313. COVID-19 safety protocols will be observed.  Click here to apply by April 15 

Introduction to Data Science (June 14, T; 9:00 am-5:00 pm ET) 

This is a theory-based, lecture-style class that discusses the data science life cycle, foundational principles, and various areas of data science. No coding is included. Class size: 30 participants. Stipend: A stipend of $500 will be paid upon completion and submission of the deliverables.

Beginner R Academy (June 20-21, 24, 27 MTFM; 9:00 am-4:00 pm ET) 

The R Beginner Academy / R1 will take participants with no previous knowledge of the programming language R and RStudio to being able to write scripts and code in R for research in their discipline or teach a module using R. It includes a series of topics: R basics, data structures, importing data, exploratory data analysis, descriptive statistics, statistical analysis, and visualization. Class size: 16 participants. Stipend: A stipend of $1000 will be paid upon completion and submission of the deliverables.

Intermediate R Academy (July 7-8, 11-12, ThFMT; 9:00 am-4:00 pm ET) 

The Intermediate R Academy/R2 is for those who completed the Beginner R Academy or have previous R knowledge. Participants should come in with knowledge of how to write scripts and code in R for research in their discipline or teach a module using R. This Intermediate class will cover these topics: Intro to machine learning, linear regression analysis, cluster analysis, and classification using random forests. Class size: 16 participants.  Stipend: A stipend of $1000 will be paid upon completion and submission of the deliverables.  

Shell, Git, Programming & Plotting in Python (July 14-15, 18-19, ThFMT; 9:00 am-4:00 pm ET) 

Over the course of the workshop, instructors teach our three core topics: the Unix shell, version control with Git, and the Python programming language. Class size: 20 participants. Stipend: A stipend of $1000 will be paid upon completion and submission of the deliverables. 

[IN-PERSON] rstudio::conf (July 24-28, MTWTh; Gaylord National Resort, Washington, D.C.) 

Using the Travel & Training Support grant, the AUC DSI will 10 participants to attend the conference and workshops to improve their R/RStudio skills, complete professional development sessions, and network with the community. Attendees are encouraged to give a presentation, with proposals due March 21. Funding: AUC DSI will provide support for conference registration, airfare, and lodging expenses. Deliverables: Full reimbursement of travel costs will be provided upon completion and submission of deliverables.  

Social Science with R (July 28-29, Aug 1-2, ThFMT; 9:30 am-1:30 pm ET) 

This workshop uses a tabular interview dataset from the SAFI Teaching Database and teaches data cleaning, management, analysis and visualization. There are no prerequisites, and the materials assume no prior knowledge about the tools. We use a single dataset throughout the workshop to model the data management and analysis workflow that a researcher would use. Class size: 20 participants. Stipend: A stipend of $1000 will be paid upon completion and submission of the deliverables.  

Equity Map (August 1, M; 12:00 am-4:00 pm ET) 

The Greenlink Equity Map (GEM) helps visualize critical equity-related issues using maps and data. GEM is a product of Greenlink Analytics, an energy and equity research NGO providing data and deep industry knowledge in the clean energy space. Based out of Atlanta, Greenlink Analytics has developed methodologies to evaluate 100+ equity indicators at a neighborhood census tract level. They have a track record of conducting utility burden and equity analysis, publishing in academic journals on the issue, serving as the lead consultant and data provider for more than 50 cities equity needs, and have received awards from MIT, Georgia Tech, and the National Science Foundation for their work in the clean energy space. The workshop will explore how to use and leverage the GEM to help create equitable solutions that benefit society.  Class size: 50 participants. Stipend: A stipend of $250 will be paid upon completion and submission of the deliverables.  

Teaching Reproducible Research – Project TIER (August 4-5 & 8-9, ThFMT; 9:30 am-1:30 pm ET) 

Project TIER (Teaching Integrity in Empirical Research) promotes the integration of principles and practices related to transparency and replicability in the research training of social scientists. This workshop will introduce attendees to Project TIER’s principles and practices of integrating reproducible methods into teaching and research. The workshop will feature examples in the R programming language. Attendees should already be familiar with R or another statistical scripting language (e.g., Stata, SPSS, SAS, etc.). Attendees should also have some experience teaching courses involving applied data analysis and/or supervising data-based student research projects and expect to teach such a course again in the near future. During the workshop, attendees will create an output (such as a lab exercise or instructions for a reproducible research project) based on principles they learn in the workshop that they can use in their own teaching in the upcoming academic year. Attendees will have the option of a follow-up meeting in the summer of 2023 to discuss their experiences integrating reproducibility into their classes or personal research practices. Class size: 20 participants. Stipend: A stipend of $1000 will be paid upon completion and submission of the deliverables. 

“Data analytics has become the vital skill for business students in today’s environment. Recruiters emphasize it constantly and we are hearing from our alumni and interns returning from the summer that they need to strengthen these skills. It does not matter which area of business you plan to enter; you need to know how to understand and analyze data.”

— Dr. Keith Hollingsworth, Department of Business Administration, Morehouse College