SOUTHEAST SAS USER GROUP CONFERENCE: September 22^nd - 24^th

Academic Sections

The Call for abstracts for SESUG 2024 is now open! You can submit a proposal here: Paper Submissions (START)

Though the Foundational SAS Skills and Intermediate and Advanced SAS Skills sections have SAS-specific titles, integration of other software products may be relevant. All other sections permit and encourage inclusion of any software products.

• Quick Hits 10 Minutes (in the sections, no paper required)
• E-Poster: 10 Minutes (in the sections)
• 20 minutes
• 50 minutes
• 90 minutes (Hands-on-Workshops)

Academic Section Descriptions

Careers, Training, and Education (CTE)

Co-Chairs: Jonathan Duggins and John Betz

• Career development, opportunities, and associated skill development for programmers, statisticians, data scientists, and related careers. .
• Training methods for professionals—in person or virtual, individual or group, any software platforms.
• SAS in the classroom—OnDemand and Viya for Learners in particular, but other platforms also.

Data Collection, Management, and Manipulation (DCMM)

Co-Chairs: Brooke Delgroffe and Isaiah Gerber

As opposed to what might fall into FSS or IASS, topics that use any tools to:

• Comply with standards, such as CDISC
• Interact with APIs or do web scraping
• Work with RDBMS products
• Work with other types of non-native SAS structures

• Search techniques for data anomalies or errors and/or repair methods for the same
• Storage and retrieval strategies, especially as they relate to efficiency

Foundational SAS Skills (FSS)

Co-Chairs: Brian Varney

• Basic data step concepts—concatenating/interleaving, match merge, common functions and their uses, choosing rows and columns for output (potentially to multiple data sets), conditional logic.
• General use of base procedures.
• Global statements, ODS foundations.
• Basic integration with other platforms, e.g. Power BI and Tableau.

Intermediate and Advanced SAS Skills (IASS)

Co-Chairs: Mark Jordan amd Jak Andan

• SQL, FEDSQL, DS2 (also may go into DCMM in some cases)
• Macro language
• FCMP
• Advanced DATA step (may also be DCMM)—arrays, hash objects, first./last., reading and writing text files or unstructured files.
• Specialized procedures (e.g. TEMPLATE) or advanced use of common procedures (advanced applications of statistical procedures will go to SMA, graphics to VR).
• Integration or comparison with other platforms including (but not limited to): Python, R, Tableau, PowerBI, Microsoft Office, various RDBMS products, etc.

Hands On Workshops (HOW)

Co-Chairs: Jay Iyengar and Nat Wooding

• Interactive topics that fit into a 90 minute window
• Any software platform(s)

Statistics, Modeling, and Analytics (SMA)

Co-Chairs: Abbas Tavakoli and Mostafa Zahed

• Predictive modeling of any type
• Inferential methods/models
• Classification, clustering, dimension reduction
• Trial/experimental design
• Survey methodology
• Other statistics/analytics
• Any software platform(s)

Visualization and Reporting (VR)

Co-Chairs: Louise Hadden and Joshua Cook

• Graphs, charts, maps
• Tables and reports (styles, structures)
• Dynamic versions of either of the above
• Automation of large sets of either of the above