Academic Sections

The Call for abstracts for SESUG 2024 is now closed.

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.

Academic Sections
Careers, Training, and Education (CTE)
Data Collection, Management, and Manipulation (DCMM)
Foundational SAS Skills (FSS)
Intermediate and Advanced SAS Skills (IASS)
Hands on Workshops (HOW)
Statistics, Modeling, and Analytics (SMA)
Visualizations and Reporting (VR)

Presentation Formats
  • 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
In addition to the above, projects that involve:
  • 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