BASUG is thrilled to return to meeting IN-PERSON!

Please note, this meeting will be held on a Saturday (September 23), on the beautiful campus of Stonehill College in South Easton, MA (40 minutes South of Boston). The meeting, co-hosted by SAS® and BASUG, features a panel discussion for students and early-career SAS professionals, a presentation on a framework for developing and evaluating Trustworthy AI, and a SAS programming presentation on using SAS to pull data from the web. There will be plenty of time for socializing during breakfast, breaks, and lunch. We can't wait to see you! Abstracts are listed below. If you have questions, feel free to email us: registrations@basug.org.

This meeting will not be recorded, and will not be live-streamed. We hope to see you in-person.

PRESENTATIONS

Panel Discussion: Advice for Students and Early Career SAS Professionals

Leader: Michael Salé, DPS (Chairperson, Department of Management & Business Analytics, Stonehill College)

Panelists: Jacqueline Johnson, DrPH (Principal Analytical Training Consultant, SAS); Asli Memisoglu, ScD (Sr. Director, Biostatistics, Cerevel Therapeutics); Justin Scheets, MPS (Director, Product Analytics, athenahealth); Karen Wallace, MPH (Manager, Quality Analytics, Blue Cross Blue Shield of Rhode Island)

Are you a budding data enthusiast eager to embark on a rewarding career in the realm of data analytics, particularly within the SAS ecosystem? Join us for an insightful panel discussion designed to equip you with the essential tools and knowledge needed to excel in this dynamic field. Moderated by BASUG Steering Committee member Michael Salé of Stonehill College, this panel will feature:

• Seasoned professionals with a wealth of experience in data analytics, both traditional and SAS-focused,
• Emerging professionals who have recently set foot on their data analytics journey, and
• Insights from representatives from SAS Academic Programs, offering a unique perspective on industry expectations and advancements.

In this interactive session, our esteemed panelists will share their expertise and real-world experiences, focusing on crucial aspects for early career data analytics professionals aiming to thrive within the SAS ecosystem and in data analytics in general. You will also discover the must-have skills and attributes that can enhance your appeal as a desirable candidate for SAS-centered roles. Gain insights into the latest industry trends, analytical methodologies, and technological innovations that are shaping the future of data analytics.

Join us to harness the wisdom of seasoned practitioners, gain practical insights, and chart a course towards a successful data analytics career with SAS. Whether you're a recent graduate, an aspiring analyst, or exploring a career transition, this session promises to be a pivotal step in your journey.

Trustworthy AI

Sterlina Smith, JD (Sr Manager, Data Ethics Practice, SAS)

AI is revolutionizing human life and unlocking a whole new world of innovation from helping doctors diagnose medical conditions earlier – and researchers innovate new medications to treat them – to enabling more effective conservation of threatened species and habitats. As AI becomes more prevalent, it will affect nearly every aspect of society from our professional to our personal lives. AI also poses significant risks if created, deployed, and managed without intentionality and discipline. Firms that can demonstrate responsible and ethical use of AI are likely to be more commercially successful. Consumer trust that organizations use AI responsibly is essential for continued business success. This is where Trustworthy AI can help. Trustworthy AI is a framework of principles that can support organizations in responsible AI development and implementation. It helps organizations promote human well-being, respect privacy, proactively mitigate adverse impacts, reflect diverse perspectives and be transparent about decision-making processes and inherent risks. This presentation outlines a comprehensive approach to Trustworthy AI as proposed and practiced at SAS.

How Do You Use SAS® to Access Data and APIs From the Web?

Chris Hemedinger (Director of SAS User Engagement, SAS)

Getting data from "live" internet sources is often seen as a separate step from your SAS process. Join SAS expert Chris Hemedinger as he demonstrates how to use specialized statements and techniques within SAS to pull this data from your SAS programs with no additional process. No need for a separate script in Python or cURL – SAS can do it all. Access data from any API, including services like Google Analytics, GitHub, Microsoft365 and more.

You will learn:

• Ways to use PROC HTTP as a web client to download data or use REST APIs.
• How to process API results of any type in SAS: JSON, ZIP files and more.
• To test APIs outside of SAS and debug your SAS programs that use APIs.

Presenter Biographies

Schedule

• 8:45 AM - 9:45 AM  Registration / Breakfast
• 9:45 AM - 1:15 PM    Presentations
• 1:15 PM - 2:30 PM    Lunch & Socializing