1. Residency Decisions Made Easy: UW-Madison’s Automated Process Presenter Info: Aaron Apel adapel@em.wisc.edu

2. Existing processes for collecting student residency information. What works, and what doesn’t? Identifying potential solutions Development and implementation of the Residency Smart Application (RSA Overview

3. EXISTING ADMISSION APPLICATION PROCESSES Collecting Residency Data

4. Office of Admissions and Recruitment – Undergraduate (UW System application) Graduate School (Custom application) Graduate School of Business (Custom application) College of Engineering (UW System application) Law School (Vendor provided application) School of Medicine and Public Health (AMCAS) School of Veterinary Medicine (VMCAS) School of Pharmacy (PharmCAS and supplemental application) School of Nursing (UW System application) Department of Continuing Studies (UW System application) Various Department Programs (Custom applications) Admitting Offices at UW-Madison

5. Residency questions are sometimes built into the application. If not, applicants fill out a PDF Record of Residence No pre-population of existing student data No automated decision-making logic. Applicants are required to fill out the entire form even if the data is not relevant Requires running and maintenance of a separate SQR load process within PeopleSoft to import the electronic residency data PDF Record of Residence forms are linked and stored in ImageNow to meet data retention requirements Residency counselors must evaluate all admission applications to make an accurate residency determination Custom Admission Applications (Grad, Grad School of Business, Professional Schools)

6. Residency questions are included in the online admission application Automated decision-making logic built in to determine residency status based on the information provided by the applicant The system application is able to make residency determinations for approximately 80% of applicants Requires running and maintenance of a separate PeopleSoft Application Engine load process to import the electronic residency data Requires a set of customized records and pages within PeopleSoft to enable residency staff to review the applicant data UW-System Admission Application

7. University of Wisconsin – Madison General Stats Over 40,000 students enrolled annually 2012-2013 Academic Year Total residency decisions: 64,099 Automated Decisions: 51,350 Manual Decisions: 12,749

8. With a residency staff of two, we needed to find a way to reduce the number of applications that require manual review. The UW System admission application does a good job of making automated residency decisions, but it’s only used for undergraduate and non degree-seeking special students. We needed to automate the residency determination process for the remaining applicants. Identified Business Need

9. IDENTIFYING POTENTIAL SOLUTIONS Fixing the Problem At Hand

10. A project team was formed to define requirements, document the process flow, and define residency determination logic. Members included: Two Residency Counselors Admission office representative Project manager Residency staff supervisor Java developer PeopleSoft developer PeopleSoft data specialist Project Team

11. Build a web-based application specifically designed to collect and analyze residency data with the following features: Accessible by a variety of applicants from multiple admitting offices Make residency determinations “on the fly” Pre-populate with existing student data (when possible) to eliminate redundant data collection Present users with only the questions needed to make an accurate residency determination…no unnecessary data collection. Integrate with PeopleSoft via web services to retrieve existing student data and to pass back applicant residence data and the residency determination (if made) Proposed Solution

12. DEVELOPMENT AND IMPLEMENTATION Residency Smart Application (RSA)

13. The Residency Smart App (RSA) facilitates the entry of information by applicants to determine their eligibility for nonresident tuition exemption under Wisconsin Statutes. RSA draws from multiple data sources to reach a residency determination, including PeopleSoft SA, the system the student is being redirected from, as well as directly from the student. Application Overview

14. Application written in Groovy using the Grails framework Runs in the Apache Tomcat servlet container hosted by UW Madison DoIT Data is stored in a DoIT hosted Oracle database NetBeans and IntelliJ IDEA IDEs, but the project is not locked into any single IDE Dependencies and build are handled by Apache Maven Requirements and issue tracking using JIRA Technical Infrastructure

15. Component Interface Web Services – One used to pre-populate the application with applicant bio- demo data when available – Second web service created to allow for writing the collected data back to custom staging tables Staging records – Temporary staging area for applicant data to be held until it can be matched with an admission application App Match SQR – Recurring process used to migrate staged data to the permanent Residency Record of Residence in PeopleSoft once an admission application is completed. PeopleSoft Customizations

16. Data Flow

17. For maximum flexibility, the project team decided to allow entry into the application from a variety of other systems: PeopleSoft SA Student Center PeopleSoft SA Reentry Customization External Admission Applications Applicant Entry Points

18. Required Data Elements When redirected to RSA from an external admission application or from PeopleSoft, there are a two required fields: admissionApplicationNum admitTermCode Additional optional fields accepted: Emplid academicCareer firstName middleInitial Birthdate Citizenship visaType Addresses residencyDecisionPostbackUrl userRedirectUrl

19. If an applicant has previously attended UW Madison, and the student emplid is known, the residency application will call a component interface web service that is exposed from PeopleSoft to pre-populate the app with existing bio-demo data. This eliminates the need for redundant data entry and reduces the total application completion time. Imported Data Elements

20. Decision Logic

21. Logic - continued

23. RSA IN ACTION So, how does it work?

24. Initial Questions If an applicant indicates that they are not a legal Wisconsin resident and that they have not recently moved to the state for full-time employment, the application makes a ‘Nonresident’ determination and no additional information is required.

25. General Info If an applicant indicates that they are a Wisconsin resident, they are prompted to enter some additional information. Answers to these questions determine which pages the applicant is directed to and what subsequent information is needed.

26. Parent Data Parent/Guardian information can be a determinant of WI residency status for tuition purposes for all applicants regardless of dependent status or age. Parent/Guardian details are required in order for an applicant to be considered a ‘Resident’ under a specific of the state statute. Details include: Citizenship status State income tax information Voter information Occupation Addresses

27. Applicant Information If the applicant does not qualify for ‘Resident’ status based on the parent information provided, then additional information is required.

28. Higher Education Details All institutions of higher education currently or previously attended must be listed by the applicant. Dates of enrollment are important in determining residency status.

29. Employment Similar to the Higher Education information physical presence in Wisconsin for the full twelve months preceding enrollment is an important factor in determining residence for tuition purposes.

30. e-Signature Prior to displaying the residency determination, the applicant must first electronically sign the application. This is the final step in the application process.

31. Residency Determination After submitting the application, the final residency determination is displayed along with contact information for our Residence for Tuition office. At this point the applicant can either be redirected to the external system that directed them to the RSA or they can simply close the app.

32. SUMMARY

33. Graduate School of Business – Fall 2013 Law School – Fall 2013 Reentry Applicants – Fall 2013 School of Education – Outreach Programs – Spring 2014 Graduate School – Spring 2014 Early Adopters

34. Referring back to the 2012-13 residency statistics, our residency counselors manually evaluated 12,749 residency determinations. When fully adopted, we estimate that the Residency Smart Application will be able to reduce that by 70%. Applicants will no longer be required to submit information that has no bearing on their residency status which reduces the overall time to application completion. Admitting offices will no longer need to maintain substantial customizations to their admission applications in order to collect residency information. Measures of Success

35. QUESTIONS? Aaron Apel adapel@em.wisc.edu