automated residency decisions made easy… so, you live around here?

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Page 1: AUTOMATED RESIDENCY DECISIONS MADE EASY… So, You live around here?
Page 2: AUTOMATED RESIDENCY DECISIONS MADE EASY… So, You live around here?

AUTOMATED RESIDENCY DECISIONS MADE EASY…

So, You live around here?

Page 3: AUTOMATED RESIDENCY DECISIONS MADE EASY… So, You live around here?

• 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

Page 4: AUTOMATED RESIDENCY DECISIONS MADE EASY… So, You live around here?

EXISTING ADMISSION APPLICATION PROCESSESCollecting Residency Data

Page 5: AUTOMATED RESIDENCY DECISIONS MADE EASY… So, You live around here?

Office of Admissions and Recruitment – Undergraduate (UW System application)

College of Engineering (UW System application)School of Nursing (UW System application)Department of Continuing Studies (UW System application)Graduate School (Custom application)Graduate School of Business (Custom 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)Various Department Programs (Custom applications)

Admitting Offices at UW-Madison

Page 6: AUTOMATED RESIDENCY DECISIONS MADE EASY… So, You live around here?

• 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

Page 7: AUTOMATED RESIDENCY DECISIONS MADE EASY… So, You live around here?

• 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)

Page 8: AUTOMATED RESIDENCY DECISIONS MADE EASY… So, You live around here?

• Custom PeopleSoft records to store residency data collected on the UW System admission application and customized applications when applicable

• PeopleSoft SQR process to load the residency data into the residency records

• Custom PeopleSoft page to display the residency data for review by Residency Counselors

Existing Technical Infrastructure

Page 9: AUTOMATED RESIDENCY DECISIONS MADE EASY… So, You live around here?

General Stats

Over 40,000 students enrolled annually

2012-2013 Academic YearTotal residency decisions: 64,099Automated Decisions: 51,350Manual Decisions: 12,749

Page 10: AUTOMATED RESIDENCY DECISIONS MADE EASY… So, You live around here?

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

Page 11: AUTOMATED RESIDENCY DECISIONS MADE EASY… So, You live around here?

IDENTIFYING POTENTIAL SOLUTIONSFixing the Problem At Hand

Page 12: AUTOMATED RESIDENCY DECISIONS MADE EASY… So, You live around here?

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

Project Team

Page 13: AUTOMATED RESIDENCY DECISIONS MADE EASY… So, You live around here?

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

Page 14: AUTOMATED RESIDENCY DECISIONS MADE EASY… So, You live around here?

DEVELOPMENT AND IMPLEMENTATIONResidency Smart Application (RSA)

Page 15: AUTOMATED RESIDENCY DECISIONS MADE EASY… So, You live around here?

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

Application Overview

Page 16: AUTOMATED RESIDENCY DECISIONS MADE EASY… So, You live around here?

• Application written in Groovy using the Grails framework, a JAVA overlay

• Runs in the Apache Tomcat servlet container hosted by UW Madison Division of Information Technology (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

Page 17: AUTOMATED RESIDENCY DECISIONS MADE EASY… So, You live around here?

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 tablesStaging 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

Page 18: AUTOMATED RESIDENCY DECISIONS MADE EASY… So, You live around here?

Data Flow

Page 19: AUTOMATED RESIDENCY DECISIONS MADE EASY… So, You live around here?

For maximum flexibility, the project team decided to allow entry into the application from a variety of other systems:

• PeopleSoft Student Center• PeopleSoft Reentry Customization• External Admission Applications

Applicant Entry Points

Page 20: AUTOMATED RESIDENCY DECISIONS MADE EASY… So, You live around here?

Required Data ElementsWhen 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

Page 21: AUTOMATED RESIDENCY DECISIONS MADE EASY… So, You live around here?

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

Page 22: AUTOMATED RESIDENCY DECISIONS MADE EASY… So, You live around here?

Decision Logic

Page 23: AUTOMATED RESIDENCY DECISIONS MADE EASY… So, You live around here?

Logic- continued

Page 24: AUTOMATED RESIDENCY DECISIONS MADE EASY… So, You live around here?

Logic- continued

Page 25: AUTOMATED RESIDENCY DECISIONS MADE EASY… So, You live around here?

RSA IN ACTIONSo, how does it work?

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Initial QuestionsIf 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.

Page 27: AUTOMATED RESIDENCY DECISIONS MADE EASY… So, You live around here?

General Info

If an applicant indicates that they are a Wisconsin resident, they are prompted to enter additional information.

Based on the information provided, the applicant is then directed to the appropriate pages for additional data collection.

Page 28: AUTOMATED RESIDENCY DECISIONS MADE EASY… So, You live around here?

Parent DataParent/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 section of the state statute.

Details include:• Citizenship status• State income tax information• Voter information• Occupation• Addresses

Page 29: AUTOMATED RESIDENCY DECISIONS MADE EASY… So, You live around here?

Applicant InformationIf the applicant does not qualify for ‘Resident’ status based on the parent/guardian information provided, then further information is required for determination of status

Page 30: AUTOMATED RESIDENCY DECISIONS MADE EASY… So, You live around here?

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.

Page 31: AUTOMATED RESIDENCY DECISIONS MADE EASY… So, You live around here?

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.

Page 32: AUTOMATED RESIDENCY DECISIONS MADE EASY… So, You live around here?

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.

Page 33: AUTOMATED RESIDENCY DECISIONS MADE EASY… So, You live around here?

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.

Page 34: AUTOMATED RESIDENCY DECISIONS MADE EASY… So, You live around here?

SUMMARY

Page 35: AUTOMATED RESIDENCY DECISIONS MADE EASY… So, You live around here?

Graduate School of Business – Fall 2013Law School – Fall 2013Reentry Applicants – Summer 2013School of Education – Outreach Programs – Fall 2013Graduate School – Fall 2013

Early Adopters

Page 36: AUTOMATED RESIDENCY DECISIONS MADE EASY… So, You live around here?

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

Page 37: AUTOMATED RESIDENCY DECISIONS MADE EASY… So, You live around here?

QUESTIONS?

Aaron [email protected]