RNL enrollment and financial aid models
It is a clone of this request.
| Submitted | Jan. 28, 2022 |
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Communications
From: Todd Feathers
To Whom It May Concern:
Pursuant to the New Mexico Inspection of Public Records Act, I hereby request the following records:
1) All contracts with Ruffalo, Noel, Levitz (RNL) since Jan. 1, 2018 for enrollment management and financial aid optimization services.
2) All reports provided to the university by RNL since Jan. 1, 2018 regarding the following RNL services:
- Historical Research & Competitor Benchmarking
- Econometric Modeling
- Annual Financial Aid Plan Development
- RNL Smart View Dashboards & Reporting for Insight-Driven Response
- Retention Analysis
- Revenue Optimization & Simulation
- Four-Year Enrollment & Net Revenue Projection Model
- Enrollment Likelihood and FinAid Receptivity Scoring
3) All validation studies, differential impact studies, or comparable studies supplied by RNL or done by the university or a third party on the university's behalf regarding the accuracy of RNL's predictive models.
4) De-identified copies of all enrollment and financial aid model training datasets supplied to/received from RNL for 2021-2022 school year applicants, containing:
- All non-identifiable variables for each applicant that the university supplies to RNL for the purpose of building and training its predictive models
AND
- All output data fields (i.e., receptivity scores, lead categories, etc.) generated by RNL's predictive models for each applicant.
With regards to item 4 of my request, please note that I am asking for a de-identified data set that does not include fields that could be used to identify an individual applicant (e.g., name, address, SSN). These fields can easily be redacted by deleting those columns from the responsive spreadsheet.
I ask that all fees be waived as intend to use the requested records to further public understanding of public agencies and not for any commercial purpose. In the event you choose to impose fees, I request a detailed breakdown of the fees, including the hourly wage of each employee involved and an explanation justifying the employee hours required to fulfill the request.
Should you choose to reject this request or redact portions of responsive documents, I ask that you provide a detailed breakdown of the statutory exemptions and associated case law underlying your decision to withhold each/any portions from public review.
The requested documents will be made available to the general public, and this request is not being made for commercial purposes.
In the event that there are fees, I would be grateful if you would inform me of the total charges in advance of fulfilling my request. I would prefer the request filled electronically, by e-mail attachment if available or CD-ROM if not.
Thank you in advance for your anticipated cooperation in this matter. I look forward to receiving your response to this request within 15 business days, as the statute requires.
Sincerely,
Todd Feathers
From: New Mexico Highlands University
Mr. Feathers,
I'm writing to confirm receipt of your Jan. 31, 2022 IPRA request below. I will follow up with you on or before Feb. 7 with an update on the status of your request.
Sean Weaver | Director of University Relations
New Mexico Highlands University
Box 9000, Las Vegas, N.M. 87701
505-454-3387
www.nmhu.edu<http://www.nmhu.edu/>
________________________________
New Mexico Highlands University
IPRA Office
Box 9000
Las Vegas, NM 87701
January 31, 2022
To Whom It May Concern:
Pursuant to the New Mexico Inspection of Public Records Act, I hereby request the following records:
1) All contracts with Ruffalo, Noel, Levitz (RNL) since Jan. 1, 2018 for enrollment management and financial aid optimization services.
2) All reports provided to the university by RNL since Jan. 1, 2018 regarding the following RNL services:
- Historical Research & Competitor Benchmarking
- Econometric Modeling
- Annual Financial Aid Plan Development
- RNL Smart View Dashboards & Reporting for Insight-Driven Response
- Retention Analysis
- Revenue Optimization & Simulation
- Four-Year Enrollment & Net Revenue Projection Model
- Enrollment Likelihood and FinAid Receptivity Scoring
3) All validation studies, differential impact studies, or comparable studies supplied by RNL or done by the university or a third party on the university's behalf regarding the accuracy of RNL's predictive models.
4) De-identified copies of all enrollment and financial aid model training datasets supplied to/received from RNL for 2021-2022 school year applicants, containing:
- All non-identifiable variables for each applicant that the university supplies to RNL for the purpose of building and training its predictive models
AND
- All output data fields (i.e., receptivity scores, lead categories, etc.) generated by RNL's predictive models for each applicant.
With regards to item 4 of my request, please note that I am asking for a de-identified data set that does not include fields that could be used to identify an individual applicant (e.g., name, address, SSN). These fields can easily be redacted by deleting those columns from the responsive spreadsheet.
I ask that all fees be waived as intend to use the requested records to further public understanding of public agencies and not for any commercial purpose. In the event you choose to impose fees, I request a detailed breakdown of the fees, including the hourly wage of each employee involved and an explanation justifying the employee hours required to fulfill the request.
Should you choose to reject this request or redact portions of responsive documents, I ask that you provide a detailed breakdown of the statutory exemptions and associated case law underlying your decision to withhold each/any portions from public review.
The requested documents will be made available to the general public, and this request is not being made for commercial purposes.
In the event that there are fees, I would be grateful if you would inform me of the total charges in advance of fulfilling my request. I would prefer the request filled electronically, by e-mail attachment if available or CD-ROM if not.
Thank you in advance for your anticipated cooperation in this matter. I look forward to receiving your response to this request within 15 business days, as the statute requires.
Sincerely,
Todd Feathers
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PLEASE NOTE: This request is not filed by a MuckRock staff member, but is being sent through MuckRock by the above in order to better track, share, and manage public records requests. Also note that improperly addressed (i.e., with the requester's name rather than "MuckRock News" and the department number) requests might be returned as undeliverable.
From: New Mexico Highlands University
Mr. Feathers,
New Mexico Highlands has not entered into a contract with RNL in 2018, therefore, there are no records responsive to your request. I have, however, attached the original 2016 contract between Highlands and RNL along with notice of cancelation. Data compiled by RNL for Highlands responsive to item 2 of your request were stored on RNL servers, and New Mexico Highlands University no longer has access to the files.
Sean Weaver | Director of University Relations
New Mexico Highlands University
Box 9000, Las Vegas, N.M. 87701
505-454-3387
www.nmhu.edu<http://www.nmhu.edu>
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