Enroll 360/Intersect
| Submitted | Oct. 19, 2021 |
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Communications
From: Todd Feathers
To Whom It May Concern:
Pursuant to the Texas Public Information Act, I hereby request the following records:
1) All contracts and statements of work between the university and EAB and/or Intersect (formerly Hobsons' Intersect). In particular, this should include contracts and statements of work related to EAB's Enroll 360 product and/or Intersect. This should also include any sole source justification documents.
2) All user manuals and employee training materials for Enroll 360 and/or Intersect.
3) Documentation of the Enroll 360 and Intersect predictive models the university uses to help identify prospective students, target student recruitment and advertising, determine financial aid, or inform other recruitment and enrollment decisions. This should include any documents—often called predictive model reports, data libraries, model performance reports, etc.—that describe the statistical and machine learning methods the model uses (e.g., logistical regression, gradient boosting, etc.), what data was used to train the predictive models, what data variables are incorporated in the models, how those variables are weighted, and/or how those models perform.
4) A list of the student academic and demographic variables that university employees can select from within the Intersect software to target recruitment messages to specific groups of students. If a list does not already exist, I will accept screenshots of the variables from the Intersect software.
5) Documentation of all targeted recruitment messages the university has sent through Intersect since Jan. 1, 2019. This should include, where possible, the student academic and demographic variables used to target those messages and impact and ROI reports for those messages.
Should you have any questions about any aspect of this request, please don't hesitate to ask.
I ask that all fees be waived as I am a journalist and intend to use the requested records to publish articles in the public interest. 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 it, 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 10 business days, as the statute requires.
Sincerely,
Todd Feathers
From: University Of North Texas
Dear Mr. Feathers,
The University of North Texas is in receipt of your request, dated October 19, 2021, for the following information:
1) All contracts and statements of work between the university and EAB and/or Intersect (formerly Hobsons' Intersect). In particular, this should include contracts and statements of work related to EAB's Enroll 360 product and/or Intersect. This should also include any sole source justification documents.
2) All user manuals and employee training materials for Enroll 360 and/or Intersect.
3) Documentation of the Enroll 360 and Intersect predictive models the university uses to help identify prospective students, target student recruitment and advertising, determine financial aid, or inform other recruitment and enrollment decisions. This should include any documents—often called predictive model reports, data libraries, model performance reports, etc.—that describe the statistical and machine learning methods the model uses (e.g., logistical regression, gradient boosting, etc.), what data was used to train the predictive models, what data variables are incorporated in the models, how those variables are weighted, and/or how those models perform.
4) A list of the student academic and demographic variables that university employees can select from within the Intersect software to target recruitment messages to specific groups of students. If a list does not already exist, I will accept screenshots of the variables from the Intersect software.
5) Documentation of all targeted recruitment messages the university has sent through Intersect since Jan. 1, 2019. This should include, where possible, the student academic and demographic variables used to target those messages and impact and ROI reports for those messages.
As written, items 1-4 of your request requires the University to search for documents covering an unspecified amount of time. Pursuant to section §552.222(b) of the Texas Government Code, we respectfully request that you narrow your public information request by providing a date range.
We request that you provide clarification no later than the 61st day from the date of this email; otherwise, your request may be deemed to have been withdrawn.
Please feel free to give me a call at (940) 565-4118 if you have any questions.
Thank you,
Alice Hawes
Public Information Coordinator
_______________________________
[A close up of a logo Description automatically generated]<https://www.untsystem.edu/>
University of North Texas System<https://www.untsystem.edu/>
1155 Union Circle #310907 • Denton, TX 76201
Direct: 940.565.4118
Fax: 940.369.7026
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From: Todd Feathers
Hello Alice,
For the entire request, please limit the timeframe to Jan. 1, 2019 until the present.
Thank you very much for the help!
Todd
From: University Of North Texas
Good morning Todd,
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image001
From: University Of North Texas
Hi Todd,
Attached please find correspondence and records responsive to item one (1) of your request for information. Please note, there are no documents responsive to items 2-5 of your request.
Sincerely,
Alice Hawes
Public Information Coordinator
_______________________________
[A close up of a logo Description automatically generated]<https://www.untsystem.edu/>
University of North Texas System<https://www.untsystem.edu/>
1155 Union Circle #310907 • Denton, TX 76201
Direct: 940.565.4118
Fax: 940.369.7026
From: University Of North Texas
The request has been forwarded from one agency to another agency or department for further review or follow up.
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