Child welfare predictive analytics systems
It is a clone of this request.
| Tracking # |
P000409-050321 |
| Submitted | April 30, 2021 |
| Est. Completion | None |
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Communications
From: Todd Feathers
To Whom It May Concern:
Pursuant to the Maryland Public Information Act, I hereby request the following records:
1) Contracts with any company, nonprofit, or other entity that currently provides software to the department that includes predictive analytics models for child welfare (i.e., models designed to identify home placement risk, abuse risk, human trafficking risk, etc.). This should include contracts for CCWIS or comparable systems that include predictive models as well as project descriptions for any models created in-house.
2) Data dictionaries for all child welfare predictive models used by the department, including those provided by outside entities as well as in-house models. Data dictionaries are documents commonly created for predictive models and databases. They describe the categories of data that are inputs (age, gender, etc.) and outputs (risk level, etc.) of predictive models. They are equivalent to headers on a spreadsheet, and do not include actual data.
3) A list of all memorandums of understanding (MOUs) and/or data sharing agreements with state or local agencies for the provision of data that is incorporated into the department's child welfare predictive models. Should the department not maintain a list of these MOUs, I will accept copies of the MOUs themselves.
4) Any differential impact assessments, validation studies, or comparable documents that describe the accuracy of child welfare predictive models used by the department. This should include any documents that describe common measures of predictive accuracy, such as area under the curve (AUC).
5) All department policies, employee manuals, and guidelines describing how employees can and/or should use child welfare predictive models.
6) All governance board, committee, or outside expert reviews assessing the efficacy of the department's proposed or current child welfare predictive models.
Should you have questions regarding any aspect of this request, please don't hesitate to contact me.
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 employ 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.
I would prefer the request be filled electronically, by e-mail attachment if available or CD-ROM if not.
Thank you very much for your help, and I look forward to receiving your response to this request within 10 calendar days, as the statute requires.
Sincerely,
Todd Feathers
From:
Dear Todd Feathers,
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From:
Dear Todd Feathers:
Thank you for your interest in public records of Maryland Department of Human Services. Your request has been received and is being processed in accordance with the Maryland Public Information Act. Your request was received in this office on 5/3/2021 and given the reference number P000409-050321 for tracking purposes.
Records Requested: To Whom It May Concern:
Pursuant to the Maryland Public Information Act, I hereby request the following records:
1) Contracts with any company, nonprofit, or other entity that currently provides software to the department that includes predictive analytics models for child welfare (i.e., models designed to identify home placement risk, abuse risk, human trafficking risk, etc.). This should include contracts for CCWIS or comparable systems that include predictive models as well as project descriptions for any models created in-house.
2) Data dictionaries for all child welfare predictive models used by the department, including those provided by outside entities as well as in-house models. Data dictionaries are documents commonly created for predictive models and databases. They describe the categories of data that are inputs (age, gender, etc.) and outputs (risk level, etc.) of predictive models. They are equivalent to headers on a spreadsheet, and do not include actual data.
3) A list of all memorandums of understanding (MOUs) and/or data sharing agreements with state or local agencies for the provision of data that is incorporated into the department's child welfare predictive models. Should the department not maintain a list of these MOUs, I will accept copies of the MOUs themselves.
4) Any differential impact assessments, validation studies, or comparable documents that describe the accuracy of child welfare predictive models used by the department. This should include any documents that describe common measures of predictive accuracy, such as area under the curve (AUC).
5) All department policies, employee manuals, and guidelines describing how employees can and/or should use child welfare predictive models.
6) All governance board, committee, or outside expert reviews assessing the efficacy of the department's proposed or current child welfare predictive models.
Should you have questions regarding any aspect of this request, please don't hesitate to contact me.
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 employ 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.
I would prefer the request be filled electronically, by e-mail attachment if available or CD-ROM if not.
Thank you very much for your help, and I look forward to receiving your response to this request within 10 calendar days, as the statute requires.
Sincerely,
Todd Feathers
Upload documents directly: https://https://www.muckrock.comhttps://www.muckrock.com/
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Maryland Department of Human Services
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From: Department Of Human Services
--- Please respond above this line ---
RE: PUBLIC RECORDS REQUEST of May 03, 2021, Reference # P000409-050321 Dear Todd Feathers,
The Maryland Department of Human Services (DHS) received a public information request from you on May 03, 2021. Your request mentioned: “To Whom It May Concern:
Pursuant to the Maryland Public Information Act, I hereby request the following records:
1) Contracts with any company, nonprofit, or other entity that currently provides software to the department that includes predictive analytics models for child welfare (i.e., models designed to identify home placement risk, abuse risk, human trafficking risk, etc.). This should include contracts for CCWIS or comparable systems that include predictive models as well as project descriptions for any models created in-house.
2) Data dictionaries for all child welfare predictive models used by the department, including those provided by outside entities as well as in-house models. Data dictionaries are documents commonly created for predictive models and databases. They describe the categories of data that are inputs (age, gender, etc.) and outputs (risk level, etc.) of predictive models. They are equivalent to headers on a spreadsheet, and do not include actual data.
3) A list of all memorandums of understanding (MOUs) and/or data sharing agreements with state or local agencies for the provision of data that is incorporated into the department's child welfare predictive models. Should the department not maintain a list of these MOUs, I will accept copies of the MOUs themselves.
4) Any differential impact assessments, validation studies, or comparable documents that describe the accuracy of child welfare predictive models used by the department. This should include any documents that describe common measures of predictive accuracy, such as area under the curve (AUC).
5) All department policies, employee manuals, and guidelines describing how employees can and/or should use child welfare predictive models.
6) All governance board, committee, or outside expert reviews assessing the efficacy of the department's proposed or current child welfare predictive models.
Should you have questions regarding any aspect of this request, please don't hesitate to contact me.
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 employ 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.
I would prefer the request be filled electronically, by e-mail attachment if available or CD-ROM if not.
Thank you very much for your help, and I look forward to receiving your response to this request within 10 calendar days, as the statute requires.
Sincerely,
Todd Feathers
Upload documents directly: https://https://www.muckrock.comhttps://www.muckrock.com/ The Maryland Department of Human Services has reviewed its files and has determined there are no responsive documents to your request. Maryland does not do predictive analytics work at this time. I am sorry we could not assist you with your request.
Sincerely,
Maryland Department of Human Services
Public Information Act Custodian
Files
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