Child welfare predictive analytics systems

To Whom It May Concern:

Pursuant to the South Carolina Public Records Law, 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 15 business days, as the statute requires.

Sincerely,

Todd Feathers

To Whom It May Concern:

Pursuant to the South Carolina Public Records Law, 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 15 business days, as the statute requires.

Sincerely,

Todd Feathers

Hello,

Thank you very much for your help with this. Could you please clarify: Does the department have no responsive records because it doesn't use predictive analytics? Or is the department claiming the records are exempt from disclosure? If the later, please cite the specific exemption.

Todd