Child welfare predictive analytics systems

Todd Feathers filed this request with the District Of Columbia Child And Family Services Agency of Washington, DC.

It is a clone of this request.

Tracking #

2021-FOIA-04943

Status
Completed

Communications

From: Todd Feathers

To Whom It May Concern:

Pursuant to the DC Freedom of 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 15 business days, as the statute requires.

Sincerely,

Todd Feathers

From: District Of Columbia Child And Family Services Agency

This is an automated message from the DC Government FOIA system. Dear Todd Feathers, Request Number 2021-FOIA-04943 has been assigned to the request you submitted in relation to: Request description: To Whom It May Concern:

Pursuant to the DC Freedom of 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 15 business days, as the statute requires.

Sincerely,

Todd Feathers In all future correspondence regarding this request, please reference request number 2021-FOIA-04943. To check for status, please log in  https://foia-dc.gov/palMain.aspx and go to Request Status. For any questions regarding your request, please contact the FOIA office directly. Find the list of agency Open Governement and FOIA contact information by visiting FOIA Contact Information. For ease of reference, we ask that you have your FOIA Request Number available when you contact the FOIA office. (https://dc.gov/node/818962) Regards,
DC Government FOIA Portal Having technical difficulties? Email FOIA.SystemAdmin@dc.gov or call 202-478-5973

From: District Of Columbia Child And Family Services Agency

Hello Mr. Feathers, This is in response to your Freedom of Information Act (FOIA) request. Under the DC FOIA the agency has 15 business days and can request a 10-business day extension. We are taking a 10-workday extension under FOIA, DC Code §2-531-539 in order to properly process the request for reason due to the need to search for, collect, and examine records. If you have any questions concerning your request, please contact me at wendy.singleton@ dc.gov (mailto:wendy.singleton@dc.gov) Please know that, under D.C. Official Code § 2-537 and 1 DCMR 412, you have the right to appeal this response to the Mayor or to the Superior Court of the District of Columbia. If you elect to appeal to the Mayor, your appeal must be in writing and contain “Freedom of Information Act Appeal” or “FOIA Appeal” in the subject line of the letter as well on the outside of the envelope. The appeal must include (1) a copy of the original request; (2) a copy of any written denial; (3) a statement of the circumstances, reasons, and/or arguments advanced in support of disclosure; and (4) a daytime telephone number, and e-mail and/or U.S. Mail address at which you can be reached. The appeal must be mailed to: The Mayor’s Office of Legal Counsel, FOIA Appeal; 1350 Pennsylvania Avenue, N.W., Suite 407, Washington, D.C. 20004. Electronic versions of the same information can instead be e-mailed to The Mayor’s Office of Legal Counsel at foia.appeals@dc.gov Further, a copy of all appeal materials must be forward to the Freedom of Information Officer of the involved agency or to the agency head of that agency if there is no designated Freedom of Information Officer there. Failure to follow these administrative steps will result in delay in the processing and commencement of a response to your appeal to the Mayor. Sincerely, Wendy B Singleton 202-727-2646

From: District Of Columbia Child And Family Services Agency

Greetings Mr. Feathers, Attached is the response to  your request. Wendy Singleton Child & Family Services Agency 202-727-2646

From: District Of Columbia Child And Family Services Agency

This is an automated message from the DC Government FOIA system. Dear Todd Feathers, The status for your request is below. Please log into https://foia-dc.gov/palMain.aspx and go to Request Status. If you have any questions regarding the status of your request, please contact the agency's FOIA office that you had submitted your FOIA request to. You can communicate directly with the FOIA office by clicking on Inbox, search the request number, and then click Compose Message. OR, visit to see a list DC Government FOIA Office’s/officer’s contact information and have your Request ID ready. (https://dc.gov/node/818962) Contact FOIA Office Request status: In Process Request ID: 2021-FOIA-04943 Description: To Whom It May Concern: Pursuant to the DC Freedom of 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 15 business days, as the statute requires. Sincerely, Todd Feathers Regards,
DC Government FOIA Portal

From: District Of Columbia Child And Family Services Agency

This is an automated message from the DC Government FOIA system. Dear Todd Feathers, The status for your request is below. Please log into https://foia-dc.gov/palMain.aspx and go to Request Status. If you have any questions regarding the status of your request, please contact the agency's FOIA office that you had submitted your FOIA request to. You can communicate directly with the FOIA office by clicking on Inbox, search the request number, and then click Compose Message. OR, visit to see a list DC Government FOIA Office’s/officer’s contact information and have your Request ID ready. (https://dc.gov/node/818962) Contact FOIA Office Request status: Closed Request ID: 2021-FOIA-04943 Description: To Whom It May Concern: Pursuant to the DC Freedom of 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 15 business days, as the statute requires. Sincerely, Todd Feathers Regards,
DC Government FOIA Portal

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