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Child-Maltreatment-Research-L (CMRL) List Serve

Browse All Past CMRL Messages

Welcome to the archive of past Child-Maltreatment-Research-L (CMRL) list serve messages (11,000+). The table below contains all past CMRL messages (text only, no attachments) from Nov. 20, 1996 - April 4, 2024 and is updated every two months.

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Message ID: 11148
Date: 2022-09-30

Author:Andres Arroyo

Subject:Oct. 25 webinar: Findings from the Cross Jurisdiction Model Replication (CJMR) Project

[posted on behalf of Mathematica] This message contains graphics. If you do not see the graphics, click here to view . What Can We Learn About the Incidence of Foster Care Placements from Birth Records? A Cross Jurisdiction Model Replication Study   Date: Tuesday, October 25, 3:30-4:30 p.m. ET Dear Colleague, You are invited to join a webinar highlighting findings from the Cross Jurisdiction Model Replication (CJMR) project on Tuesday, October 25, from 3:30-4:30 p.m. ET. The CJMR project developed and validated a model to estimate population-level risk for foster care placement in California. The model was then replicated in two other states, Alaska and Kentucky. Specifically, the CJMR project sought to examine the following questions: · Can information recorded at birth consistently predict the risk of foster care placement? · Can a model developed (trained) using data from one jurisdiction be used by other jurisdictions to estimate the share of children who might have a heightened likelihood of foster care placement? · What opportunities exist for using birth record models to help inform the ongoing and accurate national surveillance of foster care placement? That is, can these models be used to understand differences in foster care placement across counties and states? During the live webinar on October 25, members of the CJMR project team will share findings related to implementing the risk prediction model in California, Alaska, and Kentucky. The CJMR project is a component of the Child Maltreatment Incidence Data Linkages project, conducted by Mathematica in partnership with the Children’s Data Network, Alaska Division of Public Health, and Kentucky Office of Data Analytics. The project is supported by the Administration of Children and Families’ (ACF) Office of Planning, Research, and Evaluation (OPRE) in partnership with the Children’s Bureau. Speakers: Project site leads; OPRE and Mathematica staff Please share this invitation with your colleagues who may be interested. Best, CJMR Project Team ABOUT US Mathematica applies expertise at the intersection of data science, social science, and technology to improve well-being around the world. We collaborate closely with public- and private-sector partners to translate big questions into deep insights that improve programs, refine strategies, and enhance understanding. Mathematica P.O. Box 2393 Princeton, NJ 08543-2393 P: (609) 799-3535 F: (609) 799-0005 FOLLOW US © 2022 Mathematica

[posted on behalf of Mathematica] This message contains graphics. If you do not see the graphics, click here to view . What Can We Learn About the Incidence of Foster Care Placements from Birth Records? A Cross Jurisdiction Model Replication Study   Date: Tuesday, October 25, 3:30-4:30 p.m. ET Dear Colleague, You are invited to join a webinar highlighting findings from the Cross Jurisdiction Model Replication (CJMR) project on Tuesday, October 25, from 3:30-4:30 p.m. ET. The CJMR project developed and validated a model to estimate population-level risk for foster care placement in California. The model was then replicated in two other states, Alaska and Kentucky. Specifically, the CJMR project sought to examine the following questions: · Can information recorded at birth consistently predict the risk of foster care placement? · Can a model developed (trained) using data from one jurisdiction be used by other jurisdictions to estimate the share of children who might have a heightened likelihood of foster care placement? · What opportunities exist for using birth record models to help inform the ongoing and accurate national surveillance of foster care placement? That is, can these models be used to understand differences in foster care placement across counties and states? During the live webinar on October 25, members of the CJMR project team will share findings related to implementing the risk prediction model in California, Alaska, and Kentucky. The CJMR project is a component of the Child Maltreatment Incidence Data Linkages project, conducted by Mathematica in partnership with the Children’s Data Network, Alaska Division of Public Health, and Kentucky Office of Data Analytics. The project is supported by the Administration of Children and Families’ (ACF) Office of Planning, Research, and Evaluation (OPRE) in partnership with the Children’s Bureau. Speakers: Project site leads; OPRE and Mathematica staff Please share this invitation with your colleagues who may be interested. Best, CJMR Project Team ABOUT US Mathematica applies expertise at the intersection of data science, social science, and technology to improve well-being around the world. We collaborate closely with public- and private-sector partners to translate big questions into deep insights that improve programs, refine strategies, and enhance understanding. Mathematica P.O. Box 2393 Princeton, NJ 08543-2393 P: (609) 799-3535 F: (609) 799-0005 FOLLOW US © 2022 Mathematica