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CECA

Tag: CECA

3 workshop participants around a table discuss indicators to measure and evaluate Colombia’s progress in child protection and case management.

Developing Indicators with Front-line Workers to Improve Child Protection and Care in Colombia

July 31, 2023August 3, 2023

A primary objective for D4I’s work in Colombia is to support the Colombian Institute of Family Welfare (ICBF) to develop indicators for the monitoring and evaluation (M&E) of the Case Management Method (abbreviated in Spanish as MAC).

Case Management Information Systems for Child Protection and Care: Data for Impact Presents the CMIS Assessment, Planning and Governance Toolkits

September 8, 2021July 28, 2023

Case Management Information Systems for Child Protection and Care: Data for Impact Presents the CMIS Assessment, Planning and Governance Toolkits In September 2021, Data for Impact (D4I) held a one-hour …

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Getting to the Use of Data to Promote Appropriate Care for Children

June 14, 2021August 22, 2023

Getting to the Use of Data to Promote Appropriate Care for Children By Ismael Ddumba-Nyanzi, Dawne Walker, and Fils Uwitonze, Data for Impact For the past decade, Rwanda has taken …

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Using Data to Advance Reform of the Child Care System: Lessons Learned in Uganda

June 14, 2021July 28, 2023

Using Data to Advance Reform of the Child Care System: Lessons Learned in Uganda By Ismael Ddumba-Nyanzi and Lisa Parker, Data for Impact (D4I) Every child has the right to …

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Strengthening Armenia’s child care and child protection system: Collaboration makes a difference

March 25, 2021July 28, 2023

Strengthening Armenia’s child care and child protection system: Collaboration makes a difference By Zola Allen, PhD, and Hasmik Ghukasyan, MS, Data for Impact (D4I) Prevention of family separation. Care of …

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This website was produced with the support of the United States Agency for International Development (USAID) under the terms of the Data for Impact (D4I) associate award 7200AA18LA00008, which is implemented by the Carolina Population Center at the University of North Carolina at Chapel Hill, in partnership with Palladium International, LLC; ICF Macro, Inc.; John Snow, Inc.; and Tulane University. The views expressed in this website do not necessarily reflect the views of USAID or the United States government.

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Data for Impact (D4I) is funded by the United States Agency for International Development (USAID) under the terms of the D4I associate award 7200AA18LA00008, which is implemented by the Carolina Population Center at the University of North Carolina at Chapel Hill, in partnership with Palladium International, LLC; ICF Macro, Inc.; John Snow, Inc.; and Tulane University. The views expressed in this website do not necessarily reflect the views of USAID or the United States government.
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