Displaying 1 - 10 of 21
Presenter:
Claudia Cappa, Senior Adviser for Statistics and Monitoring, Data and Analytics Section, DAPM/UNICEF HQ
Abstract:
Accurate and reliable data on children living in residential care institutions are essential. However, these children are not identified through household surveys and, as a result, are not typically included in official national statistics on key indicators of child well-being. This includes indicators that comprise global monitoring frameworks, such as the Sustainable Development Goals. To help address this data gap, UNICEF has developed the first-ever…
The Eastern and Southern Africa Regional Learning Platform hosted a webinar on June 22, 2022, featuring speakers from UNICEF's head office and the Better Care Network who provided detailed examples on the importance of data in Uganda's care reform processes. This purpose of this webinar was to examine the importance of using data to inform care reform, and how data can be collected and used effectively.
The global response to COVID-19 has focused on prevention, detection, and response. In addition to significant concerns related to morbidity and mortality, the pandemic has had profound secondary impacts. A grave concern is the loss of caregivers, with current estimates that more than 5 million children worldwide have experienced the death of a primary caregiver. This means that over the past six months, one child has been affected every six seconds. Children who have lost primary caregivers often face even more adverse consequences, including poverty, abuse, and institutionalization. As with…
COVID-19 triggered unprecedented disruption on a world-wide scale. Governments enforced far-ranging public health measures, including stay at home orders, curfews, and travel restrictions. These measures have had direct and indirect impacts on residential care providers and their supporters. To better understand the range of impacts of COVID-19 on the operations of residential care institutions including funding, staffing, volunteering, children’s care, education, family connection and reintegration, BCN and Griffith University with support from World Childhood Foundation, ACCIR and ERIK’s…
Social and Behaviour Change (SBC) communication has developed rapidly in the last decades, towards engaging and mobilizing communities and populations to find solutions to their problems and to become the promoters and owners of programmatic results. Promising results from areas such as health, reduction of harmful practices, local development, gender equity and others have proved that engaging communities and factoring in social norms, can help programs go way beyond what was possible with traditional communication programs, predominantly based on providing information.
This series of 3…
In response to the need for accurate and reliable statistics on children in residential care, UNICEF has developed the first-ever comprehensive methodology to collect data on children living in residential care settings by applying a number of preexisting tools from international survey programmes, such as the Multiple Indicator Cluster Surveys (MICS) and other validated instruments, to an institutional population. This video is a recording of the virtual launch of the…
Overview
The Global Social Service Workforce Alliance hosted the 6th Annual Social Service Workforce Strengthening Symposium on the topic of using evidence as a catalyst for advocacy efforts to support the social service workforce. Held on May 7, 2019, in Washington, DC, and via live webcast, a total of 313 individuals and 13 watch parties participated from 42 countries across NGOs, practice, government, academia, associations, foundations, UN agencies and other experts in the field. They heard speakers share experiences and lessons learned from recent comprehensive social…
This webinar series offers technical assistance to child welfare agencies in the US on how to use data to improve outcomes for children and families.
The first webinar in this series discusses strategies for mining administrative data to assess the characteristics and needs of at-risk child welfare populations. Using examples from a federal Permanency Innovations Initiative (PII) grantee in Illinois, Dr. Dana Weiner identifies the key requirements of productive data mining, steps in the data mining process, and useful statistical techniques for analyzing and making sense of administrative…
This webinar focused on explaining the HIV Risk Assessment cascade and how it is related to OVC_HIVSTAT disaggregates. The presenters also provided guidance for how OVC_HIVSTAT data can be analyzed to enhance program outcomes.
Data-driven decision making (DDDM) is a way to determine a course of action based on quality data. It uses data systematically and intelligently to assess, test, and improve a program, activity, or process.
DDDM is about getting the right data to the right people at the right time to effectively use the data to problem-solve and improve performance. It can help child welfare organizations identify and respond to emerging trends and needs among children and families.
This three-part video series shows how a fictional organization, Greene County Department of Human Services, set out to…