Stage of development: Complete
Policy sector: Employment and training
Start date of service provision: Apr 2012
Capital raised (minimum): 0 (USD 0)
Max potential outcome payment: GBP 1.20m
Service users: 1k+ individuals
The IF pilot projects aim to prevent young people from becoming NEET, or support those already NEET to re-engage with education, training and employment. Interventions display a wide diversity in terms of participant age range, in and out of school provision and the balance between one to one and group work. Some programmes are built around participation on a structured programme or course. Despite these differences, there are also commonalities between projects including: time spent on initial marketing, recruitment and engagement; an intense initial process of working with each participant to achieve a positive shift in ‘mind-set’; a more extended period of personal and skills development and the encouragement of mental resilience in dealing with challenges and difficulties faced; and an ongoing process of goal setting and progression facilitation. Complete support package under one roof, including confidence building, training, employment placements in social enterprises and links to employers. Delivered at the premises of Perth YMCA, at community venues and schools' outreach locations.
Young people (14 - 24 year olds)- NEET or in school with behaviour putting them at risk of becoming NEET
The following articles are taken from the Systematic Review of Outcomes Contracts Collaboration (SyROCCo) Machine Learning tool.
The tool is a collaboration between the Government Outcomes Lab and machine learning experts from the University of Warwick, that allows you to navigate and explore data extracted from nearly 2000 academic and grey literature publications related to outcomes-based contracting.
INDIGO data are shared for research and policy analysis purposes. INDIGO data can be used to support a range of insights, for example, to understand the social outcomes that projects aim to improve, the network of organisations across projects, trends, scales, timelines and summary information. The collaborative system by which we collect, process, and share data is designed to advance data-sharing norms, harmonise data definitions and improve data use. These data are NOT shared for auditing, investment, or legal purposes. Please independently verify any data that you might use in decision making. We provide no guarantees or assurances as to the quality of these data. Data may be inaccurate, incomplete, inconsistent, and/or not current for various reasons: INDIGO is a collaborative and iterative initiative that mostly relies on projects all over the world volunteering to share their data. We have a system for processing information and try to attribute data to named sources, but we do not audit, cross-check, or verify all information provided to us. It takes time and resources to share data, which may not have been included in a project’s budget. Many of the projects are ongoing and timely updates may not be available. Different people may have different interpretations of data items and definitions. Even when data are high quality, interpretation or generalisation to different contexts may not be possible and/or requires additional information and/or expertise. Help us improve our data quality: email us at email@example.com if you have data on new projects, changes or performance updates on current projects, clarifications or corrections on our data, and/or confidentiality or sensitivity notices. Please also give input via the INDIGO Data Definitions Improvement Tool and INDIGO Feedback Questionnaire.