chevron icon Twitter logo Facebook logo LinkedIn logo YouTube logo download icon link icon audio icon quote icon posted icon clock icon author icon arrow icon arrow icon plus icon Search icon location icon location icon document icon menu icon plus-alt

General overview

Stage of development: Complete

Policy sector: Education

Date outcomes contract signed: May 2015

Start date of service provision: Jun 2015

Anticipated completion date: May 2018

Actual completion date: May 2018

Capital raised (minimum): CHF 267.73k (USD 292.90k)

Max potential outcome payment: USD 422k

Service users: 18k+ individuals

Intervention

Educate Girls utilises an integrated community-based approach to provide education to young girls aged 6-14 in Rajasthan India. Educate Girls strong community ties provides them with a unique position to positively influence and communicate the value of education within rural Indian communities in Rajasthan. Educate Girls understanding of the cultural context and its flexible teaching approach, allows them to create tailored teaching programmes that adapt to the needs of the end user, which ultimately improves the quality of their education.

Target population

Out-of-school girls in Rajasthan. Educate Girls compiled and maintained a census of out-of-school girls in treatment villages, which IDinsight validated each year.

Location

Country

  • India

Service delivery locations

  • Rajasthan, India

Involved organisations

Commissioners/outcome payers

Service Providers

Investors

Intermediary organisations

Generating plot, please wait...

Outcome metrics

  • Outcome 1: Learning Gains. Aggregate learning gains for all students in grades 3-5 as measured by ASER test scores relative to control group.
  • Outcome 2: Enrollment. Student enrolment defined by the of out-of-school girls (between age 7 and 14) enrolled in school by the end of the third year.

SyROCCo reports

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.

Is this information correct?
Do you have more you can add?

Please tell us about it

Get in touch

Important Notice and Disclaimer on INDIGO Data

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 indigo@bsg.ox.ac.uk 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.