Roster of quantitative and qualitative research consultants: Social & Economic Policy unit, UNICEF Innocenti – Global Office of Research and Foresight (Remote/Work from home)

UNICEF Innocenti tackles the questions of greatest importance for children, both current and emerging. It equips thought leaders and decision-makers with the evidence they need to build a better, safer world for children.

The office undertakes research using primary and secondary data that represent the voices of children and families themselves. It uses foresight to set the agenda for children, including horizon scanning, trends analysis and scenario development. The office produces a diverse and dynamic library of high-level reports and policy papers and provides a platform for debate and advocacy.

As part of Innocenti, the Social & Economic Policy (SEP) unit conducts research on social protection, child poverty and public finance.

The unit is establishing a Roster of Consultants with pre-qualified candidates who can be contracted quickly to provide a range of research services. These may include quantitative or qualitative data collection activities, data analysis (quantitative and/or qualitative), literature reviews, writing research outputs such as reports, briefs or academic articles, amongst others.

The SEP unit welcomes applications from candidates who possess one or more of the following skillsets:

1. Quantitative skillset on impact evaluations of cash transfers and other social protection interventions, or other social development programmes, in low- and middle-income countries.

1. Qualitative skillset on impact and process evaluations of cash transfer programmes, or other social development programmes

1. Quantitative skill set on public finance, budget analysis, macro-econometrics, micro- and macro-simulations

1. Qualitative skillset on political economy analysis

1. Data science, machine learning, big data analytics

More details on the specific requirements for each of these skillsets can be found in this document: Skillsets EXT.pdf.

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