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Education policies that work: A context-sensitive ‘big data’ approach

Sector: Education • Location: Italy

Source: EU Funding & Tenders Portal

Project
Ongoing

In the last decades, profound socio-economic changes have posed unprecedented challenges to the traditional centralised model of state-provided education. This has led many countries to adopt neoliberal educational policies (NLPs) promoting school autonomy, competition and accountability as leverages for school effectiveness. Yet, given increasing societal inequalities, we are also witnessing a re

Status
Under Construction
Sector
Education, Telecommunications, Commercial, Government
Location
Italy
Updated
22 Jul 2026
Source
EU Funding & Tenders Portal

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The project “Education policies that work: A context-sensitive ‘big data’ approach” is an infrastructure initiative in the Education sector, located in Italy. Taiyo aggregates data on it from EU Funding & Tenders Portal.

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Status

Original status

ongoing

Taiyo status

Under Construction

Taiyo last update

2026-07-22

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Not available for this record.

Description

Description

In the last decades, profound socio-economic changes have posed unprecedented challenges to the traditional centralised model of state-provided education. This has led many countries to adopt neoliberal educational policies (NLPs) promoting school autonomy, competition and accountability as leverages for school effectiveness. Yet, given increasing societal inequalities, we are also witnessing a resurgence of democratic inclusive educational policies (DIPs) with egalitarian aims. Although these different policies can coexist, they have so far been scrutinised separately. EDUPOL develops the first comprehensive comparative analysis of the interplay between NLPs and DIPs. By building on the concepts of policy configurations and context-specific effects, the project proposes a paradigmatic shift from the focus on ‘what works’ to ‘what combinations of policies work for whom and in which circumstances’. It pursues four key aims: 1) to investigate the trends and diffusion of NLPs and DIPs across the globe in the last four decades; 2) to assess their effects on quality and equality in students’ (cognitive and socio-emotional) competencies and civic engagement; 3) to map within-country school-specific policies; 4) to uncover the heterogeneous effects of school-level policies across schools and territories. EDUPOL builds a novel macro-longitudinal dataset of educational policies and integrates insights from international repeated cross-sectional data, ground-breaking Italian big data (millions of student records, textual data from school reports, administrative archives, satellite data), student population panel data and qualitative interviews with key school actors to achieve its ambitious objectives. By combining qualitative comparative analysis, spatial panel regression, flexible machine-learning techniques and causal-inference methods, the project will significantly advance our understanding of the conditions under which educational policies work.

Location

Country

Italy

Source

Source

EU Funding & Tenders Portal

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Record type

Project

Sector

Education, Telecommunications, Commercial, Government

Article published date

2026-03-01

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