======Europe Should Promote Data for Social Good======
This report examines the uneven progress across the EU in using data for social good, highlighting the need for a renewed commitment to address challenges such as resource constraints, digital inequality, and restrictive data regulations.  \\ 
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^  Quick Facts  ^^
|Report location:  |[[http://www2.datainnovation.org/2016-data-social-good.pdf|source]]   |
|Language:  |English  |
|Publisher:  |[[encyclopedia:us_cdi_center_for_data_innovation|Center for Data Innovation]]  |
|Authors:  | Daniel Castro, Alexander Kostura, Daniel Castro  |
|Geographic focus:  |Europe   |

=====Methods=====
The research method involved examining EU and member state initiatives, analyzing data-driven programs, identifying barriers to data for social good, and proposing actions for policymakers.  \\ 
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=====Key Insights=====
The report discusses the potential of data-driven innovations to tackle social challenges in Europe, such as unemployment and the refugee crisis. It emphasizes the need for European leaders to facilitate data collection on disadvantaged populations, encourage cross-sector collaboration, and implement policies that promote data use for social goals. The report identifies barriers to data for social good, including a lack of a data culture, digital and data skills gaps, and restrictive policies. It concludes with recommendations for policymakers to integrate data innovation into social programs and to adapt regulations to enable responsible data use for social good.  \\ 
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=====Additional Viewpoints=====
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<span #categories_box> Categories:  {{tag>English_publication_language}} |  {{tag>Europe_geographic_scope}} |  {{tag>cross-sector_collaboration}} |  {{tag>data-driven_innovation}} |  {{tag>data_culture}} |  {{tag>data_regulations}} |  {{tag>digital_inequality}} |  {{tag>policy_recommendations}} |  {{tag>refugee_crisis}} |  {{tag>skills_gap}} |  {{tag>social_challenges}} |  {{tag>unemployment}}   </span>  


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