Inequality refers to the phenomenon of unequal and/or unjust distribution of resources and opportunities among members of a given society. Examples are income inequality, gender inequality, racial economic inequality etc. Research topics can cover gender representation in firms or governance bodies, diversity policies in HR. discrimination and psychological security, education opportunities, macro-economic consequences of global inequality, the impact of inequality on health and wellbeing. 

Inequality asks for measures that go beyond one policy area or a single disciplinary approach. As global inequality rises, this is a very urgent societal challenge that asks for cross-disciplinary and international collaboration.

Related SDGs

GOAL 5: Gender Equality
GOAL 10: Reduced Inequality


Collaboration Opportunities

Call for Participation in Lecture Series 'Data Science in Action'

Co-Director International Office & Local Work Package Coordinator Campus & Academic Affairs ENGAGE.EU Area Learning
University of Mannheim

In the fall semesters 2022 and 2023 the Mannheim Center for Data Science (MCDS), an institute of the University of Mannheim founded in...

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Collaboration Groups




By Heather Jean A… icon

Igniting Innovation: Call for Collaborative Scientific Initiatives Now Open

Ready to take your research idea to the next level? The ENGAGE.EU Research Label is thrilled to announce the launch of its inaugural call for innovative scientific initiatives. This call isn't just about funding research; it's about fostering collaboration, driving innovation and empowering researchers like you to make a meaningful impact on society.

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By Clémentine Labrut icon

Exploring Open Science: Overview from ENGAGE.EU Data Management Days

From 6 to 8 March 2024, University Toulouse Capitole had the pleasure to welcome researchers, doctoral students, and support staff from the 9 partners of the Alliance. These Data Management Days served as a seamless continuation of our ongoing efforts at the university to advance the discourse surrounding research data management, which already includes the implementation of specialized courses and collaborative workshops with library staff.

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