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Joana Alegre
Advisor, Mediator, Singer/songwriter
Joana Alegre is a multi-talented individual currently working as a Singer/Songwriter and Vocal Coach at Great Dane Studios. In addition to her musical pursuits, she is actively involved in politics as an elected independent municipal deputy and a member of the Independent Movement 'Cidadãos por Lisboa'. Joana has a background in advisory roles, having served as an Advisor for the City Council of Lisbon in Housing and Local Development.
With a strong focus on alternative dispute resolution and socio-political analysis, Joana Alegre emphasizes participative processes and bottom-up Shared Governance. She excels in bridging seemingly disparate areas through a multidisciplinary approach, reflecting her diverse interests and actions.
Joana's educational journey includes studies in various fields such as Strategic Peacebuilding, Community Based Peacebuilding, Peace Studies, Conflict Resolution, Communication, Culture, Political Science, International Relations, and Music Performance. Her commitment to continuous learning and skill development is evident through her participation in workshops, summer schools, and language proficiency programs.
Throughout her career, Joana has been associated with prestigious organizations such as Great Dane Studios, Câmara Municipal de Lisboa, SINERGI, Reignite Action for Development, and the Permanent Mission of Portugal to the United Nations, among others. Her roles have ranged from Mediator to Senior Producer, demonstrating her versatility and leadership capabilities in different contexts.
Joana Alegre's professional journey showcases her versatility as a musician, political figure, and advocate for participative governance. Her wide-ranging expertise in music, politics, conflict resolution, and community engagement sets her apart as a dynamic and impactful individual in her pursuits.
Keywords: Singer, Songwriter, Vocal Coach, Political Science, Conflict Resolution, Peacebuilding, Community Engagement, Social Integration, Multidisciplinary Approach