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Determinants of AI collaborations, patents, and investments: a gravity equation approach towards policy recommendations for human development

datacite.subject.fosCiências Sociais::Economia e Gestãopt_PT
dc.contributor.advisorTavares, José
dc.contributor.authorSteinert, Richard
dc.date.accessioned2025-08-05T08:22:43Z
dc.date.embargo2026-01-20
dc.date.issued2025-01-20
dc.date.submitted2025-01-20
dc.description.abstractThis work investigates the determinants of AI-related collaborations, patents, and investments using a gravity equation approach, addressing critical gaps in understanding the development phase of AI. Analyzing panel data spanning 2013-2022 across 176 countries, the findings reveal that economic size, geographic proximity, and development levels significantly influence AI activity. While developed countries dominate across all observation metrics in absolute numbers, developing regions show notable growth in research collaborations. Targeted policy interventions are proposed to bridge disparities, strengthen knowledge creation, and foster inclusive AI ecosystems. The results emphasize the strategic importance of the development phase in achieving equitable human development outcomes.pt_PT
dc.identifier.tid203962567pt_PT
dc.identifier.urihttp://hdl.handle.net/10362/186051
dc.language.isoengpt_PT
dc.relationUID/ECO/00124/2013pt_PT
dc.subjectArtificial Intelligencept_PT
dc.subjectAI Determinantspt_PT
dc.subjectGravity equationpt_PT
dc.subjectInclusive developmentpt_PT
dc.subjectGlobal governancept_PT
dc.subjectPolicypt_PT
dc.titleDeterminants of AI collaborations, patents, and investments: a gravity equation approach towards policy recommendations for human developmentpt_PT
dc.typemaster thesis
dspace.entity.typePublication
rcaap.rightsembargoedAccesspt_PT
rcaap.typemasterThesispt_PT
thesis.degree.nameA Work Project, presented as part of the requirements for the Award of a Master’s degree in International Development and Public Policy from the Nova School of Business and Economicspt_PT

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