Data Science: A Powerful Catalyst for Cross-Sector Collaborations to Transform the Future of Global Health - Developing a New Interactive Relational Mapping Tool
Barbara Bulc (Global Development), Cassie Landers (Columbia, University), Katherine Driscoll (Columbia University)

TL;DR
This paper presents a new interactive relational mapping tool leveraging data science to visualize and enhance cross-sector collaborations for global health, starting with Geneva and aiming to expand to broader SDGs and health issues.
Contribution
It introduces an innovative data-driven mapping platform to identify and foster stakeholder collaborations around SDGs, especially SDG 3 and SDG 17, in global health diplomacy.
Findings
Initial mapping of Geneva's global health stakeholders completed
Tool facilitates identification of collaboration opportunities
Potential to expand to other SDGs and health issues
Abstract
The increasingly complex and rapidly changing global health and socio-economic landscape requires fundamentally new ways of thinking, acting and collaborating to solve growing systems challenges. Cross-sectoral collaborations between governments, businesses, international organizations, private investors, academia and non-profits are essential for lasting success in achieving the Sustainable Development Goals (SDGs), and securing a prosperous future for the health and wellbeing of all people. Our aim is to use data science and innovative technologies to map diverse stakeholders and their initiatives around SDGs and specific health targets - with particular focus on SDG 3 (Good Health & Well Being) and SDG 17 (Partnerships for the Goals) - to accelerate cross-sector collaborations. Initially, the mapping tool focuses on Geneva, Switzerland as the world center of global health diplomacy…
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Taxonomy
TopicsGlobal Public Health Policies and Epidemiology
