Data Science: A Powerful Catalyst for Cross-Sector Collaborations to Transform the Future of Global Health—Developing a New Interactive Relational Mapping Tool (Demo). Issue 1 (2nd January 2018)
- Record Type:
- Journal Article
- Title:
- Data Science: A Powerful Catalyst for Cross-Sector Collaborations to Transform the Future of Global Health—Developing a New Interactive Relational Mapping Tool (Demo). Issue 1 (2nd January 2018)
- Main Title:
- Data Science: A Powerful Catalyst for Cross-Sector Collaborations to Transform the Future of Global Health—Developing a New Interactive Relational Mapping Tool (Demo)
- Authors:
- Bulc, Barbara
Landers, Cassie
Driscoll, Katherine - Abstract:
- ABSTRACT: The increasingly complex and rapidly changing global health and socioeconomic 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 nonprofits are essential for lasting success in achieving the Sustainable Development Goals (SDGs), and securing a prosperous future for the health and well-being of all people (United Nations, n.d .). 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 and multidisciplinary collaborations. Initially, the mapping tool focuses on Geneva, Switzerland as the world center of global health diplomacy with over 80 key stakeholders and influencers present. As we develop the next level pilot, we aim to build on users' interests, with a potential focus on non-communicable diseases (NCDs) as one of the emerging and most pressing global health issues that requires new collaborative approaches. Building on this pilot, we can later expand beyond only SDG 3 to other SDGs.
- Is Part Of:
- Journal of technology in human services. Volume 36:Issue 1(2018)
- Journal:
- Journal of technology in human services
- Issue:
- Volume 36:Issue 1(2018)
- Issue Display:
- Volume 36, Issue 1 (2018)
- Year:
- 2018
- Volume:
- 36
- Issue:
- 1
- Issue Sort Value:
- 2018-0036-0001-0000
- Page Start:
- 69
- Page End:
- 75
- Publication Date:
- 2018-01-02
- Subjects:
- Data analysis -- data visualization -- impact of technology -- networked society -- sustainable development goals
Human services -- Data processing -- Periodicals
Human services -- Information services -- Periodicals
Social service -- Data processing -- Periodicals
361.0028 - Journal URLs:
- http://www.haworthpress.com/store/product.asp?sku=J017 ↗
http://www.informaworld.com/openurl?genre=journal&issn=1522-8835 ↗
http://www.tandfonline.com/loi/wths20 ↗
http://www.tandfonline.com/ ↗ - DOI:
- 10.1080/15228835.2017.1417954 ↗
- Languages:
- English
- ISSNs:
- 1522-8835
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5068.562500
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 6167.xml