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COVID-19 took the world by surprise. A report from the UK’s Foreign, Commonwealth and Development Office (FCDO) highlighted the unnerving lack of global coordination between the human, animal and environmental health sectors in responding to the virus.
While the origins of COVID-19 remain debated, it is widely believed to have originated in bats before spreading to humans. The transmission of this disease from animal to human, and its rapid spread across international borders, demonstrate that issues of health security are often not isolated to humans or animals or ecosystems, or within national borders.
Increasingly problems of health security are “problems without passports” that pay no attention to borders between countries, or dividing lines between government departments or academic disciplines. Today, particularly in the shadow of the COVID-19 pandemic, governments are recognising that tackling the health of people, animals, and the environment separately does not account for the significant impacts each has on the other.
The next pandemic will likely be caused by a disease that crosses from animals to humans. As the human population continues to increase, more people live in close proximity to animals as they move into new areas. Climate change and increased land use are continuing to change environmental conditions, creating new opportunities for disease to be transmitted. Meanwhile, the resumption and acceleration of global trade and travel means that diseases will continue to spread more quickly. A One Health approach will be vital for responding early and effectively to this threat.
Discover how PUBLIC is advancing the UK Government use of Generative AI, and explore our latest blog for insights on bridging the implementation gap and offering practical pathways for responsible AI adoption.
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PUBLIC and Amazon Web Services (AWS) team up to host AI in the Public Sector Showcase to drive the adoption of AI-powered solutions to improve government services.
Check out our latest interview on driving AI adoption in the UK public sector with Thomas Chalk. Gain insights into how we can guide responsible, impactful AI adoption across government services.
The private sector often outpaces government in digital innovation and adoption. This has bred a concept known as the private-public ‘digital divide,’ whereby governments fall behind in providing users with the seamless digital experiences they’ve come to expect. The advent of generative AI threatens to exacerbate this divide.
How can public sectors orgs start using low-code/no-code (LCNC) as a lower cost and quicker-to-execute way of doing advanced analytics?
How can public sector organisations rapidly prototype Machine Learning (ML) to get feedback fast and outcomes that last?
How is PUBLIC working with Data & AI to bring solutions - rather than hype - to the public sector?
In order to achieve a truly data-driven public sector we must embed a 'data culture' across all departments to complement data skills training.
In celebration of International Open Data Day, our latest blog highlights four distinct opportunities where we see open data making practical impacts on public services - championing case studies of excellence for each.
In this blog, we expand upon the emerging theme of data and AI, and highlight several key insights from the Summit, such as the importance of instilling a sense of trust in government use of data and AI to unlock the full potential of these technologies.
In this blog, we outline several case studies of data being effectively collected, integrated, and analysed to equip governments with new tools to address our current crises around climate, health systems, security and the economy.
The transformation of supply chain data sharing across sectors is crucial for international trade that is digitised, frictionless, and secure.
