The coronavirus crisis is raising key governance questions regarding the handling of health data. Frameworks can help societies develop the data approach that works for their populations.
Models can explain, project or change behaviour. But when behaviour changes, so, too, can the data. Here's what we've learned from coronavirus models.
Decision-makers need to maintain trust by listening to the science, adapting policies as new data emerges, and explaining those changes to the public.
We need to share data on transmission, symptoms, testing and hospital admissions to understand the impact of coronavirus around the world.
As governments explore data-driven solutions to curb the spread of COVID-19, we must consider how our data will be handled in the aftermath of the crisis.
Insight into preventive actions, population mobility, the spread of the disease, and people's resilience can help leaders respond more effectively to COVID-19.
Data science allows for a unique insight into how governments, corporations and citizens alike should respond to the COVID-19 coronavirus outbreak.
Like oil and other natural resources, the extraction of data requires energy - and we are not using it sustainably, either. It's time for a new approach.
Businesses that understand the value of collaboration and respect data sovereignty and ownership will be the winners.
PwC’s yearly survey of top bosses has found a record level of pessimism on economic growth. But what’s behind this view?
The digital transformation we are living through is built on data - but trust in the way data is handed is decreasing. Here's how business leaders can turn this around for the benefit of ...
Big data presents a huge opportunity to fuel the next century of innovation, but privacy remains a problem.
After years of headlines about data-misuse, broken trust and tightening regulations are reversing the promise of the data economy. Could new data privacy tech offer a way forward?
The next chapter of the Fourth Industrial Revolution offers companies and governments the chance to improve how data is managed.
Companies can harness the power of data to make commodity supply chain more sustainable.
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