COVID-19 has necessitated a more collaborative way of working. As we move towards recovery we outline how open data sharing can facilitate innovation.
From jobs and wages to education and skills – leading economic thinkers have mapped out a route to recovery from the pandemic that would benefit all.
The sharing economy is a mature concept in the B2C segment, however it is in its early days for becoming business as usual in B2B.
Each day on Earth we generate 500 million tweets, 294 billion emails and 4 million gigabytes of Facebook data, which is only a small portion of all data.
The EU’s first draft Regulation on AI is part of a wider effort to develop human-centric AI by mitigating AI’s mistakes and biases to ensure it is safe.
Governments and stakeholders need to cooperate more closely across borders in parallel to negotiating data openness in modern trade deals.
Better protection frameworks for data collection and sharing are needed. A new report from Data for Common Purpose Initiative identifies key enablers.
We must challenge the irresponsible use of technology undermining our societies and democracies by prioritizing tech governance through these approaches.
In March 2021, voters in Switzerland rejected a government backed digital ID scheme. What can other governments and organizations learn from the Swiss?
Complex and interlinked forces are transforming the data ecosystem. Giving this changing landscape, we asked a range of experts which issues were capturing their attentions.
Investors still do not have the information they need to take sustainability into account when making investment decisions.
Data is now of fundamental importance in all spheres of human activity, which is why we must develop a set of globally agreed standards and principles.
Microsoft's 'Project Natick' experiment off the coast of Scotland has shown underwater data centers could be up to eight times more reliable than their dry-land counterparts.
Authorized Public Purpose Access (APPA) is a new framework for data governance that could help tackle privacy issues related to COVID-19 contact tracing.
Artificial intelligence (AI) models and algorithms can save time and money in the search for drug candidates for emerging diseases, including COVID-19.
