During the last 30 years, digital data and artificial intelligence (AI) to exploit that data have emerged as central to management of our society. At the same time, the development of digital networks and big computing centers has promoted centralization of data and digital systems, leaving individuals and communities outside of this new digital ecosystem and without the ability to control local finance, health, or governance systems. New distributed technologies, loosely described as Web3 and employing technologies such as federated AI, blockchain, Internet of Things (IoT), and others, have the potential to give back control of data, AI, and its benefits to individuals and communities. In addition to the many private efforts now being launched, some national governments are aggressively pursuing this new suite of technologies, but with much stronger government oversight. Consequently, there is an urgent need to develop standards that guarantee a Web3 economy that remains truly distributed and yet provides global interoperability along with adequate protection for individuals and communities.

Traditional colonial power seeks unilateral power and domination over colonised people. It declares control of the social, economic, and political sphere by reordering and reinventing the social order in a manner that benefits it. In the age of algorithms, this control and domination occurs not through brute physical force but rather through invisible and nuanced mechanisms such as control of digital ecosystems and infrastructure. Common to both traditional and algorithmic colonialism is the desire to dominate, monitor, and influence the social, political, and cultural discourse through the control of core communication and infrastructure mediums. While traditional colonialism is often spearheaded by political and government forces, digital colonialism is driven by corporate tech monopolies--both of which are in search of wealth accumulation. The line between these forces is fuzzy as they intermesh and depend on one another. Political, economic, and ideological domination in the age of AI takes the form of "technological innovation", "state-of-the-art algorithms", and "AI solutions" to social problems. Algorithmic colonialism, driven by profit maximisation at any cost, assumes that the human soul, behaviour, and action is raw material free for the taking.

Given the scale of its impact and the kind of alteration that it brought into our lives, COVID19 is one of the most unprecedented crises of our times. Although it is not the only pandemic that humanity has been through, COVID19 is occurring in the time of the fourth industrial revolution where everyone and everything is one click way, and where the excess of data and computing has allowed machines to be more intelligent than ever. In the age of deep tech and data, data science is definitely at the core of how we are facing the pandemic and paving the way for a new normal. This article provides a non-exhaustive list of use cases in which data science has been leveraged to provide emergency response during COVID and facilitate post-COVID recovery. Collecting and analyzing medical data dating from the early stages of the virus allowed understanding what the virus is all about.

There is a "real risk" that the growth of automation and increased use of artificial intelligence will see communities across Scotland left behind, Nicola Sturgeon has warned. Speaking at the Wellbeing Economy Alliance conference, the first minister said the growth of new technology will bring new opportunities for Scotland, but that their introduction must be carefully managed to ensure that the benefits are shared. The Scottish Government has worked with the Scottish Trades Union Congress to examine the effects of new technologies on the economy and workforce, with a joint 2018 report finding "there is a plausible case that the technological change in the 21st century could pose new and serious challenges in sustaining a labour market that supports broadly based prosperity". Appearing in Edinburgh, Sturgeon said her government aimed to create an economy where "collective wellbeing" was as fundamental as GDP, but warned that the movement to a low-carbon economy and the growth of new technologies would also pose challenges for communities and workers. The SNP leader said: "As we moved to increased use of technology, such as artificial intelligence, there is again a big potential for real economic benefit, particularly for country like Scotland, and for a city like Edinburgh, where there is already a very strong, vibrant and growing tech sector. But there are also a range of ethical questions to confront. There is also a real risk that as we make that transition, individuals and communities are left behind, so we must work now to make sure that does not happen."