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Technological development has long been considered as a disruptive force, provoking change at many levels, from the routine daily activities of individuals to dramatic competition between global superpowers. This analysis examines disruption caused by technologies in a series of key areas of politics, economics and society. It focuses on seven fields: the economic system, the military and defence, democratic debates and the 'infosphere', social norms, values and identities, international relations ...

Biodiversity is in crisis across the globe: species extinctions and a loss of nature occurring at rates unprecedented in human history, and with the EU no exception, our biodiversity and the essential value it brings are under threat. Could 'rewilding' help restore Europe's nature?

Fashion is the second most polluting industry in the world, coming just after oil. Clothing manufacture and consumption have a huge negative impact on both the environment and people. Sustainability is not only about the environment, but is also an economic and social indicator, and the clothing industry is a good example illustrating their interconnections. Are technological innovations alone enough to 'tailor' a green and fair future for fashion?

The main aim of this report is to present and discuss the results of a survey concerning perspectives on fake news among undergraduate university students in central and eastern Europe. The survey was carried out in spring 2020 during the coronavirus pandemic, using an online questionnaire. Misinformation is always troubling, especially in science. Scientists feel distressed when public understanding diverges from the truth. Intentional disinformation (fake news), however, is not always the cause ...

Insects, while commonly consumed elsewhere in the world, have long been off the menu in Europe – but they could soon be creeping their way onto our plates. Entomophagy, the practice of eating insects, is now gaining serious interest – is it set to take Europe by swarm?

Artificial intelligence (AI) is probably the defining technology of the last decade, and perhaps also the next. The aim of this report is to support meaningful reflection and productive debate about AI by providing accessible information about the full range of current and speculative techniques and their associated impacts, and setting out a wide range of regulatory, technological and societal measures that could be mobilised in response.

This study addresses the relation between the EU General Data Protection Regulation (GDPR) and artificial intelligence (AI). It considers challenges and opportunities for individuals and society, and the ways in which risks can be countered and opportunities enabled through law and technology. The study discusses the tensions and proximities between AI and data protection principles, such as in particular purpose limitation and data minimisation. It makes a thorough analysis of automated decision-making ...

There is little doubt that artificial intelligence (AI) and machine learning (ML) will revolutionise public services. However, the power for positive change that AI provides simultaneously has a potential for negative impacts on society. AI ethics work to uncover the variety of ethical issues resulting from the design, development, and deployment of AI. The question at the centre of all current work in AI ethics is: 'How can we move from AI ethics to specific policy and legislation for governing ...

The European Union (EU)'s Research and Innovation Framework Programmes are the largest programmes for international research collaboration worldwide. Repeated reports point to the issue of underperformance in the Framework Programmes by the EU13 Member States - countries that joined the EU in and after 2004 - in comparison with the EU15 Member States - which entered the EU before 2004. This in-depth analysis explores the background of various challenges in research and development of EU13 vs EU15 ...

Artificial intelligence could help in the fight against dementia, a rapidly growing public health problem! Which AI applications in dementia diagnosis and treatment are already under way, and what are future directions and implications? What if, in the future, we could have access to human brains like Google maps? What if we could backup our minds and restore it when needed, such as in the case of getting dementia?