The enforcement of the historic United States law to combat international corruption was suspended on 10 February 2025 through a presidential executive order. On the same day, companies under investigation or sanctioned for corruption increased their market capitalisation by an average of USD 160 million. A signal that could also lead other countries to scale back their efforts to fight international corruption

The Universitat Jaume I in Castelló will develop six research and innovation projects in areas such as environmental sustainability and risk detection to improve disaster response through funding obtained in the competitive call for proposals from the Valencian Innovation Agency (AVI) (IVACE+e innovación) 2025, which seeks to promote innovation, R&D transfer and collaboration between universities, technology centres and companies.

The UJI has obtained funding in three lines of the call financed by the European Union within the framework of the European Regional Development Fund (ERDF) Programme for the Valencian Community 2021-2027 – IVACE+ for an amount of nearly one million euros, with which it will promote six projects with direct technological and social impact to respond to real challenges.

The various initiatives led by UJI research staff will provide innovative solutions in the field of environmental sustainability through advanced technologies to improve water quality and management, strengthen the circular carbon economy, promote cleaner and safer production systems aligned with green technology, and strengthen the innovation ecosystem through materials with a lower environmental impact. They also seek to anticipate responses to situations of risk due to natural disasters resulting from climate change.

As generative AI systems become more deeply woven into the fabric of modern life – drafting text, generating images, summarizing news – debates over who should profit from the technology are intensifying. A new paper in the Journal of Technology and Intellectual Property argues that the current copyright system is ill-equipped to handle a world in which machines learn from, and compete with, human creativity at unprecedented scale.

A new study by Professor Damon Centola and alum Douglas Guilbeault explored how content moderators can reach consensus on classifying controversial material online, including inflammatory, offensive, or hateful images.