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Person: Enrico Motta

<p>Enrico Motta</p>

Novel AI methodologies for evaluating equity, balance, and inclusivity within media content

KMi’s grant from the Open Societal Challenge (OSC) aims to enhance our capacity to model the ebb and flow of perspectives within news narratives. Despite the prevalence of social media, traditional news outlets remain essential for informing the public and ideally presenting a balanced array of viewpoints pertinent to democratic discourse. This diversity of perspectives,…

The Partnership between the OU and City Council Puts City Innovation in the spotlight

Milton Keynes City Council and The Open University are collaborating once again on the MK:Smart initiative, aiming to strengthen Milton Keynes’ position as a leading smart city globally. Led by the OU’s Knowledge Media Institute , MK:Smart involved over 20 organizations, focusing on technology trials to enhance city living standards, particularly in sustainable transport, energy, and water…

The GATEKEEPER project concludes with outstanding success after a four-year duration

The GATEKEEPER is one of four EU flagship projects tasked to develop the European Health Data Space, taking on the challenge of developing AI for prevention and chronic conditions. On the 23rd of February, GATEKEEPER had its successful end-of-project review for the exceptional quality of our work and the project’s achievements. The feedback from the…

Springer Nature and KMi launch a new phase of their collaboration

Following the signing of a new contract, which extends the collaboration between KMi and Springer Nature (SN) to December 2025, KMi researchers Enrico Motta, Francesco Osborne and Angelo Salatino spent two days at the SN campus in London. The purpose of the workshop was to gather all the relevant stakeholders from the various SN scientific…

KMi at ISWC 2023

The 22nd International Semantic Web Conference (ISWC 2023), a leading global event for the Semantic Web and Knowledge Graph Community, has successfully wrapped up, marked by notable involvement from KMi researchers. The ISWC series of conferences is coordinated by the Semantic Web Science Association (SWSA), whose Vice-President is KMi’s Harith Alani. Professor Alani is also…

OU joins the Turing University Network focussing on data science and AI

The Open University (OU) has joined a growing list of universities in The Alan Turing Institute’s network. The Turing University Network offers UK universities, with an interest in data science and AI, the opportunity to engage and collaborate both with the Institute and its broader networks in academia, industry and the public sector. It will also…

Peter Scott Visits KMi

Professor Peter Scott today paid a flying visit to KMi, the department he was director of from 2007 to 2015, and spoke with our current Vice Chancellor Prof. Tim Blackman and two other ex-directors, Prof. John Domingue and Prof. Enrico Motta, as well as other long-term KMi staff. Renowned for his transformational leadership in learning innovation,…

Extended Semantic Web Conference 20th Anniversary

The Semantic Web Community gathered in Crete for the 20th Extended Semantic Web Conference (ESWC 2023) to hear the latest results in research, technologies, and applications in its field. This is a major venue for discussing the latest scientific results and technology innovations around semantic technologies. In addition to a technical program organized over numerous…

KMi article among the top 10 most downloaded in 2022 for International Journal of Social Robotics

Congratulations to Gianluca Bardaro, Alessio Antonini & Enrico Motta whose article Robots for Elderly Care in the Home: A Landscape Analysis and Co-Design Toolkit has been announced as one of the Top 10 Downloaded Articles in the International Journal of Social Robotics in 2022. The article, published in August 2021, was based on a case study for the EU…

No corrections required for Agnese’s PhD Thesis!

Congratulations to Dr. Agnese Chiatti, who brilliantly defended her PhD Thesis, entitled "Visually Intelligent Agents – Improving Sensemaking in Service Robotics”. Agnese’s thesis, carried out under the supervision of Prof Enrico Motta and Dr Enrico Daga, tackled the problem of service robots operating in the real world, which need to interpret correctly the environment around…


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