★Ray Walshe🇮🇪🇪🇺 🇺🇳⚖️

A Horizon2020 project for using the European cloud infrastructure for public administrations. Policy Cloud will deliver an integrated cloud-based environment for data-driven policy management. The environment will provide decision support to public authorities for policy modelling, implementation and simulation through identified populations, as well as for policy enforcement and adaptation. Policy Cloud technologies will optimize policies across sectors by utilizing the analysed inter-linked datasets and assessing the impact of policies, while considering different properties and population segmentations, in order to ensure high impact of the proposed policies. The Policy Cloud environment will introduce a holistic methodology for policies modelling and management based on data artefacts, while also providing a toolkit allowing both stakeholders and engaged citizens to create policies by exploiting Policy Cloud models and analytical tools on various datasets, contexts and policy models. Moreover, the toolkit will allow stakeholders to specify their requirements and parameters to be considered during the collection and analysis of different datasets, thus tailoring policy making. Core to the environment will be the creation of interoperable and reusable models and analytical tools that will use data and analytical capacity offered by cloud environments. Policy Cloud has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No. 870675.

A Horizon2020 project for using the European cloud infrastructure for public administrations. Policy Cloud will deliver an integrated cloud-based environment for data-driven policy management. The environment will provide decision support to public authorities for policy modelling, implementation and simulation through identified populations, as well as for policy enforcement and adaptation. Policy Cloud technologies will optimize policies across sectors by utilizing the analysed inter-linked datasets and assessing the impact of policies, while considering different properties and population segmentations, in order to ensure high impact of the proposed policies. The Policy Cloud environment will introduce a holistic methodology for policies modelling and management based on data artefacts, while also providing a toolkit allowing both stakeholders and engaged citizens to create policies by exploiting Policy Cloud models and analytical tools on various datasets, contexts and policy models. Moreover, the toolkit will allow stakeholders to specify their requirements and parameters to be considered during the collection and analysis of different datasets, thus tailoring policy making. Core to the environment will be the creation of interoperable and reusable models and analytical tools that will use data and analytical capacity offered by cloud environments. Policy Cloud has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No. 870675.

This is a communications and news feed for JTC 1 JTC 1 is the standards development environment where experts come together to develop worldwide Information and Communication Technology (ICT) standards for business and consumer applications. Additionally, JTC 1 provides the standards approval environment for integrating diverse and complex ICT technologies. These standards rely upon the core infrastructure technologies developed by JTC 1 centres of expertise complemented by specifications developed in other organizations. JTC 1 was created by the International Organization for Standardization (ISO) and the International Electrotechnical Commission (IEC) to provide a single, comprehensive standardization committee in which to address international Information Technology (IT) standardization.

The European DatSci & AI Awards 2019 in collaboration with the BDVA & CeADAR. Setting the gold standard for Data Science & AI in Industry, Education and Social Responsibility and to continue to grow and connect the Data Science community across Europe. Sign up to the mailing list to hear about the competition! https://www.datsciawards.com/ To stay up to date follow: @DatSciAwards on Twitter #DatSciAwards. If you are interested in 2019 Sponsorship opportunities mail: emma.quinn@datsciawards.com for more info. 2018 DatSciAwards Hall of Fame: DATA SCIENTIST OF THE YEAR sponsored by Deloitte Ireland WINNER: Michael Phelan | Johnson & Johnson BEST USE OF DATA SCIENCE IN A LARGE COMPANY sponsored by VHI WINNER: Genesys BEST USE OF DATA SCIENCE IN AN SME sponsored by Enterprise Ireland WINNER: HerdInsights BEST OF USE OF DATA SCIENCE IN A STARTUP sponsored by AIB WINNER: EdgeTier BEST APPLICATION OF AI sponsored by The Aon Centre for Innovation and Analytics (ACIA) WINNER: Accenture The Dock BEST USE OF DATA TO ACHIEVE SOCIAL IMPACT sponsored by Deutsche Bank WINNER: National Biodiversity Data Centre DATA SCIENCE TECHNOLOGY INNOVATION OF THE YEAR sponsored by Three Ireland WINNER: AIB Analytics Factory BEST USE OF DATA SCIENCE IN A PUBLIC SECTOR BODY sponsored by Next Generation WINNER: Pobal BEST CONTRIBUTION TO DATA SCIENCE – ACADEMIC RESEARCH BODY sponsored by First Data WINNER: ADAPT Centre,Trinity College Dublin AWARD FOR BEST DATA SCIENCE STUDENT OF THE YEAR sponsored by Pramerica WINNER: Luke Kelly | NUI Galway

ISO/IEC JTC 1/SC 42 is an international standards committee responsible for developing artificial intelligence (AI) standards. SC 42 is a joint committee of ISO and IEC. As the focal point of standardization on AI within ISO and IEC, SC 42’s program work looks at the entire AI ecosystem. Additionally, SC 42 is scoped to provide guidance to ISO and IEC committees developing Artificial Intelligence applications. Its current program work includes standardization in the areas of foundational AI standards, Big Data, AI trustworthiness, use cases, applications, governance implications of AI, computational approaches of AI, testing, ethical and societal concerns.