BEGIN:VCALENDAR VERSION:2.0 PRODID:-//132.216.98.100//NONSGML kigkonsult.se iCalcreator 2.20.4// BEGIN:VEVENT UID:20260705T132940EDT-9246doFjbc@132.216.98.100 DTSTAMP:20260705T172940Z DESCRIPTION:Towards AI-driven Food and Nutrition Science and Society: Oppor tunities and Challenges\n\nTome Eftimov\n\nSenior Researcher\, Computer Sy stems Department\, Jožef Stefan Institute\n\nRegister & watch webinar\n\nT ome Eftimov is a senior researcher at the Computer Systems Department at t he Jožef Stefan Institute. He is a visiting assistant professor at the Fac ulty of Computer Science and Engineering\, Ss. Cyril and Methodius Univers ity\, Skopje. He is a part of the ELIXIR Food and Nutrition Community. He was a postdoctoral research fellow at the Stanford University\, USA\, wher e he investigated biomedical relations outcomes by using AI methods. In ad dition\, he was a research associate at the University of California\, San Francisco\, investigating AI methods for rheumatology concepts extraction from electronic health records. His research interests include natural la nguage processing\, statistical data analysis\, metaheuristics\, represent ation learning\, and machine learning. He is an organizer of several works hops related to AI at high-ranked international conferences including the Big Food and Nutrition Data Management and Analysis at the IEEE BigData co nference 2019\, 2020\, and 2021. He is a scientific coordinator of a EFSA funded project related to information extraction in food safety and active ly participates in several European projects related to AI and food and nu trition data\, including COMFOCUS.\n  \n\nAbstract\n\nLancet Planetary Heal th in 2019 noted that the focus of future improvements in our wellbeing an d societies will depend on investigating the links between food systems\, human health\, and the environment. However\, despite the large number of available resources and work done in the health and environmental domains\ , there is a lack of data and digital resources that can be utilized in th e food and nutrition domain\, as well as their interconnections. For the p urpose of attaining human and societal wellbeing through advances in the f ield of artificial intelligence (AI)\, the talk will focus on opportunitie s for utilizing big data from food and nutrition and their interrelations with the biomedicine and the environment. Huge amounts of data containing valuable information is now available in various datasets\, registries\, a nd scientific and grey literature\, which makes it possible to use advance d Artificial Intelligence (AI) methods. However\, before applying AI metho ds on real-life\n data\, that is heterogeneous (i.e.\, of different types a nd formats)\, unstructured (textual) data needs to be structured and norma lized with other structured data. In this talk\, we will explain AI method s and resources that can be used on different levels in the modeling proce ss\, starting from raw data to discovered knowledge. Finally\, the existen ce of such methods and resources will be linked to several application sce narios of utilizing food and nutrition data in predicting emotional distre ss\, COVID-10 mortality rate\, and food chain traceability.\n\nDr. Eftimov 's presentation will be supported by his collaborators: Barbara Koroušić S eljak and Gjorgjina Cenikj.\n\nChair: Laurette Dubé (Scientific Director o f MCCHE)\n Co-Chair & Moderator: John G. Keogh (Managing Principal\, Shanta lla Inc. Toronto )\n Special Panel: A panel with scientists\, business and policy leaders will discuss how scientific and technological developments and ontologies bridging farm\, food and human behavior\, can accelerate th e design and long-term performance of convergence platforms ecosystems tar geting achievable and time-bound real-world solutions placing human and en vironmental health at the core. This will advance the design of integrativ e digital architecture and governance framework to scale up how real-world data generated by individuals and institutions within and across discipli nes and sectors can contribute to a World reset on convergence economy\, b uilding upon the challenges and possibilities reviewed above. Capitalizing on digital transformation of science and society\, convergence economy ta kes a person-centered approach to bridging organizations and systems acros s sectors and jurisdictions\, fully acknowledging that developed and devel oping worlds share the same planet\, for world-scale transformation toward sustainable prosperity and affordable nutrition and health.\n\n\nABOUT TH E SERIES\n\nThe Convergent Innovation Webinar Series features cutting edge science\, technology and innovation in agriculture\, \;food\, environment \, education\, medicine and other domains of everyday life where grand cha llenges lie at the convergence of health and economics. Powered by data sc ience\, artificial intelligence\, and other digital technologies\, this di sciplinary knowledge bridges with behavioural\, social\, humanities\, busi ness\, economics\, social\, engineering\, and complexity sciences to accel erate real-world solution at scale\, be it in digital or physical contexts . Initiated in the agri-food domain\, the series is now encompassing other grand challenges facing modern and traditional economies and societies\, such as ensuring lifelong wellness and resilience at both the individual a nd population levels.\n DTSTART:20220317T150000Z DTEND:20220317T170000Z SUMMARY:MCCHE Convergent Innovation Webinar Series with Tome Eftimov URL:/desautels/channels/event/mcche-convergent-innovat ion-webinar-series-tome-eftimov-338262 END:VEVENT END:VCALENDAR