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SUMMARY:Practical Introduction to Artificial Intelligence for University Staff
DESCRIPTION:A hands-on introduction to how modern AI tools work and how to apply them effectively across teaching\, research\, and administrative contexts.\n\n\n\n \n\n\n\n\nCourse format: Online\n\n\n\nType of program: E-Skill program\n\n\n\nTarget group: Academic and Non-academic Staff\n\n\n\nLanguage: English\n\n\n\nCost: Free\n\n\n\nAvailable places: 60\n\n\n\n\nDeadline for admission is 7 April 2026 \n\n\n\nAudience\n\n\n\nThis course is designed for university professionals including academic staff\, researchers\, and administrative staff who want to use AI tools in a practical and responsible way to improve everyday work (communication\, documentation\, planning\, and decision support)\, regardless of discipline or role. \n\n\n\nPre-requisites\n\n\n\n\nB2 or similar level of English is necessary.\n\n\n\nNo prior background in computer science\, mathematics\, or programming is required.\n\n\n\nBasic digital skills (using documents\, email\, and online tools) are sufficient.\n\n\n\nCuriosity about how AI tools can support everyday work is recommended.\n\n\n\nInterest in improving efficiency\, clarity\, and quality in university workflows is recommended.\n\n\n\n\n \n\n\n\nShort Description\n\n\n\nThis course provides a practical introduction to modern Artificial Intelligence tools and how to use them effectively and responsibly in a university setting. Rather than focusing on theory or complex technical details\, it helps participants understand how AI systems behave\, how to communicate with them clearly\, and how to integrate them into real institutional and professional workflows. \n\n\n\nParticipants will learn how to use AI to support writing and editing\, research and information gathering\, knowledge management\, and content creation while understanding limitations\, reliability risks\, data considerations\, and the ethical implications relevant to higher education. \n\n\n\nContent\n\n\n\n\nHow AI tools work in practice: capabilities\, limitations\, and common sources of error.\n\n\n\nAdvance Prompting for professional use. Structured ways to interact with AI in order to obtain useful outputs. Approaches adapted to different tasks and levels of complexity.\n\n\n\nUse of AI for teaching\, research\, and administration. Drafting and revising documents\, summarizing and structuring information\, improving internal communication\, and supporting collaboration.\n\n\n\nMultimodal uses: text\, images\, and audio.\n\n\n\nHow AI can be integrated into existing workflows\, adapted to specific roles\, and used responsibly\, with attention to ethical considerations relevant to higher education.\n\n\n\n\nLearning Outcomes\n\n\n\nAfter completing the course\, students will be able to: \n\n\n\n\nUse AI tools confidently for administrative tasks or research and teaching activities.\n\n\n\nWrite clear prompts and requests that improve the relevance\, accuracy\, and usability of AI-generated outputs.\n\n\n\nCritically assess AI-generated information and recognize unreliable\, incomplete\, or incorrect content.\n\n\n\nApply AI to real situations such as document drafting\, knowledge management\, and multimedia creation.\n\n\n\nCustomize AI tools to personal needs using available settings and automation features.\n\n\n\n\nDuration\n\n\n\n30 hours (6 weeks\, 5 hours per week) \n\n\n\n\n2.5 hours of synchronous online sessions per week.\n\n\n\n2.5 hours of guided self-study per week.\n\n\n\n\nAssessment\n\n\n\nTo successfully complete the course\, participants are expected to: \n\n\n\n\nAttend at least 80% of the synchronous sessions.\n\n\n\nSubmit the assigned activities.\n\n\n\nParticipate actively in in-class dynamics and practical exercises.\n\n\n\n\nHow to Apply\n\n\n\n\nMore Info and Registration
URL:https://unigreen-alliance.eu/event/practical-introduction-to-artificial-intelligence-for-university-staff/
ATTACH;FMTTYPE=image/jpeg:https://unigreen-alliance.eu/wp-content/uploads/2026/03/Banner_eskill-AI.jpg
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DTSTART;TZID=Europe/Brussels:20260518T000000
DTEND;TZID=Europe/Brussels:20260523T235959
DTSTAMP:20260521T040019
CREATED:20260120T145109Z
LAST-MODIFIED:20260403T101827Z
UID:10000035-1779062400-1779580799@unigreen-alliance.eu
SUMMARY:Scientific Mission: Circular Bioeconomy for Resilient Rural Communities
DESCRIPTION:UNIgreen’s JRC6 – Bioeconomy\, Agricultural and Rural Policy – Scientific Mission \n\n\n\nWho?\n\n\n\nResearchers and PhD students of UNIgreen Alliance universities with Minimum EQF level 7 (MSc or equivalent) in agricultural\, environmental\, or economic sciences.  \n\n\n\nObjectives \n\n\n\n\nIntensification of academic exchange by enhancing access to advanced research resources\n\n\n\nFacilitation of mobility for academics and doctoral students \n\n\n\nEstablishing international scientific networks among participants \n\n\n\nImproving research quality through knowledge exchange \n\n\n\nAdvancing UNIgreen towards becoming a collaborative community focused on innovation and sustainability \n\n\n\n\nProgramme\n\n\n\n\nDay 1: Arrival of participants\, registration\, and networking icebreaker. \n\n\n\nDay 2: Introduction to the topic of circular bioeconomy and rural resilience; field visit to local cooperatives (bio-based feedstock collection and processing) or unit for processing of residual biomass; visit to research facilities (e.g. analytical laboratory\, demonstration units). \n\n\n\nDay 3: Workshop on sustainable policy frameworks – EU Bioeconomy\, Strategy\, CAP reforms\, and rural innovation ecosystems. \n\n\n\nDay 4: Co-creation lab: design of multi-actor pilot projects on residue valorization and green jobs (linked to Horizon Europe Cluster 6 calls); verification of competences. \n\n\n\nDay 5: Presentation of group projects\, feedback session\, group photo\, certification ceremony\, and departure. \n\n\n\n\nTopics of Training\n\n\n\nValorising Agricultural Residues through Green Innovation \n\n\n\n\nCircular bioeconomy principles and policy instruments \n\n\n\nValorization of agricultural residues and by-products \n\n\n\nLife Cycle Assessment (LCA) and carbon footprinting\n\n\n\nCommunity-based innovation and rural entrepreneurship \n\n\n\nFunding opportunities under Horizon Europe and CAP \n\n\n\n\nWho can apply?\n\n\n\nScientists employed by the UNIgreen Alliance Universities or persons completing their doctoral studies at the UNIgreen Alliance Universities\, with \n\n\n\n\nAt least CEFR B2 English language proficiency\n\n\n\n\n\nAt least EQF level 7 of education in the subject area: Health or Agronomy\n\n\n\n\n\n\n\n\n\nREGISTRATION\n\n\n\n\nApplication deadline: 5 April 2026
URL:https://unigreen-alliance.eu/event/scientific-mission-circular-bioeconomy-for-resilient-rural-communities/
CATEGORIES:Scientific Mission
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