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DTSTART;TZID=Europe/Brussels:20260916T000000
DTEND;TZID=Europe/Brussels:20261021T235959
DTSTAMP:20260918T073457Z
CREATED:20260918T071759Z
LAST-MODIFIED:20260918T073457Z
UID:10000112-1789516800-1792627199@unigreen-alliance.eu
SUMMARY:Practical Introduction to Artificial Intelligence for University Staff (2nd Edition)
DESCRIPTION:Discover modern AI tools. A hands-on course designed to boost productivity in academic and administrative tasks.\n\n\n\n \n\n\n\n\nCourse format: Online\n\n\n\nType of program: E-Skill programme\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\nTeaching hours: 30\n\n\n\n\nDeadline for admission is 16 September 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. Advance Prompting for professional use. Structured ways to interact with AI in order to obtain useful outputs.\n\n\n\nApproaches adapted to different tasks and levels of complexity. Use 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. How 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\n \n\n\n\n\n16 September: 11:30 – 14:00 (CEST)\n\n\n\n23 September: 11:30 – 14:00 (CEST)\n\n\n\n30 September: 11:30 – 14:00 (CEST)\n\n\n\n7 October: 11:30 – 14:00 (CEST)\n\n\n\n14 October: 11:30 – 14:00 (CEST)\n\n\n\n21 October: 11:30 – 14:00 (CEST)\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\nIf you are interested in this course\, register by clicking on the green bar (at the top and the botton of this page during the registration period).  \n\n\n\nYou will then be taken to the Boost platform to fill in your personal details and complete your pre-registration.  \n\n\n\nYou must use your institutional account from your home university to book this course\, If you do not have one\, you must request access credentials to this course Administrative Support team.  \n\n\n\nOnce you have them\, you will be able to log in to Boost and complete your registration.  \n\n\n\nFinally\, Administrative Support will confirm your registration and provide you with the login details for the online course through which you will be able to take this course. \n\n\n\nAdministrative Support: marta_hulak@sggw.edu.pl \n\n\n\n\nMore Info and Registration
URL:https://unigreen-alliance.eu/event/practical-introduction-to-artificial-intelligence-for-university-staff-2nd-edition/
ATTACH;FMTTYPE=image/jpeg:https://unigreen-alliance.eu/wp-content/uploads/2026/03/Banner_eskill-AI.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Brussels:20260916T000000
DTEND;TZID=Europe/Brussels:20261021T235959
DTSTAMP:20260918T074744Z
CREATED:20260918T073251Z
LAST-MODIFIED:20260918T074744Z
UID:10000113-1789516800-1792627199@unigreen-alliance.eu
SUMMARY:Cybersecurity Introduction for Academic and Non-Academic Staff
DESCRIPTION:Fundamental digital security skills for safe teaching\, research\, and administrative work in a university environment\n\n\n\n \n\n\n\n\nCourse format: Online\n\n\n\nType of program: E-Skill programme\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\nTeaching Hours: 30\n\n\n\nECTS: 3\n\n\n\n\nDeadline for admission is 16 September 2026 \n\n\n\nAudience\n\n\n\nThe target audience includes: \n\n\n\n\nAcademic staff and lecturers\n\n\n\nResearchers and project coordinators\n\n\n\nPhD students involved in teaching\n\n\n\nAdministrative personne\n\n\n\nIT and technical staff\n\n\n\nInternational relations offices\n\n\n\nQuality assurance and project management staff\n\n\n\nPersonnel using LMS and cloud platforms.\n\n\n\n\nPre-requisites\n\n\n\n\nBasic digital literacy skills\, including confident use of a computer\, operating system (Windows\, macOS or Linux)\, and common software applications (Word\, Excel\, PDF).\n\n\n\nBasic experience in using the internet and email systems (e.g. Outlook\, Gmail)\, including sending attachments\, accessing links\, and navigating online platforms.\n\n\n\nFamiliarity with institutional digital environments\, such as learning management systems (e.g. Moodle)\, document management platforms\, university information systems\, or cloud services (Google Drive\, OneDrive\, Dropbox).\n\n\n\nRegular access to a computer and stable internet connection\, enabling participation in online learning activities and completion of self-study tasks.\n\n\n\nWillingness to apply good cybersecurity practices in daily professional activities related to handling institutional and personal data.\n\n\n\nBasic proficiency in English language\, sufficient to follow lectures\, understand terminology in the field of cybersecurity\, and complete course materials delivered in English.\n\n\n\nNo prior technical background in cybersecurity is required. The course is designed to provide practical knowledge and skills applicable to everyday professional tasks in a university environment.\n\n\n\n\n \n\n\n\nShort Description\n\n\n\nCybersecurity has become an essential competency for every university employee. Academic institutions process sensitive personal information\, valuable research data\, intellectual property\, financial records\, and critical digital infrastructure\, making them frequent targets of cyberattacks. \n\n\n\nThis course introduces participants to the fundamental principles of cybersecurity and develops practical competencies for recognizing cyber threats\, protecting institutional data\, and adopting secure digital practices. Special attention is given to cybersecurity challenges specific to higher education institutions\, including research security\, cloud services\, online teaching environments\, artificial intelligence tools\, and compliance with GDPR. \n\n\n\nThe programme emphasizes practical awareness rather than technical administration\, enabling participants to become active contributors to the university’s cybersecurity culture. \n\n\n\nContent\n\n\n\n\nIntroduction to Cybersecurity in Higher Education\n\n\n\nCommon Cyber Threats in Higher Education\n\n\n\nEmail Security and Phishing Protection\n\n\n\nIdentity Protection\, Passwords and Multi-Factor Authentication\n\n\n\nPersonal Data Protection (GDPR) and Information Classification\n\n\n\nSecure Use of University Information Systems\n\n\n\nSecure Documents\, Cloud Services and Remote Work\n\n\n\nMalware\, Ransomware and Device Protection\n\n\n\nArtificial Intelligence and Cybersecurity\n\n\n\nCyber Incident Response and Cyber Hygiene\n\n\n\nDeveloping a Workplace Cybersecurity Improvement Project\n\n\n\nIndividual Project Presentations\, Emerging Cybersecurity Challenges and Course Synthesis\n\n\n\n\nLearning Outcomes\n\n\n\nAfter completing the course\, students will be able to: \n\n\n\n\nRecognize common cyber threats in higher education\n\n\n\nSecurely use university information systems and cloud services\n\n\n\nProtect institutional\, research and personal data\n\n\n\nRecognize phishing and social engineering attacks\n\n\n\nApply secure practices when using AI tools\n\n\n\nRespond appropriately to cybersecurity incidents\n\n\n\nContribute to a cybersecurity-aware university culture.\n\n\n\n\nDuration\n\n\n\nTeaching hours: 30 hours \n\n\n\n\n30 synchronous hours\n\n\n\n21 asynchronous hours\n\n\n\n24 hours independent self-study\n\n\n\n\nAll Student workload: 75 hours \n\n\n\n\n5 hours of synchronous online sessions per week. \n\n\n\n7\,5 hours of guided self-study per week.\n\n\n\n\n \n\n\n\n\n22 September 2026: 17:00 – 19:15 or 18:00 – 20:15 (CEST) \n\n\n\n24 September 2026: 17:00 – 18:30 or 18:00 – 19:30 (CEST) \n\n\n\n29 September 2026: 17:00 – 19:15 or 18:00 – 20:15 (CEST) \n\n\n\n\n\n1st October 2026: 17:00 – 18:30 or 18:00 – 19:30 (CEST) \n\n\n\n6th October 2026: 17:00 – 19:15 or 18:00 – 20:15 (CEST) \n\n\n\n8th October 2026: 17:00 – 18:30 or 18:00 – 19:30 (CEST) \n\n\n\n13th October 2026: 17:00 – 19:15 or 18:00 – 20:15 (CEST) \n\n\n\n15th October 2026: 17:00 – 18:30 or 18:00 – 19:30 (CEST) \n\n\n\n20th October 2026: 17:00 – 19:15 or 18:00 – 20:15 (CEST) \n\n\n\n22nd October 2026: 17:00 – 18:30 or 18:00 – 19:30 (CEST) \n\n\n\n27th October 2026: 17:00 – 19:15 or 18:00 – 20:15 (CEST) \n\n\n\n29th October 2026: 17:00 – 18:30 or 18:00 – 19:30 (CEST) \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\nComplete asynchronous learning activities.\n\n\n\nSubmit module assignments.\n\n\n\nPrepare a Workplace Cybersecurity Improvement Project.\n\n\n\nDeliver an 8–10 minute project presentation.\n\n\n\n\nHow to Apply\n\n\n\nIf you are interested in this course\, register by clicking on the green bar (at the top and the botton of this page during the registration period).  \n\n\n\nYou will then be taken to the Boost platform to fill in your personal details and complete your pre-registration.  \n\n\n\nYou must use your institutional account from your home university to book this course\, If you do not have one\, you must request access credentials to this course Administrative Support team.  \n\n\n\nOnce you have them\, you will be able to log in to Boost and complete your registration.  \n\n\n\nFinally\, Administrative Support will confirm your registration and provide you with the login details for the online course through which you will be able to take this course. \n\n\n\nAdministrative Support: donika@au-plovdiv.bg \n\n\n\n\nMore Info and Registration
URL:https://unigreen-alliance.eu/event/cybersecurity-introduction-for-academic-and-non-academic-staff/
CATEGORIES:Training
ATTACH;FMTTYPE=image/jpeg:https://unigreen-alliance.eu/wp-content/uploads/2026/09/Banner_Sebersecurity.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Brussels:20260928T000000
DTEND;TZID=Europe/Brussels:20261109T235959
DTSTAMP:20260918T083039Z
CREATED:20260918T082056Z
LAST-MODIFIED:20260918T083039Z
UID:10000114-1790553600-1794268799@unigreen-alliance.eu
SUMMARY:Applied Data Analysis with Machine Learning and LLMs for 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\nTeaching hours: 27\n\n\n\nECTS: 3\n\n\n\n\nDeadline for admission is 16 September 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 gain a practical understanding of data analysis and Artificial Intelligence tools. It focuses on the use of tabular and textual data analysis techniques\, machine learning basics\, and Large Language Models to support everyday activities such as data processing\, information retrieval\, documentation\, and workflow automation. It also introduces the fundamentals of AI agents and their application to simple automated tasks. \n\n\n\nPre-requisites\n\n\n\n\nB2 or similar level of English is necessary.\n\n\n\nBasic knowledge of Python is required (e.g.\, understanding variables\, functions\, and basic scripting).\n\n\n\nBasic digital skills\, such as using documents and email\, are required.\n\n\n\nA Google account is required to access and run the practical activities on Google Colab notebooks.\n\n\n\n\n\n\n\n\n \n\n\n\nShort Description\n\n\n\nThis course provides a practical introduction to data analysis\, machine learning\, and Generative Artificial Intelligence\, with a particular focus on applications relevant to university technical and administrative staff. \n\n\n\nParticipants will learn how to acquire\, manipulate\, analyze\, and visualize tabular data using Python-based tools\, and how to develop machine learning workflows for classification\, regression\, and clustering tasks. The course will then introduce Large Language Models (LLMs) and Generative AI techniques for text analysis\, semantic search\, information extraction\, and workflow automation. \n\n\n\nThe course combines theoretical foundations with extensive hands-on activities based on Google Colab notebooks and real-world case studies. Particular attention will be devoted to practical problem solving\, enabling participants to apply AI and data-driven approaches to common institutional scenarios involving both structured and unstructured data. \n\n\n\nParticipants will: \n\n\n\n\nexplore AI agents and workflow automation solutions.\n\n\n\nlearn how to manipulate and transform tabular datasets using Pandas;\n\n\n\ncreate effective visualizations and perform exploratory data analysis;\n\n\n\nunderstand and apply machine learning techniques for classification\, regression\, and clustering;\n\n\n\ndevelop complete data analysis pipelines using Scikit-learn;\n\n\n\nunderstand the fundamental principles of Generative AI and Large Language Models;\n\n\n\napply semantic search\, text classification\, and information extraction techniques;\n\n\n\ndesign effective prompts for AI-assisted tasks;\n\n\n\nexplore AI agents and workflow automation solutions.\n\n\n\n\nContent\n\n\n\nModule 1 – Tabular Data Management with Pandas \n\n\n\n\nReading and writing data from different file formats;\n\n\n\nSeries and DataFrame structures;\n\n\n\nData selection\, indexing\, and filtering;\n\n\n\nData cleaning and transformation techniques;\n\n\n\nPractical exercises on real-world data manipulation tasks.\n\n\n\n\nModule 2 – Data Visualization \n\n\n\n\nPrinciples of data visualization;\n\n\n\nIntroduction to Matplotlib and Seaborn;\n\n\n\nCommon visualization techniques and plot types;\n\n\n\nUnivariate and multivariate data analysis;\n\n\n\nVisualization-driven exploratory data analysis.\n\n\n\n\nModule 3 – Machine Learning with Scikit-learn \n\n\n\n\nIntroduction to machine learning workflows;\n\n\n\nData preprocessing and feature transformations;\n\n\n\nScikit-learn estimators and pipelines;\n\n\n\nClassification methods and evaluation metrics;\n\n\n\nRegression methods and evaluation metrics;\n\n\n\nClustering techniques and dimensionality reduction (PCA);\n\n\n\nEnd-to-end machine learning pipelines.\n\n\n\n\nModule 4 – Text Analytics with Large Language Models \n\n\n\n\nIntroduction to Artificial Intelligence and Large Language Models;\n\n\n\nTransformer-based architectures;\n\n\n\nSemantic search and Retrieval-Augmented Generation concepts;\n\n\n\nText classification and clustering;\n\n\n\nPrompt engineering techniques;\n\n\n\nPractical applications on institutional documents and textual data.\n\n\n\n\nModule 5 – Agentic AI and Workflow Automation \n\n\n\n\nIntroduction to AI agents;\n\n\n\nTool integration and workflow orchestration;\n\n\n\nPractical examples of AI-assisted automation.\n\n\n\n\nLearning Outcomes\n\n\n\nAfter completing the course\, students will be able to: \n\n\n\n\nacquire\, manipulate\, and transform tabular datasets using Pandas;\n\n\n\nperform exploratory data analysis through appropriate visualizations;\n\n\n\ndevelop machine learning workflows for classification\, regression\, and clustering tasks;\n\n\n\nevaluate machine learning models using suitable performance metrics;\n\n\n\nbuild complete data processing and analysis pipelines using Scikit-learn;\n\n\n\nunderstand the fundamental principles of Generative AI and Large Language Models;\n\n\n\napply semantic search and text analytics techniques to institutional documents;\n\n\n\ndesign effective prompts for AI-assisted tasks;\n\n\n\nunderstand the principles of AI agents and workflow automation tools\n\n\n\n\nDuration\n\n\n\n\nSynchronous Activities (Lectures): 27 hours\n\n\n\nAsynchronous Activities (Exercises): 24 hours\n\n\n\nSelf-Learning: 24 hours\n\n\n\nTotal Student Workload: 75 hours\n\n\n\n\nSchedule: \n\n\n\n\nMonday\, September 28\, 2026 09:00-12:00\n\n\n\nThursday\, October 1\, 2026 09:00-11:00\n\n\n\nThursday\, October 8\, 2026 09:00-13:00\n\n\n\nMonday\, October 12\, 2026 09:00-12:00\n\n\n\nThursday\, October 15\, 2026 09:00-11:00\n\n\n\nMonday\, October 19\, 2026 09:00-12:00\n\n\n\nThursday\, October 22\, 2026 09:00-11:00\n\n\n\nMonday\, November 2\, 2026 09:00-12:00\n\n\n\nThursday\, November 5\, 2026 09:00-11:00\n\n\n\nMonday\, November 9\, 2026 09:00-12:00\n\n\n\n\nAssessment\n\n\n\nThe evaluation of the course is based on the completion of the practical assignments proposed during the course. \n\n\n\nParticipants are required to submit the assigned notebooks before the synchronous lecture in which the corresponding solutions will be discussed. Each notebook will be evaluated according to the completion of the assigned exercises and the correctness of the proposed solutions. \n\n\n\nThe course completion requirement is achieved by: \n\n\n\n\nattending at least 80% of the synchronous sessions.\n\n\n\nsubmitting all assigned notebooks;\n\n\n\nsuccessfully completing at least 70% of the proposed exercises across the practical activities.\n\n\n\n\nExercises will contribute equally to the final evaluation\, and partial completion of an exercise will be considered when assessing the overall completion level. The evaluation is intended to verify the participant’s ability to apply the concepts introduced during the course rather than to assess theoretical knowledge only. \n\n\n\nHow to Apply\n\n\n\nIf you are interested in this course\, register by clicking on the green bar (at the top and the botton of this page during the registration period).  \n\n\n\nYou will then be taken to the Boost platform to fill in your personal details and complete your pre-registration.  \n\n\n\nYou must use your institutional account from your home university to book this course\, If you do not have one\, you must request access credentials to this course Administrative Support team.  \n\n\n\nOnce you have them\, you will be able to log in to Boost and complete your registration.  \n\n\n\nFinally\, Administrative Support will confirm your registration and provide you with the login details for the online course through which you will be able to take this course. \n\n\n\nAdministrative Support: grighetti@unimore.it \n\n\n\n\nMore Info and Registration
URL:https://unigreen-alliance.eu/event/applied-data-analysis-with-machine-learning-and-llms-for-staff/
ATTACH;FMTTYPE=image/jpeg:https://unigreen-alliance.eu/wp-content/uploads/2026/09/Banner_data-analysis.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Brussels:20261019T080000
DTEND;TZID=Europe/Brussels:20261023T170000
DTSTAMP:20260918T083536Z
CREATED:20260918T082659Z
LAST-MODIFIED:20260918T083536Z
UID:10000115-1792396800-1792774800@unigreen-alliance.eu
SUMMARY:Clean Seas\, Living Futures: Student Intervention Camp
DESCRIPTION:Design a One-Week Student-Led Programme on Clean Seas and Coastal sustainability\n\n\n\n \n\n\n\n\nCourse format: Onsite\n\n\n\nType of program: Outreach programme\n\n\n\nTarget group: Students\n\n\n\nLanguage: English\n\n\n\nLocalisation: Cabo de Gata\, Almería Coast\n\n\n\nAvailable places: 20\n\n\n\n\nDeadline for admission is coming soon \n\n\n\nShort Description\n\n\n\nThe intervention camp should address the challenge of marine litter and its impacts on coastal and marine ecosystems\, while promoting environmental awareness\, citizen engagement\, and sustainable practices. \n\n\n\nThe programme should be primarily practical and applied in nature. It will combine learning\, teamwork\, volunteering\, some NGOs collaboration\, outdoor activities\, and creative workshops encouraging participants to learn through direct experience\, field activities\, and interaction with experts.  \n\n\n\nContent\n\n\n\n\nTypes and sources of marine litter.\n\n\n\nImpacts of plastic pollution on marine and coastal ecosystems.\n\n\n\nMarine and coastal biodiversity conservation\n\n\n\nSustainable management of coastal resources.\n\n\n\nCircular economy and waste reduction strategies.\n\n\n\nEnvironmental communication and awareness campaigns  \n\n\n\n\nHow to Apply\n\n\n\n\nREGISTRATION
URL:https://unigreen-alliance.eu/event/clean-seas-living-futures-student-intervention-camp/
CATEGORIES:Training
ATTACH;FMTTYPE=image/jpeg:https://unigreen-alliance.eu/wp-content/uploads/2026/09/Banner_clean_seas.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Brussels:20261026T080000
DTEND;TZID=Europe/Brussels:20261030T170000
DTSTAMP:20260928T132745Z
CREATED:20260724T112815Z
LAST-MODIFIED:20260928T132745Z
UID:10000107-1793001600-1793379600@unigreen-alliance.eu
SUMMARY:UNIgreen SURES Innovation Challenge Grand Final 2026
DESCRIPTION:Join the UNIgreen SURES Innovation Challenge Grand Final in Paris\n\n\n\nFollowing the local UNIgreen SURES Innovation Challenges organised across the Alliance\, the winning teams from each partner university are invited to compete in the UNIgreen SURES Innovation Challenge Grand Final\, hosted by SupBiotech in Villejuif (Paris\, France) from 26 to 30 October 2026. \n\n\n\nThe Grand Final brings together the most promising student innovators from across the UNIgreen Alliance for a week of inspiration\, collaboration and entrepreneurship. \n\n\n\nWhether you are pitching your project\, meeting fellow innovators or discovering the European innovation ecosystem\, this event is designed to help transform ideas into future solutions. \n\n\n\nWho can participate?\n\n\n\nParticipation is reserved for the winning teams selected during each local UNIgreen SURES Innovation Challenge. \n\n\n\nEach partner university is responsible for nominating and registering its finalist teams. \n\n\n\nThe winners are\nDiscover some of the winning teams from across the UNIgreen Alliance. More winners will be featured soon! \n\n\n\n\n\nInnovative nuzzle design for a sprayer \n\n\n\n\n\n\n\nDeveloped and presented by Aleksander Georgiev from Agricultural University – Plovdiv (Bulgaria) \n\n\n\n\n\nArcticBioLoop \n\n\n\n\n\n\n\nDeveloped and presented by Prince Addai and Salahuddin Noori from Agricultural University of Iceland (Iceland) \n\n\n\n\n\n\n\nGrænir Hagar \n\n\n\n\n\n\n\nDeveloped and presented by Heiðrún Hrund Sigurðardóttir\, Sigríður Ósk Jónsdóttir and Svala Valborg Fannarsdóttir from Agricultural University of Iceland (Iceland) \n\n\n\n\n\nRec3O2 \n\n\n\n\n\n\n\nPolytechnic University of Coimbra (Portugal) \n\n\n\n\n\n\nEvent highlights\n\n\n\nDuring the week\, participants will have the opportunity to: \n\n\n\n\nPresent their projects during the Innovation Challenge pitches.\n\n\n\nAttend inspirational conferences and round-table discussions with entrepreneurs and innovation experts.\n\n\n\nTake part in a Climate Fresk workshop.\n\n\n\nVisit Genopole\, one of Europe’s leading biotechnology innovation hubs.\n\n\n\nMeet students\, researchers and staff from across the UNIgreen Alliance.\n\n\n\nParticipate in networking and social activities throughout the event.\n\n\n\n\nProgramme\n\n\n\nMonday\, 26 October\nArrival & Registration \n\n\n\n\n\n14:00 – 15:30 \n\n\n\n\n\nIcebreaker and Networking GamesKick off the afternoon with an engaging student-led icebreaker session designed to help participants connect\, collaborate\, and build new friendships. Through a variety of interactive games and team activities\, students will have the opportunity to get to know one another in a fun and welcoming environment\, fostering a strong sense of community from the very start of the programme. \n\n\n\n\n\n\n\n16:00 – 17:30 \n\n\n\n\n\nInnovation Pitch Practice & Mock JuryPrepare for the Innovation Challenge by participating in dedicated pitch practice sessions. Students will have the opportunity to refine their ideas\, strengthen their presentation skills\, and receive valuable feedback from a practice jury. This session is designed to help participants improve their communication\, confidence\, and ability to effectively present innovative solutions to real-world challenges. \n\n\n\n\n\n\nTuesday\, 27 October\nClimate Fresk Workshop \n\n\n\n\n\n14:00 – 15:30 \n\n\n\n\n\nIcebreaker and Networking GamesKick off the afternoon with an engaging student-led icebreaker session designed to help participants connect\, collaborate\, and build new friendships. Through a variety of interactive games and team activities\, students will have the opportunity to get to know one another in a fun and welcoming environment\, fostering a strong sense of community from the very start of the programme. \n\n\n\n\n\n\nClimate change collaborative workshop\n\n\n\nSchool Outreach activities\n\n\n\n\n\nWednesday\, 28 October\nInnovation & Entrepreneurship \n\n\n\n\nInspirational Conference and Round Table\n\n\n\nInnovation Challenge Pitch Sessions\n\n\n\n\n\nThursday\, 29 October\nInnovation Ecosystem \n\n\n\n\nVisit to Genopole\n\n\n\nInnovation Challenge Pitch Sessions\n\n\n\nOfficial Dinner\n\n\n\n\n\nFriday\, 30 October\nClosing Day \n\n\n\n\nSURES Programme Reflection\n\n\n\nWrap-up session with students\, coordinators and Board of Directors\n\n\n\nDeparture\n\n\n\n\n\nRegistration\n\n\n\nRegistration is open only to the winning teams selected by each UNIgreen partner university. \n\n\n\n\nREGISTER HERE\n\n\n\n\nRegistrations close on 7 October 2026
URL:https://unigreen-alliance.eu/event/unigreen-sures-innovation-challenge-grand-final-2026/
CATEGORIES:Onsite
ATTACH;FMTTYPE=image/jpeg:https://unigreen-alliance.eu/wp-content/uploads/2026/07/Banner_UNIgreenSuresInnovationChallenge2.jpg
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DTSTART;TZID=Europe/Brussels:20261028T080000
DTEND;TZID=Europe/Brussels:20261030T140000
DTSTAMP:20260928T132145Z
CREATED:20260408T083107Z
LAST-MODIFIED:20260928T132145Z
UID:10000089-1793174400-1793368800@unigreen-alliance.eu
SUMMARY:JIC 2026 at SupBiotech Paris
DESCRIPTION:UNIgreen is proud to announce that the 4th Annual Joint International Centre meeting\, hosted by SupBiotech from 28–30 October 2026. \n\n\n\n The Joint International Centre (JIC) 2026 will bring together representatives from the UNIgreen Alliance\, including institutional leaders\, staff\, academics\, and students\, for three days of collaboration\, strategic discussions\, networking\, and community-building. Taking place at SupBiotech’s campus in Villejuif\, near Paris\, the event will foster cooperation across the alliance\, showcase ongoing initiatives\, and provide dedicated activities for student representatives through the UNIgreen Student Council programme. \n\n\n\n\n\n\n\nEvent Programme\n\n\n\nDay 1\n\n\n09:00 – 09:30  \n\n\n\n\n\nRegistration & Welcome CoffeeLocation: Entrance Hall – C Building \n\n\n\n\n\n\n\n9:30 – 11:00 \n\n\n\n\n\nGeneral Welcome – State of the Alliance and Innovation at our Core Comments from the UNIgreen General Coordinator: José Luis Ruiz Location: SupBiotech Amphitheater – C Building \n\n\n\n\n\n\n\n11:00 – 11:30   \n\n\n\n\n\nCoffee BreakLocation: Entrance Hall – C Building \n\n\n\n\n\n\n\n11:30 – 13:00  \n\n\n\n\n\n1st Round Parallel WP Sessions (All WPs) and Student Council MeetingLocation: C Building  \n\n\n\n\n\n\n\n13:00 – 14:00  \n\n\n\n\n\nLunch BreakLocation: Entrance Hall  & C04 – C Building \n\n\n\n\n\n\n\n14:00 – 15:30  \n\n\n\n\n\n2nd Round Parallel WP Sessions (All WPs) and Student Council MeetingLocation: C Building \n\n\n\n\n\n\n\n15:30 – 16:00 \n\n\n\n\n\nGroup Photo & Campus Tour (optional)Location: C Building \n\n\n\n\n\n\n\n16:00 – 17:00   \n\n\n\n\n\nImpact WorkshopImportance of Long-Term Impact for European University AlliancesLocation: SupBiotech Amphitheater – C Building \n\n\n\n\n\n\n\n17:30   \n\n\n\n\n\nWelcome Cocktail Location: Entrance Hall & C04 – C Building \n\n\n\n\n\n\nDay 2\n\n\n09:00 – 09:30  \n\n\n\n\n\nRegistration\, Welcome Coffee & Bilateral MeetingsLocation: Entrance Hall – C Building \n\n\n\n\n\n\n\n9:30 – 11:00 \n\n\n\n\n\nJoint Sessions I: all WPs\,  BoD & General Assembly\, Student Meetings\, Joint Educational Offer and Joint Mobility OfferLocation: C Building \n\n\n\n\n\n\n\n11:00 – 11:30   \n\n\n\n\n\n Coffee BreakLocation: Entrance Hall – C Building \n\n\n\n\n\n\n\n11:30 – 13:00  \n\n\n\n\n\nJoint Sessions II: all WPs\,  BoD & General Assembly\, Student Meetings |and Research\, Innovation & Entrepreneurship Location: C Building – SupBiotech Amphitheater \n\n\n\n\n\n\n\n13:00 – 14:00  \n\n\n\n\n\nLunch BreakLocation: Entrance Hall & C04A – C Building \n\n\n\n\n\n\n\n14:00 – 15:30  \n\n\n\n\n\nJoint Sessions III: all WPs\,  BoD & General Assembly\, Student Meetings and Quality & ImpactLocation: C Building – SupBiotech Amphitheater \n\n\n\n\n\n\n\n15:30 – 16:00 \n\n\n\n\n\nBreak and Quick MeetingsLocation: C Building \n\n\n\n\n\n\n\n16:00 – 17:00 \n\n\n\n\n\nCommunication WorkshopLocation: C Building – SupBiotech Amphitheater \n\n\n\n\n\n\n\n\n\n\n\nFinal Report (Management Panel)Location: C Building – C201 \n\n\n\n\n\n\n\n19:00  \n\n\n\n\n\nOfficial Dinner in ParisLocation: Bateaux à Roue\, Port de Javel Haut\, 75015 Paris \n\n\n\n\n\n\nDay 3\n\n\n09:00 – 09:30  \n\n\n\n\n\nRegistration and Welcome CoffeeLocation: Entrance Hall – C Building \n\n\n\n\n\n\n\n9:30 – 11:00 \n\n\n\n\n\nUMP\, BoD\, all WPs and Student MeetingsLocation: C Building \n\n\n\n\n\n\n\n11:00 – 11:30   \n\n\n\n\n\nCoffee BreakLocation: Entrance Hall & C04A – C Building \n\n\n\n\n\n\n\n11:30 – 13:00  \n\n\n\n\n\nJIC Wrap Up & Conclusions: Insights from Students\, Coordination & BoDUNIgreen Innovation Challenge Conclusions Location: SupBiotech Amphitheater – C Building \n\n\n\n\n\n\n\n13:00 – 14:00  \n\n\n\n\n\nDeparture \n\n\n\n\n\n \n\n\n\n\nRegistration\n\n\n\nMore information can be find on the dedicated JIC website via the link below: \n\n\n\n\n\nDeadline: 18 September 2026
URL:https://unigreen-alliance.eu/event/jic-2026-at-supbiotech-paris/
LOCATION:SupBiotech\, Engineering School of Biotechnology\, 66\, rue Guy Môquet\, Villejuif\, 94800\, France
CATEGORIES:Alliance Meeting,Onsite,Training
ATTACH;FMTTYPE=image/png:https://unigreen-alliance.eu/wp-content/uploads/2026/04/banner_JIC_2026.png
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