BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:Asia/Bangkok BEGIN:DAYLIGHT DTSTART:20380119T101407 TZOFFSETFROM:+0700 TZOFFSETTO:+0700 RRULE:FREQ=YEARLY;BYDAY=3TU;BYMONTH=1 TZNAME:+07 END:DAYLIGHT BEGIN:STANDARD DTSTART:19200401T001756 TZOFFSETFROM:+0642 TZOFFSETTO:+0700 RRULE:FREQ=YEARLY;BYDAY=1TH;BYMONTH=4 TZNAME:+07 END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20251129T190400Z UID:6084C5C7-4670-4E31-8487-625EA6A80A61 DTSTART;TZID=Asia/Bangkok:20251124T080000 DTEND;TZID=Asia/Bangkok:20251126T190000 DESCRIPTION:AI-Enhanced DAO Security\n\nhttps://hakiri.github.io/AIDAOS25/\ n\nco-located with MEDES 2025 in Ho chi minh\, Vietnam\, 24-26 November 20 25\n\n- The rise of Decentralized Autonomous Organizations (DAOs) has revo lutionized the way digital communities and organizations collaborate\, all ocate resources\, and make decisions. Built on blockchain technology and p owered by smart contracts\, DAOs promise transparency\, decentralization\, and automation. However\, this promise comes with significant security ch allenges stemming from complex governance systems\, smart contract vulnera bilities\, and token economy manipulations\, as seen in high-profile incid ents like the 2016 DAO hack.\n\n- This workshop will explore how AI techno logies and model-driven design methodologies can be leveraged to address t hese challenges. AI techniques such as machine learning\, natural language processing (NLP)\, and reinforcement learning offer proactive solutions f or real-time anomaly detection\, predictive risk management\, and adaptive governance. These tools can identify governance vulnerabilities\, detect unusual token flow patterns\, and optimize tokenomics to improve stakehold er engagement while preventing centralization. Through practical case stud ies\, participants will see how AI-driven methods enhance DAO resilience\, monitor system behavior\, and help mitigate governance failures.\n\n- Add itionally\, model-driven design principles provide a structured approach t o reducing vulnerabilities in DAO development. By systematically modeling governance and organizational structures\, DAOs can achieve higher securit y and scalability\, ensuring that the design process aligns with best prac tices and reduces the risk of coding errors. The workshop will also addres s the ethical integration of AI to maintain user privacy\, ensure fairness \, and uphold the core principles of decentralization. Participants will g ain actionable insights into how combining AI\, model-driven design\, and decentralized technologies can lead to the development of secure\, transpa rent\, and adaptive DAOs\, paving the way for more robust decentralized ec osystems.\n\nworkshop Topics\nSecurity & Smart Contracts - Formal verifica tion and smart contract security - Threat detection in DAOs using AI - Att ack prevention and mitigation in decentralized governance AI for DAO Opti mization & Governance:> - AI-driven governance models and voting mechanism s - Machine learning for fraud detection in DAOs - NLP for proposal analys is and decision-making Model-Driven Approaches for DAO Security: - Model-d riven design for secure DAO development - Structured DAO design methodolog ies - Enhancing scalability and resilience in DAOs - Token economy modelin g and risk assessment Ethical & Regulatory Considerations: - AI bias in d ecentralized decision-making - Privacy-preserving AI techniques for DAOs - Legal implications and compliance in AI-enhanced DAOs\n\nImportant Dates: \n\n- - Submission deadline: August 20\, 2025\n- - Acceptance notification : September 05\, 2025\n- - Camera-ready papers : September 25\, 2025\n- - Workshop Date: November 24\, 2025\n\nGuidelines for Manuscripts\n\n- Submi ssions must be in an electronic form as PDF format and should be uploaded using the conference website. The submitted paper should be at most 8-12 p rinted pages . Papers that fail to comply with length limit will be reject ed. Submissions will be peer-reviewed by at least 3 peer reviewers. After the preliminary notification date\, authors rebut by evidence and argument s all reviewer inquiries and their comments. Based on the rebuttal feedbac k\, reviewers notify authors with the final decision. Selection criteria w ill include: relevance\, significance\, impact\, originality\, technical s oundness\, and quality of presentation. Preference will be given to submis sions that take strong or challenging positions on important emergent topi cs related to Digital Ecosystems. At least one author should attend the co nference to present the paper.\n- - Publication: The conference Proceeding s will be published and indexed by the [Communications in Computer and Inf ormation Science (Springer CCIS)](http://www.springer.com/series/7899) .\n - - Submission: All paper submissions for MEDES-2025 will be via [Easychai r](https://easychair.org/my/conference?conf=aidaos25) .\n\nOrganizers\n\n- - Alex Norta\, PhD. Tallinn University\, Estonia / Dymaxion OÜ\, Estonia / University of Pretoria\, South Africa\n- - Akram Hakiri\, PhD. Associ ate Professor of Computer Science. University of Pau & Pays de l'Adour\, F rance.\n- - Anne Laurent\, PhD. Professor of Computer Science. University of Montpellier\, LIRMM\n\nTechnical Program Committee\n- Sellami Bassem\, Université de Perpignan Via Domitia\, France - Nedra Mellouli\, Pole Uni versitaire Léonardo De Vinci\, Research Center\, La Defense\, Paris\, Fra nce - Hella Kaffel Ben AyedUniversity of Tunis El Manar\, Tunisia - Amel M ammar\, Université de Versailles\, France - Sadok Ben Yahia\, University of Southern Denmark\, Denmark - Claudio Schifanella\, University of Turin\ , Italy - Tiziana Margaria\, Lero\, Ireland - Guido Boella\, Università d i Torino\, Italy - Dirk Draheim\, Software Competence Center Hagenberg. Fr eistadt\, Austria - Davor Svetinovic\, Khalifa University of Science and T echnology\, UAE - Adedoyin Hussain\, Near East University\, Nicosia\, Nort h Cyprus\, via Mersin 10\, Cyprus - Pradipkumar Sharma\, University of Abe rdeen\, UK - Diogo Mattos\, Universidade Federal Fluminense\, Brazil - Wol fgang Arendt\, Chalmers University of Technology\, Germany - Ibrahim Javed \, The University of British Columbia\, Canada\nWe acknowledge support fro m the following.\n\nhttps://blockchain.ieee.org/\n\nCo-sponsored by: MEDES '2025 conference\n\nHo chi minh\, An Giang\, Vietnam LOCATION:Ho chi minh\, An Giang\, Vietnam ORGANIZER:alex.norta.phd@ieee.org SEQUENCE:16 SUMMARY:Workshop: AI-Enhanced DAO Security (AIDAOS'25) URL;VALUE=URI:https://events.vtools.ieee.org/m/479718 X-ALT-DESC:Description: <br /><h3>AI-Enhanced DAO Security</h3>\n<p>https:/ /hakiri.github.io/AIDAOS25/</p>\n<h5>co-located with MEDES 2025 in Ho chi minh\, Vietnam\, 24-26 November 2025</h5>\n<p>&nbsp\;</p>\n<ul>\n<li>The r ise of Decentralized Autonomous Organizations (DAOs) has revolutionized th e way digital communities and organizations collaborate\, allocate resourc es\, and make decisions. Built on blockchain technology and powered by sma rt contracts\, DAOs promise transparency\, decentralization\, and automati on. However\, this promise comes with significant security challenges stem ming from complex governance systems\, smart contract vulnerabilities\, an d token economy manipulations\, as seen in high-profile incidents like the 2016 DAO hack.</li>\n</ul>\n<p>&nbsp\;</p>\n<p>&nbsp\;</p>\n<ul>\n<li>Thi s workshop will explore how AI technologies and model-driven design method ologies can be leveraged to address these challenges. AI techniques such a s machine learning\, natural language processing (NLP)\, and reinforcement learning offer proactive solutions for real-time anomaly detection\, pred ictive risk management\, and adaptive governance. These tools can identify governance vulnerabilities\, detect unusual token flow patterns\, and opt imize tokenomics to improve stakeholder engagement while preventing centra lization. Through practical case studies\, participants will see how AI-dr iven methods enhance DAO resilience\, monitor system behavior\, and help m itigate governance failures.</li>\n</ul>\n<p>&nbsp\;</p>\n<p>&nbsp\;</p>\n <ul>\n<li>Additionally\, model-driven design principles provide a structur ed approach to reducing vulnerabilities in DAO development. By systematica lly modeling governance and organizational structures\, DAOs can achieve h igher security and scalability\, ensuring that the design process aligns w ith best practices and reduces the risk of coding errors. The workshop wil l also address the ethical integration of AI to maintain user privacy\, en sure fairness\, and uphold the core principles of decentralization. Partic ipants will gain actionable insights into how combining AI\, model-driven design\, and decentralized technologies can lead to the development of sec ure\, transparent\, and adaptive DAOs\, paving the way for more robust dec entralized ecosystems.</li>\n</ul>\n<p>&nbsp\;</p>\n<p>&nbsp\;</p>\n<h3>wo rkshop Topics</h3>\n<dl>\n<dt><strong>Security &amp\; Smart Contracts</str ong></dt>\n<dd>- Formal verification and smart contract security</dd>\n<dt >- Threat detection in DAOs using AI</dt>\n<dd>- Attack prevention and mit igation in decentralized governance</dd>\n<dt><strong> AI for DAO Optimiza tion &amp\; Governance:</strong>&gt\;</dt>\n<dd>- AI-driven governance mod els and voting mechanisms</dd>\n<dd>- Machine learning for fraud detection in DAOs</dd>\n<dd>- NLP for proposal analysis and decision-making</dd>\n< dt><strong>Model-Driven Approaches for DAO Security:</strong></dt>\n<dd>- Model-driven design for secure DAO development</dd>\n<dd>- Structured DAO design methodologies</dd>\n<dd>- Enhancing scalability and resilience in D AOs</dd>\n<dd>- Token economy modeling and risk assessment</dd>\n<dt><stro ng> Ethical &amp\; Regulatory Considerations:</strong></dt>\n<dd>- AI bias in decentralized decision-making</dd>\n<dd>- Privacy-preserving AI techni ques for DAOs</dd>\n<dd>- Legal implications and compliance in AI-enhanced DAOs</dd>\n</dl>\n<p>&nbsp\;</p>\n<h3>Important Dates:</h3>\n<ul>\n<li>- Submission deadline: August 20\, 2025</li>\n<li>- Acceptance notification: September 05\, 2025</li>\n<li>- Camera-ready papers : September 25\, 2025 </li>\n<li>- Workshop Date: November 24\, 2025</li>\n</ul>\n<h3>Guidelines for Manuscripts</h3>\n<ul>\n<li>Submissions must be in an electronic form as PDF format and should be uploaded using the conference website. The su bmitted paper should be at most <strong>8-12 printed pages</strong> . Pape rs that fail to comply with length limit will be rejected. Submissions wil l be peer-reviewed by at least 3 peer reviewers. After the preliminary not ification date\, authors rebut by evidence and arguments all reviewer inqu iries and their comments. Based on the rebuttal feedback\, reviewers notif y authors with the final decision. Selection criteria will include: releva nce\, significance\, impact\, originality\, technical soundness\, and qual ity of presentation. Preference will be given to submissions that take str ong or challenging positions on important emergent topics related to Digit al Ecosystems. At least one author should attend the conference to present the paper.</li>\n<li>- Publication: The conference Proceedings will be pu blished and indexed by the <a href="http://www.springer.com/series/7899" t arget="_blank" rel="noopener">Communications in Computer and Information S cience (Springer CCIS) </a> .</li>\n<li>- Submission: All paper submission s for MEDES-2025 will be via <a href="https://easychair.org/my/conference? conf=aidaos25" target="_blank" rel="noopener">Easychair</a> .</li>\n</ul>\ n<h3>Organizers</h3>\n<p>&nbsp\;</p>\n<ul>\n<li><strong>- Alex Norta\, PhD .</strong> Tallinn University\, Estonia / Dymaxion O&Uuml\;\, Estonia / Un iversity of Pretoria\, South Africa</li>\n<li><strong> - Akram Hakiri\, Ph D. </strong> Associate Professor of Computer Science. University of Pau &a mp\; Pays de l'Adour\, France.</li>\n<li><strong>- Anne Laurent\, PhD. </s trong> Professor of Computer Science. University of Montpellier\, LIRMM</l i>\n</ul>\n<p>&nbsp\;</p>\n<h3>Technical Program Committee</h3>\n<dl>\n<dt >- Sellami Bassem\, Universit&eacute\; de Perpignan Via Domitia\, France</ dt>\n<dt>- Nedra Mellouli\, Pole Universitaire L&eacute\;onardo De Vinci\, Research Center\, La Defense\, Paris\, France</dt>\n<dt>- Hella Kaffel Be n AyedUniversity of Tunis El Manar\, Tunisia</dt>\n<dt>- Amel Mammar\, Uni versit&eacute\; de Versailles\, France</dt>\n<dt>- Sadok Ben Yahia\, Unive rsity of Southern Denmark\, Denmark</dt>\n<dt>- Claudio Schifanella\, Univ ersity of Turin\, Italy</dt>\n<dt>- Tiziana Margaria\, Lero\, Ireland</dt> \n<dt>- Guido Boella\, Universit&agrave\; di Torino\, Italy</dt>\n<dt>- Di rk Draheim\, Software Competence Center Hagenberg. Freistadt\, Austria</dt >\n<dt>- Davor Svetinovic\, Khalifa University of Science and Technology\, UAE</dt>\n<dt>- Adedoyin Hussain\, Near East University\, Nicosia\, North Cyprus\, via Mersin 10\, Cyprus</dt>\n<dt>- Pradipkumar Sharma\, Universi ty of Aberdeen\, UK</dt>\n<dt>- Diogo Mattos\, Universidade Federal Flumin ense\, Brazil</dt>\n<dt>- Wolfgang Arendt\, Chalmers University of Technol ogy\, Germany</dt>\n<dt>- Ibrahim Javed\, The University of British Columb ia\, Canada</dt>\n</dl>\n<p>We acknowledge support from the following.</p> \n<table border="0" cellspacing="0" cellpadding="0" align="center">\n<tbod y>\n<tr>\n<td><a href="https://blockchain.ieee.org/" target="_blank" rel=" noopener"><img src="https://hakiri.github.io/AIDAOS25/assets/ieee-blockcha in_logo.png" width="300" border="0"></a></td>\n</tr>\n</tbody>\n</table> END:VEVENT END:VCALENDAR