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X-ORIGINAL-URL:https://vieux.ivado.ca/en/
X-WR-CALDESC:Events for IVADO
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TZID:America/Toronto
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DTSTART:20200308T070000
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DTSTART:20201101T060000
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BEGIN:VEVENT
DTSTART;VALUE=DATE:20200415
DTEND;VALUE=DATE:20200716
DTSTAMP:20260410T110011
CREATED:20200708T143902Z
LAST-MODIFIED:20200708T143902Z
UID:21967-1586908800-1594857599@vieux.ivado.ca
SUMMARY:Carrefour de philanthropie des données – Appel à projets
DESCRIPTION:[vc_row][vc_column][vc_column_text]Le Carrefour de philanthropie des données est une initiative d‘IVADO qui a vu le jour en 2017 et qui vise à mettre en relation les organismes à but non lucratif (OBNL)\, les universités et les entreprises dans une optique de formation et de transfert de connaissances dans le domaine de l’intelligence numérique. \nCette initiative\, menée par Renaud Legoux et Marc Fredette\, professeurs à HEC Montréal et codirecteurs du Carrefour\, a un triple objectif : \n\nPermettre à des étudiants en intelligence d’affaires d’acquérir des connaissances dans le domaine de la consultation.\nAider des OBNL à résoudre des problématiques particulières liées à la science des données.\nOffrir à des représentants de l’industrie la possibilité de partager leurs connaissances et expertises à titre de mentors.\n\nComme lors des trois éditions précédentes\, quatre équipes de quatre étudiants à la maîtrise en intelligence d’affaires de HEC Montréal répondront à des mandats de consultation à partir de la fin du mois de septembre 2020. Ces mandats seront présentés lors du Carrefour de philanthropie les 11 et 12 novembre prochains.[/vc_column_text][/vc_column][/vc_row][vc_row][vc_column][vc_column_text][/vc_column_text][/vc_column][/vc_row][vc_row][vc_column][vc_column_text] \nLancement des activités par webdiffusion et appel à projets aux OBNL – 26 mai 2020\nCette année\, en partenariat avec Synapse C\, le scientifique en chef et les Fonds de recherche du Québec\, nous voudrions impliquer nos étudiants dans des mandats sous la thématique de l’inclusion sociale. Les organismes sans but lucratif doivent de plus en plus développer une expertise en intelligence numérique et nous pensons que le Carrefour a le potentiel d’apporter des solutions novatrices ancrées dans le traitement de données empiriques. \nCette activité de bénévolat de compétences est offerte GRATUITEMENT aux OBNL participantes. Nous demandons donc votre participation afin que l’on puisse identifier des projets d’analyse de vos données liées à des activités philanthropiques. Pour répondre à cet appel de candidature\, vous devez décrire\, en moins d’une page\, un enjeu lié à l’inclusion sociale dans votre organisation. Veuillez aussi indiquer les bases de données qui sont disponibles pour répondre au mandat (nombre de cas et variables disponibles).[/vc_column_text][/vc_column][/vc_row][vc_row][vc_column width=”2/3″][vc_column_text]Une activité de lancement est prévue le 26 mai 2020 en webdiffusion afin de présenter le Carrefour\, cet appel à projets et les activités de SYlabC (Laboratoire en philanthropie des données de Synapse C).[/vc_column_text][/vc_column][vc_column width=”1/3″]Inscription[/vc_column][/vc_row][vc_row][vc_column][vc_column_text]La date limite pour un dépôt est le 15 juillet prochain.  Veuillez acheminer votre candidature à info@ivado.ca. \nConditions d’admission : \n\nLes données doivent déjà être en format électronique.\nLes données doivent avoir déjà été explorées et mobilisées en vue de prendre des décisions de gestion (par ex. pour une segmentation ou un ciblage spécifique).\n\nLes projets qui n’auront pas été retenus seront référés au SYlabC. Le concept du SylabC est de mobiliser le bénévolat de compétence comme une caisse de résonance pour des enjeux spécifiques. De petites cellules seront composées afin de répondre à des enjeux liés à l’exploitation de données par des OBNL dans le secteur culturel et de la philanthropie. Le SYlabC servira à faire rayonner leur expertise de pointe. \nPour toute information supplémentaire ou pour confirmer votre participation : info@ivado.ca.[/vc_column_text][/vc_column][/vc_row]
URL:https://vieux.ivado.ca/en/events/carrefour-de-philanthropie-des-donnees-appel-a-projets/
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20200604T100000
DTEND;TZID=America/Toronto:20200604T120000
DTSTAMP:20260410T110011
CREATED:20200520T193429Z
LAST-MODIFIED:20200522T144443Z
UID:21517-1591264800-1591272000@vieux.ivado.ca
SUMMARY:Formation IVADO
DESCRIPTION:Contexte\nAfin de faciliter le rayonnement de la recherche étudiante en intelligence numérique et en marge de la première édition de notre programme Mon projet de recherche en 800 mots\, cette formation explorera les bonnes pratiques et les questions principales à se poser pour bien vulgariser vos projets de recherche. Cette formation se penchera principalement sur la vulgarisation à l’écrit\, mais explorera également les distinctions et les défis associés aux différentes plateformes médiatiques (magazine\, radio\, télévision\, etc.). \nObjectifs\n\nAcquérir des bases afin d’être en mesure de bien vulgariser vos projets de recherche en intelligence numérique.\nComprendre la structure et les éléments importants d’un texte classique de vulgarisation scientifique\nDécouvrir les principales questions à se poser pour bien choisir et définir son sujet\, son titre\, son angle et son public cible\nComprendre les particularités des différentes plateformes de diffusion d’information et la réalité des journalistes et des communicateurs scientifiques professionnels\nExplorer des outils pratiques afin d’améliorer l’impact de la vulgarisation de son projet de recherche\nDécouvrir les différentes plateformes et occasions de vulgarisation de son projet de recherche au quotidien.\n\nPublic cible\nÉtudiantes et étudiants de tous horizons et de tous les cycles d’études intéressé·e·s ou travaillant sur des thématiques liées à sciences des données et/ou à l’intelligence numérique. \nLangue\nFormation en français avec diapositives en anglais et période de questions bilingue. \nOrganisateur\nAlexandre Guertin-Pasquier\, coordonnateur activités étudiantes et scientifiques (IVADO) \nAnimateurs\nDamien Grapton\, Journaliste\, Société Radio-Canada \nAlexandre Guertin-Pasquier\, coordonnateur activités étudiantes et scientifiques (IVADO) \nCliquez ici pour plus d’information
URL:https://vieux.ivado.ca/en/events/webinaire-formation-vulgarisation-scientifique-et-intelligence-numerique/
ATTACH;FMTTYPE=image/jpeg:https://vieux.ivado.ca/wp-content/uploads/2020/05/IVADO_Vulgarisation-scientifique_646X220_LinkedIn.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20200616T133000
DTEND;TZID=America/Toronto:20200616T143000
DTSTAMP:20260410T110011
CREATED:20200603T161943Z
LAST-MODIFIED:20200617T192126Z
UID:21701-1592314200-1592317800@vieux.ivado.ca
SUMMARY:Webinaire - Collaborative logistics in practice: challenges and opportunities
DESCRIPTION:How to achieve better cost savings and environmental impact with your logistics ? Horizontal collaboration is recognized as an innovative and efficient solution to tackle these challenges. \nCome discover or learn more about it with Prof. Mikael Rönnqvist from Université Laval on June 16th at 13h30 ! \nThis webinar will be held in English.[vc_row][vc_column][vc_video link=”https://youtu.be/KqMZX3IwtbI”][/vc_column][/vc_row]
URL:https://vieux.ivado.ca/en/events/webinaire-collaborative-logistics-in-practice-challenges-and-opportunities/
ATTACH;FMTTYPE=image/jpeg:https://vieux.ivado.ca/wp-content/uploads/2020/06/IVADO_webinaires_16-juin2020_600X300_eventbrite_v1-01.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20200617T120000
DTEND;TZID=America/Toronto:20200617T130000
DTSTAMP:20260410T110011
CREATED:20200615T190022Z
LAST-MODIFIED:20200616T131014Z
UID:21729-1592395200-1592398800@vieux.ivado.ca
SUMMARY:DevOps for Machine Learning and other Half-Truths: Processes and Tools for the ML Lifecycle
DESCRIPTION:The 3rd International Symposium on Software Engineering for Machine Learning Applications (SEMLA) is here! \nGiven the current pandemic situation\, SEMLA 2020 will be held in the form of free webinars this year. \n\nSEMLA aims at bringing together leading researchers and practitioners in software engineering and machine learning to reflect on and discuss the challenges and implications of engineering complex data-intensive software systems. IVADO is very proud to support this important event. \nWhile everyone agrees that the development of new machine learning algorithms will enhance the potential of data analytics\, only their implementation in real-world systems will allow them to realize their full potential. From an engineering perspective\, once an algorithm is implemented\, it requires a solid architecture\, model/data validation\, proper monitoring for changes\, dedicated release engineering strategies\, judicious adoption of design patterns and security checks\, and thorough user experience evaluation and adjustment. All these activities require a combined knowledge in software engineering\, data science\, and machine learning. \nHence\, SEMLA invites all practitioners and researchers to get to know the results and opinions of world leaders in both machine learning and software engineering and to discuss their views on the above problems. \nUpcoming webinars\n▶️ June 17: Diego Oppenheimer\, Algorithmia \nDevOps for Machine Learning and other Half-Truths: Processes and Tools for the ML Lifecycle\n▶️ June 18: Christian Kästner\, Carnegie Mellon School of Computer Science\nEngineering AI-Enabled Systems with Interdisciplinary Teams\n▶️ June 22: Samuel Deng et Achille C. Varzi\, Columbia University \nMethodological Blind Spots in Machine Learning Fairness: Lessons from the Philosophy of Science and Computer Science\n▶️ June 23: Grady Booch\, IBM Research\nSoftware Methodology and Lifecycle In AI\n▶️ June 30: Mark Harman\, Facebook \nA Hidden\, Bot-only Platform to Learn About Trolls and Scammers (tentative title) \nLearn more about our guest speakers >>
URL:https://vieux.ivado.ca/en/events/devops-for-machine-learning-and-other-half-truths-processes-and-tools-for-the-ml-lifecycle/
ATTACH;FMTTYPE=image/jpeg:https://vieux.ivado.ca/wp-content/uploads/2020/06/IVADO_SEMLA_v4__1200x630_facebook.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20200618T120000
DTEND;TZID=America/Toronto:20200618T130000
DTSTAMP:20260410T110011
CREATED:20200615T190235Z
LAST-MODIFIED:20200616T131413Z
UID:21732-1592481600-1592485200@vieux.ivado.ca
SUMMARY:Engineering AI-Enabled Systems with Interdisciplinary Teams
DESCRIPTION:The 3rd International Symposium on Software Engineering for Machine Learning Applications (SEMLA) is here! \nGiven the current pandemic situation\, SEMLA 2020 will be held in the form of free webinars this year. \n\nSEMLA aims at bringing together leading researchers and practitioners in software engineering and machine learning to reflect on and discuss the challenges and implications of engineering complex data-intensive software systems. IVADO is very proud to support this important event. \nWhile everyone agrees that the development of new machine learning algorithms will enhance the potential of data analytics\, only their implementation in real-world systems will allow them to realize their full potential. From an engineering perspective\, once an algorithm is implemented\, it requires a solid architecture\, model/data validation\, proper monitoring for changes\, dedicated release engineering strategies\, judicious adoption of design patterns and security checks\, and thorough user experience evaluation and adjustment. All these activities require a combined knowledge in software engineering\, data science\, and machine learning. \nHence\, SEMLA invites all practitioners and researchers to get to know the results and opinions of world leaders in both machine learning and software engineering and to discuss their views on the above problems. \nUpcoming webinars\n▶️ June 17: Diego Oppenheimer\, Algorithmia \nDevOps for Machine Learning and other Half-Truths: Processes and Tools for the ML Lifecycle\n▶️ June 18: Christian Kästner\, Carnegie Mellon School of Computer Science\nEngineering AI-Enabled Systems with Interdisciplinary Teams\n▶️ June 22: Samuel Deng et Achille C. Varzi\, Columbia University \nMethodological Blind Spots in Machine Learning Fairness: Lessons from the Philosophy of Science and Computer Science\n▶️ June 23: Grady Booch\, IBM Research\nSoftware Methodology and Lifecycle In AI\n▶️ June 30: Mark Harman\, Facebook \nA Hidden\, Bot-only Platform to Learn About Trolls and Scammers (tentative title) \nLearn more about our guest speakers >>
URL:https://vieux.ivado.ca/en/events/engineering-ai-enabled-systems-with-interdisciplinary-teams/
ATTACH;FMTTYPE=image/jpeg:https://vieux.ivado.ca/wp-content/uploads/2020/06/IVADO_SEMLA_v4__1200x630_facebook.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20200622T120000
DTEND;TZID=America/Toronto:20200622T130000
DTSTAMP:20260410T110011
CREATED:20200615T190417Z
LAST-MODIFIED:20200616T131458Z
UID:21739-1592827200-1592830800@vieux.ivado.ca
SUMMARY:Methodological Blind Spots in Machine Learning Fairness: Lessons from the Philosophy of Science and Computer Science
DESCRIPTION:The 3rd International Symposium on Software Engineering for Machine Learning Applications (SEMLA) is here! \nGiven the current pandemic situation\, SEMLA 2020 will be held in the form of free webinars this year. \n\nSEMLA aims at bringing together leading researchers and practitioners in software engineering and machine learning to reflect on and discuss the challenges and implications of engineering complex data-intensive software systems. IVADO is very proud to support this important event. \nWhile everyone agrees that the development of new machine learning algorithms will enhance the potential of data analytics\, only their implementation in real-world systems will allow them to realize their full potential. From an engineering perspective\, once an algorithm is implemented\, it requires a solid architecture\, model/data validation\, proper monitoring for changes\, dedicated release engineering strategies\, judicious adoption of design patterns and security checks\, and thorough user experience evaluation and adjustment. All these activities require a combined knowledge in software engineering\, data science\, and machine learning. \nHence\, SEMLA invites all practitioners and researchers to get to know the results and opinions of world leaders in both machine learning and software engineering and to discuss their views on the above problems. \nUpcoming webinars\n▶️ June 17: Diego Oppenheimer\, Algorithmia \nDevOps for Machine Learning and other Half-Truths: Processes and Tools for the ML Lifecycle\n▶️ June 18: Christian Kästner\, Carnegie Mellon School of Computer Science\nEngineering AI-Enabled Systems with Interdisciplinary Teams\n▶️ June 22: Samuel Deng et Achille C. Varzi\, Columbia University \nMethodological Blind Spots in Machine Learning Fairness: Lessons from the Philosophy of Science and Computer Science\n▶️ June 23: Grady Booch\, IBM Research\nSoftware Methodology and Lifecycle In AI\n▶️ June 30: Mark Harman\, Facebook \nA Hidden\, Bot-only Platform to Learn About Trolls and Scammers (tentative title) \nLearn more about our guest speakers >>
URL:https://vieux.ivado.ca/en/events/methodological-blind-spots-in-machine-learning-fairness-lessons-from-the-philosophy-of-science-and-computer-science/
ATTACH;FMTTYPE=image/jpeg:https://vieux.ivado.ca/wp-content/uploads/2020/06/IVADO_SEMLA_v4__1200x630_facebook.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20200623T120000
DTEND;TZID=America/Toronto:20200623T130000
DTSTAMP:20260410T110011
CREATED:20200615T190610Z
LAST-MODIFIED:20200616T131600Z
UID:21740-1592913600-1592917200@vieux.ivado.ca
SUMMARY:Software Methodology and Lifecycle In AI
DESCRIPTION:The 3rd International Symposium on Software Engineering for Machine Learning Applications (SEMLA) is here! \nGiven the current pandemic situation\, SEMLA 2020 will be held in the form of free webinars this year. \n\nSEMLA aims at bringing together leading researchers and practitioners in software engineering and machine learning to reflect on and discuss the challenges and implications of engineering complex data-intensive software systems. IVADO is very proud to support this important event. \nWhile everyone agrees that the development of new machine learning algorithms will enhance the potential of data analytics\, only their implementation in real-world systems will allow them to realize their full potential. From an engineering perspective\, once an algorithm is implemented\, it requires a solid architecture\, model/data validation\, proper monitoring for changes\, dedicated release engineering strategies\, judicious adoption of design patterns and security checks\, and thorough user experience evaluation and adjustment. All these activities require a combined knowledge in software engineering\, data science\, and machine learning. \nHence\, SEMLA invites all practitioners and researchers to get to know the results and opinions of world leaders in both machine learning and software engineering and to discuss their views on the above problems. \nUpcoming webinars\n▶️ June 17: Diego Oppenheimer\, Algorithmia \nDevOps for Machine Learning and other Half-Truths: Processes and Tools for the ML Lifecycle\n▶️ June 18: Christian Kästner\, Carnegie Mellon School of Computer Science\nEngineering AI-Enabled Systems with Interdisciplinary Teams\n▶️ June 22: Samuel Deng et Achille C. Varzi\, Columbia University \nMethodological Blind Spots in Machine Learning Fairness: Lessons from the Philosophy of Science and Computer Science\n▶️ June 23: Grady Booch\, IBM Research\nSoftware Methodology and Lifecycle In AI\n▶️ June 30: Mark Harman\, Facebook \nA Hidden\, Bot-only Platform to Learn About Trolls and Scammers (tentative title) \nLearn more about our guest speakers >>
URL:https://vieux.ivado.ca/en/events/software-methodology-and-lifecycle-in-ai/
ATTACH;FMTTYPE=image/jpeg:https://vieux.ivado.ca/wp-content/uploads/2020/06/IVADO_SEMLA_v4__1200x630_facebook.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20200630T120000
DTEND;TZID=America/Toronto:20200630T130000
DTSTAMP:20260410T110011
CREATED:20200615T190743Z
LAST-MODIFIED:20200616T131736Z
UID:21743-1593518400-1593522000@vieux.ivado.ca
SUMMARY:A Hidden\, Bot-only Platform to Learn About Trolls and Scammers
DESCRIPTION:The 3rd International Symposium on Software Engineering for Machine Learning Applications (SEMLA) is here! \nGiven the current pandemic situation\, SEMLA 2020 will be held in the form of free webinars this year. \n\nSEMLA aims at bringing together leading researchers and practitioners in software engineering and machine learning to reflect on and discuss the challenges and implications of engineering complex data-intensive software systems. IVADO is very proud to support this important event. \nWhile everyone agrees that the development of new machine learning algorithms will enhance the potential of data analytics\, only their implementation in real-world systems will allow them to realize their full potential. From an engineering perspective\, once an algorithm is implemented\, it requires a solid architecture\, model/data validation\, proper monitoring for changes\, dedicated release engineering strategies\, judicious adoption of design patterns and security checks\, and thorough user experience evaluation and adjustment. All these activities require a combined knowledge in software engineering\, data science\, and machine learning. \nHence\, SEMLA invites all practitioners and researchers to get to know the results and opinions of world leaders in both machine learning and software engineering and to discuss their views on the above problems. \nUpcoming webinars\n▶️ June 17: Diego Oppenheimer\, Algorithmia \nDevOps for Machine Learning and other Half-Truths: Processes and Tools for the ML Lifecycle\n▶️ June 18: Christian Kästner\, Carnegie Mellon School of Computer Science\nEngineering AI-Enabled Systems with Interdisciplinary Teams\n▶️ June 22: Samuel Deng et Achille C. Varzi\, Columbia University \nMethodological Blind Spots in Machine Learning Fairness: Lessons from the Philosophy of Science and Computer Science\n▶️ June 23: Grady Booch\, IBM Research\nSoftware Methodology and Lifecycle In AI\n▶️ June 30: Mark Harman\, Facebook \nA Hidden\, Bot-only Platform to Learn About Trolls and Scammers (tentative title) \nLearn more about our guest speakers >>
URL:https://vieux.ivado.ca/en/events/a-hidden-bot-only-platform-to-learn-about-trolls-and-scammers/
ATTACH;FMTTYPE=image/jpeg:https://vieux.ivado.ca/wp-content/uploads/2020/06/IVADO_SEMLA_v4__1200x630_facebook.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20200630T160000
DTEND;TZID=America/Toronto:20200903T180000
DTSTAMP:20260410T110011
CREATED:20200521T192652Z
LAST-MODIFIED:20200616T134301Z
UID:21547-1593532800-1599156000@vieux.ivado.ca
SUMMARY:IVADO Workshop
DESCRIPTION:Language\nThis workshop will be given in English. \n\n\n\n\nDescription\nThe Fin-ML/IVADO Workshop is a practical training in machine learning\, applied to concrete problems in investments\, banking and insurance. Over each week\, the workshop will consist of theory in one session\, followed by a problem-solving session. \n\n\n\n\nTarget Audience\nMaster’s and PhD students and professionals with quantitative training who want to learn about new technologies in data science\, machine learning and operations research\, with examples applied to problems in investments\, banking and insurance. \n\n\n\n\nPrerequisites\nKnowledge of Mathematics & Statistics (Linear Algebra\, Probability and Information Theory\, Numerical Computation)\, and Programming (ideally Python) is strongly recommended. The participants can familiarize themselves with Chapters 2 to 4 of the Deep Learning book by Ian Goodfellow and Yoshua Bengio and Aaron Courville (available online deeplearningbook.org) \n\n\nObjectives\n\nIntroduce students and professionals to new technologies in machine learning\, that are most relevant in the financial sector;\nDevelop an understanding of the challenges and issues of data science applied to investments\, banking and insurance;\nLearn to use computer tools to solve concrete problems;\nEncourage interdisciplinary knowledge sharing.\n\n\n\n\n\nTrainers\n\nAden Houssein Aboubaker\, MSc. Maths and Computer Science in Laval University (2018)\, Student in Artificial Intelligence in Mila-Montreal University https://mila.quebec/en/person/aboubaker-aden-houssein/\nAlexandre Carbonneau\, PhD student in financial mathematics at Concordia University; https://www.linkedin.com/in/alexandre-carbonneau-26945698/\nDidier Chételat\, Researcher\, Polytechnique Montréal\nhttp://www.didierchetelat.com\nJonathan Guymont\nAlexandre Nguyen\, Msc. CFA. is a Finance professional and a machine learning consultant. https://www.linkedin.com/in/alexandrenguyen1/\nMarie-Ève Malette\nCédric Poutré\, PhD candidate in financial mathematics at the University of Montreal and research assistant in high-frequency trading at IVADO; https://www.linkedin.com/in/cedricpoutre/\n\n\n\n\n\nOrganizers\n\nManuel Morales\, Associate Professor\, Université de Montréal\, Director of Fin-ML\nRheia Khalaf\, Director of Collaborative Research & Partnerships\, Fin-ML\n\nRegistration\nProfessionals : $1300 + tx\nStudents : $500 + tx \nClick here for more information
URL:https://vieux.ivado.ca/en/events/machine-learning-applied-to-finance-and-insurance-workshop/
END:VEVENT
END:VCALENDAR