BEGIN:VCALENDAR VERSION:2.0 PRODID:-//Drupal iCal API//EN X-WR-CALNAME:Events items teaser X-WR-TIMEZONE:America/Toronto BEGIN:VTIMEZONE TZID:America/Toronto X-LIC-LOCATION:America/Toronto BEGIN:DAYLIGHT TZNAME:EDT TZOFFSETFROM:-0500 TZOFFSETTO:-0400 DTSTART:20260308T070000 END:DAYLIGHT BEGIN:DAYLIGHT TZNAME:EDT TZOFFSETFROM:-0500 TZOFFSETTO:-0400 DTSTART:20250309T070000 END:DAYLIGHT BEGIN:DAYLIGHT TZNAME:EDT TZOFFSETFROM:-0500 TZOFFSETTO:-0400 DTSTART:20240310T070000 END:DAYLIGHT BEGIN:STANDARD TZNAME:EST TZOFFSETFROM:-0400 TZOFFSETTO:-0500 DTSTART:20251102T060000 END:STANDARD BEGIN:STANDARD TZNAME:EST TZOFFSETFROM:-0400 TZOFFSETTO:-0500 DTSTART:20241103T060000 END:STANDARD BEGIN:STANDARD TZNAME:EST TZOFFSETFROM:-0400 TZOFFSETTO:-0500 DTSTART:20231105T060000 END:STANDARD END:VTIMEZONE BEGIN:VEVENT UID:69b39e3b81c7e DTSTART;TZID=America/Toronto:20260317T113000 SEQUENCE:0 TRANSP:TRANSPARENT DTEND;TZID=America/Toronto:20260317T123000 URL:https://uwaterloo.ca/data-science/events/data-science-alumni-panel SUMMARY:Data Science Alumni Panel CLASS:PUBLIC DESCRIPTION:DATA SCIENCE ALUMNI PANEL | MARCH 17\, 2026 FROM 11:30 AM – 12:30\nPM\n\nAn exclusive VIRTUAL alumni panel where MDSAI Alumni share their\nexperiences transitioning from university to the workforce.\n\nJoi n our alumni as they discuss topics such as:\n\n* Tips for finding a job a fter graduating\n * Navigating the Data Science job market\n * Alumni insi ghts on job searching and early career experiences\n * Defining your caree r in the era of AI\n * How to shine at your co-op\, build relationships\, and make an\nimpression\n * How to network\n * How to nail that final term : things to do before you graduate\n * And more\n\nModerated by our DS Stu dent Co-Ambassador: Kacie Phillippo\, MMath in\nDS\n\nMDSAI and MMath in D S students only - please check emails for\nregistration details. DTSTAMP:20260313T051851Z END:VEVENT BEGIN:VEVENT UID:69b39e3b84462 DTSTART;VALUE=DATE:20251014 SEQUENCE:0 TRANSP:TRANSPARENT DTEND;VALUE=DATE:20260101 URL:https://uwaterloo.ca/data-science/events/ai-future-leaders-alina-rivili s-data-ethics-next-generation SUMMARY:AI Future Leaders: Alina Rivilis on Data\, Ethics & the Next Genera tion\nof AI CLASS:PUBLIC DESCRIPTION:In this episode of Canadian Women Shaping AI\, we sit down with Alina\nRivilis — CEO & Co-Founder of AI Future Leaders and Director of Data\nScience & AI at Home Trust Company — to explore how data\, ethics\ ,\nand innovation come together to shape the future of AI.\n\nWith over 25 years of experience in Enterprise Technology\, AI\nstrategy\, and Data Sc ience Leadership\, Alina has built a career at the\nintersection of innova tion and integrity. Through AI Future Leaders\,\nshe is helping schools\, organizations\, and individuals adopt AI\nresponsibly while fostering crit ical thinking and creativity.\n\nIn our conversation\, we discuss what it means to build trust in\ndata-driven systems\, how ethical education can f uel innovation\, and\nwhy preparing people — not just technology — is at the heart of a\nsustainable AI future. X-MICROSOFT-CDO-ALLDAYEVENT:TRUE DTSTAMP:20260313T051851Z END:VEVENT BEGIN:VEVENT UID:69b39e3b84ea7 DTSTART;VALUE=DATE:20251006 SEQUENCE:0 TRANSP:TRANSPARENT DTEND;VALUE=DATE:20260101 URL:https://uwaterloo.ca/data-science/events/noureen-syed-ai-leadership-and -empathy-ibm-consulting-canada SUMMARY:Noureen Syed on AI leadership and empathy at IBM Consulting Canada CLASS:PUBLIC DESCRIPTION:WOMEN IN DATA & AI (WIDA) AT WATERLOO \n\nEPISODE 1 — CANADI AN WOMEN SHAPING AI | NOREEN SYED\, IBM\nCONSULTING CANADA \n\nKicking off Canadian Women Shaping AI with Noureen Syed\n[https://ca.linkedin.com/ in/noureen-syed?trk=public_post-text]\,\nPartner at IBM Consulting Canada and proud UWaterloo alum. We dive\ninto her journey from engineering at UW aterloo to leading AI\ntransformations across Canada - and how empathy\, c uriosity\, and\nstrategy define impactful leadership in tech. X-MICROSOFT-CDO-ALLDAYEVENT:TRUE DTSTAMP:20260313T051851Z END:VEVENT BEGIN:VEVENT UID:69b39e3b85925 DTSTART;TZID=America/Toronto:20250814T150000 SEQUENCE:0 TRANSP:TRANSPARENT DTEND;TZID=America/Toronto:20250814T160000 URL:https://uwaterloo.ca/data-science/events/mdsai-co-op-experience-showcas e SUMMARY:MDSAI Co-op Experience Showcase CLASS:PUBLIC DESCRIPTION:JOIN US FOR THE FIRST-EVER MDSAI CO-OP EXPERIENCE SHOWCASE!\n\n Ever wondered what your classmates have been up to during their co-op\nter ms? The MDSAI Co-op Experience Showcase is a space for students to\nreflec t on and share the impact of their work-integrated learning\nexperiences.\ n\n* Attend to hear about exciting roles\, cool projects\, and lessons\nle arned.\n * Present to inspire others with your experience! DTSTAMP:20260313T051851Z END:VEVENT BEGIN:VEVENT UID:69b39e3b86342 DTSTART;TZID=America/Toronto:20250522T150000 SEQUENCE:0 TRANSP:TRANSPARENT DTEND;TZID=America/Toronto:20250522T190000 URL:https://uwaterloo.ca/data-science/events/waterlooai-job-fair-spring-202 5 LOCATION:DC - William G. Davis Computer Research Centre 200 University Aven ue West Waterloo ON N2L 3G1 Canada SUMMARY:Waterloo.AI Job Fair - Spring 2025 CLASS:PUBLIC DESCRIPTION:Are you a 3rd or 4th-year undergrad\, Master’s\, PhD\, or Pos tdoc\nstudent at the University of Waterloo with a focus in AI or Data\nSc ience?\n\nJoin us for this exclusive in-person hiring and networking event \,\nconnecting top employers with emerging AI talent.\n\nEVENT DETAILS\n\n Date: Thursday\, May 22\, 2025\nTime: 3:00 PM – 7:00 PM EDT\nLocation: D avis Centre (DC)\, University of Waterloo\nAdmission: FREE – Register by Friday\, May 16 at 12:00 PM DTSTAMP:20260313T051851Z END:VEVENT BEGIN:VEVENT UID:69b39e3b87634 DTSTART;TZID=America/Toronto:20250321T170000 SEQUENCE:0 TRANSP:TRANSPARENT DTEND;TZID=America/Toronto:20250321T200000 URL:https://uwaterloo.ca/data-science/events/mdsai-celebrating-5-years-exce llence SUMMARY:MDSAI | Celebrating 5 Years of Excellence CLASS:PUBLIC DESCRIPTION:The Master of Data Science and Artificial Intelligence (MDSAI) program\nis proud to celebrate 5 years of excellence! \n\nSince its launc h in 2019\, the MDSAI program has established itself as\na leading academi c program\, and is ranked second in Canada by the QS\nWorld Subject Ranki ngs. Over 120 students have successfully graduated\,\nmaking their mark in the fields of data science and artificial\nintelligence.\n\nTo mark this remarkable milestone\, MDSAI alumni\, esteemed faculty\, and\ncurrent stud ents will be invited to celebrate on March 21\, 2025. The\ncelebration wil l provide the opportunity to reconnect\, reflect on our\nachievements\, an d look ahead to a future filled with innovation and\nsuccess. DTSTAMP:20260313T051851Z END:VEVENT BEGIN:VEVENT UID:69b39e3b87fc9 DTSTART;TZID=America/Toronto:20241127T140000 SEQUENCE:0 TRANSP:TRANSPARENT DTEND;TZID=America/Toronto:20241127T163000 URL:https://uwaterloo.ca/data-science/events/data-science-industry-panel-ne tworking-event LOCATION:M3 - Mathematics 3 200 University Avenue West Waterloo ON N2L 3G1 Canada SUMMARY:Data Science Industry Panel Networking Event CLASS:PUBLIC DESCRIPTION:FALL 2024 INDUSTRY PANEL NETWORKING EVENT\n\nWe are pleased to announce our annual exclusive Industry Panel\nNetworking Event featuring a distinguished panel of industry\nexperts. Join us on WEDNESDAY\, NOVEM BER 27\, from 2:00 PM TO 4:30\nPM for an afternoon of insightful discuss ions and networking\nopportunities. DTSTAMP:20260313T051851Z END:VEVENT BEGIN:VEVENT UID:69b39e3b88b2d DTSTART;TZID=America/Toronto:20240612T100000 SEQUENCE:0 TRANSP:TRANSPARENT DTEND;TZID=America/Toronto:20240612T120000 URL:https://uwaterloo.ca/data-science/events/data-science-june-2024-graduat ion-celebration LOCATION:M3 - Mathematics 3 200 University Avenue West Waterloo ON N2L 3G1 Canada SUMMARY:Data Science June 2024 Graduation Celebration CLASS:PUBLIC DTSTAMP:20260313T051851Z END:VEVENT BEGIN:VEVENT UID:69b39e3b891f6 DTSTART;VALUE=DATE:20240126 SEQUENCE:0 TRANSP:TRANSPARENT DTEND;VALUE=DATE:20240205 URL:https://uwaterloo.ca/data-science/events/scotiabank-data-science-discov ery-days SUMMARY:Scotiabank Data Science Discovery Days CLASS:PUBLIC DESCRIPTION:Register online\n[https://uwaterloo.ca/statistics-and-actuarial -science/events/scotiabank-data-science-discovery-days-2024#registration]  today!\n\nAN UNDERGRADUATE AND GRADUATE DATA ANALYSIS COMPETITION\n\nSco tiabank and the Department of Statistics and Actuarial Science are\nplease d to announce the second Data Science Discovery Days\ncompetition!\n\nThis event will feature exclusive opportunities to engage with one of\nCanada ’s top businesses\, Scotiabank. Immerse yourself in valuable\nexperience s\, including networking sessions with Scotiabank experts\, an\ninsightful data session led by industry professionals\, and a thrilling\ndata hackat hon utilizing real-world data. Don't miss out on this\nunique chance to co nnect\, learn\, and innovate with leaders of the\nfinancial industry!\n\nE VENT OVERVIEW\n\nTHE DATA TOPIC FOR THIS YEAR'S COMPETITION WILL BE CENTER ED AROUND\n'USING AI TO DERIVE BUSINESS INSIGHTS FROM CUSTOMER FEEDBACK'.  \n\nThe competition will require high-pressure data analysis\, critical \nthinking\, and presentation design\, each team is required to submit a\n presentation slide deck\, along with a brief write-up explaining their\nfi ndings. The teams with the strongest submissions will be invited to\nprese nt their findings in front of a panel of judges. TO BE ELIGIBLE\nFOR PRIZ ES\, ALL TEAMS MUST BE AVAILABLE TO PRESENT ON SUNDAY\, FEBRUARY\n4\, 2024 .\n\nThis competition will include $8000 IN PRIZES for participating\nte ams. The competition allows opportunities to win monetary values for\n1st place\, 2nd place\, and 3rd place.\n\nWHO MAY PARTICIPATE?\n\nThe competit ion is open to all undergraduate and graduate students at\nthe University of Waterloo. Students are encouraged to form teams of\n3-4 individuals wit h diverse backgrounds and skills from different\ndisciplines.\n\nEach indi vidual in a team must submit a separate registration and\ninclude the team name on the registration form. If you are registering\nas an individual\, please indicate this on the form and we will place\nyou on a team closer to the event date. X-MICROSOFT-CDO-ALLDAYEVENT:TRUE DTSTAMP:20260313T051851Z END:VEVENT BEGIN:VEVENT UID:69b39e3b89c46 DTSTART;TZID=America/Toronto:20231115T140000 SEQUENCE:0 TRANSP:TRANSPARENT DTEND;TZID=America/Toronto:20231115T170000 URL:https://uwaterloo.ca/data-science/events/data-science-industry-panel-ev ent-industry-and-academic LOCATION:DC - William G. Davis Computer Research Centre 200 University Aven ue West DC 1302 Waterloo ON N2L 3G1 Canada SUMMARY:Data Science Industry Panel Event: Industry and Academic Perspectiv es CLASS:PUBLIC DESCRIPTION:JOIN US NOVEMBER 15\, 2023 AT 2 P.M. IN DC 1302 FOR THE DATA SC IENCE\nINDUSTRY PANEL EVENT: INDUSTRY AND ACADEMIC PERSPECTIVES\n\nRegiste r to attend\n[https://www.ticketfi.com/event/5364/data-science-industry-pa nel-event-industry-and-academic-perspectives]\n\n------------------------- \n\nEVENT HIGHLIGHTS\n\nEXPERT TALKS:\n\nHear from YANNICK LALLEMENT\, VP \, Global Artificial Intelligence &\nMachine Learning at Scotiabank and  TAMER ÖZSU\, Professor in the\nDavid R. Cheriton School of Computer Scien ce at the University of\nWaterloo\, as they explore data science from an industry and academic\nperspective.\n\nPANEL DISCUSSION:\n\nOur distingui shed panel of experts will answer questions and further\ndiscuss perspecti ves of Data Science.\n\n* Tamer Özsu\, Professor | David R. Cheriton Sch ool of Computer\nScience  \n * Yannick Lallement\, VP\, Global Artificia l Intelligence & Machine\nLearning | Scotiabank \n * Jeff Hatcher\, Dire ctor\, Advanced Analytic | Canadian Institute\nfor Health Information \n \nNETWORKING OPPORTUNITIES: \n\nThe talk and panel event will be followed by an opportunity to network\nwith our experts\, special guests and fello w classmates in DC 1301.\n_REFRESHMENTS WILL BE SERVED. _\n\n------------ -------------\n\nEVENT TALKS\n\nSCOTIABANK'S APPROACH TO LARGE LANGUAGE MO DELS (LLM) \nYannick Lallement | VP\, Global Artificial Intelligence & Ma chine\nLearning\, Scotiabank \n\nA presentation on Scotiabank's risk-base d approach to LLM enablement.\nIncluding the usage of ChatGPT\, the major use cases identified so far\nand their road to production\, and an update on various LLM pilots the\nbank is running. \n\n A SYSTEMATIC VIEW OF DA TA SCIENCE \nTamer Özsu | Professor\, David R. Cheriton School of Compu ter\nScience \n\n​There is a data-driven revolution underway in science and society\,\ndisrupting every form of enterprise. We are collecting and storing\ndata more rapidly than ever before. There is an increasing recog nition\nthat data science can assist in leveraging this data and the insig hts\nobtained from it into products\, systems\, and policies. This has\nre sulted in the formation within academia of data science research\ncentres\ , institutes and even academic units and the establishment of\nmajor initi atives within every major industrial organization. However\,\nour understa nding of data science is vague and highly varied and\, in\nmany cases\, ar e squeezed to fit the available openings within an\ninstitution. There is a need to approach this field systematically to\ndefine its scope and its boundaries. The objective of this talk is to\nprovide such a consistent an d systematic study of the scoping of data\nscience.    DTSTAMP:20260313T051851Z END:VEVENT END:VCALENDAR