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DTSTART;TZID=America/Toronto:20261006T103000
DTEND;TZID=America/Toronto:20261006T120000
DTSTAMP:20261003T151300Z
CREATED:20260930T142218Z
LAST-MODIFIED:20261003T151300Z
UID:3781-1791282600-1791288000@evec.act.utoronto.ca
SUMMARY:R: A Gentle Introduction for Beginners
DESCRIPTION:Interested in learning R for your research or future career opportunities? R is a widely used open-source statistical programming language in both academia and industry. This workshop provides a gentle and accessible introduction to the world of data science. Get started with R through a hands-on workshop where you will learn how to import\, explore\, and manipulate data using R in RStudio. No coding experience required.  No math or statistics background required or covered. \nFormat: Hybrid. Location: Map & Data Library Data Lab\, 5th Floor of Robarts Library\, Room 5031. A link to join the event online will be sent to registrants.
URL:https://evec.act.utoronto.ca/event/r-a-gentle-introduction-for-beginners/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20261006T140000
DTEND;TZID=America/Toronto:20261006T160000
DTSTAMP:20261003T151300Z
CREATED:20260930T142219Z
LAST-MODIFIED:20261003T151300Z
UID:3782-1791295200-1791302400@evec.act.utoronto.ca
SUMMARY:Introduction to Using MAXQDA for Qualitative Data Analysis
DESCRIPTION:What: Learn to use a market-leading\, point-and-click qualitative data management and analysis tool\, MAXQDA\, by performing common tasks\, such as loading in data\, coding\, writing memos\, and exporting.\nWhy: Learning qualitative data analysis skills and tools will help you organize and participate in qualitative research projects\, gain insights into your data\, communicate your findings\, and stand out in the job market.\nSoftware: Faculty\, staff\, and students at the University of Toronto can now get a free license key for MAXQDA. Check out our installation guide for instructions. You can also use it in the Robarts Library 4th floor computer lab and the Map & Data Library (MDL) data lab on the 5th floor.\nWho: This workshop is designed for those new to MAXQDA. Skills gained can help participants working with qualitative data from any discipline: Humanities\, Social Sciences\, or Sciences. There are no prerequisites or assumptions of knowledge of statistics or programming.\nWhen: Tuesday\, Oct. 6\, 2026\, 2-4pm\nWhere: MDL Data Lab\, 5th floor of Robarts Library (Room 5031)\nHow: This is a 2-hour in-person workshop\, consisting of a short lecture and then a series of demonstrations\, which you can follow along with or just watch\, interspersed with self-paced activities. There will be a short break in the middle.\n\n\n\nCode of Conduct: Map & Data Library (MDL) workshops are a welcoming and inclusive environment for learning. To learn more\, check out our Code of Conduct.\nAccessibility: The MDL is committed to making our workshops accessible to everyone. If you require an accommodation to fully participate in the workshop\, please contact Kelly Schultz (kelly.schultz@utoronto.ca) to discuss options.\nComplementary Learning Materials: Check out our Getting Started Guide for more resources.\n\nJoin your peers to meet new people and learn new skills in a welcoming and encouraging environment!
URL:https://evec.act.utoronto.ca/event/introduction-to-using-maxqda-for-qualitative-data-analysis/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20261007T103000
DTEND;TZID=America/Toronto:20261007T120000
DTSTAMP:20261003T151300Z
CREATED:20260930T142219Z
LAST-MODIFIED:20261003T151300Z
UID:3783-1791369000-1791374400@evec.act.utoronto.ca
SUMMARY:Stata: A Gentle Introduction for Beginners
DESCRIPTION:Interested in learning Stata? Need to use Stata for your research or future career opportunities? Stata is a data science software that is commonly used in academia and research organizations. Get started with Stata through this gentle\, hands-on workshop. You will learn how to import\, explore\, and manipulate data using Stata.  \nNo coding experience required! No math or statistics theory required or covered! \nFormat: Hybrid. Location: Map & Data Library Data Lab\, 5th Floor of Robarts Library\, Room 5031. A link to join the event online will be sent to registrants.
URL:https://evec.act.utoronto.ca/event/stata-a-gentle-introduction-for-beginners/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20261008T100000
DTEND;TZID=America/Toronto:20261008T120000
DTSTAMP:20261003T151300Z
CREATED:20260930T142219Z
LAST-MODIFIED:20261003T151300Z
UID:3784-1791453600-1791460800@evec.act.utoronto.ca
SUMMARY:Introduction to Using MAXQDA for Qualitative Data Analysis
DESCRIPTION:What: Learn to use a market-leading\, point-and-click qualitative data management and analysis tool\, MAXQDA\, by performing common tasks\, such as loading in data\, coding\, writing memos\, and exporting.\nWhy: Learning qualitative data analysis skills and tools will help you organize and participate in qualitative research projects\, gain insights into your data\, communicate your findings\, and stand out in the job market.\nSoftware: Faculty\, staff\, and students at the University of Toronto can now get a free license key for MAXQDA. Check out our installation guide for instructions. You can also use it in the Robarts Library 4th floor computer lab and the Map & Data Library (MDL) data lab on the 5th floor.\nWho: This workshop is designed for those new to MAXQDA. Skills gained can help participants working with qualitative data from any discipline: Humanities\, Social Sciences\, or Sciences. There are no prerequisites or assumptions of knowledge of statistics or programming.\nWhen: Thursday\, Oct. 8\, 2026\, 10am-12pm\nWhere: Online via Zoom link (provided upon registration)\nHow: This is a 2-hour online workshop\, consisting of a short lecture and then a series of demonstrations\, which you can follow along with or just watch\, interspersed with self-paced activities. There will be a short break in the middle.\n\n\n\nCode of Conduct: Map & Data Library (MDL) workshops are a welcoming and inclusive environment for learning. To learn more\, check out our Code of Conduct.\nAccessibility: The MDL is committed to making our workshops accessible to everyone. If you require an accommodation to fully participate in the workshop\, please contact Kelly Schultz (kelly.schultz@utoronto.ca) to discuss options.\nComplementary Learning Materials: Check out our Getting Started Guide for more resources.\n\nJoin your peers to meet new people and learn new skills in a welcoming and encouraging environment!
URL:https://evec.act.utoronto.ca/event/introduction-to-using-maxqda-for-qualitative-data-analysis-2/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20261013T130000
DTEND;TZID=America/Toronto:20261013T150000
DTSTAMP:20261003T151300Z
CREATED:20260930T142219Z
LAST-MODIFIED:20261003T151300Z
UID:3785-1791896400-1791903600@evec.act.utoronto.ca
SUMMARY:Creating Digital Narratives: An Introduction to ArcGIS StoryMaps
DESCRIPTION:What: Unlock the power of digital storytelling in this interactive workshop designed for anyone interested in combining narrative with spatial data. Through a blend of storytelling principles\, platform exploration\, and a live demonstration of ArcGIS StoryMaps\, you’ll learn how to craft engaging\, map-driven stories that inform\, inspire\, and connect with your audience. \nWhy: In an information-rich environment\, storytelling that integrates clear narrative\, informative visuals\, and interactive maps can enhance audience engagement and facilitate understanding. ArcGIS StoryMaps supports this approach by providing accessible tools for communicating information within geographic contexts and presenting complex ideas through an integrated combination of text\, maps\, and visual content. \nSoftware: During this workshop\, we’ll walk step-by-step through the ArcGIS StoryMaps builder\, showing how to structure content\, incorporate maps and multimedia\, and apply design and layout options to elevate your storytelling. ArcGIS StoryMaps is a web-based tool that enables you to integrate maps\, text\, images\, multimedia\, and embedded content into a single interactive narrative. \nFaculty\, staff\, and students at the University of Toronto can access ArcGIS StoryMaps by signing in to ArcGIS Online at arcgis.com or directly through storymaps.arcgis.com using their UTORid and password. If this is your first time using ArcGIS Online\, please follow the instructions to learn how to sign in and access your account. \nWho: This workshop is ideal for educators\, researchers\, and students from any discipline\, as well as GIS users interested in expanding their skills into public-facing storytelling. It is also suitable for anyone interested in combining digital narrative with geographic data. No coding experience or prior knowledge of GIS is required. \nWhen: Tuesday\, Oct. 13\, 2026\, 1-3pm \nWhere: MDL Data Lab\, 5th floor of Robarts Library (Room 5031) \nHow: This two-hour\, in-person workshop combines a short lecture with an interactive live demonstration. Participants will learn the fundamentals of digital storytelling with ArcGIS StoryMaps\, including how to navigate the platform\, structure a narrative\, and incorporate maps\, images\, video\, and other multimedia content. The workshop will also introduce basic design and accessibility principles and demonstrate how to publish and share a completed StoryMap. \nDuring the live demonstration\, we will build a StoryMap using real examples and show how to select an appropriate format\, organize content\, add and customize maps and multimedia\, apply design and layout options\, and publish the final story. Participants will be encouraged to follow along using their own StoryMaps account. \n\nCode of Conduct: Map & Data Library (MDL) workshops are a welcoming and inclusive environment for learning. To learn more\, check out our Code of Conduct. \nAccessibility: The MDL is committed to making our workshops accessible to everyone. If you require an accommodation to fully participate in the workshop\, please contact please contact Yeliz Baloglu Cengay (y.baloglu@utoronto.ca) to discuss options.
URL:https://evec.act.utoronto.ca/event/creating-digital-narratives-an-introduction-to-arcgis-storymaps/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20261014T100000
DTEND;TZID=America/Toronto:20261014T120000
DTSTAMP:20261003T151300Z
CREATED:20260930T142219Z
LAST-MODIFIED:20261003T151300Z
UID:3786-1791972000-1791979200@evec.act.utoronto.ca
SUMMARY:Using MAXQDA for Qualitative Data Analysis: Beyond the Basics
DESCRIPTION:What: Building upon the Introduction to Using MAXQDA for Qualitative Data Analysis workshop\, learn to use some of MAXQDA’s analysis and visualization tools\, and how to work with document variables.\nWhy: Learning qualitative data analysis skills and tools will help you organize and participate in qualitative research projects\, gain insights into your data\, communicate your findings\, and stand out in the job market.\nSoftware: Faculty\, staff\, and students at the University of Toronto can now get a free license key for MAXQDA. Check out our installation guide for instructions. You can also use it in the Robarts Library 4th floor computer lab and the Map & Data Library (MDL) data lab on the 5th floor.\nWho: This workshop is designed for those new to MAXQDA’s analysis and visualization tools\, and its document variables features\, but assumes basic knowledge of using MAXQDA to load in data and work with codes. This prior knowledge can be obtained by first taking the Introduction to Using MAXQDA for Qualitative Data Analysis workshop. Skills gained in this workshop can help participants working with qualitative data from any discipline: Humanities\, Social Sciences\, or Sciences. There are no prerequisites or assumptions of knowledge of statistics or programming.\nWhen: Wednesday\, Oct. 14\, 2026\, 10am-12pm\nWhere: Online via Zoom link (provided upon registration)\nHow: This is a 2-hour online workshop\, consisting of a short lecture and then a series of demonstrations\, which you can follow along with or just watch\, interspersed with self-paced activities. There will be a short break in the middle.\n\n\n\nCode of Conduct: Map & Data Library (MDL) workshops are a welcoming and inclusive environment for learning. To learn more\, check out our Code of Conduct.\nAccessibility: The MDL is committed to making our workshops accessible to everyone. If you require an accommodation to fully participate in the workshop\, please contact Kelly Schultz (kelly.schultz@utoronto.ca) to discuss options.\nComplementary Learning Materials: Check out our Getting Started Guide for more resources.\n\nJoin your peers to meet new people and learn new skills in a welcoming and encouraging environment!
URL:https://evec.act.utoronto.ca/event/using-maxqda-for-qualitative-data-analysis-beyond-the-basics/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20261014T120000
DTEND;TZID=America/Toronto:20261014T140000
DTSTAMP:20261003T151300Z
CREATED:20260930T141723Z
LAST-MODIFIED:20261003T151300Z
UID:3768-1791979200-1791986400@evec.act.utoronto.ca
SUMMARY:Introduction to Industry Research
DESCRIPTION:Whether you are on the edge of a new industry to looking to enter an established sector\, you need to quantify and understand the industry players\, segments\, and size. This workshop introduces you to existing sources of industry information such as market research reports and trade journals\, as well as provides strategies to help you do your own analysis and estimations.  \nIn this session you will:  \n\nBecome familiar proprietary and open sources of industry information\nLearn to read a market research report in five minutes\nExplore models for DIY industry analysis\nTake away tools and frameworks for synthesizing and analyzing your industry\n\nLocation: Online via Zoom (participants will receive a link prior to session start) Instructor: Elizabeth O’Brien\, Liaison Librarian\, elizabeth.obrien@utoronto.ca \nThis workshop is part of the Entrepreneurship Research Co-Curricular Record as recognized by the University of Toronto. Students of all levels are eligible to participate in the CCR\, and must provide their student number upon registration.
URL:https://evec.act.utoronto.ca/event/introduction-to-industry-research/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20261014T130000
DTEND;TZID=America/Toronto:20261014T150000
DTSTAMP:20261003T151300Z
CREATED:20260930T142219Z
LAST-MODIFIED:20261003T151300Z
UID:3788-1791982800-1791990000@evec.act.utoronto.ca
SUMMARY:Spatial Analysis with ArcGIS Pro
DESCRIPTION:In this free Map and Data Library workshop\, you will learn how to use open data and geoprocessing tools to perform spatial analysis and develop problem-solving workflows. Using ArcGIS Pro\, we will model a real-world public health problem and walk through the steps of gathering and assessing relevant data\, applying effective symbolization\, performing analysis using geoprocessing tools\, and developing data-driven insights. \nWe’ll also consider how you might design your analyses in a thoughtful way\, by considering what data and techniques are appropriate for your problem\, how to evaluate the quality and accuracy of your data and results\, and how to communicate your findings effectively. \n\nBy the end of this workshop\, you will be able to: • Understand GIS as a problem-solving technology • Find and visualize data on a map • Apply geoprocessing and analysis tools to perform spatial operations • Interpret and communicate the results of your analysis • Design your analysis with data and techniques that suit your problem \nDon’t miss this opportunity to enhance your GIS skills with ArcGIS Pro. We look forward to seeing you there! \n\n\nPrerequisites: While it’s beneficial to have attended our GIS Essentials with ArcGIS Pro workshop (or watched a video of a previously-recorded intro level workshop)\, this is not a prerequisite. This workshop is open to anyone interested in learning about GIS.\nAudience: This workshop is designed for U of T students and researchers.\nInstructor: Cole White\, GIS Analyst\n\nThis event will be held in the MDL Data Lab\, room 5031 on the 5th floor of the Robarts Library. \nMap & Data Library workshops\, such as this one\, are a welcoming and inclusive environment for learning. To learn more\, check out our Code of Conduct. \n MDL is committed to making our workshops accessible to everyone. If you’d like to discuss how we can best meet your accessibility needs and help you get the most out of this workshop\, please contact Cole White (cole.white@utoronto.ca).
URL:https://evec.act.utoronto.ca/event/spatial-analysis-with-arcgis-pro/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20261015T140000
DTEND;TZID=America/Toronto:20261015T160000
DTSTAMP:20261003T151301Z
CREATED:20260930T142219Z
LAST-MODIFIED:20261003T151301Z
UID:3789-1792072800-1792080000@evec.act.utoronto.ca
SUMMARY:Using MAXQDA for Qualitative Data Analysis: Beyond the Basics
DESCRIPTION:What: Building upon the Introduction to Using MAXQDA for Qualitative Data Analysis workshop\, learn to use some of MAXQDA’s analysis and visualization tools\, and how to work with document variables.\nWhy: Learning qualitative data analysis skills and tools will help you organize and participate in qualitative research projects\, gain insights into your data\, communicate your findings\, and stand out in the job market.\nSoftware: Faculty\, staff\, and students at the University of Toronto can now get a free license key for MAXQDA. Check out our installation guide for instructions. You can also use it in the Robarts Library 4th floor computer lab and the Map & Data Library (MDL) data lab on the 5th floor.\nWho: This workshop is designed for those new to MAXQDA’s analysis and visualization tools\, and its document variables features\, but assumes basic knowledge of using MAXQDA to load in data and work with codes. This prior knowledge can be obtained by first taking the Introduction to Using MAXQDA for Qualitative Data Analysis workshop. Skills gained in this workshop can help participants working with qualitative data from any discipline: Humanities\, Social Sciences\, or Sciences. There are no prerequisites or assumptions of knowledge of statistics or programming.\nWhen: Thursday\, Oct. 15\, 2026\, 2-4pm\nWhere: MDL Data Lab\, 5th floor of Robarts Library (Room 5031)\nHow: This is a 2-hour in-person workshop\, consisting of a short lecture and then a series of demonstrations\, which you can follow along with or just watch\, interspersed with self-paced activities. There will be a short break in the middle.\n\n\n\nCode of Conduct: Map & Data Library (MDL) workshops are a welcoming and inclusive environment for learning. To learn more\, check out our Code of Conduct.\nAccessibility: The MDL is committed to making our workshops accessible to everyone. If you require an accommodation to fully participate in the workshop\, please contact Kelly Schultz (kelly.schultz@utoronto.ca) to discuss options.\nComplementary Learning Materials: Check out our Getting Started Guide for more resources.\n\nJoin your peers to meet new people and learn new skills in a welcoming and encouraging environment!
URL:https://evec.act.utoronto.ca/event/using-maxqda-for-qualitative-data-analysis-beyond-the-basics-2/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20261016T120000
DTEND;TZID=America/Toronto:20261016T130000
DTSTAMP:20261003T151301Z
CREATED:20260930T141723Z
LAST-MODIFIED:20261003T151301Z
UID:3769-1792152000-1792155600@evec.act.utoronto.ca
SUMMARY:Gerstein + MADLab 3D Printing Safety Training
DESCRIPTION:This session introduces tools\, techniques and best practices of 3D printing\, including the basics of 3D printing\, an introduction to the space\, and the models of 3D printers available for use. Instructors will demonstrate how to safely use the service and the machines from start to finish\, as well as how to find and prepare 3d models and software.  \nTaking this workshop is the first step to get certified to use the Gerstein + MADLab 3D printing service. To complete certification you must attend the full session\, pass a knowledge quiz\, and sign a safety waiver. For more information about accessing the service\, visit https://library.utoronto.ca/use/service/gerstein-madlab-3d-printing \nPlease note: Those arriving more than 10 minutes after session start will not receive the full training. Please arrive on time.  \nAttendees will learn: \n\nHow the 3D printers work and how to use them safely \nWhere to find appropriate 3D design models and upload them to the printer \nTips and tricks for printing successfully \nPolicies for using the space and booking the printer \nWhere to find resources and help\n\nWhere: Instruction Lab\, Room 2320\, 2nd floor\, Gerstein Science Information Centre  Please note that a valid TCard is required to enter Gerstein Library. Instructors: gerstein.3dprinting@utoronto.ca
URL:https://evec.act.utoronto.ca/event/gerstein-madlab-3d-printing-safety-training/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20261016T130000
DTEND;TZID=America/Toronto:20261016T150000
DTSTAMP:20261003T151301Z
CREATED:20260930T141723Z
LAST-MODIFIED:20261003T151301Z
UID:3770-1792155600-1792162800@evec.act.utoronto.ca
SUMMARY:Fun Data Friday: Python
DESCRIPTION:This is an introductory Python session that teaches how to analyze cross-country socio-economic data using Python. Participants will learn how to clean and explore datasets\, examine relationships between variables\, identify economic trends and patterns\, and create clear visualizations for quick interpretation and data driven insights. The session will demonstrate how Python can transform raw data into meaningful insights through statistical analysis and data visualization. \nWhere: This workshop will be held in The BRIDGE Data Lab  \nCode of Conduct: The Fun Data Friday workshops are a welcoming and inclusive environment for learning. To learn more\, check out our Code of Conduct.  \nAccessibility: The UTSC Library is committed to making our workshops accessible to everyone. If you require accommodation to fully participate in the workshop\, please contact Elizabeth O’Brien (elizabeth.obrien@utoronto.ca) to discuss options.  \nJoin your peers to meet new people and learn new skills in a welcoming and encouraging environment!
URL:https://evec.act.utoronto.ca/event/fun-data-friday-python/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20261020T100000
DTEND;TZID=America/Toronto:20261020T120000
DTSTAMP:20261003T151301Z
CREATED:20260930T142219Z
LAST-MODIFIED:20261003T151301Z
UID:3792-1792490400-1792497600@evec.act.utoronto.ca
SUMMARY:Getting Started with Intermediate R
DESCRIPTION:Do you want to develop your R skills to further your work with data? R is a widely used open-source statistical programming language in both academia and industry. This workshop provides a gentle introduction to intermediate-level tools in R\, including the dplyr package for data manipulation\, as well as if statements\, for loops\, and functions. This workshop is suitable for users who have had some prior introduction to R. No math or statistics theory required or covered. \nFormat: Hybrid. Location: Map & Data Library Data Lab\, 5th Floor of Robarts Library\, Room 5031. A link to join the event online will be sent to registrants.
URL:https://evec.act.utoronto.ca/event/getting-started-with-intermediate-r/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20261020T140000
DTEND;TZID=America/Toronto:20261020T160000
DTSTAMP:20261003T151301Z
CREATED:20260930T142219Z
LAST-MODIFIED:20261003T151301Z
UID:3793-1792504800-1792512000@evec.act.utoronto.ca
SUMMARY:Using MAXQDA & AI for Qualitative Data Analysis
DESCRIPTION:What: Building upon the Introduction to Using MAXQDA for Qualitative Data Analysis workshop\, learn about using AI in qualitative research and some of MAXQDA’s AI tools.\nWhy: Exploring emerging AI usage in qualitative research—including where AI can positively assist in qualitative research\, along with considerations of ethical issues and risks—will help inform your decisions on the intelligent and critical application of AI in future qualitative research. \nSoftware: Faculty\, staff\, and students at the University of Toronto can now get a free license key for MAXQDA. Check out our installation guide for instructions. You can also use it in the Robarts Library 4th floor computer lab and the Map & Data Library (MDL) data lab on the 5th floor.\nWho: This workshop is designed for those new to MAXQDA’s AI tools and more generally about the topic of AI in qualitative research. There is an assumption of some basic knowledge of using MAXQDA\, such as working with codes. This prior knowledge can be obtained by first taking the Introduction to Using MAXQDA for Qualitative Data Analysis workshop. Skills gained in this workshop can help participants working with qualitative data from any discipline: Humanities\, Social Sciences\, or Sciences. There are no prerequisites or assumptions of knowledge of statistics or programming.\nWhen: Tuesday\, Oct. 20\, 2026\, 2-4pm\nWhere: MDL Data Lab\, 5th floor of Robarts Library (Room 5031)\nHow: This is a 2-hour in-person workshop\, consisting of a lecture and then a series of demonstrations\, which you can follow along with or just watch\, interspersed with self-paced activities. There will be a short break in the middle.\n\n\n\nCode of Conduct: Map & Data Library (MDL) workshops are a welcoming and inclusive environment for learning. To learn more\, check out our Code of Conduct.\nAccessibility: The MDL is committed to making our workshops accessible to everyone. If you require an accommodation to fully participate in the workshop\, please contact Kelly Schultz (kelly.schultz@utoronto.ca) to discuss options.\nComplementary Learning Materials: Check out our Getting Started Guide for more resources.\n\nJoin your peers to meet new people and learn new skills in a welcoming and encouraging environment!
URL:https://evec.act.utoronto.ca/event/using-maxqda-ai-for-qualitative-data-analysis/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20261021T100000
DTEND;TZID=America/Toronto:20261021T120000
DTSTAMP:20261003T151301Z
CREATED:20260930T142219Z
LAST-MODIFIED:20261003T151301Z
UID:3794-1792576800-1792584000@evec.act.utoronto.ca
SUMMARY:Using MAXQDA & AI for Qualitative Data Analysis
DESCRIPTION:What: Building upon the Introduction to Using MAXQDA for Qualitative Data Analysis workshop\, learn about using AI in qualitative research and some of MAXQDA’s AI tools.\nWhy: Exploring emerging AI usage in qualitative research—including where AI can positively assist in qualitative research\, along with considerations of ethical issues and risks—will help inform your decisions on the intelligent and critical application of AI in future qualitative research. \nSoftware: Faculty\, staff\, and students at the University of Toronto can now get a free license key for MAXQDA. Check out our installation guide for instructions. You can also use it in the Robarts Library 4th floor computer lab and the Map & Data Library (MDL) data lab on the 5th floor.\nWho: This workshop is designed for those new to MAXQDA’s AI tools and more generally about the topic of AI in qualitative research. There is an assumption of some basic knowledge of using MAXQDA\, such as working with codes. This prior knowledge can be obtained by first taking the Introduction to Using MAXQDA for Qualitative Data Analysis workshop. Skills gained in this workshop can help participants working with qualitative data from any discipline: Humanities\, Social Sciences\, or Sciences. There are no prerequisites or assumptions of knowledge of statistics or programming.\nWhen: Wednesday\, Oct. 21\, 2026\, 10am-12pm\nWhere: Online via Zoom link (provided upon registration)\nHow: This is a 2-hour online workshop\, consisting of a lecture and then a series of demonstrations\, which you can follow along with or just watch\, interspersed with self-paced activities. There will be a short break in the middle.\n\n\n\nCode of Conduct: Map & Data Library (MDL) workshops are a welcoming and inclusive environment for learning. To learn more\, check out our Code of Conduct.\nAccessibility: The MDL is committed to making our workshops accessible to everyone. If you require an accommodation to fully participate in the workshop\, please contact Kelly Schultz (kelly.schultz@utoronto.ca) to discuss options.\nComplementary Learning Materials: Check out our Getting Started Guide for more resources.\n\nJoin your peers to meet new people and learn new skills in a welcoming and encouraging environment!
URL:https://evec.act.utoronto.ca/event/using-maxqda-ai-for-qualitative-data-analysis-2/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20261021T110000
DTEND;TZID=America/Toronto:20261021T120000
DTSTAMP:20261003T151301Z
CREATED:20260930T142219Z
LAST-MODIFIED:20261003T151301Z
UID:3795-1792580400-1792584000@evec.act.utoronto.ca
SUMMARY:ggplot2: A Gentle Introduction using R in RStudio
DESCRIPTION:ggplot2 is a popular R package used to create publication-quality graphics. This workshop provides a gentle introduction to ggplot2 functions in RStudio for creating clear and visually appealing graphs. No math or statistics theory required or covered. Data cleaning and data preparation in R are not covered in this workshop. \nFormat: Hybrid. Location: Map & Data Library Data Lab\, 5th Floor of Robarts Library\, Room 5031. A link to join the event online will be sent to registrants.
URL:https://evec.act.utoronto.ca/event/ggplot2-a-gentle-introduction-using-r-in-rstudio/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20261028T130000
DTEND;TZID=America/Toronto:20261028T150000
DTSTAMP:20261003T151301Z
CREATED:20260930T142219Z
LAST-MODIFIED:20261003T151301Z
UID:3796-1793192400-1793199600@evec.act.utoronto.ca
SUMMARY:Spatial Analysis with QGIS
DESCRIPTION:In this free Map and Data Library workshop\, you will learn how to use open data and geoprocessing tools to perform spatial analysis and develop problem-solving workflows. Using QGIS 3\, we’ll model a real-world problem and walk through the steps of gathering and assessing relevant data\, applying effective symbolization\, performing analysis using geoprocessing tools\, and developing data-driven insights. \nWe’ll also consider how you might design your analyses in a thoughtful way\, by considering what data and techniques are appropriate for your problem\, how to evaluate the quality and accuracy of your data and results\, and how to communicate your findings effectively. \n\nBy the end of this workshop\, you will be able to: • Understand GIS as a problem-solving technology. • Find and visualize data on a map. • Apply geoprocessing and analysis tools to perform spatial operations. • Interpret and communicate the results of your analysis. • Design your analysis with data and techniques that suit your problem. \nDon’t miss this opportunity to enhance your GIS skills with QGIS. We look forward to seeing you there! \n\n\nPrerequisites:\nWhile it’s beneficial to have attended our GIS Essentials with QGIS workshop (or watched a video of a previously recorded intro-level workshop)\, this is not a prerequisite. This workshop is open to anyone interested in learning about GIS.\nAudience:\nThis workshop is designed for U of T students and researchers.\nInstructor:\nCole White\, GIS Analyst\n\nThis event will be held at the Robarts Library\, in the MDL Data Lab (room 5031) on the 5th floor. \nMap & Data Library workshops\, such as this one\, are a welcoming and inclusive environment for learning. To learn more\, check out our Code of Conduct. \n MDL is committed to making our workshops accessible to everyone. If you’d like to discuss how we can best meet any accessibility needs you may have and help you get the most out of this workshop\, please contact Cole White (cole.white@utoronto.ca).
URL:https://evec.act.utoronto.ca/event/spatial-analysis-with-qgis/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20261029T120000
DTEND;TZID=America/Toronto:20261029T140000
DTSTAMP:20261003T151301Z
CREATED:20260930T141723Z
LAST-MODIFIED:20261003T151301Z
UID:3771-1793275200-1793282400@evec.act.utoronto.ca
SUMMARY:Resources for Patent Research
DESCRIPTION:Find out what makes your technology unique and who else holds patents in your space. This basic DIY patent searching workshop includes an introduction to open web databases for patent searching\, an overview of classification systems\, and examples of prior art searches. \nYou will learn: \n\nHow to read a patent document quickly and efficiently\nAdvantages and limitations of various online patent resources\nStrategies to build effective searches using keywords and classifications\n\nWhere: Online via Zoom – registrants will receive a link prior to workshop start Instructor: Annalisa Gatti\, Engineering Librarian\, Engineering and Computer Science Library\, annalisa.gatti@utoronto.ca \nThis workshop is part of the Entrepreneurship Research Co-Curricular Record as recognized by the University of Toronto. Students of all levels are eligible to participate in the CCR\, and must provide their student number upon registration.
URL:https://evec.act.utoronto.ca/event/resources-for-patent-research/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20261029T140000
DTEND;TZID=America/Toronto:20261029T160000
DTSTAMP:20261003T151301Z
CREATED:20260930T142219Z
LAST-MODIFIED:20261003T151301Z
UID:3798-1793282400-1793289600@evec.act.utoronto.ca
SUMMARY:Introduction to Using NVivo 15 for Qualitative Data Analysis (Windows Version)
DESCRIPTION:What: Learn to use a market-leading\, point-and-click qualitative data management and analysis tool\, NVivo\, by performing common tasks\, such as loading in data\, coding\, writing memos\, and exporting.\nWhy: Learning qualitative data analysis skills and tools will help you organize and participate in qualitative research projects\, gain insights into your data\, communicate your findings\, and stand out in the job market.\nSoftware: Faculty\, staff\, and students at the University of Toronto can get a free license key for NVivo. You can also use it in the Robarts Library 4th floor computer lab and the Map & Data Library (MDL) data lab on the 5th floor. Note: NVivo works differently on Macs vs Windows. If you are running NVivo on a Mac\, you should attend the Introduction to Using NVivo 15 for Qualitative Data Analysis (Mac Version) workshop instead.\nWho: This workshop is designed for those new to NVivo 15. Skills gained can help participants working with qualitative data from any discipline: Humanities\, Social Sciences\, or Sciences. There are no prerequisites or assumptions of knowledge of statistics or programming.\nWhen: Thursday\, Oct. 29\, 2026\, 2-4pm\nWhere: MDL Data Lab\, 5th floor of Robarts Library (Room 5031)\nHow: This is a 2-hour in-person workshop\, consisting of a short lecture and then a series of demonstrations\, which you can follow along with or just watch\, interspersed with self-paced activities. There will be a short break in the middle.\n\n\n\nCode of Conduct: Map & Data Library (MDL) workshops are a welcoming and inclusive environment for learning. To learn more\, check out our Code of Conduct.\nAccessibility: The MDL is committed to making our workshops accessible to everyone. If you require an accommodation to fully participate in the workshop\, please contact Kelly Schultz (kelly.schultz@utoronto.ca) to discuss options.\nComplementary Learning Materials: Check out our Getting Started Guide for a recording of this workshop and more tutorials.\n\nJoin your peers to meet new people and learn new skills in a welcoming and encouraging environment!
URL:https://evec.act.utoronto.ca/event/introduction-to-using-nvivo-15-for-qualitative-data-analysis-windows-version/
END:VEVENT
END:VCALENDAR