Toronto Data Workshop

We share best practice for doing data science, and are especially interested in the data munging/cleaning/prep/comms stages that folks typically don’t talk about. We meet for an hour each week and are interested in anything that is data-focused across academia and industry. Typically, Fridays at noon (Toronto time) via Zoom, with most talks recorded and shared. All welcome. Free. Sign up here.

21 May 2021. The University of Toronto is under censure from the Canadian Association of University Teachers (CAUT). The Faculty of Information has provided a resource page of links. After seeking advice from CAUT, where it was reasonable to do so, we have postponed talks by external academics due to this censure. We thank the following external academic speakers for their understanding and hope to host them then the censure is resolved: Nick Huntington-Klein, Seattle University; Leslie Root, University of Colorado Boulder; Maria Kamenetsky, University of Wisconsin-Madison; Irena Papst, Cornell University; Vincent Arel-Bundock, Université de Montréal; Silvia Canelón, University of Pennsylvania; Jingchen (Monika) Hu, Vassar College; Lisa Lendway, Macalester College; Vincenzo Coia, University of British Columbia, Vancouver. We intend to try to fill these spots with talks by students.

Overview

The Toronto Data Workshop (TDW) brings together academia and industry to consider, collate, share, and disseminate best practices in doing data science, especially in the data-centric steps of a data science project: collection; cleaning; storage; retrieval; dissemination; protection; and communication. We meet weekly for an hour and aim to have a roughly even split of participants from academia and industry over the course of each term. For an invitation please sign up here. Anyone is welcome to attend - you don’t need to be affiliated with the university.

Current organising committee:

Past committee members:

The TDW is a joint initiative between the Faculty of Information and the Department of Statistical Sciences at the University of Toronto and we especially thank Dean Wendy Duff and Chair Radu Craiu for their support.

Current schedule

Summer 2021

Date Speaker Topic Recording
Fri 21 May 2021, noon-1pm David Shor, OpenLabs Political data science. https://youtu.be/_IEPKapa9_0
Fri 28 May 2021, noon-1pm Samantha Pierre, University of Toronto The Effects of a Tony Award. https://youtu.be/rFojvBN0qGk
Fri 4 June 2021, noon-1pm Heather Krause, We All Count Equity in data. https://youtu.be/Yu_l8MpKK-E
Fri 11 June 2021, noon-1pm Laura Bronner, Data scientist Quantitative editing. https://youtu.be/LI5m9RzJgWc
Fri 18 June 2021, noon-1pm Jacob Matson, Simetric, Inc. From data to dashboard. https://youtu.be/U8-6QKtWXCQ
Fri 25 June 2021, noon-1pm Laura Derksen, University of Toronto Mississauga (jointly hosted with the UTM Collaborative Digital Research Space.) Effect of Wikipedia https://youtu.be/Coz-HFesTsw
Fri 2 July 2021, noon-1pm Zachary McCaw, Google
Fri 9 July 2021, noon-1pm No meeting
Fri 16 July 2021, noon-1pm Kamilah Ebrahim, University of Toronto Trust in contact tracing apps. https://youtu.be/f_3bpEeRdhI
Fri 23 July 2021, noon-1pm Annie Collins & Rohan Alexander, University of Toronto Reproducibility of COVID-19 pre-prints
Fri 30 July 2021, noon-1pm Keli Chiu, University of Toronto Detecting and explaining sexist and racist text with GPT-3
Fri 6 August 2021, 12:30-1:30pm Ijeamaka Anyene, Kaiser Permanente Division of Research Taking the next step past standard charts.
Fri 13 August 2021, noon-1pm
Fri 20 August 2021, noon-1pm Students from Vianey Leos Barajas’ research group, University of Toronto
Fri 27 August 2021, noon-1pm Students from Rohan Alexander’s research group, University of Toronto

Past schedules

Winter 2021

Thanks to Paul Hodgetts for the Jays-inspired sticker.

Date Speaker Topic Recording
Thu 14 Jan, 4:30-5:30pm Andrew Miles, University of Toronto (jointly hosted with the UTM Collaborative Digital Research Space.) Code, plots, and values https://youtu.be/mdjOoKT-f7E
Wed 20 Jan, 4:30-5:30pm Zia Babar, University of Toronto Derivative data security. https://youtu.be/fdVZqvECXXQ
Thu 28 Jan, 4:30-5:30pm Irene Duah-Kessie, University of Toronto Bias and fairness in health. https://youtu.be/xwWvOeSXu5o
Thu 4 Feb, 4:30-5:30pm Kathy Ge, Uber Experimentation and product design. https://youtu.be/UYzXElJTovg
Thu 11 Feb, 4:30-5:30pm Garrick Aden-Buie, R Studio Using R Markdown. https://youtu.be/Hl798H6J-bg
Mon 15 Feb, Noon-1:00pm Emily Riederer, Capital One Observational causal inference. https://youtu.be/VP3BBZ7poc0
Thu 18 Feb, 4:30-5:30pm Annie Collins, Haoluan Chen, Isaac Ehrlich, Mariam Walaa, Marija Pejcinovska, Mathew Wankiewicz, Michael Chong, Paul Hodgetts, Rohan Alexander, Samantha-Jo Caetano, Shirley Deng, and Yena Joo, University of Toronto DoSS toolkit launch. https://youtu.be/aeAXvW3K_wU
Thu 25 Feb, 9:00-5:30pm Various Toronto Workshop on Reproducibility See here.
Fri 26 Feb, 9:00-5:30pm Various Toronto Workshop on Reproducibility See here.
Thu 4 Mar, 4:30-5:30pm Petros Pechlivanoglou, The Hospital for Sick Children (SickKids) Research Institute Simulation and retrospective data for health economic decision making. https://youtu.be/-aZjLCPsO_w
Thu 11 Mar, 4:30-5:30pm Lucas Cherkewski, Canadian Digital Service Using publicly-available data. https://youtu.be/6vDedpF0lfg
Mon 15 Mar, 4:00-5:00pm Todd Feathers, Freelance reporter Algorithmic fairness in universities. (jointly hosted with Maryclare Griffin) https://youtu.be/Hw5viOofnC0
Thu 18 Mar, 4:30-5:30pm Sofia Ruiz Suarez, National University of Comahue Animal tracking data. https://youtu.be/GMi5nLl4wos
Thu 25 Mar, 4:30-5:30pm Alex Cookson, Muse The power of great datasets. https://youtu.be/E2aRKZczqKY
Thu 1 Apr, 4:30-5:30pm Vik Pant, Natural Resources Canada Integrating science & policy through DS & AI. -
Thu 8 Apr, 4:30-5:30pm Faria Khandaker, University of Toronto ’Mining Process Models from Email Data. https://youtu.be/2M32PbclTnE
Thu 15 Apr, 4:30-5:30pm Emily A. Sellars, Yale University Data issues in Mexican demographic history.
Thu 22 Apr, 4:30-5:30pm Aimee Schwab-McCoy, Creighton University, Ashley Juavinett, UC San Diego, Chris Papalia, St. Andrew’s College, Samantha-Jo Caetano, University of Toronto Panel on teaching data-focused topics.

Fall 2020

Thanks to Hidaya Ismail for the brilliant maple leaf and dinosaur hex stickers.

Date (Toronto time) Speaker Topic Recording
Thu, 3 Sep, 4-5pm Erik Drysdale (The Hospital for Sick Children) Using hospital data
Tue, 8 Sep, 3:30-4:30pm Sophie Bennett (Industry data scientist) UK A levels algorithm issues (jointly hosted with SRI)
Thu, 10 Sep, 4-5pm A Mahfouz, Diego Mamanche Castellanos, Hidaya Ismail, Ke-Li Chiu & Paul Hodgetts (University of Toronto) Various R packages and research developed by students
Thu, 17 Sep, 4-5pm Amber Simpson (Queen’s University) Cancer and AI
Thu, 24 Sep, 4-5pm Chelsea Parlett-Pelleriti (Chapman University) Talking to non-statisticians about statistics
Thu, 1 Oct, 4-5pm Florence Vallée-Dubois (Université de Montréal) Canadian demographics by riding (1991-2015)
Thu, 8 Oct, 4-5pm Yim Register (University of Washington Data Lab) Self-advocacy within machine learning systems
Thu, 22 Oct, 4-5pm Jeff Waldman, Leanne Trimble, Leslie Barnes, & Lisa Strug (University of Toronto) Panel on data-focused resources at U of T
Thu, 29 Oct, 4-5pm Fei Chiang (McMaster University) Data currency and applications
Thu, 5 Nov, 4-5pm Andrew Whitby (Industry data scientist) Censuses
Mon, 9 Nov, 4-5pm Tom Cardoso (Globe and Mail) Bias Behind Bars
Thu, 12 Nov, 4-5pm Kevin Armstrong (University of Toronto) Measuring poverty for NGOs
Thu, 19 Nov, 4-5pm Michael Chong (University of Toronto) High-throughput Bayesian modelling workflow https://youtu.be/xM1vf_KT76g
Thu, 26 Nov, 4-5pm Postponed
Thu, 3 Dec, 5-6pm Monica Alexander (University of Toronto) Using Facebook advertising data to estimate migration https://youtu.be/xM1vf_KT76g
Thu, 10 Dec, 4-5pm Shabrina Mardevi (United Nations Population Fund & University of Toronto) & Romesh Silva (United Nations Population Fund) Population data estimation https://youtu.be/kfmKusnGDLI
Thu, 17 Dec, 4-5pm Liza Bolton (University of Toronto), Maria Tackett (Duke University), Nathalie Moon (University of Toronto), Teon Brooks (Mozilla Firefox) Panel on teaching data-focused topics https://youtu.be/c3R6pZisvm0

Summer 2020

Winter 2020

Fall 2019

If you would like to receive invitations to the series, then you can subscribe here.