Toronto Data Workshop

A weekly hour-long discussion about data collection; data cleaning; and data storage, retrieval, dissemination, and protection in academia and industry. All welcome! Sign up here.

Overview

The Toronto Data Workshop (TDW) brings together researchers from many academic disciplines and industry to collectively consider, collate, share, and disseminate best practices in the critical initial steps in a data science project: data collection; data cleaning; and data storage, retrieval, dissemination, and protection.

All welcome! Sign up here.

The current organising committee is: Faria Khandaker, Kelly Lyons, and Rohan Alexander.

Since Fall 2019, our multidisciplinary workshop has brought together academic and industry participants to share what we do in these crucial, yet little discussed, stages of working with data and share data best practices. 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. Participants come from many fields, including financial tech, digital humanities, and healthcare information, among others.

Anyone is welcome to attend - you don’t need to be affiliated with the university.

We thank Dean Wendy Duff and the Faculty of Information, University of Toronto, for support for this workshop.

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

Location and time

In the Summer Term we will meet Thursdays at 4-5pm (Toronto time) via Zoom. For details and an invitation to attend please get in touch.

Summer 2020 Speakers

• Thursday, 21 May 2020, 4-5pm
  Rohan Alexander (University of Toronto, Information)
  Rohan is a post-doctoral fellow at the Faculty of Information, University of Toronto. He holds a PhD in Economics from the Australian National University. He will talk about getting data from PDFs into R, with an application to the Kenyan census.
• Thursday, 28 May 2020, 4-5pm
  Shiro Kuriwaki (Harvard University, Government)
  Shiro is a Ph.D. Candidate at the Department of Government, Harvard University. His research focuses on democratic representation in American Politics, for instance cast vote records, public opinion, survey methods, and applied statistics more generally. Shiro will bring together best practices for organizing data and code in the social sciences that experts have proposed with some of his own experience. He will propose a project-oriented workflow that adopts a minimal and consistent file organization structure within a single project, using RStudio Projects and GitHub. He will then discuss how to organize multiple projects that share common components, and propose the use of custom R packages to share code and Dataverse to share large datasets. He will use some of his own projects involving the Cooperative Congressional Election Study (CCES), one of the largest political surveys of American Politics, as a demonstration.
  Recording available here.
• Thursday, 4 June 2020, 4-5pm
  Marija Pejcinovska (University of Toronto, Statistical Sciences)
  Marija is a second-year Ph.D. student in Statistics at the University of Toronto. Her research interests are in applied statistics, specifically the application of Bayesian methods to data and modeling challenges that arise in demography, public health, and certain areas of the social sciences. Marija will talk about a current project with the World Health Organization (WHO) focused on estimating global maternal mortality to share her R workflow and the different tools and packages she’s found helpful in the data processing stage. More specifically, she’ll be sharing a few ways of dealing with text and date data in R.
• Thursday, 11 June 2020, 4-5pm
  Harrison Jones (Deloitte)
  Harrison is a Manager at Deloitte in Toronto, where he focuses on data analytics and machine learning in the property & casualty insurance, life insurance, health insurance, pensions, and the public sector. Harrison will talk about using R with actuarial data.
• Thursday, 18 June 2020
  Cancelled in support of the Black Lives Matter movement and to provide an opportunity for reflection and learning.
• Thursday, 25 June 2020, 4-5pm
  A Mahfouz (University of Toronto, Information)
  A is a Master of Information student at the University of Toronto with a background in geography. Their prior work has been largely concerned with data pipelines. A will talk about geographic data cleaning, extracting mappable data from Google Directions API results in Python.
  Slides available here.
• Thursday, 2 July 2020, 4-5pm
  Heather McBrien (University of Toronto, Statistical Sciences)
  Heather just graduated from the Statistics BSc program at the University of Toronto, and is interested in modelling in population health research, particularly using novel data sources to answer questions where traditional data is lacking. Heather will talk about how the data that we collect can bias the results that we obtain and our knowledge of the problem.
  Slides available here.
• Thursday, 9 July 2020, 4-5pm
  Roxanne Chui (University of Toronto, Information)
  Roxanne is an emerging anthropological data science professional. She did her BSc program in Forensic anthropology and worked in the pharmaceutical industry before doing her Masters in data science. She is passionate about excavating context from data for predicting future patterns of human behaviour. Roxanne will talk about an EDA approach to Tokyo AirBnB datasets and pattern discovery in listing prices using R - ‘What do we have here among millions of observations?’
  Slides available here.
• Thursday, 16 July 2020, 4-5pm
  Casey Breen (University of California, Berkeley, Demography)
  Casey is a PhD student in the Demography Department at Berkeley. He previously worked at the Institute for Social Research and Data Innovation, home of IPUMS. Casey will talk about CenSoc, which is a project to link 1940 Census data with Social Security Administration mortality records in the US.
• Thursday, 23 July 2020, 11am-noon
  Marta Kołczyńska (Institute of Political Studies of the Polish Academy of Sciences)
  Marta is an Assistant Professor at the Institute of Political Studies of the Polish Academy of Sciences and a visiting researcher in the Probabilistic Machine Learning Group, Department of Computer Science, Aalto University. Her research interests include comparative analyses of political attitudes and behavior across nations and over time, as well as the methodology of comparative research, in particular cross-national surveys. Marta will talk about cleaning survey data, in particular a project in which she gathers political trust items from different cross-national survey datasets to model time trends, and the tools she has developed to facilitate this work.
• Thursday, 30 July 2020, 4-5pm
  Alex Luscombe (University of Toronto, Criminology and Sociolegal Studies)
  Alexander McClelland (Carleton University, Criminology and Criminal Justice)
  Alex Luscombe is a PhD student in the Centre for Criminology & Sociolegal Studies at the University of Toronto and a Junior Fellow at Massey College. Alexander McClelland is an Assistant Professor at the Institute of Criminology and Criminal Justice, Carleton University. They will talk about Policing the Pandemic, which is a project that was launched on 4 April, 2020, to track and visualize the massive and extraordinary expansions of police power in response to the COVID-19 Pandemic and the unequal patterns of enforcement that may arise as a result.
  Slides available here.
• Thursday, 6 August 2020, 4-5pm
  Sharla Gelfand (Freelance R Developer)
  Sharla is a freelance R developer specializing in enabling easy access to data and replacing manual, redundant processes with ones that are automated, reproducible, and repeatable. They will talk about creativity in R. Slides available here.
• Thursday, 13 August 2020, 4-5pm
  Richard Iannone (R Studio)
  Rich is a Software Engineer at R Studio. Rich will talk about pointblank, which is an R package that allows workflows involving nice and easy data validation in reproducible documents.
• Thursday, 20 August 2020, 4-5pm
  Aije Egwaikhide (IBM)
  Aije Egwaikhide holds a undergraduate degree in Economics and Statistics from the University of Manitoba, and a post-graduate degree in Business Analytics from St. Lawrence College, Kingston. She works at IBM where she is a Lead Data Scientist on the System Enablement group. Aije will talk about preparing data for optical character recognition (OCR).

Winter 2020 Term Speakers

• Noon, Friday, 24 January 2020
  Steven Pimentel (U of T, business intelligence)
• Noon, Friday, 31 January 2020
  Arik Senderovich (U of T, Information)
  
• Noon, Friday, 7 February 2020
  Kathy Chung (U of T, Records of Early English Drama)
• Noon, Friday, 14 February 2020
  Josh Harris (KOHO)
• Noon, Friday, 28 February 2020
  Eugene Joh (St. Michael’s Hospital)
• Noon, Friday, 6 March 2020
  Fatemeh Nargesian (University of Rochester, Computer Science)

Fall 2019 Term Speakers

• Noon, Thursday, 26 September 2019
  Periklis Andritsos (ODAIA & U of T, Information)
  
• Noon, Thursday, 10 October 2019
  Hassan Teimoori (Deloitte, Omnia AI)
  Ludovic Rheault (U of T, Political Science)
• Noon, Wednesday, 16 October 2019
  Lauren Kennedy (Columbia University)
  
• Noon, Thursday, 24 October 2019
  Sharla Gelfand (Freelance R and Shiny developer)
  
• Noon, Thursday, 7 November 2019
  Maria D’Angelo (Delphia)
  Hareem Naveed (Munich Re)
  
• Noon, Thursday, 21 November 2019
  Michelle Alexopoulos (U of T, Economics)
  Paraskevi Massara (U of T, Medicine)

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