In the darkness and cold of winter, the only thing we have is each other (and SOUP). While us mortals scuffle through the snow and start the winter semester, a little flying baby has other plans. From the top of the Arts Building a heart-shaped arrow is drawn with chubby little fingers… cupid has struck the Humanities and Social Sciences Library. Suddenly we are pawning over statistics, excel, charts, and more. From this adoration, Love Data Week was born.
Love Data Week is back for 2022!
This year, there is a full week of events catered to all. Whether or not you have been bitten by the love(data) bug, there are introductory workshops, intermediate tutorials, and an exciting panel. Data is for everyone. All workshops are remote, but still a ton of fun.
You can register for individual workshops, or as many of the 11 offered that you want to come to.
A little cupid told us that an exciting event this year is the The Pandora Papers for Data Lovers. This is a panel from the International Consortium of Investigative Journalistsabout the process of working with these papers that expose the shadow financial system that benefits the world’s most rich and powerful. You can register here to attend on February 16th, at 12PM EST.
Wonderful librarians and staff have super worked hard to bring #LoveDataWeek2022 so come, bring friends, and show love <3
Join us for a romantic week with data and maybe even fall in love…
Did you know that the Library offers free online workshops to help with your research?
The Digital Scholarship Hub at the McGill Library is proud to present its Winter 2021 Workshop Schedule. This semester we are offering 31 interactive workshops, and lively discussions on artificial intelligence, research data management, digital scholarship tools, scholarly communications, and more!
From February 8th – 12th the McGill library is hosting Love Data week. We will be offering workshops on data analysis ethics, and much more throughout the week. Take a look at some of our offerings.
“What’s the Deal with Data?”
Monday Feb 8th, 10:00 -11:00 AM EST
Kicking off Love data week, this session will give individuals an introduction to the world of data, including the what, why, where, and how of data. For those who are uncertain about data, and want to start learning something new – includes examples in both standard (like the social sciences) and non-standard fields (such as art).
“#CovidArt: Bridging the Gap Between Science, Art, and the Public”
Thursday, Feb 11th, 10:00 am to 11am
In the summer of 2020, Récherche Québec launched an initiative that asked artists and researchers to collaborate on an art project under the hashtag #covidart. Artist Shelley Miller and epidemiologist Joanna Merckx worked together on Graphic/Graphique, a mural that uses data to visualize how the different Montreal boroughs were affected by the first wave of COVID-19. Join them for a conversation about their project, data use for art, alternative ways of disseminating data, and the intersection between STEM and Art.
“Know your Rights: What to consider before you submit to a journal and sign a copyright transfer agreement”
Tuesday, February 16, 12:00- 1:30 PM EST
This workshop will engage in practical, hands-on exercises to review the author agreements of major journal publishers. During the session we will look at actual copyright transfer agreements and publisher policies.
At the end of this session participants will be able to: identify and compare copyright transfer agreements between journal publishers, Evaluate journals based on their author rights agreements, and describe which author rights are retained/transferred in these agreements. If you’ve published (or are planning to publish soon), please bring along any relevant examples from your own experience.
“Keeping up with Artificial Intelligence: AI Ethics & Bias”
Tuesday, March 23rd, 2:30-4:30 PM EST
This presentation aims to cover some of the core issues surrounding the ethical debate with AI, open up discussions about how to overcome these issues, and broaden our understanding of the technology. Participants will delve into case studies for biased AI, promote ethical solutions for AI development, evaluate the privacy concerns of AI in everyday use and navigate the current landscape of AI policies.
*Note that this workshop will not discuss the mechanics of AI, but rather its implications on society.
