Meme Data Sprint (postponed)

Call for Participation

Original event date: 17-21 January 2022
New Event Date: April 2022

[As the Omicron variant spreads rapidly and no physical events are allowed in the Netherlands our team decided to postpone the Data Sprint to April 2022. More information will come soon.]

How are memes deployed in times of crisis and collective trauma? Which new affective and political imaginaries emerge from COVID-19 and climate change memes? And how can they invite reflection or incite action on these global issues? We invite you to explore these questions and more in a week-long data sprint at the University of Amsterdam, where you will use innovative digital methods techniques to repurpose social media data from Reddit, Instagram, TikTok, and other platforms and produce new insights into the role of memes in communicating complex ideas related to COVID-19 and climate change. During the sprint, there will be various lectures and tutorials on how to use digital methods tools to scrape, analyze, and visualize data from a variety of platforms. Based on this, we offer several unique subprojects for participants to work on in small groups. 

We invite all interested university or art students, PhDs, and other researchers or lecturers to apply. Please send your CV and a short motivation statement (300-400 words) to info@crisismemes.com. Selected participants will be notified within one week of the application.

Deadline for applications: 23 December 2021, 17:00.
Location: University of Amsterdam (detailed schedule tba)
Date: 17-21 January 2022 
Cost: Free (but travel and accommodations are not compensated)

For more information, write to info@crisismemes.com or visit https://crisismemes.com

The data sprint is part of the project “From Climate Change to COVID-19: Communicating Complexity and Collective Affect through Digital Memes” funded by the Global Digital Culture research priority area of the University of Amsterdam. For a full project description see https://globaldigitalcultures.uva.nl/projects/moyer.html or visit https://globaldigitalcultures.org. For the data sprint, we also collaborate with the Visual Methodologies Collective from the HvA: https://visualmethodologies.org