Algorithms are everywhere, and they have increasing power over what we consume (Amazon, Netflix, TikTok), who we date (“the apps”), and how we understand the world (Google, ChatGPT). So, what are algorithms, and how did they become so powerful? Who are the humans that create them, and why does it matter?

In this workshop, we will explore how algorithms can perpetuate bias and discrimination, and discuss some preventive strategies. It is open to learners of all backgrounds and experience.

Workshop Instructors: Shelby Hallman, Physical Sciences and Engineering Librarian; Ashley Peterson, Research & Instruction Librarian, Media and Data Literacy; Alexandra Solodkaya, Rothman Family Food Studies Librarian

Credits: This workshop was derived from LMU's Rise Against the Machines: Understanding Algorithmic Bias workshop. 

Algorithms are not neutral but this does not mean they are not useful tools for research. In this workshop on algorithmic bias, student learn how algorithms can perpetuate bias and discrimination and how to critically evaluate their search results.

We use Google every day, but we do really understand why we get certain results? This event will explain what an algorithm is, how search engines use them, and how bias exists in our search results. Attendees will have a chance to reflect on the ways biased results can echo larger biases for representation in society.  Access this site at your convenience at: https://jmu.libwizard.com/f/algorithms-bias

Co-creators: Malia Willey and Alyssa Young.

This 30-minute activity demonstrates how to search in Google Scholar and explains how results are ranked. It requires students to explore Google Scholar and encourages students to reflect on potential biases this tool might have in regards to research. This lesson plan was Part 2 of an hour-long workshop that also included a 30 minute search engine algorithmic bias lesson. Please see Elisa Slater Acosta's page for part 1: https://www.projectcora.org/assignment/exploring-algorithmic-bias-summer...

This 30-minute activity was a quick introduction to algorithmic bias and the importance of critically evaluating search engine results. Algorithms increasingly shape modern life and can perpetuate bias and discrimination. In pairs, students analyzed the results from Google Image searches and Google Autocomplete suggestions. This activity was based on “Algorithms of Oppression: How Search Engines Reinforce Racism,” by Safiya Umoja Noble. This lesson plan was Part 1 of an hour-long workshop that also included a 30 minute Google Scholar activity. Please see Jennifer Masanaga's Google Scholar activity for Part 2: https://www.projectcora.org/assignment/exploring-google-scholar-summer-b...

Comment envoyer une minorité d'étudiants surmotivés sur des objectifs pédagogiques intégrés et connexes dont le parcours est structuré ?
1) Faire une courte introduction engageante (15min.)
2) Identifier la minorité surmotivée et leur distribuer un parcours.
3) Assurer une supervision mininal avec un suivi distant et ponctuel au besoin.
Avec 2 exemples de parcours: une auto-initiation en 5 niveaux pour contribuer à Wikipédia; et un programme de 12 semaines pour démarrer un blogue sur un sujet de recherche.

How to get the few really motivated students involved? By asking them to fulfil « side-quests » learning activities in a structured itinerary :
1) Present a short but engaging initiation [sur quoi?] (15 min.) ;
2) After identifying the motivated students, give them a formal checklist [pour quoi?];
3) If needed, provide minimum mentoring and follow-up
Here are two examples : 5-steps self-initiation on how to contribute to Wikipedia and 12-weeks program to start a blog on research topic.

The purpose of this activity is to inspire students to adopt structured methods when they explore and retrieve information. It is based on lab notebooking methods and on managing and documenting the flow of references in Zotero, a reference management software.

The first principle is based on a tree of collections to manage the references arriving in the Zotero library. Some basic methods are suggested and the students are invited to create their own. The second principle is based on standalone notes to document all the research process through online database, libraries and experts.