Featured - Information Matters

Two students complete the same business degree, take similar courses, and earn comparable grades. One graduates with a Bloomberg certification and fluency in an industry-standard financial database. The other has never logged into a professional data platform. One has the opportunity to compete in a case competition using financial market information to build professional information literacy, while the other is excluded based on lack of database access. The difference comes down to the funding capacity and priorities of the institution they attended.

February 19, 2026 Patrick Jerry

Speaking the Language of AI

This is the conclusion I’ve come to after witnessing the growing popularity of AI tools. AI is everywhere, despite its propensity to produce misleading or incorrect information, and the moral objections of workers who fear losing their livelihoods. Why do patrons choose AI tools while more reliable (and less controversial) options sit on the shelf?

Featured INFideos

February 17, 2026 Jenna Hartel

An Award-Winning Conference Paper and An Educational Video that Situate Generative AI in Library and Information Science

The paper, “Theorising Notions of Searching, (Re)Sources, and Evaluation in the Light of Generative AI” (Sundin, 2025) won the Best Long Paper Award at the 2025 Conceptions of Library and Information Science (CoLIS) conference in Glasgow, Scotland. For me, reading it sparked a eureka! moment. The author, Olof Sundin, argues that generative AI has a precedent in the European Documentation movement of the early 20th century. In addition to historical insights, the paper analyzes how today’s search systems increasingly provide answers or facts, whereas conventional retrieval tools point information seekers to sources.

Featured Original

February 15, 2026 Nicole Thomas

From Gatekeepers to Guides: Unlocking Information Privilege in the Library Classroom

In my practice, I use Critical Information Literacy as a teaching method to help students understand the power structures that exist behind their sources, in an effort to deconstruct barriers of information. There is considerable value in teaching the complexities of information privilege, especially to undergraduates who are the next generation of researchers and information consumers.

Featured Op/Ed

February 15, 2026 Maria Bonn

SOS: Dismantle Information Privilege to Save our Science

The start of this year’s Open Access Week coincided with No Kings demonstrations that took place around the nation on Oct. 18. I found myself that day, as so many of us did, shoulder to shoulder with friends, family and strangers speaking up for democracy. I was at the Seattle Center, at the foot of the Space Needle in downtown Seattle, in a vast crowd, my attention divided between fired-up speakers, inflatable unicorns, posters with wry comments and a rank of flags for veterans for peace. Amid the crowd was a group of intellectual-looking types, most wearing glasses and lab coats, waving SOS banners: Save Our Science. When I saw the SOS signs, I thought about how difficult it is to protect something we can’t see, how difficult it is to convince people of the value of something that they can’t use.

Featured Original

February 13, 2026 Danielle Allard

Towards Knowledge Justice: Centering Marginalized Community Expertise in Academia

Many Canadian post-secondary institutions currently describe themselves as supporting community-based research, where the work of marginalized community members is valued and integrated into community-based research projects. Our experiences working on sister projects the Sex Work Activist Histories Project (SWAHP) and Eco-systems of Community Research and Recordkeeping (ECRR) have led us to conclude that these institutions in fact often undermine or ignore non-academic knowledges and expertise. University reform is needed to support community-driven research, especially for extremely marginalized communities such as sex workers.

Featured Translation

February 13, 2026 Zhuoren Jiang

Heterogeneous Graphs: A New Language for Understanding and Enhancing the Dynamics of Smart Societies

In modern societies, many of the hardest problems are not “single-point” problems. They are system problems. A rumor jumps across communities in hours. A public service reaches some groups quickly but misses others. Platform risks reappear in new forms even after repeated governance actions. In education, healthcare, and emergency management, we have plenty of data—yet decision-makers still struggle to pinpoint which connections, pathways, and bottlenecks truly drive outcomes. What is missing is often not data, but a way to represent multi-actor, multi-relationship, and multi-context complexity in a form that computers can learn from and humans can interpret. This is where heterogeneous graphs come in.