Translation - Information Matters

October 4, 2024 Najeem Olawale Adelakun

Integrating Artificial Intelligence with Information Technology to Enhance Lecture Delivery in Tertiary Institutions

The adoption of advanced technologies has become a crucial factor in the pedagogical transformation of today’s educational environment. As tertiary institutions strive to enhance lecture delivery mechanisms, artificial intelligence (AI) presents a revolutionary paradigm that extends beyond traditional instructional methods. The increasing reliance on digital tools necessitates a fresh examination of how AI can optimise the learning experience by offering personalised content and real-time feedback to facilitate deeper engagement.

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July 25, 2024 Christopher Lueg

Educated Perception: How What We See is Shaped by What We Know (and What We Can Do About It)

An old adage, often attributed to French writer Anaïs Nin, suggests we don’t see things as they are we see things as we are. Using deceptively simple words, the saying suggests that seeing is not just a process where wavelengths are converted to electric impulses that are then processed by the brain in mysterious ways to create what we then believe to see but rather that seeing, to some significant extent, is also a socially shaped and conditioned process, which is why it is relevant to information behavior research.

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July 9, 2024 Siyao Cheng

Generative AI and Copyright Laws: Bridging the Divide

One of the concerns is that Generative AI’s output in response to user prompts often draws from copyrighted works, eliciting a question nowadays: Can the content created by Generative AI qualify for copyright protection itself? Here, we strive to extend our insights into the question.

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July 3, 2024 Boris Menin

Unlocking the Universe: Cutting-Edge Approaches to Discovering Extraterrestrial Life

The enduring human quest to understand if we are alone in the universe has driven the development of the Search for Extraterrestrial Intelligence (SETI) programs. These programs employ a diverse toolkit of techniques aimed at detecting potential technosignatures, or signals indicative of technological activity beyond Earth. Despite these advancements, traditional methods face inherent limitations, particularly regarding the selection of appropriate models to interpret experimental data. Traditional model selection methods often rely on researcher intuition and experience, introducing subjectivity and potential biases. To address these limitations, the Finite Information Quantity (FIQ) approach is presented as an objective solution for model selection. FIQ acknowledges the inherent constraints in information processing capacity within physical systems, providing objective criteria for evaluating different models. By considering comparative uncertainty, FIQ minimizes bias and promotes a more comprehensive understanding of phenomena.

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July 2, 2024 Ola Pilerot

Much of Librarians’ Work Is Invisible, But Do They Want to Conceal What They Do from Us?

Being an expert in information should surely facilitate professional information practices. Librarians are often thought of as experts in searching for information for others, but what about their own ways of finding things out? Given their extensive education in information-related fields, such as information searching and assessment, one might question whether librarians consistently adhere to systematic and planned approaches in their information-seeking, as taught in library schools. Accordingly, we asked 800 Swedish public librarians questions revolving around the kind of information seeking and use they do in their daily work for their own or their work team’s sake.

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July 2, 2024 Niloofar Sohjoo

The Emotional and Informational Lives of More-than-Humans

Living with other species isn’t just about companionship; it involves deep informational connections. Love plays a central role, helping humans and non-human animals understand and care for each other. It helps create meaningful information through daily interactions. Misunderstanding these connections can lead to problems, especially for the animals who have less power in this relationship.

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June 12, 2024 Irene Lopatovska

Take Care of Yourself

Studies show an increase in pandemic and post-pandemic burnout caused by transition to new teaching or research modes, increased emotional labor required to support students, colleagues and families, uncertain work conditions, unbalanced research, teaching and service expectations, and other factors (Dali et al., 2023; Douglas et al., 2022; Harris, et al., 2024; McClure & Fryar, 2022). During the recent iConference’24, we organized a panel to share faculty’s post-pandemic experiences and identify strategies for improving faculty mental health and well-being.

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June 11, 2024 Rebekah Willson

Fail Club: Reflections on What Happens When Research Does Not Go To Plan

Failure in research remains a taboo topic for many academics and students. The pressure to be the perfect researcher can make discussing failure with peers and mentors extremely difficult, if not impossible. Academic publishing – not unreasonably – tends to favor the publication of “successful” research. The resulting culture of silence around failure often extends beyond complete failures, leading to the avoidance of discussing what did not go well or what could have gone better in any meaningful way. What opportunities are being missed by not having conversations about failure?

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June 6, 2024 Boris Menin

Navigating Uncertainty: The Finite Information Quantity Approach to Objective Model Selection in Physics

Accurate measurements of physical processes are essential for scientific research and technological advancement. From subatomic particles to celestial bodies, precise measurements underpin our understanding of the universe and drive innovation. However, selecting the right mathematical model to interpret experimental data can be challenging due to the complexities of real-world phenomena. Traditional model selection methods often rely on researcher intuition and experience, leading to subjectivity and potential biases. In this article, we explore the Finite Information Quantity (FIQ) approach—a novel solution that addresses these limitations.