Throughout our lives we create, consume and accumulate information. And then we die. But what happens – and what should happen – to our information after our death? This question is very complex and thus increasingly intriguing to researchers, but different groups of stakeholders have different values and interests that would shape a potential answer.
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This study reveals the transformational potential of artificial intelligence (AI) in reshaping energy management. The extensive analysis explores the major trends, ethical considerations, regulatory ramifications, and predicted changes. The findings highlight AI’s critical role in enhancing efficiency, sustainability, and resilience in energy systems. Recommendations for stakeholders and policymakers emphasise research funding, ethical deployment, and international collaboration. The study provides a road map for integrating AI for a sustainable and resilient energy future.
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In recent decades, numerous countries have actively promoted and encouraged interdisciplinary research (hereafter IDR), as it is believed to promote scientific development and innovation. Recent studies have shown that interdisciplinary publications tend to attract more citations and gain higher societal visibility, thus potentially contributing to long-term career development. However, pursuing IDR requires significant time and effort to integrate knowledge from diverse disciplines, and such research may face difficulties in terms of publication and recognition compared to more traditional research. The high risk and uncertainty associated with IDR discouraged many ECSs that are facing “up or out” pressure.
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An emerging class of online celebrities—knowledge celebrities—who sell self-created knowledge products on online platforms has become prevalent in recent years. As with conventional online celebrities globally and locally, knowledge celebrities make themselves appealing to a sizable following and further capitalize on such an advantage to earn money.
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Lewis Carroll’s works serve as a compelling testament to the intrinsic value of images as a fundamental component of communication and storytelling. These artistic interpretations not only complement words but also elevate the narrative, enabling readers to step into a world where the boundaries between reality and imagination blur.
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The emergence of generative AI and Large Language Models (LLMs) has sparked heated discussions around their ethical usage. The stakes are higher when it comes to the ethical use of generative AI in high schools. High schoolers are the next generation’s decision-makers, and educating them on ethical generative AI use in academia is crucial.
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AI is a critical tool in addressing complex global issues, including climate change, by analyzing vast datasets and modeling potential solutions. However, this journey towards harnessing AI’s potential is accompanied by a pressing concern: the proliferation of misinformation generated by AI systems, such as fabricating references by ChatGPT.
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Managing traditional cultural expressions (TCEs) within library settings can be cumbersome for any librarian, and is especially challenging for those lacking adequate training to handle the complex legal and ethical issues involved in collection development and managing collections including TCEs. Below, we explore intersections between TCEs and librarianship, including current issues and potential remedies within LIS education.
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For many people, tattoos are a powerful and beautiful way to adorn the body and express identity, memory, ideas or artistic preferences. For some, tattoos are symbols of trauma and regret. Whether tattoos simply decorate the body or carry a deeper meaning, information is created, captured and communicated through tattoo images and during the tattooing process. Researchers at Victoria University of Wellington in New Zealand have been exploring the informational aspect of tattoos in a project called Tattoo and Information. We interviewed 25 New Zealanders of diverse profiles. Here is what we know so far.
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Information science is well-positioned to lead and critically inform the development of theoretical and technological frameworks that support information integrity and academic integrity. If we agree with the argument that generative AI tools and technologies share such high-level facets as people, information, data, technology, and their interaction with information science, then it is our responsibility to embrace the opportunities and address the emerging informational, social, ethical, and cultural challenges.
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