Instant gratification means getting what you want right away, without waiting. Think of ordering food online and having it at your door in minutes, or scrolling through social media for quick likes and laughs. This idea has become a hot topic when talking about younger people: Generation Z (born 1997-2012) and Generation Alpha (born 2013-2025).
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In an era of misinformation, Finland stands out for one simple reason: people trust its information systems. This article explores how ethics, policy, and education combine to make that trust possible, and what other democracies can learn from it.
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When you step into your local public library on a typical afternoon, you might see children and their families gathered for story time, a retiree reading in a corner, or a student hunched over a laptop. But, just as often, librarians encounter a very different scene: a patron in crisis. Public libraries have increasingly become places where people facing houselessness, mental health crises, or other personal struggles turn for help.
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What if artificial intelligence could help us measure how governments make decisions? This article explains KOALA, a new AI-driven framework that turns abstract “policy styles” into measurable indicators, showing how expert knowledge and machine collaboration can make the hidden logic of governance visible.
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We still call it social media, but it hasn’t been social in years. What started as a space for connection and conversation has morphed into something quieter, stickier, and far more behavioral. People don’t open these apps to talk anymore. They open them to scroll. That shift in intent changes everything. I call this new reality Scroll Media.
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Typos, blurry terms, missing details – search engines, such as Bing, Google, and Yahoo, have learnt to recognize and deal with unclear search queries. “Did you mean …?” is a counter-question most of us internet users may have gotten once from these tools after entering a search query. So, these systems have our inaccuracies covered, right? And we can explore the search results and relax? Well, it is not that easy.
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In academia, one of the key criteria for determining whether a research paper is publishable is its novelty. Novelty means that the paper is bringing something new to the table—new ideas, new methods, or new findings that haven’t been seen before. It’s like asking, “Does this paper tell us something we didn’t already know?” But figuring out whether a paper is truly novel can be tricky. Traditionally, experts in the field have been responsible for making such judgements, but even they have their limitations. Another way is to measure the novelty of a study through unusual combinations of references or journals in its bibliography, but this is not always reliable either. So, can we combine the strengths of humans and machines to improve this process?
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Access to equitable and quality healthcare remains one of the foremost global development priorities. Despite numerous medical breakthroughs and advances in health technologies, a significant divide persists between urban and rural populations in terms of healthcare access, delivery, and outcomes.
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Science thrives on innovation, and interdisciplinary research (IDR)—which merges ideas from multiple fields—is often celebrated as a driver of breakthroughs. Nonetheless, a landmark study analyzing over a million journal articles reveals that the benefits of IDR are far from universal. Success hinges on the academic discipline, the effort required to weave ideas together, and how knowledge spreads through the scientific community over time.
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According to Nathan Caplan, scientists and policymakers belong to two distinct communities: the former prioritize conceptual understanding, while the latter emphasize the practical applicability of knowledge. So, how exactly does science shape policy? By analyzing the pathways through which research articles are cited in policy documents, we may uncover the underlying mechanisms of this complex interaction.
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