How new AI tools and open access rules change scientific research in 2024

Scientists are moving away from private research. New data shows journals now do 73 different tasks to check facts, which is more than ever before.

The way scientists work and share their findings is undergoing a major shift. This change is not happening in just one country or one field; it is a global movement affecting how research is funded, written, and read. New data suggests that the old ways of working in isolated groups are being replaced by open sharing and the use of smart technology. The pressure to adapt is high, as the speed of discovery increases. Investigators are now looking at whether traditional systems, like scientific journals and university departments, can keep up with these fast-paced movements. At the center of this shift is the balance between new technology and the basic rules of honest research.

The Movement Toward Open and Connected Science

The records show a clear timeline of change starting in late 2023 and continuing into late 2024. During this period, several key groups—including university researchers, corporate scientists, and journal publishers—have changed their standard practices.

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  • August 2023: Discussions began regarding "game changers" in technology, specifically how Artificial Intelligence (AI) might bring back the "generalist scientist" who knows a little bit about many different areas.

  • November 2023: Research published in PMC emphasized that "Open Science" and "Open Access" are no longer optional. They are now essential for research to have an impact.

  • October 2024: New reports on scientific journals identified up to 73 specific tasks that publishers now perform, showing that their role is becoming more complex as they try to manage the flood of new data.

"Breakthrough innovation is often happening when transferring key insights from one field to another." — ScienceDirect Analysis

Comparison of Research Shifts

Focus AreaTraditional MethodModern MethodCore Driver
AccessPaid subscriptionsOpen AccessPolicy changes & public funding
TeamworkSingle-subject focusMulti-field (Interdisciplinary)Complex global problems
TechnologyManual data analysisAI & Machine LearningHigh data availability
PublishingPrint-centric journalsDigital-first platformsSpeed of communication

The core signal is that science is moving away from private, slow processes toward a model that is open, fast, and works across many different subjects at once.

Deep Dive: The Digital and Social Shift

The Role of Artificial Intelligence

Data from ScienceDirect suggests that AI is a primary "game changer." Instead of scientists focusing only on one tiny niche, AI tools allow them to process information from many fields. This could lead to a "renaissance" of the generalist, where a single researcher uses technology to understand connections that were previously too difficult to see.

Open Access and Policy Impact

According to the PMC report, institutions are now being judged by how well they follow Open Access policies. This means research is often free for the public to read. The investigation into these policies asks a vital question: Does making research free actually lead to better science, or does it simply increase the amount of low-quality information available?

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Multi-Field Centers

Universities are no longer just building "Chemistry" or "Physics" buildings. Instead, they are creating "Interdisciplinary Centers." As seen in reports from Synthorum, these centers are designed to solve problems that one field cannot handle alone, such as climate change or new medical treatments. This shift requires scientists to learn new ways of speaking to colleagues from different backgrounds.

Evolving Rules for Journals

The role of scientific journals is being questioned. A report on PubMed from October 2024 suggests that publishers now do between 60 and 73 different tasks to ensure research is correct. This includes checking for ethical issues and managing digital data. As the roles change, some ask: Are these journals still the best way to share news, or are they becoming too slow for the modern world?

Analysis of the Scientific Landscape

Experts in the field of science policy, such as Rocha EAV and Huang CK, suggest that the "landscape" is no longer a flat map but a moving target.

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  • Adaptability: Researchers who cannot change their methods quickly may find it hard to get funding.

  • Ethics: With the rise of AI and fast publishing, the rules for what is "right" and "wrong" in research are being rewritten.

  • Data Usage: While technology is helpful, some studies (like those in ScienceDirect) note that certain breakthroughs are happening even when no new data is used, simply by looking at old information in new ways.

Investigation Findings

The evidence shows that the scientific world is currently in a state of high-speed transition. The main findings are:

  1. Openness is mandatory: Scientific work is moving out from behind "paywalls."

  2. AI is a tool for connection: Technology is being used to bridge the gap between different types of science.

  3. Complexity is rising: The process of checking and publishing research is becoming more difficult for journals to manage.

The next steps for the global scientific community involve creating clearer rules for AI use and ensuring that "Open Science" remains high-quality science. Investigators will continue to monitor whether these changes help solve world problems faster or if they create new risks for the accuracy of information.

Sources Used

  • Indispensable Adaptability: Adjusting to the Rapid Changes of the Scientific World (Nov 2023)

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10668584/Context: Discusses the necessity of Open Science and Open Access policies.

  • Game changers in science and technology - now and beyond (Aug 2023)

https://www.sciencedirect.com/science/article/pii/S0040162523002731Context: Analyzes AI's role in creating generalist scientists and cross-field breakthroughs.

  • Understanding the Modern Scientific Landscape

https://synthorum.com/articles/understanding-modern-scientific-landscape/Context: Covers the growth of multi-field research centers in universities.

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  • Exploring the Landscape of Scientific Research

https://synapseforges.com/articles/scientific-research-insights-and-advancements/Context: Focuses on research methodologies and quantum research.

  • Navigating the Scientific Research Landscape

https://researve.com/articles/navigating-scientific-research-landscape/Context: Breaks down types of research (Basic, Applied, Exploratory) and funding trends.

  • The changing roles of scientific journals (Oct 2024)

https://pubmed.ncbi.nlm.nih.gov/39365063/Context: Lists the dozens of tasks publishers now perform to manage modern research.

Frequently Asked Questions

Q: How does Artificial Intelligence help scientists work across different fields in 2024?
AI tools allow one researcher to process data from many different areas like chemistry and physics at the same time. This helps them find connections that were too hard to see before, making discovery faster.
Q: Why did many universities make open access research mandatory in November 2023?
New policies require research to be free for everyone to read instead of being behind a paywall. This change helps more people use the information to solve global problems like climate change.
Q: What are the 73 tasks that scientific journals must do according to the October 2024 report?
Journals now have to check for ethical problems, manage digital data, and verify if AI was used correctly. This makes their job much more complex than just printing papers.
Q: Why is the generalist scientist returning to the research world in 2024?
Because of AI, scientists no longer have to focus on only one tiny topic. They can use technology to understand many fields at once, which helps them create new inventions faster.