Tech
A firewall for science: AI tool identifies 1,000 ‘questionable’ journals

A team of computer scientists led by the University of Colorado Boulder has developed a new artificial intelligence platform that automatically seeks out “questionable” scientific journals.
The study, published Aug. 27 in the journal Science Advances, tackles an alarming trend in the world of research.
Daniel Acuña, lead author of the study and associate professor in the Department of Computer Science, gets a reminder of that several times a week in his email inbox: These spam messages come from people who purport to be editors at scientific journals, usually ones Acuña has never heard of, and offer to publish his papers—for a hefty fee.
Such publications are sometimes referred to as “predatory” journals. They target scientists, convincing them to pay hundreds or even thousands of dollars to publish their research without proper vetting.
“There has been a growing effort among scientists and organizations to vet these journals,” Acuña said. “But it’s like whack-a-mole. You catch one, and then another appears, usually from the same company. They just create a new website and come up with a new name.”
His group’s new AI tool automatically screens scientific journals, evaluating their websites and other online data for certain criteria: Do the journals have an editorial board featuring established researchers? Do their websites contain a lot of grammatical errors?
Acuña emphasizes that the tool isn’t perfect. Ultimately, he thinks human experts, not machines, should make the final call on whether a journal is reputable.
But in an era when prominent figures are questioning the legitimacy of science, stopping the spread of questionable publications has become more important than ever before, he said.
“In science, you don’t start from scratch. You build on top of the research of others,” Acuña said. “So if the foundation of that tower crumbles, then the entire thing collapses.”
The shake down
When scientists submit a new study to a reputable publication, that study usually undergoes a practice called peer review. Outside experts read the study and evaluate it for quality—or, at least, that’s the goal.
A growing number of companies have sought to circumvent that process to turn a profit. In 2009, Jeffrey Beall, a librarian at CU Denver, coined the phrase “predatory” journals to describe these publications.
Often, they target researchers outside of the United States and Europe, such as in China, India and Iran—countries where scientific institutions may be young, and the pressure and incentives for researchers to publish are high.
“They will say, ‘If you pay $500 or $1,000, we will review your paper,'” Acuña said. “In reality, they don’t provide any service. They just take the PDF and post it on their website.”
A few different groups have sought to curb the practice. Among them is a nonprofit organization called the Directory of Open Access Journals (DOAJ). Since 2003, volunteers at the DOAJ have flagged thousands of journals as suspicious based on six criteria. (Reputable publications, for example, tend to include a detailed description of their peer review policies on their websites.)
But keeping pace with the spread of those publications has been daunting for humans.
To speed up the process, Acuña and his colleagues turned to AI. The team trained its system using the DOAJ’s data, then asked the AI to sift through a list of nearly 15,200 open-access journals on the internet.
Among those journals, the AI initially flagged more than 1,400 as potentially problematic.
Acuña and his colleagues asked human experts to review a subset of the suspicious journals. The AI made mistakes, according to the humans, flagging an estimated 350 publications as questionable when they were likely legitimate. That still left more than 1,000 journals that the researchers identified as questionable.
“I think this should be used as a helper to prescreen large numbers of journals,” he said. “But human professionals should do the final analysis.”
Acuña added that the researchers didn’t want their system to be a “black box” like some other AI platforms.
“With ChatGPT, for example, you often don’t understand why it’s suggesting something,” Acuña said. “We tried to make ours as interpretable as possible.”
The team discovered, for example, that questionable journals published an unusually high number of articles. They also included authors with a larger number of affiliations than more legitimate journals, and authors who cited their own research, rather than the research of other scientists, to an unusually high level.
The new AI system isn’t publicly accessible, but the researchers hope to make it available to universities and publishing companies soon. Acuña sees the tool as one way that researchers can protect their fields from bad data—what he calls a “firewall for science.”
“As a computer scientist, I often give the example of when a new smartphone comes out,” he said. “We know the phone’s software will have flaws, and we expect bug fixes to come in the future. We should probably do the same with science.”
More information:
Han Zhuang et al, Estimating the predictability of questionable open-access journals, Science Advances (2025). DOI: 10.1126/sciadv.adt2792
Citation:
A firewall for science: AI tool identifies 1,000 ‘questionable’ journals (2025, August 30)
retrieved 30 August 2025
from https://techxplore.com/news/2025-08-firewall-science-ai-tool-journals.html
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Tech
Paper industry could become more energy-efficient with a new measurement method

The pulp and paper industry consumes large amounts of energy. But despite stricter EU requirements for efficiency improvements, there has been no way to measure and compare energy consumption between different companies in a fair way. In collaboration with the Swedish Environmental Protection Agency, researchers at Linköping University, Sweden, now present a solution that has great potential to be used throughout the EU.
“Even if this would contribute to increasing efficiency by one or a few percent only, this involves so much energy that it can make a huge difference,” says Kristina Nyström, Ph.D. student at the Department of Management and Engineering at Linköping University.
Globally, the pulp and paper industry accounts for 4% of energy used by the industrial sector. Through its Industrial Emissions Directive, the EU has set efficiency requirements for the industrial sector to reduce climate impact. An important tool for this is to make comparisons between factories within an industry—so-called benchmarking.
“But this has not been possible in the paper industry, because the mills have been so different that comparable results have not been achieved,” Kristina Nyström explains.
Therefore, the Swedish Environmental Protection Agency, assisted by Linköping University and Chalmers Industriteknik and in consultation with the paper industry, has developed a calculation method to enable comparisons. The method, which is presented in an article published in the journal Applied Energy, has great potential to be used throughout the EU, according to Olof Åkesson, former Swedish Environmental Protection Agency employee, who initiated the project.
The solution is to divide paper production into standardized processes such as actual pulp production, dissolution of purchased pulp, drying of pulp or paper production. These processes are common to enough mills for comparisons to be meaningful. In this way, companies can discover what in their processes works less efficiently compared to others, where improvements can be made and which actions would be most beneficial.
In addition, this method allows for more measures to be included in the energy efficiency efforts. One example is that companies are credited with the residual heat from manufacturing that is used in the surrounding community, such as the heating of homes or greenhouses.
Should this method gain ground, it could contribute to a changed approach to energy efficiency. At present, public agencies’ demands for energy audits often focus on details, which risks significant efficiency measures being overlooked.
“The benefit of making the pulp and paper industry more efficient is that this can reduce the use of fossil fuels and release raw materials, biofuels and electricity for other purposes,” says Åkesson.
With the involvement of researchers, public agencies and companies in the pulp and paper industry, chances are high that the method was designed in a way that is useful in practice. The collaboration between organizations can serve as a model for other industries wanting to develop their own measurement methods, according to Nyström.
Several companies that tested the measurement method have been positive, and it now needs to be spread and tested on a larger scale, the researchers say. The Swedish Environmental Protection Agency is working to develop the model, now also in dialog with public agencies and the pulp and paper industry in Finland.
More information:
Olof Åkesson et al, A calculation method enabling energy benchmarking in the pulp and paper industry: Adopting a methodology that bridge the research–policy implementation gap, Applied Energy (2025). DOI: 10.1016/j.apenergy.2025.126685
Citation:
Paper industry could become more energy-efficient with a new measurement method (2025, October 16)
retrieved 16 October 2025
from https://techxplore.com/news/2025-10-paper-industry-energy-efficient-method.html
This document is subject to copyright. Apart from any fair dealing for the purpose of private study or research, no
part may be reproduced without the written permission. The content is provided for information purposes only.
Tech
Researchers chart path for investors to build a cleaner aviation industry

Cutting planet-warming pollution to near-zero will take more than inventing new clean technologies—it will require changing how the world invests in them. That’s especially true for industries like aviation, where developing and adopting greener solutions is risky and expensive, according to a University of California San Diego commentary piece in Science.
The paper calls for smarter ways of managing investment risk that could help speed up the shift toward cleaner air travel and other hard-to-decarbonize sectors.
“The aviation sector—a fast-growing source of greenhouse gases—illustrates the broader challenge of industrial decarbonization: too little investment in technologies that could yield the biggest climate benefits,” said the paper’s co-author David G. Victor, professor of innovation and public policy at the UC San Diego School of Global Policy and Strategy and co-director of the Deep Decarbonization Initiative.
The piece outlines a new approach that could help guide a coalition of research and development (R&D) programs alongside investors and airlines seeking to deploy new technologies to curb carbon emissions from the aviation industry.
“Despite all the chaos in global geopolitics and climate policies these days, there are large and growing pools of capital willing to take risks on clean technology,” Victor said. “What’s been missing is a framework to guide that capital to the riskiest but most transformative investments.”
He added that investors and research managers tend to focus on familiar, lower-risk projects like next-generation jet engines or recycled-fuel pathways.
“But getting aviation and other hard-to-abate sectors to near-zero emissions means taking on bigger risks with technologies and new lines of business that will be highly disruptive to the existing industry. Investors and airlines need to find smarter ways to encourage and manage these disruptive investments,” Victor said.
In the article, Victor and co-authors call for a more realistic framework to guide both research funding and private investment.
They propose a tool called an Aviation Sustainability Index (ASI)—a quantitative method to assess how different technologies or investments could help decouple emissions from growth in air travel.
The approach is designed to help investors distinguish between projects that only modestly improve efficiency and those that could significantly transform the sector’s climate impact.
The authors note that while roughly $1 trillion is expected to flow into aviation over the next decade, most of that money will simply make aircraft slightly more efficient. Few investors, they argue, have clear incentives to back the kind of breakthrough technologies—such as hydrogen propulsion, advanced aircraft designs, or large-scale sustainable fuel systems—that could substantially reduce emissions.
“Cleaner flight is possible, but it requires changing how we think about both risk and return,” Victor said. “We need new institutions, incentives, and partnerships that reward innovation, not just incrementalism.”
The commentary, written by a multinational team of scholars, also highlights a broader lesson for climate policy: global decarbonization goals such as “net zero by 2050” sound bold and ambitious. But when it becomes clear that they can’t be met, these goals make it harder to focus on the practical steps needed today to drive change in real-world markets.
Ultimately, the paper argues for action that begins now. By developing better tools to evaluate climate-friendly investments and by rewarding companies willing to take calculated risks on breakthrough technologies, governments, investors and industry leaders can accelerate real progress toward decarbonization.
The paper was co-authored by Thomas Conlon of University College Dublin, Philipp Goedeking of Johannes Gutenberg University of Mainz (Germany) and Andreas W. Schäfer of University College London.
More information:
David G. Victor et al, Mobilizing capital and technology for a clean aviation industry, Science (2025). DOI: 10.1126/science.adu2458. www.science.org/doi/10.1126/science.adu2458
Citation:
Researchers chart path for investors to build a cleaner aviation industry (2025, October 16)
retrieved 16 October 2025
from https://techxplore.com/news/2025-10-path-investors-cleaner-aviation-industry.html
This document is subject to copyright. Apart from any fair dealing for the purpose of private study or research, no
part may be reproduced without the written permission. The content is provided for information purposes only.
Tech
Niantic’s Peridot, the Augmented Reality Alien Dog, Is Now a Talking Tour Guide

Imagine you’re walking your dog. It interacts with the world around you—sniffing some things, relieving itself on others. You walk down the Embarcadero in San Francisco on a bright sunny day, and you see the Ferry Building in the distance as you look out into the bay. Your dog turns to you, looks you in the eye, and says, “Did you know this waterfront was blocked by piers and a freeway for 100 years?”
OK now imagine your dog looks like an alien and only you can see it. That’s the vision for a new capability created for the Niantic Labs AR experience Peridot.
Niantic, also the developer of the worldwide AR behemoth Pokémon Go, hopes to build out its vision of extending the metaverse into the real world by giving people the means to augment the space around them with digital artifacts. Peridot is a mobile game that lets users customize and interact with their own little Dots—dog-sized digital companions that appear on your phone’s screen and can look like they’re interacting with the world objects in the view of your camera lens. They’re very cute, and yes, they look a lot like Pokémon. Now, they can talk.
Peridot started as a mobile game in 2022, then got infused with generative AI features. The game has since moved into the hands of Niantic Spatial, a startup created in April that aims to turn geospatial data into an accessible playground for its AR ambitions. Now called Peridot Beyond, it has been enabled in Snap’s Spectacles.
Hume AI, a startup running a large language model that aims to make chatbots seem more empathetic, is now partnering with Niantic Spatial to bring a voice to the Dots on Snap’s Spectacles. The move was initially announced in September, but now it’s ready for the public and will be demonstrated at Snap’s Lens Fest developer event this week.
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