Elsevier
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Elsevier is a global information analytics business that helps institutions and professionals progress science, advance healthcare and improve performance for the benefit of humanity.
Elsevier has been ranked #1 on Comparably’s Best Product & Design Teams 2026 list. 🏆
Our teams are building products that shape how the world’s researchers, clinicians, and scientists discover, use, and share knowledge. That takes craft, vision, and people who genuinely care about what they make.
This recognition belongs to every designer, product manager, researcher, and engineer who shows up for purposeful work every day.
If you want to do the best work of your career, and work that matters, we’d love for you to join us.
👉 We’re hiring: http://spkl.io/61867DLmk
Award information: http://spkl.io/61877DLmZ
Fast answers built on a shallow evidence base do not solve the bias problem. They reproduce it faster.
As AI becomes part of research and decision-making, the quality of the underlying evidence matters as much as the capability of the model.
Better decisions require broader evidence, trusted sources, and insights that can be traced back to where they came from.
Read more: http://spkl.io/61857D6Dl
🎓 Access is the mission: why higher education must reclaim its role as an engine of opportunity.
What happens when rising costs, growing inequality and shrinking opportunities threaten one of society’s most powerful tools for social mobility?
In this thought-provoking piece for Not Alone: Leaders in Focus, Marc B. Parlange, President of the University of Rhode Island, argues that access to higher education is not simply an educational issue — it is an economic and societal imperative.
Drawing on URI’s land-grant mission and the success of its nationally recognised Talent Development Program, Dr. Parlange explores how universities can help close widening opportunity gaps by expanding access, increasing affordability and providing the support students need to succeed.
From addressing workforce shortages and strengthening social mobility to redefining how institutional success is measured, he makes a compelling case that excellence and access must go hand in hand.
📌 Key takeaways:
🔹 Higher education remains one of the strongest drivers of upward mobility, but financial barriers are placing it out of reach for many students
🔹 Access alone is not enough — students also need mentorship, academic support and clear pathways to graduation
🔹 Institutional success should be measured by student outcomes, social mobility and public impact, not exclusivity
🔹 Strong partnerships, flexible pathways and affordable education can help broaden opportunity without lowering standards
🔹 Expanding access to education is essential to addressing workforce shortages and strengthening communities
As the article highlights, the United States does not lack talent — it lacks pathways that reach it. The challenge for higher education is not maintaining excellence, but ensuring more students have the opportunity to achieve it.
📖 👉 Read the full article: http://spkl.io/61807Dmiy
Sign up for the Not Alone newsletter: http://spkl.io/61817DmiJ
06/16/2026
📢 Elsevier has updated its generative AI policy for journals.
As AI tools become increasingly common across research and publishing, clear guidance is essential.
Our updated generative AI policies provide practical guidance on how AI can be used to support manuscript preparation while maintaining the standards that underpin trust in scholarly communication.
Research integrity, transparency, and human accountability remain at the heart of the publishing process.
Read our generative AI policies for journals: http://spkl.io/618178hIS
Elsevier has launched an Ebola Information Center to support the global response to the Bundibugyo virus outbreak in the Democratic Republic of Congo and Uganda.
The center provides healthcare professionals, researchers, policymakers and the public with free access to clinical guidance, peer-reviewed research, early-stage findings, datasets and AI-assisted research tools.
Resources include the Ebola Healthcare Hub, ScienceDirect research content, The Lancet and Cell Press Ebola collections, the SSRN Ebola Hub, Mendeley Data and access to LeapSpace, with new content added as evidence emerges.
Learn more: http://spkl.io/61827Dkh8
The future we build could depend on research we don’t read.
Basil Mahfouz’s work highlights a striking gap: roughly two-thirds of science flagged as highly relevant to policy is never cited. Not because it is weak, but because it is invisible.
As AI changes how evidence is discovered and used, the question is not only whether it can summarize research. It is whether it can help widen the field of view.
Read more: http://spkl.io/61877D6B3
After the full-scale invasion in Kharkiv, Ukraine, mobility researcher Andrii Galkin and colleagues wanted to know: can cities transform transit systems to help protect civilians during drone strikes and missile attacks?
In a recent study from the Beketova National University of Urban Economy in Kharkiv and the University of Antwerp, the researchers developed “passafeguard,” a framework that measures whether passengers can realistically reach nearby shelters within the minutes different threats allow.
“Public transport is usually planned around mobility, efficiency, and accessibility. In conflict zones, however, it must also be planned around protection,” says Galkin.
“Our ‘passafeguard’ framework treats transit stops as critical civil-protection nodes,” he says. “Using spatial analysis, we show where protective accessibility is insufficient and where targeted investments in shelters, reinforced stops, metro access, or adapted dual-purpose infrastructure are most urgently needed.”
: http://spkl.io/618278lha
What does it feel like to work on something that genuinely matters? At Elsevier, that's the daily reality for thousands of people across our global teams.
We built LeapSpace because researchers told us something striking: only 22% of them trust the general-purpose AI tools currently available. With 86% warning that AI can cause critical errors, the stakes couldn't be higher.
LeapSpace was built together with the research community, helping researchers uncover deeper insights, accelerate innovation, and collaborate seamlessly in one secure environment.
Feel like that's the kind of work you want to be part of? We're hiring across functions right now.
Join us or tag someone who'd thrive in a mission-driven environment like ours.
Explore our open roles: http://spkl.io/618378ZLf
Check out the latest episode of Elsevier’s Not Alone: Leaders in Conversation podcast. 🎧
In this thought-provoking episode, host Rafael Bras sits down with Dr. Lily Kong — President of Singapore Management University, Lee Kong Chian Chair Professor of Social Sciences, distinguished social scientist, and one of Asia’s most influential voices in higher education leadership.
Drawing on her personal journey alongside Singapore’s transformation since independence, Dr. Lily Kong reflects on the power of education as a national strategy, the challenges of leadership as a woman in academia, and the evolving role of universities in a rapidly changing society. Together, they explore:
🔹Singapore’s education model and the role of planning in national development
🔹Gender, leadership, and navigating expectations in academia
🔹Causes of trust erosion and ROI pressures
🔹Institutional neutrality and the challenge of ideological polarization
🔹The dangers of rankings-driven university culture, bad metrics and perverse incentives
🔹AI, the humanities, and preserving humanity in learning
🔹Designing universities for lifelong learning and the “100-year life”
👉 Listen now to hear about the future of universities through the lens of Singapore’s model and global headwinds: http://spkl.io/61827BoCQ
Follow Not Alone: Leaders in Conversation on your favorite podcast platform to never miss an episode: http://spkl.io/61837BoCv
For nurses, trust in AI starts with the basics.
In Clinician of the Future 2026: Nurses Edition, nurses say confidence in AI grows when tools are easy to use, comprehensive, transparent with citations, safe, and built on quality sources.
Read what’s needed to build trust in AI: http://spkl.io/6183ACpgb
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