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AI can move quickly, but trust depends on what sits behind the answer. Through collaboration with publishers, societies, and data providers, Elsevier’s AI solutions connect users to high-quality scientific and medical knowledge, with attribution and citations that trace insights back to original sources. See how content partnerships support responsible AI: http://spkl.io/60427DmxC
June marked Pride Month 🌈, a global celebration that uplifts the voices of the LGBTQIA+ community. This year’s theme was “United in Pride." At Elsevier, we celebrated the shared experiences that shape how we work and foster a culture of belonging. Colleagues brought our value of inclusion to life through ERGs, supportive leadership, inclusive policies and meaningful connections, showing that when people feel seen, supported and valued, everyone can contribute their best. Read our colleagues’ inspiring stories: https://bit.ly/4v12pfh
🏆 Big news from us at Elsevier. We're pleased to announce that Elsevier Mexico has officially been certified as a Great Place to Work®. This recognition is based on direct, confidential feedback from us, the employees, measuring the trust, pride, and camaraderie they experience every day. To my colleagues, you made this happen. Your voices, your commitment, and the culture you show up to build every single day are what this certification reflects. We believe that a great workplace leads to great work, and great work helps us to advance human progress together. We're growing our teams. If you want to be part of a great team, we're hiring. Join us. Explore our open roles and find where you fit. 👉https://bit.ly/3R6NMJy
LeapSpace™, the research-grade AI workspace, introduces new agentic capabilities for tasks across the complete research workflow. New: Writing Coach, Claim Radar, Compare Tables, Extended File Upload and Reference Export. Together, they help researchers draft and refine their work, compare evidence across studies, assess claims against the literature, bring their documents into LeapSpace and export references directly into documents. General-purpose AI tools can generate text, summarize articles and automate some tasks. But researchers require more: trusted peer-reviewed content, verifiable citations, transparent reasoning, research integrity safeguards, and enterprise-grade security and privacy. That is what LeapSpace is built for. LeapSpace draws on 20+ million full-text peer-reviewed articles and books from Elsevier and over 1,000 new content licensing partners plus 100+ million scientific records from 7,000+ publishers on Scopus. Results are grounded in peer-reviewed literature, citations are traceable to sources, and Trust Cards help researchers calibrate the strength of evidence. Researchers remain in control. Learn more and try LeapSpace: http://spkl.io/60467ECrI
We're proud to share that Elsevier India has been officially re-certified as a Great Place to Work®, a recognition that belongs to every single person on our team in India. 🇮🇳 This certification is earned through their voices, through trust, inclusion, and a shared belief that work should be meaningful. Year after year, our team shows up for each other and for the mission we believe in: advancing human progress together and the best part? We're hiring! If you're looking to do meaningful work in an environment that invests in you, we'd love you to join us. Explore open roles across our India offices: 👉 http://spkl.io/604671RZC
Most AI tools don't include peer-reviewed content. LeapSpace does. General-purpose AI is powerful. However, for researchers, "powerful" isn't enough. They need answers that are explainable. Traceable. Built on science that's been scrutinised by the world's brightest minds. LeapSpace combines: • Multi-model responsible AI with clear trust markers • Publisher-neutral content from leading publishers and scholarly societies • Industrial-grade data privacy and security • Over 100 million academic records, and growing Now, we're hiring more great people to help advance human progress. If you're a technologist, researcher, product leader, or data scientist who wants to shape how the world does research, we'd love to hear from you. Join us. 🔗 https://bit.ly/4e5wJ3j Explore Elsevier careers: 🔗 elsevier.com/about/careers
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/60447D6DY
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/60487D6BO
How do you turn uncertainty into a safe next step? For NHS 24 clinicians and call handlers, every call means guiding people to the right care, quickly, consistently, and with confidence. It is a challenge increasingly familiar across healthcare, research, and innovation: professionals are expected to act faster while navigating growing complexity. Read how NHS 24 and Elsevier are combining trusted knowledge, AI-supported reasoning, and expert assessment: http://spkl.io/60447EtAj
Elsevier has launched Shadow Health Lab with Virtual Reality — a clinical simulation solution designed to help nursing students build confidence and clinical judgment before they enter practice. The platform brings together more than 165 evidence-based lab simulations and 30 virtual reality patient encounters, each supported by structured preparation, facilitation and debriefing tools. Students can engage with a wide range of conditions and patient needs — in an immersive environment that mirrors the complexity of real clinical settings. The need is clear. Our Clinician of the Future 2026: Nurses Edition found that 61% of nurses are seeing more patients than a year ago, while increasing patient volumes, administration and complexity are squeezing time for care. Training that builds prioritization, decision-making and communication skills before graduation has never been more important. Shadow Health Lab with Virtual Reality is now available to undergraduate nursing programs. Learn more: http://spkl.io/604978ZQF
