News Cambridge Elements celebrates 1,000th volume


Cambridge University Press has published the 1,000th volume in its Cambridge Elements series, which bridges the gap between books and journal articles. The series has published some of the


world’s most high-profile academics. They include Nudge theorist Cass Sunstein; Noam Chomsky, considered to be the founder of modern linguistics and one of the most cited scholars in modern history, is co-author of a Cambridge Elements in the series on Generative Syntax that will be published during the summer; Michael DeVito, ex-NFL New York Jets player, co- authored an Element in the Philosophy of Religion series, published last month; and a Nobel laureate is currently undergoing peer review. Launched in 2019, Cambridge Elements


are organised into series that are edited by scholars from top research universities, with each Cambridge Element around 40 to 70 pages in length. Cambridge Elements – which now number 180 series covering a diverse range of arts and science subjects from ancient Egypt to molecular oncology – combine the best features of books and journals and are aimed at creating a quick, concise


This Cambridge Element investigates


the extent to which children's economic outcomes in the Global South are dependent on their parents' financial situations. While scholars have estimated levels of intergenerational mobility in many developed countries, fewer estimates are available for developing countries where mobility matters more because of starker differences in living standards. Mandy Hill, Managing Director of


publishing solution for researchers and readers in the fields of academic publishing and scholarly communication. The 1,000th Cambridge Element,


part of the Elements in Development Economics series, is 'Great Gatsby and the Global South – Intergenerational Mobility, Income Inequality, and Development', authored by Diding Sakri, Andy Sumner and Arief Anshory Yusuf. F. Scott Fitzgerald’s The Great


Gatsby describes the rise and fall of millionaire Jay Gatsby who, despite his wealth, is excluded from higher social circles of ‘Old Stock Americans’ due to his poor family background.


Elsevier launches new biology research tool


Elsevier has launched EmBiology, a research tool that visualises a comprehensive landscape of biological relationships, empowering researchers to gain a rapid understanding of disease biology and focus on critical evidence. Powered by the


company's Biology Knowledge Graph, EmBiology draws on a database of multiple sources, including more than 7.2m full-text journal articles from Elsevier and third-party publishers, 34.5m abstracts and 430,000 clinical trials. Researchers working in drug discovery and development will be able to explore biological relationships and concepts to improve drug target and biomarker identification and prioritisation. EmBiology’s data is aimed at enabling more confident decision-making about what targets to pursue


www.researchinformation.info | @researchinfo


and how to modulate the disease process. Sherry Winter, Director of Biology and Biomedical Solutions at Elsevier, said: “Researchers at pharmaceutical companies are faced with the monumental task to uncover insights from overwhelming amounts of information in order to identify new, more effective therapies. Intense competition demands that insights are identified quickly and confidently; researchers need to be equipped with data skills to do that. “EmBiology relieves this


pressure by collating critical disease data into a single place and structuring it in an interactive way. This facilitates evidence- based research decisions for successful projects that ultimately bring novel treatments to patients faster.” EmBiology surfaces


relationship information, including directionality and effect, for subject areas including expression, biomarkers, and regulation. Elsevier automates data curation with customised machine learning (ML) technology that transforms unstructured text into structured information. The resulting knowledge graph includes 1.4m entities connected by 15.7m relationships to enable deep insights from a broad range of literature, with more added weekly, so researchers can be confident they are always viewing the latest concepts and terms. Results are displayed in a Sankey diagram that visually facilitates understanding of disease development, progression, and drug responsiveness, whatever the researchers’ level of data skills. Users can also apply


Academic Publishing at Cambridge University Press, said: “The depth, breadth and nature of the Elements series testify to the value of this new format. Publishing the 1000th Element is a moment for us to reflect on how far this programme has come in a short period, but will also be an opportunity for us to look forwards to what more we can achieve.


The original aim of the Elements series


was to provide a missing link in publishing options and offer greater flexibility in how scholars could communicate and present their work. It is leading the way as one of the very few peer-reviewed, Research Excellence Framework (REF)- and funder- friendly outputs at this length.”


filters to narrow down their research question and rapidly confirm their experimental hypotheses for new drug targets, biomarkers, and drug repurposing projects. “Elsevier has a longstanding


reputation as a leader in managing and disseminating scientific information and classifying life science data,” said Winter. “Our Biology Knowledge Graph has been developed over a period spanning more than 15 years by a team of PhD-level subject matter experts, so the insights it delivers are unparalleled. With EmBiology, we’ve taken care of the technical data side of R&D, so researchers can focus on the science.”


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