Journal Guide

Digital Applications in Archaeology and Cultural Heritage (DAACH) is an on-line, peer-reviewed journal in which scholars can publish 3D digital models of the world's cultural heritage sites, monuments, and palaeoanthropological remains accompanied by associated academic articles.The journal aims both to preserve digital cultural heritage models and to provide access to them for the scholarly community to facilitate the academic debate. DAACH offers scholars the opportunity of publishing their models online with full interactivity so that users can explore them at will. It is unique in that its focus is on the application of 3D modeling to cultural heritage. DAACH will provide full peer-review for all 3D models, not just the text, 2D renderings or video fly-throughs, and requires all models to be accompanied by metadata, documentation, and a related article, explaining the history of the subject and its state of preservation, as well as an account of the modeling project itself. The journal focuses on scholarship that either promotes the application of 3D technologies to the fields of archaeology, art and architectural history, and palaeoanthropology or uses 3D technology to make a significant contribution to the study of built structures, works of art or palaeoanthropological remains.Digital Applications in Archaeology and Cultural Heritage will also consider papers dealing with processing of digital data acquired by geophysical prospection in archaeological sites (eg applications of 3D or 2D mapping of buried monuments), digital signals from luminescence measurements, multispectral imaging techniques and processing of atomic force microscopic data applied to archaeomaterials.The provision of a 3D model is not compulsory for an article to be published in this journal.

Digital biomarkers are defined as objective, quantifiable physiological and behavioral data that are collected and measured by means of digital devices such as portables, wearables, implantables, or digestibles. The data collected are typically used to explain, influence, and/or predict health-related outcomes. Digital biomarkers also represent an opportunity to capture clinically meaningful, objective data.
Multidisciplinary by design, this innovative open-access journal bridges the disciplines of computer science, engineering, biomedicine, regulatory science, and informatics. The editorial board includes leaders from academia, life sciences, technology, and government, thus reflecting the broad scope of the journal. Papers are published within 60 days of submission, and the inclusion of videos or other visual materials is supported. Moreover, Digital Biomarkers provides and supports access to data, algorithms, and app repositories linked to the articles published in the journal.

Digital Creativity is a major peer-reviewed journal at the intersection of the creative arts and digital technologies. It publishes articles of interest to those involved in the practical task and theoretical aspects of making or using digital media in creative contexts. By the term 'creative arts' we include such disciplines as fine art, graphic design, illustration, photography, printmaking, sculpture, 3D design, interaction design, product design, textile and fashion design, film making, animation, games design, music, dance, drama, creative writing, poetry, interior design, architecture, and urban design. The following list, while not exhaustive, indicates a range of topics that fall within the scope of the journal: New insights through the use of digital media in the creative process The relationships between practice, research and technologyThe design and making of digital artefacts and environmentsDigital based media in the learning of arts and designInteraction relationships between digital media and audience / publicAspects of digital media and storytellingTheoretical conceptsPeer Review Policy:All research articles published in this journal have undergone rigorous peer review, based on initial editor screening and refereeing by at least two referees.Disclaimer for scientific, technical and social science publications:Taylor & Francis makes every effort to ensure the accuracy of all the information (the 8220;Content8221;) contained in its publications. However, Taylor & Francis and its agents and licensors make no representations or warranties whatsoever as to the accuracy, completeness or suitability for any purpose of the Content and disclaim all such representations and warranties whether express or implied to the maximum extent permitted by law. Any views expressed in this publication are the views of the authors and are not the views of Taylor & Francis.

Digital Discovery welcomes both experimental and computational work on all topics related to the acceleration of discovery such as screening, robotics, databases and advanced data analytics, broadly defined, but anchored in chemistry. The journal welcomes Artificial intelligence and data science methodologies for chemical, materials science, biochemical, biomedical or biophysical sciences including Computer-assisted retrosynthesis, Generative models for scientific design, Machine learning classification and regression models, Modern molecular, materials, and biological representations, Methods for Bayesian optimization and design of experiments, Advances and applications of interpretable models, Image recognition, Natural language processing, Literature mining tools, Advanced data workflows, Advances in robotics for science, Experimental control software, Databases, New robotic setups, New automated sensors, Novel synthetic methodologies and workflows, High-throughput computational science, Directed or accelerated evolution, DNA Encoded Library Technology, Cryptochemistry, and Blockchain-enabled science.