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.