Research industry technology company Digital Science reveals the latest winners of its Catalyst Grant award: SciSwipe and SciFlow have each been awarded a grant. An international initiative to develop innovative projects and technologies, the Catalyst Grant offers an award of up to £25,000 or $30,000 for concepts with the potential to transform scientific and academic research. The grant supports ideas at an early stage of development without the need for a complete business or development plan.
Switzerland-based SciSwipe is a data pipeline platform that breaks down complex, large-scale datasets into simple images the public can view and label. Labeled reference sets are a prerequisite for supervised machine learning. Co-founded by Mariëlle van Kooten and Anton Pols, who met at Delft University of Technology (TU Delft) in the Netherlands in 2014, the app helps scientists take academic and industry data and convert it into images that can then be labelled via a crowdsourced mobile-based platform.
SciSwipe converts user actions into sets of labelled data that can be used to train a machine learning algorithm. The trained algorithm can infer new data, harnessing the power of machine learning to predict, prevent or cure disease.
Germany’s SciFlow is a collaborative authoring tool that simplifies writing and publishing workflows for researchers and their institutions. The tool aims to cut down communication time and take away the frustrations of re-formatting multiple manuscript versions and word files. Founded by Dr. Carsten Borchert and Frederik Eichler, who have known each other for more than a decade, the idea stemmed from Eichler’s experience as a student. His frustrations with formatting Word documents brought him to the idea for an easy-to-use text editing tool, which was powerful like LaTeX but easier to use than MS Word. Borchert, meanwhile, was hooked by the idea after experiencing similar frustrations writing and publishing research as a PhD student.
SciFlow’s tool offers instant collaboration in one place, automated formatting and reference management works with drag and drop. The tool currently has over 1,000 active monthly users and four research institutions including Max Planck Society.
For more information, visit: www.digital-science.com
