In this free webinar, our panellists will discuss their experiences of reusing data. We will explore the importance of data quality and AI-ready data, as well as touch on the benefits of reusing data and how to properly acknowledge and give credit to the data generators.
Register for free
Tuesday 17 November 2026, 3 pm (GMT)
Speakers
Kathryn Cowtan, Professor of Chemistry, University of York, UK
Kathryn is an interdisciplinary data scientist working at York Structural Biology Laboratory. She developed software for key steps in the solution of molecular structures from X-ray crystallography data and cryo-electron microscopy. In the last decade Kathryn has also become interested in data analysis problems in climate science. In addition to working with the UK Met Office and other organizations on historical observations and climate model outputs, she has also worked with psychologists and social scientists on understanding and responding to the motivated rejection of climate science. Recently Kathryn has developed a postgraduate taught programme in data science with major emphasis on reducing barriers to participation, especially in the areas of gender and neurodiversity.
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Merck KGaA Darmstadt Germany is a leading science and technology company with a broad portfolio across life science, healthcare, and electronics. Through SYNTHIA® Retrosynthesis Software, Merck helps chemists accelerate route design, explore novel synthetic pathways, and make more informed decisions in chemical research. Expert-coded by chemists and engineered by computer scientists, SYNTHIA® supports faster, smarter, and more efficient synthesis planning for both new and published target molecules.
About ChemSpider
Explore more than 138 million structures on the ChemSpider database. Including over 200 data sources, ChemSpider is a valuable source of information for chemical scientists working with data.
Freely accessible and comprehensive, this rich source of structure-based chemistry information is a fundamental resource for chemical scientists working with data everywhere.
