Our webinars will showcase current and planned initiatives to develop standards and tools, research infrastructures, and developing cultures to support FAIR chemistry data preparation, publication, and reuse, and explore what’s needed to evolve a better future using chemistry data. Our speakers represent the wider chemistry community, with representatives from academia, industry, as well as national and international initiatives.
Webinar 1: AI in chemistry – Watch the recording
Tuesday September 23rd 2025, 3 pm (BST)
Speakers
- Jacob Al-Saleem, Data Science Manager, CAS, USA – SLIDES
- Bea (Birgit) Braun, Research Fellow, Dow Chemical Company, USA – SLIDES
- Garrison Cottrell, Professor for Computer Science and Engineering, University of California San Diego, USA – SLIDES
Click here to find out more about this webinar.
Webinar 2: Data standards in chemistry – Watch the recording
Tuesday October 21st 2025, 3 pm (BST)
Speakers
- Kamil Dziubek, University Assistant, University of Vienna, Austria – SLIDES
- Robert Hanson, Professor of Chemistry, Emeritus, St. Olaf College, USA – SLIDES
- Wendy Patterson, Scientific Director, Beilstein-Institut, Germany – SLIDES
Click here to find out more about this webinar.
Webinar 3: Data management – Watch the recording
Tuesday November 18th 2025, 3 pm (GMT)
Speakers
- Jonathan Hirst, Professor of Computational Chemistry, University of Nottingham, UK – SLIDES
- Oliver Koepler, Head of Lab Linked Scientific Knowledge, TIB – Leibniz Information Centre for Science and Technology, Germany – SLIDES
- Nicolas Triballeau, Director Drug Discovery Chemistry, Revvity Signals, France – SLIDES
Click here to find out more about this webinar.
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Revvity Signals Software delivers AI-enhanced solutions to accelerate R&D workflows and enable data-driven innovation. Trusted by pharma and biotech, our portfolio includes ChemDraw®, Signals Notebook, Signals One, Signals Synergy, Signals Clinical, and Spotfire®, empowering scientists with predictive analytics, seamless collaboration, and interactive visualizations for groundbreaking discoveries.
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About ChemSpider
Explore more than 128 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.
