Stephane Schneider is IT project manager at the Institute for Scientific and Technical Information (INIST-CNRS). INIST has one of the most important collections of scientific publications in Europe and provides a range of information search services for science and higher education. Stephane tells about his work and what he expects for the future of TDM.

Dr Jane Reed is Head of Life Science Strategy at Linguamatics, a UK-based company which makes TDM tools to help companies in the healthcare and pharmaceutical industries. She spoke to OpenMinTed about how TDM is being used to speed up drug discoveries and treat patients, and gave a vision for the future of text and data mining.

Dr Alan Akbik is a Research Scientist at Zalando Research. He’s using text and data mining to create tools which can be developed in one language and then applied automatically to other languages. This is valuable for companies such as Zalando, which work in many different countries around the world.

Federico Nanni is a researcher who uses TDM to build collections of materials from large archives which can be used to better understand recent, historically critical events such as the rise of Euroscepticism as a consequence of the recent economic crisis.

Mads Rydahl is the founder of UNSILO, a Danish start-up that applies machine learning to scientific publishing.

Iana Atanassova, Centre Tesnière – CRIT, University of Bourgogne Franche-Comté, is using Text and Data Mining (TDM) to study full-text scientific articles. Studying these papers can be a challenge, as they are usually in a format that is hard to process.

Daniel Duma is a PhD candidate at Alan Turing Institute and University of Edinburgh. He’s creating software that will plug into your existing word processor or text editor. The software will then use text and data mining to recommend papers that you should be aware of, you should read or that you would want to cite.