The Intellectual Property & Science business of Thomson Reuters has announced the winners of the Thomson Reuters Award for Innovation in Big Data, part of an ongoing collaboration with The Imperial College of Science, Technology and Medicine of London to drive scientific innovation and research in the life sciences. This collaboration was designed to explore innovative new technologies to better manage and interpret the volume and diversity of data generated in pharmaceutical and clinical research environments, while providing Imperial College students with real-world experience as they contribute to Thomson Reuters driving innovation.
The award was presented to the students who demonstrated the best technical applications, specifically related to data modeling and integration, visualization, and analytics. The award, presented on November 13 at the Thomson Reuters Hatton Garden office in London, was given to four Imperial College Masters students: Panagiotis Tzirakis, Michal Bachman, Bernardo Lemos Caldas and Paul Williams for their significant contributions to projects focused on data integration, analytics, visual integration, linked data, algorithms, machine learning and text mining. The winners received £500 each and were chosen from among 167 students.
The Thomson Reuters Award for Innovation in Big Data is part of the company's continued efforts to drive innovation for better managing Big Data in life sciences, specifically by converting large amounts of content or data into meaningful and accessible Little Data.