Speakers:
Georgios Tsatsaronis, VP Data Science, Research Content Operations 
Marius Doornenbal, Distinguished Engineer, Research Technology 
Anita de Waard, VP Research Collaborations

Title: Data Science Research at Elsevier: Why Would A Science Publisher Do R&D? 

Abstract:
Scientific communication has changed dramatically over the last 25 years. In far less than a lifetime, all communication has gone digital, and vastly increased in both speed and volume. Over this time, Elsevier has transformed itself from a traditional print publisher into an information solutions provider.  
In a new phase of this transformation, Elsevier is accelerating its efforts to combine the scientific and medical literature with a wide range of additional sources of data to create new ways of delivering value to customers in the research and healthcare markets we serve. The data science community at Elsevier, spread across our various businesses and embedded within our product development teams, is central to this effort.  
In this talk, we will (1) give an overview of the changing landscape of scientific communication; (2) describe the organization and focus of our data science teams and the challenges we face, and (3) the principles we are applying to the creation of new data products. 
To make this practical we will provide a glimpse of the range of data solutions being delivered to internal and external customers, and touch on a few examples of near-term and long-term data science projects which exploit recent advances in automated knowledge base construction using neural approaches to natural language processing. 
We will conclude with a brief discussion of potential future collaborations, including research internships with our NLP/Data Science groups.