E!10101, SIA-Graph, Monocl

Purpose and goal

Pharmaceutical companies engage experts for various technical assignments. It might be about involving them in a clinical trial or a research collaboration. When identifying and prioritizing among these experts most focus is today on scientific merits such as publications and citations. Depending on the type of collaboration this does however not give a complete picture of the experts and that is why the Social Impact Analytics (SIA) Graph, developed in this project, has aimed to weigh in factors such as the experts’ media visibility and their influencing capacity on social media.

Expected results and effects

The SIA Graph has been tested by a pilot group during the summer and fall 2017. This group has confirmed that the new information provided has influenced which experts they have prioritized for both technical and commercial collaborations. Especially getting a summarized view over the experts’ outreach in media and news articles has been stated as a major factor in the decision making. In accordance with the project plan, the SIA Graph will be launched to a wider set of customers later during 2017.

Planned approach and implementation

The project has been performed by three partners, where two comes from industry and one from academia. Recorded Future has through their expertise in data mining been responsible for setting up a system to fetch data from news articles and similar from open websources. CWTS has been responsible for setting up metrics that combines new social data with more traditional publication data. Monocl has been responsible for implementing the new data and metrics in a user-friendly interface and worked with the disambiguation meaning that the right news article is mapped to the correct expert.