María del Carmen Calatrava Moreno is a consultant at the Vienna office of Technopolis specialized in data science and policy. During her 8 years of experience working on these subjects, she has led and collaborated in both academic and consultancy projects related to the use of computer-based methods to extract knowledge from large amounts of data.

Her core competencies include the use of computer-aided methods in big-data analysis. She led conducted analysis of the European public consultation on the summertime arrangements, which was answered by 4.6M EU citizens. During this public consultation, she efficiently conducted several iterations of statistic and text mining analyses in order to provide up-to-date results for official press releases. Recently, she was involved in another data-intensive project for BEIS (Department for Business, Energy & Industrial Strategy, England) to analyse the economic landscape of England’s Local Enterprise Partnerships. For this project, she gathered and linking socio-economic and demographic data from several sources to develop a range of indicators aligned with the Industrial Strategy and suited to the geographies of Local Enterprise Partnerships. Currently, she is leading the quantitative analysis of the participation of Switzerland and Israel in Horizon 2020, for which she is linking different data sources into a single database for insightful analyses and visualisations.

She holds a master’s degree in Computer Science and a second degree in Innovation in Computer Science. She also holds a PhD in computer science applied to research policy from the Vienna University of Technology.