Senior Lecturer in Management, in charge of the relationships between Reser council and Redlas
Maria Savona is a Senior Lecturer at SPRU, Science and Technology Policy Research at the University of Sussex, UK. She is also Visiting Research Fellow at the Judge Business School, PRI - Programme on regional Innovation, University of Cambridge, UK. She has been Associate Professor in Economics at the University of Lille 1, France. She holds a degree in Economics from the University of Rome `La Sapienza' and a PhD in Science and Technology Studies from SPRU, Science and Technology Policy Research, University of Sussex, UK. Her PhD thesis is titled 'Structural Change, Technology and the Growth of Services'.
She has been a Post-doc fellow at BETA, Bureau d'Economie Théorique et Appliquée, ULP, Strasbourg, France, with a French CNRS post-doc fellowship. She has been granted an EU TMR Marie Curie fellowship for a PhD programme at SPRU; an Italian CNR fellowship for a visiting at the University of Reading, UK.
She has been involved in several European Research Projects (ServPPin, The Contribution of Public and Private Services to European Growth and Welfare, and the Role of Public-Private Innovation Networks, within EU FP7; AITEG, Assessing the Economic Impact of Technological Change and Globalisation, within FP5 and SIEPI, The Structure of European Innovation and Economic Indicators, within FP6).
She is involved in DIME RAL3 (Historical, Economic and Policy Studies of Technical Change. A Conference in Honour of Nick von Tunzelmann); DIME RAL3 (An evolutionary approach to development and institutions: an application to technological change in the agro-food sector) ; DIUS (Absorptive capacity and innovation across the UK regions) and NESTA (The Hidden Innovation in services) funded projects.
She has collaborated with the Italian and French National Research Council, the University of Rome `La Sapienza', the University of Lille 1.
Her research interests span an array of sub-disciplines within economics and industrial economics at different level of analysis:
She has extensively worked on micro-data from the Community Innovation Survey and macro-data from OECD STAN and Input-Output.
She is also: