Knowledge intensive industries and innovative socio-economic activities tend to cluster in cities, creative hubs and high-tech zones. This can generate territorial disparities and the need for local and regional strategies to generate learning opportunities, link to existing hubs and value chains, and build on local strengths and opportunities. INGENIO contributes to the debate on the challenges for peripheral areas in Europe, and to addressing the need for coordinated and appropriate knowledge and innovation strategies at local and regional levels
Míriam Acebillo-Baqué
José David Barberá Tomás
Elena Castro Martínez
Tenured scientist
Inanna Catalá Miguel
Daniel Cuesta Delgado
Candidato a Doctor
Pablo D'Este
Ignacio Fernández de Lucio
Nerea Gómez
Gretel Gutiérrez Calderón
Fernando Jiménez Sáez
Sihan Li
Pedro Marques
Enrique Meseguer Castillo
Ghinwa Moujaes
Early Stage Researcher for the Policies for Smart Specialization Program
Rocío Poveda Bautista
Marta Guadalupe Rivera Ferre
Research Professor
Ingrith Dayana Rodríguez Gutiérrez
Paulina Terrazas Valdés
Richard Woolley
Dima Yankova
Dima Yankova and Ghinwa Moujaes, INGENIO (CSIC-UPV)'s predoctoral researchers, attended to the Annual meeting for doctoral students and young researchers in Economics of Innovation, Complexity and Knowledge, Wick#9, organized by the students of the University of Turin.
Ghinwa Moujaes gave a presentation about the relationship between Economic Complexity and inequality. Dima Yankova spoke about regional development and R&D systems.
This paper investigates the impact of artificial intelligence on the creative destruction of economic activities in U.S. metropolitan areas. We theorize that the impact of AI is unevenly distributed across regions and that its local impacts can be estimated using variation in exposure to Artificial Intelligence patents. We use a newly constructed dataset linking patents, American Community Survey and O*NET data for 2009-2019 in the U.S.. Preliminary results show that the current development of the U.S.
Regional institutional settings significantly influence the pace and scope of sustainability transitions. However, the complex institutional dynamics underpinning 'Regional Transition Paths to Sustainability' (RTPS) are not well understood. In this seminar we will elaborate how a focus on organizational change can help to make visible hidden institutional dynamics in RTPS. Starting from this, we will introduce the method of 'Transition Topology' and illustrate its application possibilities and potentials using different empirical examples.
A presentation of the European project RISIS to which INGENIO participates. RISIS (European Research Infrastructure for Science, technology and Innovation policy Studies) aims at building a data and services infrastructure supporting the development of a new generation of analyses and indicators about Science, Technology and Innovation (STI). It provides 14 datasets about STI, services for data enhancement and analysis (e.g. geocoding, network analysis), and a portal to access and connect these datasets and services.
Collaborative knowledge networks represent a core building block of regional innovation systems. They are constantly evolving, driven by a wide range of both endogenous and exogenous mechanisms. A number of empirical studies have signaled that interorganizational trust may be a key determinant of network tie formation, especially during periods of high uncertainty, yet findings remain inconclusive as a result of two limitations.
The persistence of patterns of decline or stagnation in developed countries has led to a renewed interest in the study of less developed regions. This renewed interest is informed by a variety of approaches, which range from studies on the unequal distribution of economic power and resources to analysis of regional endowments, such as human capital or quality of institutions. However a persistent misconception in some of this literature is that the primary factor explaining levels of development is innovation happening within firms.
