In this presentation I will describe briefly the work within The Group of Energy, Economy and Systems Dynamics (GEEDS) at the University of Valladolid and how system dynamics can help solve certain crucial questions for the socio-ecological transition. Integrated assessment models have the characteristics of including several sectors that interact with each other, system dynamics specifically include the mechanism of feedback loops among different sectors that will be shown in the presentation.
This is very early stage work, which will benefit from an open and constructive exchange of ideas and discussions with the INGENIO community and network. The idea is part of a work-in-progress study on science (non) commercialization (SC). We aim to explain why SC or other ways of knowledge/technology transfer happen more often in some disciplines than in others. The differentiation between basic and applied research or use-inspired basic research (Stoke, 1997) does not fully explain science non-commercialization and commercialization, respectively, within or across disciplines.
Instituto de Economía, Geografía y Demografía (IEGD), CSIC
La cooperación para la innovación es una modalidad de la innovación abierta que implica la participación activa de una empresa con otras compañías o entidades no comerciales en actividades de innovación, que no necesariamente tienen un enfoque comercial. Investigaciones previas han destacado varios beneficios de la cooperación para la innovación, especialmente en momentos de crisis económica.
Innovation fosters economic growth and the performance of national systems. At the same time, though, recent literature shows that innovation is also a source of increasing income inequalities. Public policies face thus an important trade-off between efficiency and equity effects of innovation. What are the possible policy strategies to address this trade-off? The paper presents a model of innovation, income inequality and public policies.
Chimwemwe will discuss opportunities for partnerships, priorities, and contributions of university-community partnerships for climate adaptation in Malawi. He will further share insights on how the human development approach, which foregrounds people-centeredness to development and focuses on expanding the richness of human life aside from the richness of the economy, can be applied to design university-community partnership models for the climate change approach in Malawi.
Cambridge Centre for Smart Infrastructure and Construction
Dr Schooling will discuss the opportunities and challenges presented by city-scale digitalisation, with a focus on three core aspects: governance, ethics and technology. She will describe the findings of the Digital Cities for Change programme, funded by the Ove Arup Foundation, which evaluates both the existing structures and systems of city and infrastructure management, and investigates how digital tools can help better decision-making within these areas.
We examine whether government sponsored R&D induces the development of clean technologies with a high impact on subsequent technological development. The analysis uses information on USPTO patents granted between 2005 and 2015 and combines different methods to control for possible sorting of projects into public funding and for non-random (public) treatment. We also assess the distributional impact of government sponsored R&D.
This is an on-going study in which we explore inductively start-up coaches’ role in developing an entrepreneurial identity in researchers and having impact in research institutions. Our initial working hypothesis was that start-up coaches can play a relevant role in embedding an entrepreneurial mindset in researchers, or steering researchers towards an entrepreneurial horizon. Contrary to our working hypothesis, we found that start-up coaches’ strong commitment with neutrality prevents them from doing so.
We revisit the well-known fact that richer countries tend to produce a larger variety of goods and analyze economic development through (export) diversification. We show that countries are more likely to enter ‘nearby’ industries, i.e., industries that require fewer new occupations. To rationalize this finding, we develop a small open economy (SOE) model of economic development at the extensive industry margin. In our model, industries differ in their input requirements of non-tradeable occupations or tasks.
David Barbera-Tomás1, James Bates2 , Enrique Meseguer1 and Michael M. Hopkins2
1Ingenio (CSIC-UPV), Universitat Politècnica de València, Spain.
2Science Policy Research Unit (SPRU), University of Sussex Business School, Brighton, UK.