Faculty of Technology, Policy and Management
TBM in the media
Aimee van Wynsberg in various media: Sex robots promise 'revolutionary' service but also risks, says study
Jeroen van den Hoven in de Volkskrant over Facebook Live
Een nieuw incident legt Facebook andermaal onder het vergrootglas. Facebook belooft beterschap en strengere controle na de uitgezonden moord op zijn netwerk. Maar zijn die maatregelen afdoende? Nee, zeggen Nederlandse experts.
Peter Ho op AD.nl over Zaken doen met Chinezen
Een economische samenwerking tussen Capelle en de Chinese stad Jiashan. Wat moeten bedrijven weten voordat ze in zee gaan met China?
Random Regret Minimization Model
The choices people make are partly determined by their attempt to prevent regret at a later stage. This idea inspired the ESS department (section TLO) to develop its ‘random regret minimization’ (RRM) model: an econometric model that analyses and predicts the choices people make.
Adaptive Delta Management
A majority of the world’s population live in deltas that are rapidly changing due to climate change and socioeconomic development. This fuels the need for an integrated approach for the long-term development of coastal areas that explicitly takes into account all the uncertainty in the development of these dynamic areas. Adaptive Delta Management is such an approach, and the MAS department is a leading contributor to its development.
Spreading the Responsible Innovation Approach
In the last few years, responsible innovation – or as the EU calls it, responsible research and innovation (RRI) – has been developed as an approach to deal early on with ethical and social issues brought about by new technologies. RRI has been defined as ‘on-going process of aligning research and innovation to the values, needs and expectations of society’ (Rome Declaration).
Governance of Cyber Security
Instead of regarding cyber security as primarily a technical challenge, we look at the problem from a socio-technical perspective – combining large-scale, technical measurement data from computer science with institutional data on thousands of actors – so as to identify the incentives of these actors and design policies that can affect real change.