Artificial intelligence

Dirk Helbing was interviewed in the Dutch newspaper NRC Handelsblad about Artificial intelligence.

'We are building a dictatorship of data'

Dirk Helbing was interviewed in the Dutch newspaper NRC Handelsblad about big data.

Internet of Things

In the Dutch TV programme 'RTLZ Toekomstmakers' about the Internet of Things, Dirk Helbing was interviewed.

Responsible innovation

Dirk Helbing gave a speech during a special EU presidency 2016 edition of NWO’s annual conference on Responsible Innovation.

A responsible digital future: big data and ethical concerns

A smart society is resilient

Make society more resilient by creating modular systems, says Dirk Helbing in TU Delta.

Digital democracy or data doctrine?

Big data, nudging, manipulation of behaviour: will artificial intelligence and algorithms automate our society? Together with other scientists, Jeroen van den Hoven and Dirk Helbing published a ‘DigitalManifest’ at, an appeal for Digital freedom and democracy.

Build digital democracy

Open sharing of data that are collected with smart devices would empower citizens and create jobs, say Dirk Helbing and Evangelos Pournaras in Nature.

PhD Program in Engineering Social Technologies for a Responsible Digital Future

Delft University of Technology establishes a new PhD program in Engineering Social Technologies for a Responsible Digital Future. This initiative aims at strengthening complexity science for a better understanding of socio-technical systems and prepare for the challenges of today’s globalized and hyper-connected world.

The Faculty of Technology Policy and Management at Delft University of Technology focuses on complex socio-technical systems and infrastructures in energy, mobility, water management and infrastructures.

The Faculty of TPM is hiring 10 PhD candidates with a background in computational social science, data science, computer and engineering science, socio-physics, econo-physics, or similar, to jointly study and design complex socio-technical systems. Understanding complex socio-technical systems in a digital world requires advanced modeling, utilizing the potential of the Internet of Things (IoT) as well as big and smart data.  In order to achieve this, participatory and crowd-sourced approaches to data collection and model validation are needed. A range of issues regarding ethics, systems and governance (access, reliability, accountability and security, safety, privacy) are essential in our approach.

The PhD projects will be part of a research community at Delft University of Technology that is part of an excellent EU research network and harnesses the potential of Big Data, the Internet of Things, and Computational Social Science.

Research projects are related with the Nervousnet project and are all concerned with some aspect of participatory information systems, decentralized and participatory models of governance and crowd sourced solutions and could be about: new forms of social sensing, new reputation systems, new social coordination systems, new privacy respecting technologies, gamification, augmented reality, interactive discovery, social and pluralistic information filtering, collective intelligence, online deliberation platforms, IoT-based real-time measurements of externalities, multi-dimensional value exchange systems, coordination or co-creation tools and other digital assistants, potentially using Artificial Intelligence and Virtual Reality approaches. 

The PhD candidates will be jointly supervised by Prof. Dirk Helbing (ETH Zurich and Delft University of Technology, initiator of the FuturICT and Nervousnet projects) in conjunction with Delft University of Technology staff.

More information

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