Call for submissions: Diversity in Research Paper Award
The Human Brain Project’s Diversity and Equal Opportunities Committee (DEOC) invites you to apply for our Diversity in Research Paper Award (DIRPA): You are eligible if your publication considers diversity traits such as sex, gender, age, ethnicity, etcetera in your specific field of research like neuroscience, AI, Robotics. The deadline has been extended to 17 January! More…
Increasingly big data & the pressing need for international data governance of neuroscience
Understanding the brain requires great effort and the scale of neuroscience research projects is increasing to scale. This means crossing borders in big international research initiatives, and as a result being subject to national and international laws, regulations and policies in both data collection and transfer. While neuroscience data transcends borders, data governance typically stays…
Digital twins & virtual brains: the importance of conceptual clarity and transparency
Researchers are trying to develop digital twins of the human brain by building so-called ‘virtual brains’. Trying to create virtual copies of such a complex organ, that we know increasingly yet still very little about is a great challenge. In a recent publication, Kathinka Evers and Arleen Salles explore philosophical and neuroethical challenges associated with…
The value of neuroethics and philosophical reflection in the Human Brain Project
The Human Brain Project is committed to implementing responsibility in research and innovation practices. But implementing responsibility means more than setting standards or enforcing compliance. It also means changing mindsets and promoting an ethical culture: A culture where scientific excellence also includes ethical excellence. In the Human Brain Project, we are integrating neuroethics and philosophy…
Engage with citizens about the future of neuroscience!
From November 2021 to February 2022, the Danish Board of Technology are organising citizen engagement workshops about international research collaboration and sharing of health data in neuroscience on site in 6 European countries (Denmark, Spain, Hungary, Italy, Germany & the UK). They are now inviting experts in neuroscience, neuromedicine, health data and data sharing to…
Building an EBRAINS community in Africa
Why is EBRAINS engaging in community building activities? EBRAINS has made a commitment to build a scientific research infrastructure that empowers empirical and theoretical neuroscience that is of relevance to a highly diverse and collaborative neuroscience community. We understand that ‘the success of the EBRAINS research infrastructure will depend on its ability to mobilise the…
Neuroimages, artificial intelligence & re-identification of research subjects
Taking images of the brain using magnetic resonance imaging, or MRI for short, also captures the face. For a long time, techniques that remove facial features from neuroimages have allowed for open sharing of anonymised neuroimages. But new developments in artificial intelligence and machine learning have made it possible to re-create the removed facial features…
Designing a responsible neuroscience research infrastructure
Over the past 8 years, the Human Brain Project (HBP) has tested the strengths and limitations of responsible research & innovation, also known as RRI. To mark the ten-year anniversary of RRI, a group of HBP researchers now share what can be learned from implementing this concept in a large multi-disciplinary research project. This includes…
Can you be cloned?
Why can we feel metaphysical nausea at the thought of cloned humans? I guess it has to do with how we, without giving ourselves sufficient time to reflect, are captivated by a simple image of individuality and cloning. The image then controls our thinking. We may imagine that cloning consists in multiplying our unique individuality in the…
Can AI be conscious? Let us think about the question
Artificial Intelligence (AI) has achieved remarkable results in recent decades, especially thanks to the refinement of an old and for a long time neglected technology called Deep Learning (DL), a class of machine learning algorithms. Some achievements of DL had a significant impact on public opinion thanks to important media coverage, like the cases of the…
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