Between 2002 and 2017, 1,558 people across 50 countries were killed for defending their environments and lands, this is more than double the number of United Kingdom and Australian armed service people killed on active duty in war zones over the same period.
What hope is there for those in science to build a trusting and respectful relationship with the public when so many scientists are schooled in a culture lacking these qualities?
Do you love science but are unhappy with the culture in academia?
As a PhD student, postdoc or lab leader (PI), do you feel like your mental health may be suffering because of problems in the system?
Do you think your lab could be managed more efficiently?
Artificial intelligence is a rapidly growing field of science and technology, yet the potential it holds for enhancing some of the world’s most powerful experimental tools such as neutron and x-ray probes is yet to be fully explored. Applying machine learning methods to processes within these international experimental facilities could help to overcome some of the biggest challenges faced by scientists today. This includes automating some of the handling, processing, and linking together of large datasets. At Institut Laue-Langevin, exploratory projects are already underway to ensure scattering science also reaps the benefits of artificial intelligence research.
Scholars at Risk’s latest Free to Think 2019 report describes the contours of a global phenomenon of attacks on higher education that impacts scientists everywhere. These attacks hamper scientific progress across the globe and challenge everyone’s right to think and share ideas. Given the gravity of this phenomenon, the report sets out tangible actions stakeholders including students, universities, faculty, and scientific associations can take to respond.
Bringing the IoT to the construction industry in the form of smart sensors greatly raises the bar for quality and efficiency.
We are trying our best to fund the projects which are most likely to be successful and that can have an impact on society, on economy, on life and security. But…are we really funding the best research ever? Are we really getting the best value out of our money?
In a scientific world where there are too many candidates for the scarce positions and funds, recruitment became extremely demanding. With the needed ambition to publish more impactful stories, scientists often choose not to publish smaller projects. But is that really important? And, if so, can we foresee some solutions? These are some the questions we discuss in the present article.
To publish a number of articles at a very early stage cannot be a direct way to measure one’s ability and interest to do research later in time.
2018 has been a productive year for EuroScience and EuroScientist. You, readers of EuroScientist, are important for us: you shape debates and provide contributions. Thank you for that. EuroScience, a pan-European association established in Strasbourg, Read more […]
Nowadays there is a diffuse border between pure and applied mathematics. The pure mathematician – an atypical scientist inclined toward the abstract – – is capable of switching at any time to the role of applied mathematician in order to address and solve the pressing global issues that threaten humanity. From assisting manned space missions to modelling the processes of ice melting or the spread of an epidemic, the applied mathematician’s contributions are crucial for humankind. The confidence we have in the truths of applied mathematics, which – within the philosophy of science – is part of the so-called Wigner’s puzzle, is a kind of evolutionary feature of the discipline.
The FOSTER Roadmap for Implementing Open Science Training Practices in Research institutions outlines three key ways and practical actions that can taken up by Research Performing Organisations in order to support the transition towards Open Science.