European science conversations
by the community, for the community
Our society has come to heavily depend upon the advancements in healthcare brought about by clinical research. Without decades of medical research and clinical trials, thousands of treatments and medications would not be available. Presumably, nearly Read more […]
Pharmaceutical analysis is advancing to improve drug discovery and safety. Here are five top pharmaceutical trends driving the sector today.
This article expands an ESOF2020 panel that highlights common pitfalls of science communication and discusses remedies.
In this episode, Aleš Vaupotič shares his perspectives on the world of digital humanities and its impact in the society.
This article evidences results from ESOF 2020, by having travel grantees telling their personal experiences as early-career researchers.
Slovenia joining the Institut Laue-Langevin, a powerful neutron source as a scientific member marks a new era of science for the country.
During the global shutdown, many scientists had to face working in confinement – not only away from the lab and its facilities, but also away from their research teams and colleagues. But what if you were married to your partner? Scientists Viviana and Luigi found themselves flourishing in this new type of scientific environment – combining their expertise from different fields to devise a new methodology that has spurred into an international partnership.
Sukarma Rani Thareja writes a poem about mothers inspiring children with methods which they use at home, which is no less than real practical scientist.
How is it possible for different findings to emerge from science over time? Considering this question can shine a light into a process that may seem like a black box and help us make sense of scientific study in its earlier stages.
Sukarma Rani Thareja from India, wrote a poem to celebrate women in science.
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.
Zuzana Hudáčová, a 15-year old student from Slovakia, has always liked to go to labs and make experiments when she had free time.
EuroScientist journal 
