Artificial intelligence will, without question, be developed over the next 5-10 years. In the coming year, significant progress is expected to take place in solving three key tasks that will help achieve this feat.

Studies of ancient DNA have changed our view of the history of humanity. As such, advanced analysis of separate cells’ genomes will help generate breakthroughs in our understanding of early embryonic human development over the several next years. At the same time, in terms of research of bacterial communities, we still don’t know how to pose the correct questions.

The concept of thought-reading is longer science fiction; computer translation is improving; and linguists are no longer ashamed to ask ‘why people talk the way they do on the Internet’.

Urban governance will be based on big data rather than on any purely administrative rationale, and just building homes will not be enough to ensure people feel comfortable. This change is already underway in capitals and other large cities, and other cities and towns will follow.

In 2017, we expect neurolinguisitcs to continue developing such applications as standardized tests for speech deficiencies. Furthermore, there should be further joint work among neurolinguists and surgeons, as well as new emerging neurolinguistics-oriented therapeutic studies with the application of various neurovisualizational methods.

The most important thing we must keep in mind when talking about future innovation is that there is no one single scenario or outcome. For instance, we may have forgotten or missed something, and this might appear as a surprise. Then, as follows, a new trend or area of studies will emerge. There also is a particular Russian specialty: some trends already exist, but it’s nevertheless impossible to understand their actual scale.

The debate about the concepts of ethics no longer applies solely to an individual’s moral principles and self-knowledge. Ethics has become an engineering problem. The question then arises, what principles should we build in to autonomous machines that operate and make decisions in the real world?

Game theory, decision theory, network analysis, experimental economics — these are the areas that will develop rapidly in the coming years, bringing together scholars from different research fields.

Having an external ‘enemy’ helps unite Russian society.

Student can suffer from depression and other signs of emotional burnout if they study too hard or choose the wrong specialization, HSE researchers have found.

Before it could fully emerge, Russia's middle class was hit by the economic crisis.

It has been known for a long time that early risers work less efficiently at night than night owls do. But researchers from the Higher School of Economics and Oxford University have uncovered new and distinctive features between the night activities of these two types of individuals. At night, early risers demonstrate a quicker reaction time when solving unusual attention-related tasks than night owls, but these early risers make more mistakes along the way.