Data Science in Social Sciences, Daniil Alexandrov

[Mst.Rina1R]

In his report, Daniil Aleksandrov spoke about how computational social science developed, showed illustrative examples of studies of social factors of health in America, migration in Eurasia and poverty in Africa. In his lecture, Daniil mentioned Carlo Ratti and his work in the field of analytics of different countries. Examples of this and other studies showed how to solve problems that scientists could not find solutions to with the help of social networks and mobile telephony.

How Data Science Can and Cannot Help Literary Science, Boris Orekhov
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what can and what can't science about data help science about literature boris orehov — JMS University
Boris Orekhov
As it turned out, literary criticism and data science have a lot in common. This statement was proven by the speaker using illustrative examples. In addition, Boris Orekhov spoke about new methods that already work and about methods that are still used only in the gaming sphere. The reasons for this were explained in detail by the speaker.

How to teach a neural network to generate poetry, Ilya Gusev
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how to teach someone to generate poems ilja gusev — JMS University
Ilya Gusev
Ilya spoke about his own package created for generating germany telegram poems and about the concept of a language model. The speaker explained how the machines for setting rhythmic restrictions work and showed the results of such poetry. In addition, Ilya Gusev discussed in detail the quality of the resulting poems.

Computers Read: How Statistics and Neural Networks Help to Better Understand Medieval Chinese Poetry, Mariana Zorkina
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computers read how statistics and other data can help better understand the progress of the Middle Ages Mariana Zorkina — JMS University
Mariana Zorkina
The topic of poetry at the conference was touched upon not only by Ilya Gusev. Mariana Zorkina spoke about how modern computer technologies help research in the field of reading fiction. The speaker demonstrated different approaches to understanding poetry (basic statistics, neural networks, etc.). All this was discussed using classical Chinese poetry as an example. Chinese poems were chosen as a visual example due to their special complex system of images and transition to other texts.

All reports presented at the conference were accompanied by the participation of the audience. Each speaker answered questions that the audience had. Those questions that the audience did not have time to ask during the conference could be discussed with the author of the report in the hall or in the lobby. The program was interesting for humanities researchers and data science specialists.