Russian teams qualified for the finals at UNESCO's CodeTheCurve hackathon
engin akyurt
Three Russian teams, two from Skoltech and one from the Moscow Institute of Physics and Technology (MIPT), won the first round of UNESCO's CodeTheCurve hackathon that supports young innovators, scientists and designers across the world engaged in the development of anti-COVID-19 digital solutions. In the finals, the Russian teams will face off against the best young scientists from the United States, India, China, France, Great Britain, Canada, Australia, Brazil, Spain, and the UAE.

Russian projects and teams that qualified for the finals:


Team members: Nurlybek Amangeldyuly (PhD student, Skoltech), Dmitry Karlov (Skoltech), Petr Popov (Skoltech), Marc Zakharsky (Master's student, MIPT), Khalimat Murtazalieva (PhD student, MIPT), Kirill Chertoganov (PhD student, Skoltech).

The project leverages the frontier Machine Learning (ML) technologies in combatting the pandemic. The team's young scientists with experience in molecular modeling evaluate drug candidates in terms of their effect on the previously unexplored part of the coronavirus envelope proteins using molecular screening and propose specific structures of chemicals that can suppress the virus in the human body.

2. «Coronomy»

Team members: Ekaterina Balakina (Master's student, Skoltech), Alexander Rubashevsky (Master's student, Skoltech), Vito Michele Leli (PhD student, Skoltech), Evgeny Borisov (Engineer, Skoltech), Oleg Rogov (Skoltech), Dmitry Dylov (Skoltech).

The project aims to help combat unemployment, a painful after-effect of the pandemic, and support the unemployed and the owners of bankrupt companies. Its socially responsible database enables job-seekers and potential employers to download their profiles, "meet" each other and join efforts in fundraising. The project strategy is directed at revitalizing the broken economy after the pandemic.

3.«Contact Tracer»

Team members: Konstantin Vorontsov (Head of the Machine Intelligence Laboratory at MIPT, Dr. of physics and mathematics, professor of RAS), Andrey Inyakin (PhD in physics and mathematics, lab scientist at MIPT), Anastasia Yanina (PhD student and lab scientist at MIPT), Andrey Stepanov (CEO, Project Manager, Softtri LLC), Alexander Kozhevnikov (Director for Development, Promotion and Marketing, Softtri LLC), Alexander Mitroshkin (CTO, Product Manager, Softtri LLC).

The Contact Tracer mobile application monitors physical contacts between people and evaluates the COVID-19 contagion risk using ML algorithms. Contact Tracer collects data about the user's location and all Bluetooth devices, such as smartphones, laptops and wearables, within a 20m radius. All the user data are depersonalized. The data is communicated to the server which evaluates the contagion risk for each user based on the stay time, distances between contacts and a possibility close contacts. Also, the application evaluates the infection hazard in individual locations within the city. The ML algorithms help establish a risk level for each user and identify individuals with latent or symptomless infection. This is important for containing the spread of the epidemic. The application keeps the user updated about the current risk assessment and dangerous contacts and locations in real time. The application is already used by upwards of 15,000 users.

Only one fifth of all the teams made it through a rigorous selection to the finals. Each addressed one of the three key topics: 1) ensuring continuity of learning; 2) managing data and information, and 3) dealing with present and future societal and healthcare challenges. The hackathon will last until April 30, 2020.
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