HSE University Faculty of Computer Science and Yandex Hold Final Round of International Data Analysis Olympiad IDAO-2020
The HSE Faculty of Computer Science (FCS) and Yandex held the Online Final of the IDAO-2020 International Data Analysis Olympiad, which took place for the third time. The task for the final round was provided by QIWI, the platinum partner of the event. Sberbank also became a competition partner.
IDAO was created by leading data analysts with their future colleagues in mind—emerging developers and analysts. In the competition, participants face real-world challenges in a competitive environment. The Olympiad consisted of two rounds — a qualifying and a final — and held on the Yandex.Contest platform, an online automated service for marking assignments and scoring competitions.
Stanislav Fedotov, Head of the Yandex School of Data Analysis, Moscow Branch
It is very important for us that together with FCS and partners we organise an event such as IDAO, where talented specialists get together and come up with new solutions for current Data Science problems. This year, the final, which is traditionally held at the Yandex office, had to be moved online. But that didn’t prevent the participants from showing what they were capable of—how they are able to make quick decisions, work well in a team and feel confident in a competitive environment. We hope that participating in this competition will help the young people find their vocation.
A total of 2,756 participants from 83 countries were registered for the IDAO 2020 qualifying round. They had to build a model that predicted the position of space objects using simulation data. Predicting the position of satellites is an important task for the space industry to avoid collisions that destroy satellites and create space debris. The task was developed by staff of the Laboratory of Methods for Big Data Analysis LAMBDA and the Russian Astronomical Science Centre (ASC).
34 teams from 13 countries competed in the Online Final. In the task from the platinum partner QIWI, participants needed to determine which of the bank’s customers would benefit from granting special conditions for a loan product. The decision had to be made based on real user behaviour data. The jury consisted of ML specialists and scientists. The total prize fund amounted to 800,000 rubles.
Yuliya Bogacheva, Chief Data & Analytics Officer, QIWI
We are very pleased to have participated in the event: the teams managed to surprise us with their solutions. It’s great that we have international competitions in this country on such an important topic as data analysis. We hope the participants continue to do their beloved work and implement strong projects that will change the world!
IDAQ-2020 winning teams:
1st place: vrn, Voronezh: Ivan Bragin, Igor Kleynikov
2nd place: Mylene Farmer, Moscow: Ilya Ivanitskiy, Anvar Kurmukov, Vasiliy Rubtsov
3rd place: random team, Zurich, Switzerland: Ilya Kornakov, Kirill Borozdin
Tamara Voznesenskaya, FCS First Deputy Dean, IDAO Organising Committee Chair
This year we faced unforeseen challenges when the face-to-face competition, where participants from all over the world were supposed to meet, had to be moved online. We tried to make the event as full as possible and had lectures from leading speakers of the Faculty, Yandex, QIWI, and the University of Padua, and we believe that everything worked out. Next year we will continue our work and develop the Olympiad further.
Ivan Bragin, vrn, Voronezh, First place
I learned about the IDAO Olympiad from Telegram a few days before its start, so it was my first time participating in it. The task of determining the satellite position seemed interesting, and it was clear that it would not be difficult to proceed to the second stage. In order to put together a team, I went on all the online chats and invited all my friends to participate. Only Igor Kleynikov responded, though he doesn’t have much experience in ML.
I participate in a large number of kaggle-like competitions, and for me the remote mode of competition is more familiar than offline events which I have attended only twice. Onsite events involve long drives, sleepless nights, and lots of socialising. It’s all very interesting, but also exhausting.
Ilya Ivanitskiy, Mylene Farmer, Moscow. Second place
This is my second time competing in the IDAO – last year I won. I like these short contests: limited time, drive, speed. There are three people in our team: me, Vasily Rubtsov, and Anvar Kurmukov. We all studied together in the FCS Master’s programme at HSE University. Vasiliy and I work together now: we analyse data on Avito. I improve automatic moderation and try to make Avito more secure, and Vasily makes recommendations. In fact, there is no clear division of roles in the team: we all generated the features, investigated the data, and built the models. This approach, on the one hand, seems to be sub-optimal, but, on the other, it allows you to get different models that you can then combine for more stable solutions.
Ilya Karnakov, random team, Zurich, Switzerland. Third place
This is my first time participating in the IDAO. I’m interested in Data science/ML in general, but I have no time to participate in contests like Kaggle. But then I saw the announcement for this relatively short (in duration) final. Since this is a team competition, I asked a colleague (Kirill Borozdin – ed.) if he wanted to join, and he was interested. Participating in the remote competition was not very difficult (I think onsite would be much harder, because we would have nowhere to sleep).
The registration period for the International Data Analysis Olympiad (IDAO-2021) is open until March 12. The qualifying round has already begun and will run until March 31. This year, the HSE Faculty of Computer Science and Yandex are holding the Olympiad for the fourth time. This year's Platinum Partner is Otkritie Bank. The Olympiad is organised by leading data analysts for their future colleagues—early career analysts and scientists.
Ekaterina Melianova and Artyom Volgin, second-year students of the Master’s programme ‘Applied Statistics with Network Analysis’, took second place in an international data analysis competition. Using a Kaggle survey of 19,717 respondents from 171 countries, they analyzed the community of PhD degree holders in Data Science.
HSE University has recently hosted an SAS Data Hack Platypus data analysis hackathon, where teams competed to solve a case problem provided by the online hypermarket, Utkonos (or, in English, ‘Platypus’).The top five finalists received devices from partner companies as gifts.
The registration for the 3rd International Data Analysis Olympiad (IDAO 2020) organised jointly by the HSE Faculty of Computer Science and Yandex, is open until January 21, 2020. The international competition introduces young developers and analysts to current issues in Data Science.
On February 18, the online round of the International Data Analysis Olympiad (IDAO) officially finished. The Data analysis competition is organized by the HSE Faculty of Computer Science and Yandex with the support of Sberbank. This year 1287 teams from 78 countries took part in the online round.
The HSE Faculty of Computer Science and Yandex with the support of Sberbank are to organize the 2nd International Data Analysis Olympiad (IDAO). The Olympiad is held by leading experts in data analysis for their future colleagues and aims to bring together analysts, scientists, professionals, and junior researchers.
The Data Culture project at HSE is celebrating its first anniversary! Its key concept is that all students should possess at least basic competencies in data analysis, since data skills are increasingly becoming an entry-level requirement for professionals in almost every field. More than half of all HSE programmes were involved in the project in its first year. In the following academic year, the project is being expanded to cover all programmes and all students. Let’s have a closer look at the project’s profile and try to see the ways students can benefit.
The Higher School of Economics has joined the LHCb collaboration at the Large Hadron Collider, which is operated by the European Organization for Nuclear Research. The group from HSE will consist of researchers from the Laboratory of Methods for Big Data Analysis (LAMBDA). This will give HSE researchers full access to data from the collaboration and allow the university to participate in various projects.