International Data Analysis Olympiad IDAO-2021 Has Started
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.
The online tournament will focus on the search for dark matter—one of the few remaining mysteries of fundamental physics. Dark matter cannot be seen because it does not interact with light and interacts very weakly with ordinary matter. The task of the IDAO participants is to build a model that recognises some known observation processes, so that they can be excluded from the search for dark matter.
Committee Chair, First Deputy Dean, HSE Faculty of Computer Science, HSE University
IDAO is an opportunity for aspiring data analysts from all over the world to make a name for themselves and to try their hand at real-world challenges from the world of science and business. We are proud of the diversity of our competition participants: over three years, people from all over the world, from Brazil to Japan, have attended IDAO. Unfortunately, in 2021, as in 2020, it was decided that both stages would have to be held online. We hope that the situation with the pandemic will soon stabalize and that we will again be able to organise a marathon of 36 intense data science hours live in our unique atmosphere.
In the qualifying round, which runs until March 31st, participants will be able to choose one of two tracks to carry out the task. The first track is a classic machine learning task, where only prediction accuracy matters. The second track is a task with time and performance constraints. This track is designed to simulate real-world conditions, where not only the solution itself is important, but also how it was obtained. The first round task will traditionally be presented by LAMBDA (Laboratory of Methods for Big Data Analysis) — this time in collaboration with the Association of Universities CYGNO (Italy). The platform for the competition will be Yandex.Contest.
Another tradition is to offer participants the second round task from the competition partners. In 2021, participants will be able to try their hand at solving a case from Otkritie Bank. In previous years, Yandex, QIWI, and Sberbank provided tasks.
Member of Management Board, Head of IT, Otkritie Bank
I wish all IDAO participants success in the competition. I would like to point out that IDAO is a great platform to demonstrate your abilities to employers and earn professional recognition. We are always happy to see new talents in our bank.
Every year after the competition, participants and guests can attend open lectures and master classes led by international experts in machine learning and data analysis. Previous lectures are available here.
The last on-site round of the Olympiad was held in 2019. At that time, 31 teams made it to the finals, which were held at the Yandex office. The participants were offered a task from Yandex.Taxi: it was necessary to use data analysis to learn how to predict the waiting time for the next order for a cab driver at the airport and to better understand how long they would have to wait for a client.
Head of the Moscow Branch of Yandex School of Data Analysis
The IDAO Olympiad is one of important events for community development and education at the international level. This is the fourth time that we, together with the HSE Faculty of Computer Science, have brought together cool specialists who come up with new solutions to current problems in Data Science. We hope all participants will confidently pass the qualifying round. We have no doubt that interesting tasks will motivate you to do your best in this competition.
Professor Oleg Melnikov is among the international professors invited to work remotely with HSE University’s students this academic year. He lives in California, runs the Data Science department at a company in Palo Alto, and teaches at Stanford and other universities in the United States. At HSE University he teaches a course on machine learning for the students of the Faculty of Computer Science and the International College of Economics and Finance (ICEF), as well as a university-wide optional course, ‘Machine Learning in Python’. He spoke about his work in an interview with the HSE News Service.
Mikhail Guschin, Research Fellow at the HSE University Laboratory of Methods for Big Data Analysis of the Faculty of Computer Science, was appointed coordinator of the machine learning and statistics working group in the LHCb Large Hadron Collider experiment at CERN (the European Organization for Nuclear Research). He will be the only representative of a Russian University among the coordinators for the experiment’s working groups.
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.
A mathematical model of Covid-19 spreading in Nizhny Novgorod Region, which has been created by the Big Data Laboratory at Nizhny Novgorod Development Strategy Project Office, has been widely discussed in the media and on social networks. The research was led by Anastasia Popova, a master’s student of HSE University in Nizhny Novgorod, repeat winner of machine learning competitions, and winner of Ilya Segalovich Award by Yandex. In the following interview given on April 15, Anastasia speaks about how the model was developed, the data it uses, and long-term potential applications.
participants from 83 countries have registered for the International Data Analysis Olympiad (IDAO). Most registrations came from Russia and India. The top ten most-represented countries among participants also include the United States, Iran, Azerbaijan, Indonesia, Vietnam, and Pakistan.
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.