• A
  • A
  • A
  • ABC
  • ABC
  • ABC
  • А
  • А
  • А
  • А
  • А
Regular version of the site

IDAO 2021 Qualifying Round Comes to a Close

IDAO 2021 Qualifying Round Comes to a Close

© https://idao.world/

30 teams have advanced to the finals of the 2021 International Data Analysis Olympiad (IDAO) after passing the qualifying round, which was dedicated to the search for dark matter.

The Olympiad is held for novice analysts and scientists to help them try their hand at real-world problems. The competition is held on the Yandex.Contest platform.

In this year’s IDAO qualifying round, participants had to build a model to detect dark matter. This is not an easy task given that dark matter does not interact with light and has very little contact with other matters. The model had to classify processes already known to scientists and exclude them from the search for dark matter.

30 teams (totaling 84 people) from 15 countries were able to complete the task most successfully and advance to the final round. They will be joined by 4 winners and medalists of IDAO 2020. Now they have to solve a problem provided by the competition’s platinum partner, Otkritie Bank. Participants will have 36 hours to solve a real problem aimed at maximizing the effect of personal advertising communications with bank customers.

In 2021, the HSE Faculty of Computer Science and Yandex will host the Olympiad for the fourth time. The countries most represented in participant registration for the Olympiad were Russia, India, the USA, Peru, and France. 648 teams took part in the Olympiad, 43% of which were comprised of Bachelors students, 19% of which were Master’s students, and 4% of which were PhD students. 34% were representatives of the industry.

Sergey Karapetyan, Chief Coordinator of the IDAO Olympiad

For several years now, we have been creating the IDAO tasks from different areas in the qualifying round and in the final. We are very proud of the Olympiad participants’ success, because the task of the qualifying round, which dealt with finding dark matter, was far from trivial. Now the finalists have to solve an applied business problem. Unfortunately, the restrictions of 2021 will not allow us to host the final in person, but we are sure that the participants will still experience the unique atmosphere of the competition.

See also:

‘Bots Are Simply Imitators, not Artists’: How to Distinguish Artificial Intellect from a Real Author

Today, text bots like ChatGPT are doing many tasks that were originally human work. In our place, they can rewrite ‘War and Peace’ in a Shakespearean style, write a thesis on Ancient Mesopotamia, or create a Valentine’s Day card. But is there any way to identify an AI-generated text and distinguish it from works done by a human being? Can we catch out a robot? The Deputy Head of the HSE School of Data Analysis and Artificial Intelligence, Professor of the HSE Faculty of Computer Science Vasilii Gromov explained the answer in his lecture ‘Catch out a Bot, or the Large-Scale Structure of Natural Intelligence’ for Znanie intellectual society.

HSE and Indian Institute of Technology Delhi Agree on Joint Research Projects

HSE University-St Petersburg and the Indian Institute of Technology Delhi (IIT Delhi), a leading Indian university, have agreed to launch joint research projects in the field of social, political studies, humanities, and data analysis for master's students. On the Russian side, this work will be coordinated by the HSE St Petersburg School of Social Sciences.

Master's Programme in 'Data Science' Accredited by AI Alliance Russia

Based on the assessment results, the programme's strengths were identified as its broad coverage of educational disciplines, in-depth exploration of theoretical aspects in machine learning, the quality of staff, and the involvement of potential employers. This is the fifth educational programme at the HSE Faculty of Computer Science to receive this prestigious professional and public accreditation.

At Sarov Technopark, Researchers from HSE Faculty of Computer Science Discussed AI for Data Analysis in Physics

The Laboratory of Methods for Data Analysis of the HSE Faculty of Computer Science, in collaboration with the All-Russian Research Institute of Experimental Physics (RFNC-VNIIEF, Sarov) and the National Centre for Physics and Mathematics, recently held the Second All-Russian School-Seminar on High Energy Physics and Accelerator Technology.

HSE University and Samolet to Train Data Analysts in Development

HSE University’s Faculty of Computer Science and Samolet, one of Russia’s largest development companies, are launching a new Master’s Programme 'Data Science for Construction, Architecture and Engineering'. Samolet will finance the tuition of the 30 best applicants on the programme.

‘Smart and Bright: Winners of Data Analysis National Olympiad Announced

The awards ceremony for the winners of the Data Analysis National Olympiad (DANO) has taken place at the HSE Cultural Centre. This is the second time the Olympiad has been held, and was organized by HSE University together with Tinkoff. About 7,000 participants from different regions of Russia and 13 other countries took part in the event. Those coming in the top 25 of the individual ratings will be able to study at HSE University for free.

Over 7,000 Students Take Part in Data Analysis National Olympiad

Data analysis enthusiasts from different regions of Russia and 13 foreign countries recently took part in the Data Analysis National Olympiad (DANO). The results of the first round will be announced on October 20th.

HSE Faculty of Computer Science Celebrates its First Graduates of the Data Science and Business Analytics Programme

At the beginning of July, the Data Science and Business Analytics programme at the HSE Faculty of Computer Science held its first graduation ceremony. Most graduates have already found jobs in various fields—Data Science, development, product management, systems analysis, and so on. Many of the bachelors plan to continue their studies at the best international and Russian universities, but they are not going to say goodbye. ‘We have been and will always be one big team,’ they say.

Bachelor's Programme in Data Science and Business Analytics Accredited by AI Alliance Russia

The ‘Data Science and Business Analytics’ bachelor’s programme at HSE Faculty of Computer Science has received professional and public accreditation by the AI Alliance Russia. This is the third programme of the faculty that has received accreditation from the AI Alliance Russia, following the bachelor's programme in  ‘Applied Mathematics and Information Science’ and the master’s programme in ‘Financial Technologies and Data Analysis’.  

HSE University and SAS—Training Top Data Experts

In August 2018, the HSE Faculty of Computer Science launched a Joint Department with SAS, a world leader in analytics software. The Department’s objective is to provide better training for future data experts. The HSE News Service reports on the ideas that have come to fruition and how academic teaching is combined with hands-on training there.