The workshop on ‘Big Data and Applications’ was organized by HSE School of Business Informatics, Institut Mines-Télécom in association with CNRS MADICS with the support of the French Embassy in Russia, and the French Ministry of Higher Education, Research and Innovation.
Participants of the ‘Big Data Applications’ research workshop, which took place in the beginning of December, discussed big data and prospects for Russian-French cooperation in this area. The workshop, held at HSE, brought together about 50 participants from leading research centres, universities, governmental bodies and IT companies in both Russia and France.
What influence does big data have on today’s world? What is a ‘data scientist’ and what skills does one need? Those were the subjects of a lecture at HSE by HSE honorary professor Will van der Aalst, from Eindhoven Technical University (Netherlands).
HSE and Yandex have opened a laboratory for methods of Big Data analysis at the HSE Computer Science Faculty (LAMBDA). The purpose of the new academic research lab is to create a world-class research centre to solve fundamental issues in computer science and develop methods for processing and analysing Big Data.
The Second International Conference on Information Technology and Quantitative Management (ITQM 2014) took place on June 3-5, drawing 120 professionals from 29 countries to consider issues of model performance and decision-making algorithms when processing large amounts of data.
Over the course of 20 years, since the beginning of contemporary medicine’s transition into a digital format, a vast amount of largely unused data has amassed. The analysis of these data and the extraction of a new logic of control from them is one of the most popular areas of focus in applied mathematics, Oleg Pianykh, Professor in HSE’s Department of Data Analysis and Artificial Intelligence and an Associate Professor at Harvard Medical School, said in a report. His report, 'Big Data in Medicine: How to Make them Work,' was presented at HSE’s academic seminar 'Mathematical Models of Information Technologies.'