HSE is Broadening its Range of Skills in Big Data Analysis
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.
Big Data refers to the huge volumes of structured or unstructured information like social networks, documentary archives and stock market indicators. A specialist in Big Data has to, after processing vast amounts of data, produce results that a human can understand. The term Big Data came into use relatively recently, in 2008, and it’s only two years since it became a subject for academics to analyse which means the potential for study in this area is enormous.
Today, working with Big Data helps businesses to predict the probability of credits being returned or of a client leaving a certain company, but the use of Big Data is not limited to commercial interests. Physicists in CERN are using it in the search for new particles, for testing and refuting hypotheses about the structure of the Universe.
There will be several groups of researchers in the laboratory. The first group is working on Physics. Together with the Yandex School of Data Analysis which is part of the LHCb experiment, they will work on algorithms to analyse the vast mass of data accumulated at CERN while scientists observe how particles fall apart.
The head of the laboratory is Andrei Ustyuzhanin, Director of Joint Projects at the Yandex School of Data Analysis and the European Organisation for Nuclear Research (CERN). He says, ‘This laboratory will make it possible for us to broaden the skills at HSE in analysing different kinds of large amounts of data. We plan to cover issues in science and in business. We want to extract practical use from the data we have access to and enrich the search methods in this new area. Our plans for the immediate future are to build a team and look for new research applications.’
During the XX April International Academic Conference on Economic and Social Development, scheduled this year for April 9-12 at the Higher School of Economics, Dr David Garcia of the Complexity Science Hub Vienna and the Medical University of Vienna, Austria will present a report entitled ‘The digital traces of collective emotion’ at a session on ‘The Wellbeing of Children and Youth in the Digital Age.’ Ahead of the conference, Dr Garcia spoke with the HSE News Service about his conference presentation, his research, and plans for ongoing collaboration with HSE colleagues.
Sangam Kumar Singh has come from India to do a Master’s in Big Data Systems at the HSE School of Business Informatics in Moscow. He has chosen HSE due to its high standing in global university rankings such as QS and the Times Higher Education ranking as well as its focus on research and innovation. Having started his career in engineering within telecommunication business and later moving onto R&D application and analytics in the same area, he was drawn to HSE’s programme because it combines business, informatics and analytics and equips its graduates with the skills and knowledge required by our modern economy and ever-changing market dynamics.
On June 29, the third graduation ceremony for the double-degree Master’s programme in Big Data Systems (HSE, Russia) and Information Systems Management (UAS Technikum Wien, Austria) was hosted at the Austrian Ambassador’s Residence in Moscow. Dr. Hartmut Koller-Lenhardt, Chancellor at the Embassy of Austria in Moscow, gave the opening address. He congratulated the graduates on their successful completion of the programme and stressed the importance of cooperation between the universities in regards to cultural and professional communication and connections.
Fedor Ratnikov, a leading researcher at the Laboratory of Methods for Big Data Analysis (LAMBDA), has been appointed project coordinator in the SHiP collaboration. He will be responsible for developing and designing the detector’s active magnetic radiation shielding.
HSE will launch a new project called Data Culture in September 2017. Starting their very first year, HSE bachelor’s students will learn to work with data, and students in a number of programmes will also become familiarised with methods of machine-learning and artificial intelligence.
First Graduates Complete Double-degree Master’s Programme in Big Data Systems and Information Systems Management
On June 27, 2016, the first graduation ceremony for the double-degree Master’s programme in Big Data Systems and Information Systems Management was held at the Higher School of Economics in Moscow. The ceremony marks three years of successful collaboration between HSE and University of Applied Sciences Technikum Wien.
The Master’s programme in Big Data Systems at the Higher School of Economics focuses on the value aspect of big data for large enterprises and the implementation of big data technology in enterprises. Two current students of the programme share their thoughts about what drew them to HSE to study big data, what they hope to gain from the programme and what advice they would give to prospective international students.
In March 2016, the School of Business Informatics (Faculty of Business and Management) at HSE was visited by a delegation from France’s University of Évry; in late 2015, a student exchange agreement was signed between HSE and this university. The delegation brought 19 students from the Master’s programmes in the field of big data at the University of Évry to Moscow.
HSE has teamed up with the University of California at San Diego (ranked 14th on the ARWU ranking, 41st on THE, and 59th on QS) to launch the new Data Structures and Algorithms specialization on Coursera. The specialization is taught completely in English and consists of five interrelated courses. Registration is open until March 7.
Bruno Bauwens, an expert in Kolmogorov complexity, is a new recruit at the HSE Faculty of Computer Science. He started in September 2015. Bruno received his PhD from Ghent University in Belgium, after which he held postdoctoral fellowships at Porto University (Portugal), as well as at the University of Montpellier and University of Lorraine.