Data Analytics and Management in Data Intensive Domains (DAMDID) 2023

Videos of the conference

Videos of the conference with descriptions are posted in the playlist on the channel of the Moscow ACM SIGMOD Chapter

General Information
Venue
Submission
Conference topics

DAMDID conference was formed in 2015 as a result of transformation of the RCDL conference («Digital libraries: advanced methods and technologies, digital collections», http://rcdl.ru) with an intention to create a forum reflecting the urgent challenges of data organization, exploration and analysis in various data intensive domains (DID). The transformation was provided so that the continuity with RCDL has been preserved by the transformed conference as well as the RCDL community formed during the sixteen years of its successful work also has been preserved.

Exponential growth of data practically in all activity areas and consolidating role to be played by informatics and IT for the development of methods and facilities for data analysis and management in various data intensive domains (DID), study of experience of such methods application and stimulating of their advancement serve as a motivation for this conference organization

Main objective of this conference is to promote the acceleration of researches, improvement of their efficiency (quality and visibility of results, competitive ability) at the expense of the enhancement of methods and facilities for data analysis and management in DID. It is expected that the mutual complementarity of approaches in interdisciplinary DID will contribute to the creation of the corporate culture generalizing methods for data analysis and information systems development applicable in diverse DID.

The conference structure includes plenary invited talks and tutorials presented by the leading researchers, regular sessions containing regular and short presentations of the research results obtained in various conference tracks, as well as demo/poster sessions. Official languages of the conference are English and Russian. In frame of the conference the PhD Workshop is planned that is oriented on the young researchers. Co-located with the conference the satellite events are also planned including workshops (open and by invitation) and invited sessions.

The selection of papers for the Conference is made according to the results of the independent reviewing of a submission by three members of the Program Committee. The Program Committee can accept work for presentation as a regular paper, short paper, poster or demo.

Host organizers

National Research University “Higher School of Economics” (HSE University)
Federal Research Center "Computer Science and Control" of RAS (FRC CSC RAS)
Moscow ACM SIGMOD Chapter

The XXV International Conference "Data Analytics and Management in Data Intensive Domains" (DAMDID/RCDL 2023) will be held during October 24-27, 2023 in Moscow at the Faculty of Computer Science, National Research University “Higher School of Economics”.

National Research University Higher School of Economics (HSE Univeristy) is one of Russia’s leading academic institutions. More information about HSE University can be found here.

In 2023, face-to-face Conference events will be held at the University’s main complex, which is located at 11 Pokrovsky Boulevard.

More information about the Pokrovka Complex can be found here.

Target audience

For participation at the conference the specialists from such DID as X-informatics (where X = astro, bio, chemo, geo, medicine, neuro, physics, etc.), social science, economy, finance, etc., as well as specialists in the areas of statistics, data mining, machine learning, informatics, data science, new technologies and IT, business, etc. are invited. Representatives of RCDL community are invited for submission of papers related to usual for RCDL topics, such as conceptual modeling, ontologies, data semantics, linguistics, NLP, multilingual text data, organization of new scientific data collection tutorials. Students and PhD students are welcome to participate at the conference with any kind of contribution related to the conference.

Categories of contributions to be submitted for publication and presentation

regular papers reflecting original scientific results (from 10 to 15 pages);
short papers (work in progress) (from 5 to 9 pages);
posters (up to 4 pages);
demos (up to 4 pages);
tutorials (proposals should be submitted to the PC co-chairs).

For reviewing process papers of any category are submitted to the Program committee in digital form by the EasyChair system in PDF in strict conformance with the LNCS Word or Latex format.

Requirements to the final versions of accepted papers will be declared in accordance with suggested journal requirements after the final decision of the program committee.

Conferences DAMDID/RCDL hold face to face. Acceptance of a paper by the Program Committee assumes mandatory registration at the conference site (should be done before the camera ready submission deadline) and participation of at least one of the authors at the conference and personal presentation of the work. Remote participation exceptions should be negotiated with PC Co-Chairs.

In addition to the option of publication in journals, a set of revised selected papers will be included into the conference proceedings volume submitted to Springer-Nature CCIS series upon the PC committee decision and the author(s)' choice.17:00

The open list of topics proposed for submission is organized in form of the tracks presented in the list given below. It is important to note that such classification is valid only on the period of submission, reviewing and selection of papers. The structure of the conference program is defined by the Program committee relying on the selected papers and does not necessarily reflects the submission track structure. All tacks are open for submission of any categories of contribution including regular papers, short papers, posters, demos, tutorials.

Tracks for data analysis, problem solving, and experiment organization

Problem statement and solving: urgent problem or phenomena required study in a specific domain or in a generalized way, thorough insight based on the nature, characteristics of the phenomenon and data available, approaches for organization of problem solving and methods selection, problem classification in various domains, process of problem solving and tools applied.
Organization of experiments: survey of approaches for the organization of experimental research, scientific theory justification, experiment simulation, research cycles, robotization, infrastructures for experiment organization, reproducing of results, workflow metadefinition and reuse, verification of results, comparison of new results with those obtained earlier.
Hypotheses and models as constituents of research experiments: methods and facilities for hypotheses generation and testing, construction of computerized models, models as a mean for theory and hypothesis verification, cognitive modeling paradigm, experience of creation of predictive models in research.
Advanced data intensive analysis methods and procedures: state of the art in methods of statistics, data mining, machine learning, multivariate analysis, evaluation of methods generality and specialization, orientation of methods on specific domains and kinds of data, classification of methods, systematization of experience of methods application for problem solving, cognitive analytics for data-driven decision making, information visualization and exploratory analysis, meta-analysis methods, Big Data analytics efficiency and scalability, new data analysis methods development.
Conceptual modeling: formalization of semantics of the subject domains, conceptual specification of problems and evolution of ontologies in specific domains, experience of applying of various models and tools for ontology support, semantic annotation for concept formation, progress of ontological modeling, ontological models use for database schema specification, independence of conceptual specification of data, abstract specification of algorithms and workflows in the conceptual models, semantic interoperability of programs.
Research support in data infrastructures, data intensive use cases: functions and architectures of facilities for research support (virtual laboratories/observatories, data centers), cross-infrastructure interoperability and data sharing between interdisciplinary researches, data intensive use cases for research data infrastructures, experience of use case implementation.

Tracks for data management

Methods, tools and infrastructures for data acquisition and storage: advanced projects, experience of data acquisition and storage in long-living projects, comparative analysis of the projects, project surveys, facilities and approaches for data collecting and storage, specificity of semantics, structure and characteristics of data (including streaming data), data representation, metadata organization, data quality, data provenance (including taking them from the literature), data cleansing, problems of Big Data storage.
Data integration: methods and tools for entity resolution and fusion in the Big Data infrastructures, unification of various data models (such as NoSQL, graph-based, RDF-based, array-based models), canonical data models and their synthesis, schema and ontology matching and mapping, methods and tools for virtual data integration, application-driven subject mediators, semantic integration of data, data warehouses, ETL process support, multidimensional data models, data integration in hybrid infrastructures supporting structured, semi-structured and non-structured data, infrastructures of data integration systems, application of data integration facilities in specific domains.
Information extraction from observational data: issues of extracting the most complete and up-to-date information from data in astronomy, spectroscopy, material science, medicine, etc.; application of data analysis methods to classify objects and search for anomalies
Information extraction from texts: identification and extraction of structured information from the texts, declarative languages and methods for information extraction, linguistic methods, NLP, multilingual textual data, instruments for textual analysis.
Research data infrastructures and their applications: various data infrastructures, based on data and compute-intensive platforms (such as clouds and grids, distributed clusters, supercomputers, parallel database machines, etc.), new models for data intensive programming in such infrastructures and Big data platforms, metadata and modeling in data infrastructures, virtualization based technologies, evaluation of performance of data infrastructures, scalability issues.
Semantic Web role in DID: languages, tools, and methodologies for representing and managing data, semantics and reasoning on the Web, semantic interoperability and cross identification of the Semantic Web resources, spatio-temporal Semantic Web data and ontologies, harvesting of Semantic Web data from diverse data collections, Web data quality and provenance, multidialect architectures for declarative conceptual specification and problem solving over heterogeneous collections of data, application of Semantic Web facilities for problem solving, linked open data.

Accomodation
Transport and Logistics

The hotels with easy walking access to HSE

Hotel "Hermitage" on Pokrovka****

Address: Durasovsky lane, 7
Chkalovskaya metro station

10-13 minutes reach to the nearest metro station
2-3 minutes reach to campus on Pokrovsky Boulevard, 11

The small, cozy Hermitage Hotel is located in the very heart of the capital, in a quiet Durasovsky Lane, not far from Pokrovsky and Chistoprudny Boulevards, within walking distance from the main attractions of the city center: Red Square, Kitai Gorod and Chistye Prudy.

Rooms: 96 comfortable rooms of various categories: single room Economy (SGL), single SNG, double room with twin beds TWIN, double room with double bed DBL, junior suite, suite.

Guests have access to: 2 restaurants, a cafe and a banquet hall, a sauna, a fitness center, a beauty salon, conference rooms, free Wi-Fi

Contacts: +7 (495) 917-19-19, +7 (495) 627-50-00, 5064545@mail.ru.

Guests of the conference can use the promo code HSE to receive a 15% discount.

Maroseyka 2/15 hotel, 3***

Adress: Maroseyka 2/15 (Kitay-gorod metro station)

The hotel “Maroseyka 2/15″ is situated at the center of Moscow, at the crossing of Maroseyka street and Lubyanka direction. There are beautiful views from the hotel on the Square, Old Town Square, The Monument to the Heroes of Plevna, Maroseyka, Ilinka streets and the Kremlin’s Spasskaya Tower.

Agios Hotel on Kurskaya, 3***

Adress: Vorontsovo Pole St., 16/4 (Kurskaya metro station)

Agios hotel on Kurskaya is situated at the central part of the city near the Garden ring. Boulevard ring is situated 5-7 minutes walking distance from the hotel. It takes 10 minutes to reach the hotel from the closest metro station Kurskaya on foot.

The Pokrovka Complex is in walking distance from the following metro stations: Kurskaya, Chkalovskaya, Chistye Prudy, Turgenevskaya, Sretensky Bulvar and Kitai-Gorod.

Route from Kurskaya metro station

Route from Chkalovskaya metro station

Route from Chistye Prudy metro station

Route from Kitay-Gorod metro station

The Pokrovka Complex can be reached by Tram routes A, 3 and 39 from Chistye Prudy, Turgenevskaya and Sretensky Bulvar metro stations.

In addition, you can use the complex’s navigation app (available through Google Play and App Store).

Committees

Program Committee
Organizing Committee
Coordinating Committee

General Chair

Sergei O. Kuznetsov, HSE University, Russia

Co-Chairs

Dmitry I. Ignatov, HSE University, Russia
Sergey Stupnikov, FRC “Computer Science and Control”, RAS, Russia
Jaume Baixeries, Universitat Politecnica de Catalunya

Members

Sergey Stupnikov, Institute of Informatics Problems, Russian Academy of Sciences
Anastasia Mezentseva, A.P. Ershov Institute of Informatics Systems, Siberian Branch, Russian Academy of Sciences, Novosibirsk
Valery Sokolov, Yaroslavl State University
Vladimir, Serebryakov Computing Centre of the RAS
Yury Gapanyuk, Bauman Moscow State Technical University
Anna Glazkova, University of Tyumen
Manuel Mazzara, Innopolis University
Alexander Veretennikov, Ural Federal University
Dmitry Borisenkov, Voronezh State University
Mikhail L. Zymbler, South Ural State University
Dmitry Kovalev, IPI RAN
Alexey A. Mitsyuk, HSE
Francesco Mercuri, DAIMON Team - CNR-ISMN
Ildar Baimuratov, ITMO University
Sergey Makhortov, Voronezh State University
George Chernishev, SPbU
Yury Zagorulko, A.P. Ershov Institute of Informatics Systems, Russian Academy of Sciences
Nikolay Skvortsov, FRC CSC RAS
Fail Gafarov, Kazan Federal University
Ilya Sochenkov, Federal Research Center "Computer Science and Control" of Russian Academy of Sciences, Moscow, Russia
Eugene Ilyushin, Lomonosov Moscow State University
Jaume Baixeries, Universitat Politecnica de Catalunya
Dmitry Ignatov, HSE University
Dmitry Namiot, MSU
Natalia Loukachevitch, Research Computing Center of Moscow State University
Pavel Velikhov, YDB
Alexei Pozanenko, Space Research Institute
Nadezhda Kiselyova, A.A. Baikov Institute of Metallurgy and Materials Science of RAS
Roman Samarev, Bauman Moscow State Technical University
Alexander Afanasyev, IITP RAS
Anna Grinevich, Institute of Philology of Siberian Branch of Russian Academy of Science
Dana Kovaleva, Institute of Astronomy, Russian Academy of Sciences
Victor Zakharov, IPI RAN
Alexander Fazliev, Institute of Atmospheric Optics
Manfred Sneps-Sneppe, Ventspils University of Applied Sciences
Sergej Znamenskij, Ailamazyan Pereslavl University
Sergei Kuznetsov, Ivannikov Institute for System Programming of the RAS
Oleg Malkov, Institute of Astronomy, Moscow
Vitaliy Kim, HSE
Boris Dobrov, Recearch Computing Center of Moscow State Univ.
Vasily Bunakov, STFC
Dmitry Nikitenko, Moscow State University
Alexander Sychev, Voronezh State University
Igor Fiodorov, Plekhanov Russian University of Economics (PRUE)
Dmitrii Deviatkin, Institute for Systems Analysis
Ivan Luković, University of Belgrade, Faculty of Organizational Sciences
Irina Filozova, JINR
Mikhail Melnikov, Federal Research Center of Fundamental and Translational Medicine
Aleksei Romanov, ITMO University
Bernhard Thalheim, Christian-Albrechts-Universität zu Kiel
Mirjana Ivanovic, University of Novi Sad, Faculty of Sciences, Department of Mathematics and Informatics
Archil Maysuradze, Lomonosov Moscow State University
Panagote Pardalos, University of Florida
Alexander, Elizarov Kazan Federal University
Jeyhun Karimov ,Technical University of Berlin
Evgeny Lipachev, Kazan Federal University

Nadezda Zotova (nzotova@hse.ru, Telegram: @NudniiShmel)
Larisa Antropova
Pavel Zhidkih

Volunteers

Majid Sohrabi
Stefan Nikolić
Sergey Lvov

Co-Chairs

Nikolay Kolchanov, academician RAS, Institute of Cytology and Genetics, SB RAS, Novosibirsk
Igor Sokolov, academician RAS, FRC “Computer Science and Control” of RAS, Russia

Deputy chair

Sergey Stupnikov, FRC “Computer Science and Control” of RAS, Russia

Members

Arkady Avramenko – Pushchino Radio Astronomy Observatory, RAS, Russia
Pavel Braslavsky – Ural Federal University, SKB Kontur, Russia
Vasily Bunakov – Science and Technology Facilities Council, Harwell, Oxfordshire, UK
Alexander Elizarov – Kazan (Volga Region) Federal University, Russia
Alexander Fazliev – Institute of Atmospheric Optics, RAS, Siberian Branch, Russia
Alexei Klimentov - Brookhaven National Laboratory, USA
Mikhail Kogalovsky – Market Economy Institute, RAS, Russia
Vladimir Korenkov – JINR, Dubna, Russia
Sergei Kuznetsov, Ivannikov Institute for System Programming of the RAS
Vladimir Litvine – Evogh Inc., California, USA
Archil Maysuradze – Moscow State University, Russia
Oleg Malkov – Institute of Astronomy, RAS, Russia
Alexander Marchuk – Institute of Informatics Systems, RAS, Siberian Branch, Russia
Igor Nekrestjanov – Verizon Corporation, USA
Boris Novikov – St.-Petersburg State University, Russia
Nikolay Podkolodny – ICaG, SB RAS, Novosibirsk, Russia
Aleksey Pozanenko – Space Research Institute, RAS, Russia
Vladimir Serebryakov – Computing Center of RAS, Russia
Yury Smetanin – Russian Foundation for Basic Research, Moscow
Vladimir Smirnov – Yaroslavl State University, Russia
Sergey Stupnikov – Federal Research Center “Computer Science and Control” of RAS
Bernhard Thalheim - Kiel University
Konstantin Vorontsov – Moscow State University, Russia
Viacheslav Wolfengagen – National Research Nuclear University "MEPhI", Russia
Victor Zakharov – Federal Research Center “Computer Science and Control” of RAS, Russia

Contacts

Contact person: Dmitry Ignatov
✉ Email: dignatov@hse.ru

HSE University
11 Pokrovsky blvd, Moscow, Russia
🚇 Kurskaya, Chistye Prudy

Data Analytics and Management in Data Intensive Domains" (DAMDID/RCDL 2023)

HSE University, Moscow October 24-27, 2023