Tuesday, October 24, 2023 - Friday, October 27, 2023      National Research University "Higher School of Economics"     Moscow, Russia

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".

"Data Analytics and Management in Data Intensive Domains" conference (DAMDID) is planned as a multidisciplinary forum of researchers and practitioners from various domains of science and research promoting cooperation and exchange of ideas in the area of data analysis and management in data intensive domains. Approaches to data analysis and management being developed in specific data intensive domains of X-informatics (such as X = astro, bio, chemo, geo, medicine, neuro, physics, etc.), social sciences, as well as in various branches of informatics, industry, new technologies, finance and business are expected to contribute to the conference content.

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

Important Dates:

  • Submission deadline for papers: June 15, 2023 - deadline extended!
  • Submission deadline for tutorials: June 01, 2023
  • Notification for the first round: July 17, 2023
  • Final notification of acceptance: September 01, 2023
  • Camera-ready papers: October 02, 2023
  • Conference: October 24-27, 2023.

Official languages of the conference are both English and Russian. A submission may be presented in any language.

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.

National Research University "Higher School of Economics", Federal Research Center "Computer Science and Control" of the Russian Academy of Sciences, Moscow ACM SIGMOD Chapter