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Обычная версия сайта
Контакты

Адрес: 105187 г. Москва, Кирпичная ул., 33

Тел./факс: (495) 771-32-38

E-mail: bischool@hse.ru

Руководство

Руководитель Мальцева Светлана Валентиновна

Заместитель руководителя по научной работе Корнилов Василий Вячеславович

Заместитель руководителя по международному сотрудничеству Комаров Михаил Михайлович

Заместитель руководителя по работе с абитуриентами и выпускниками Самодуров Владимир Алексеевич

заместитель руководителя по учебной работе Цуканова Ольга Александровна

Статья
A Decision Phases of a Supply Chain Management: A Proposed Decision Support System to Boost Organizational Decision Making

Desmond D.K. Attadjei, Yash Madhwal, Peter B. Panfilov.

International Journal of Engineering and Technology (UAE). 2018. Vol. 7. No. 2.28. P. 157-159.

Глава в книге
A Nonlinear Dynamical Approach to the Interpretation of Microblogging Network Complexity

Dmitriev A., Дмитриев В. А., Tsukanova O. A. et al.

In bk.: Studies in Computational Intelligence. Vol. 689: Complex Networks & Their Applications VI. Springer, 2018. P. 390-400.

Препринт
Russia’s Water Resources 2030: Plausible Scenarios

Saritas O., Proskuryakova L. N., Sivaev S.

Science, Technology and Innovation. WP BRP. Высшая школа экономики, 2015. No. 42.

21st IEEE International Conference on Business Informatics

Мероприятие завершено
July 15-17, 2019, National Research University Higher School of Economics, Moscow, Russia

The IEEE Conference Series on Business Informatics is the leading international forum for state-of-the-art research in Business Informatics. IEEE CBI 2019 in Moscow calls for submissions in the multidisciplinary field of Business Informatics, and welcomes a multitude of theoretical and practical lenses, perspectives and mindsets on today’s challenges of the digital transformation.

Important Dates

Submission System open
October, 1st 2018

Call for Workshops (deadline for proposals)
December, 30th 2018

Short abstract submission deadline
January, 31 2019

Paper Submission deadline
March 1st 2019

Reviews due
May 1st 2019

Notification of acceptance
May 10th, 2019

Early registration deadline
June 1st, 2019

Submission of final version
June 1st, 2019


IEEE CBI 2019 encourages a broad understanding of Business Informatics research and intends to further its many different facets, theoretical foundation and experiential body of knowledge. The CBI series has proven a fertile ground for research with high impact, and a hub for multidisciplinary research with contributions from Management Science, Organization Science, Economics, Information Systems, Computer Science, and Informatics. Based on integrative socio-technical and socio-economical views, Business Informatics advances our knowledge and design for future challenges of the digital transformation.

The CBI series aims at creating a forum for researchers and practitioners from various fields and backgrounds that contribute to the construction, use and maintenance of information systems and their organizational use contexts. A dedicated goal of the CBI series of conferences is to bring together researchers from different fields and disciplines to stimulate discussion, synergy and collaboration. Accordingly, the CBI conferences use a format that enables in depth discussions among researchers during the conference. The benefits of such a cross-disciplinary conception are contrasted by a challenge: Authors who submit a paper take the risk to be assessed by standards that are different from those they are used to in their own research communities. The CBI’s organization accounts for this challenge by the various tracks covering different fields, their track chairs and program committee members and program chairs. Tracks are not only intended to represent a certain subject area, but also to include papers from different communities. 

Conference tracks

  • Enterprise Modelling, Engineering and Architecture
  • Business Process Management
  • Information Systems Engineering
  • Artificial intelligence for Business
  • Information management
  • Business Analytics and Business Data Engineering
  • Industry 4.0 (Industry Applications)
  • Business Innovations and Digital transformation
  • Data-Driven Business Applications
  • General Topics
  • Doctoral School