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ITER 2021 : 9th International Workshop (ITER 2021) Information Technology in Economic Research


When Sep 28, 2021 - Sep 28, 2021
Where Kherson, Ukraine
Submission Deadline TBD

Call For Papers

The use of computer programs in all sorts of economic simula-tions has become increasingly popular in the last years, produc-ing a wide variety of interesting applications for economics, finance and business.
The goals of the workshop are: (1) to help economists use IT in economic research and practice, in particular for simulation and forecasting; (2) to improve and refine the use of IT in the context of digital economics. The workshop is particularly de-signed for researchers, PhD students, master's students, indus-try practitioners and experts.
ITER 2021 invites papers on, but not strictly limited to, the following topics:
Fuzzy Logic and Neural Network Forecasting for Digi-tal Economics and Digital Business Models: develop-ment of the theory and methodology of neural networks and fuzzy logic in economics, practical solutions for specific eco-nomic construction applications within economic and mathematical models, and experimental studies on their effective-ness, contributions on how humans represent and use incomplete and uncertain data and knowledge in decision making neuromarketing ICT techniques, and machine learning tech-niques in business.
Digital advancements which can lead to the development of important applications such as digital currencies, blockchains; business model innovation, servitization with digital technologies, cloud-based architecture of enterprises, digital transformation of business models which lead to new ways of doing business, scalability of digital business models.

Data Science and Big Data in Evolutionary and Simulation Economics Under Sustainable Development: evolutionary dynamics and artificial agent-based modeling in eco-nomics, simulation methods in experimental economics, replicator dynamics and simulation analysis for economic systems and digital ecosystems, innovations in evolutionary model of economics, time-series simulation through econometric pack-ages, evolutionary game theory, stability and bifurcation analysis of economic systems.

Sustainable development in digital economics. Impact of big data on sustainable plans to ensure social equality and ecological stability. Data science techniques and numerical, mathematical and computer-based methods, which allow the gaining of insights from economics data. Application of data science tech-niques in finance and business, data mining using datasets for intelligent/autonomous economic systems, robo-advisors; big data in microeconomics, foundations and trends in machine learning for economic forecasting.

Intelligent Manufacturing and Information Systems: collaborative manufacturing and management in the context of Industry 4.0, information management systems for manufacturing enterprises, flexible/digital manufacturing systems, automation and robotics, smart manufacturing and Industry 4.0 strategy, intelligent decision support systems and transportation sys-tems, development of IT systems in which models take a central role for analysis of these systems, information system audit-ing, GIS based technologies for economic purposes, ERP and CRM systems, digital business platforms. The use of IT in algo-trading, portfolio analysis and asset management.

ICT Education for Economists: curriculum design and innovations, quality assurance and quality standards, e-CF and EQF standards, competencies and learning outcomes at national and international levels for ICT education in economic science; promotion of effective transfer of research results to the market, web applications for business goals and labor mar-kets; gamification of study process, FinTech industry in education, cloud technologies for informatics learning in business, economics, finance and accounting, university-enterprise col-laboration opportunities: promotion of knowledge transfer from university to industry in economic and business interactions. Quality assurance of IT-Education and its impact on the economy. Impact of IT education on the country's growth.

Submission Instructions and Publication
The language of ITER is English. All submissions shall be an-notated by the key words/phrases freely chosen by the authors. At least three and at most five key phrases have to be provided.
All submissions must comply with the Springer CCIS format guidelines. Formatting instructions and template are provided for your convenience at the ICTERI 2021 web site:
Submissions must be made in .pdf by using the EasyChair System (track ITER):
Please submit your paper to the ITER 2021 Workshop Track.
1. Only papers written in English can be recommended, if ac-cepted by the ITER PC, for publication in the ICTERI 2021 proceedings which will be published electronically at CEUR-WS (indexed by Scopus).
2. The best Workshop papers may be invited to be extended and published in special issues of Ukrainian journals. ITER traditionally cooperates with the Ukrainian journal: «Neuro-fuzzy modeling techniques in economics», indexed by Scopus (
3. The best Workshop papers may be invited to be extended and published in special issues of Central European Economic Journal (
4. The excellent Workshop papers written in English and se-lected by the ICTERI 2021 Steering Committee, among those presented at the conference, may be invited to be revised and extended for the ICTERI post-proceedings volume. The post-proceedings of ICTERI are traditionally published by Springer Communications in Computer and Information Science (CCIS) series (indexed by Scopus).
Evaluation and Presentation
Every submission will be evaluated by at least three members of the ITER Program Committee. Based on evaluation results, the best papers will be accepted for their presentation at the workshop and publication in the proceedings.
Workshop organizers will withdraw the paper from the publica-tion in CEUR-WS proceedings if the author(s) do not attend and present their papers on the workshop.

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