Aims & Scope

Aims and Scope

International Scientific Technical and Economic Research (ISTAER) is a peer-reviewed, multidisciplinary international journal dedicated to breaking down disciplinary barriers and promoting deep interdisciplinary collaboration and innovation in science, technology, engineering, economics, and all fields of human knowledge. This journal is an ideal platform for showcasing high-quality research that is scientifically sound, methodologically rigorous, and adheres to the highest ethical standards.

Core Methodological Requirements

ISTAER's core philosophy is "interdisciplinary research grounded in science and engineering methodologies," and its core identity is "comprehensive."

With the exception of the Economics and Management field, all submissions must employ rigorous quantitative and computational methods as the foundational basis of the research. The journal does not accept purely theoretical speculation, purely descriptive textual studies, or research relying solely on qualitative analysis. All studies should clearly feature methodological characteristics from science and engineering, such as specific algorithms, models, simulations, data analysis, or computational experiments.

Exception Note: Submissions in the field of Economics and Management may be based on rigorous empirical analysis (such as econometric regression, statistical analysis, quantitative analysis of case data). However, research employing more advanced computational methods (such as machine learning prediction, system dynamics simulation, multi-agent modeling) is strongly encouraged.

Scope and Coverage

ISTAER welcomes original research papers that demonstrate a deep integration of computational methods with specific domain problems and explore a wide range of complex challenges from traditional disciplines to emerging frontiers. Regardless of the core science/engineering algorithm or model your research is based on (such as optimization algorithms, machine learning, deep learning, system dynamics, multi-agent systems, digital twins, computer vision, etc.), if you can find its point of integration with any other field—ISTAER is the ideal platform to showcase your work.

We particularly encourage submissions that propose novel algorithms, models, or frameworks, or that demonstrate innovative applications of existing methods to significant real-world problems. We warmly welcome multidisciplinary and interdisciplinary research that deeply integrates core methodologies from science, engineering, and mathematics with fields including, but not limited to:

1. Humanities and Arts

(Must employ computational/modeling/simulation methods, such as neural networks, Hidden Markov Models, Bayesian modeling, genetic algorithms, computer vision)

  • Linguistics: Computational linguistics, quantitative corpus analysis
  • Philosophy: Computational modeling of concepts, formalization of logic
  • History: Text mining of historical documents, quantitative analysis of historical data
  • Archaeology: Statistical analysis of archaeological data, computer simulation of site evolution
  • Musicology: Algorithmic research on music generation, quantitative assessment of performance techniques
  • Fine Arts and Design: Generative design algorithms, machine learning classification of style features, automatic color scheme generation
  • Theater and Film Studies: Computational models for audience emotion recognition, quantitative analysis of film/television data
  • Art Theory: Quantitative feature extraction of artistic styles, computational cognitive modeling of artistic creation

2. Social Sciences

(Must employ computational/modeling/simulation methods, such as social network analysis, multi-agent simulation, affective computing, Bayesian inference)

  • Psychology: Computational modeling of cognitive processes, machine learning analysis of behavioral data
  • Sociology: Simulation modeling of social phenomena, big data mining from social media
  • Anthropology: Quantitative models of human behavior, computer simulation of cultural evolution
  • Political Science: Game theory modeling of political behavior, system dynamics simulation of policy effects
  • International Relations: Computer simulation of international conflicts, quantitative analysis of diplomatic texts
  • Communication Studies: Network analysis of information dissemination, user profiling and behavior prediction

3. Economics and Management

(May be based on rigorous empirical analysis, such as econometric regression, structural equation modeling; computational methods are strongly preferred)

  • Economics: Energy economic demand forecasting, macroeconomic modeling, behavioral economics experiments
  • Finance: Quantitative trading strategies, risk management models, financial market simulation
  • Management Science: System dynamics analysis of enterprise efficiency, management decision optimization models
  • Marketing: User behavior prediction, recommendation algorithms, quantitative evaluation of marketing effectiveness
  • Logistics and Supply Chain Management: Supply chain optimization algorithms, multi-agent collaborative decision-making
  • Innovation and Entrepreneurship: Technology innovation diffusion models, simulation of entrepreneurial ecosystems

4. Educational Sciences

(Must employ computational/modeling/quantitative analysis methods, such as learning analytics, educational data mining, recommendation algorithms)

  • Educational Technology: Personalized learning path recommendation, intelligent tutoring systems
  • Learning Analytics: Student behavior modeling, learning outcome prediction
  • Curriculum and Instruction: Quantitative evaluation of teaching strategies, educational experiment design
  • Educational Management: Optimization of educational resource allocation, educational policy simulation
  • Teacher Development: Teacher competency evaluation models, quantitative analysis of teacher behavior

5. Law and Policy

(Must employ computational/modeling/quantitative analysis methods, such as legal text mining, policy simulation, judicial data analysis)

  • Legal Theory: Computational models of legal reasoning, formalization of legal logic
  • Intellectual Property: Patent data analysis, knowledge graph construction
  • Science and Technology Policy: System dynamics simulation of policy effects, construction of innovation indicator systems
  • Public Administration: Public service efficiency evaluation, open government data analysis
  • Forensic Science: Quantitative evidence analysis, machine learning on judicial data

6. Medicine and Health

(Must employ computational/modeling/quantitative analysis methods, such as medical image processing, biosignal analysis, clinical prediction models)

  • Biomedical Engineering: Physiological signal processing, medical image recognition
  • Sports Science: Sports injury risk warning, automated movement quality assessment, biomechanical modeling
  • Rehabilitation Medicine: Quantitative evaluation of rehabilitation outcomes, human-computer interaction modeling for assistive technologies
  • Public Health: Disease transmission modeling, health big data analysis
  • Nursing Science: Nursing decision support systems, nursing process optimization simulation
  • Clinical Decision Support: Diagnostic prediction models, treatment plan optimization algorithms

7. Other Interdisciplinary Fields

Any other discipline capable of meaningful integration with science and technology to generate new knowledge, methods, or applications, provided it conforms to the journal's core methodological requirements.

Our Commitment

ISTAER is committed to providing an open and inclusive academic exchange platform for all scholars seeking to combine precise scientific methods with a broad spectrum of human knowledge. We firmly believe that the greatest innovations often emerge at the edges and intersections of disciplines—but all such innovations must be built upon a foundation of methodological rigor.

Evaluation Criteria

All submissions will be rigorously evaluated based on:

  • Scientific validity and methodological rigor (conformity with the journal's core methodological requirements)
  • Novelty and originality of the contribution
  • Relevance to the journal's aims and scope
  • Clarity and quality of presentation
  • Adherence to ethical research standards

By promoting deep integration and intellectual exchange between the fields of technology, science, and application, ISTAER aims to expand the boundaries of knowledge and provide innovative solutions to address contemporary social and industrial challenges.