1. Interdisciplinary: This research area involves collaboration and integration of knowledge from different fields to address complex problems or questions. 2. Data-driven: Research in this area relies heavily on collection, analysis, and interpretation of data to draw conclusions and make informed decisions. 3. Experimental: Researchers in this area conduct experiments to test hypotheses and explore cause-and-effect relationships. 4. Theoretical: This research area focuses on developing and testing theoretical frameworks or models to explain phenomena and predict outcomes. 5. Quantitative: Research in this area involves the use of numerical data and statistical analysis to quantify relationships and trends. 6. Qualitative: This research area involves the collection and analysis of non-numerical data, such as interviews, observations, and case studies, to gain insights and understanding. 7. Applied: Research in this area aims to address real-world problems and practical applications, often leading to the development of new technologies or interventions. 8. Basic: This research area focuses on foundational knowledge and understanding of fundamental principles, without immediate practical applications in mind.