Developed Strategic Plan for Economic Research Publications
- Day: 2024-06-07
- Time: 19:30 to 20:05
- Project: Business
- Workspace: WP 1: Strategic / Growth & Development
- Status: Completed
- Priority: MEDIUM
- Assignee: Matías Nehuen Iglesias
- Tags: Economic Research, Publication Strategy, Journals, Quantitative Analysis, Economic Theories
Description
Session Goal
The session aimed to develop a strategic plan for publishing economic research, focusing on high-impact journals and effective dissemination strategies.
Key Activities
- Identified potential high-impact journals for publishing research related to economics, international trade, and quantitative analysis.
- Outlined a mathematical framework for analyzing log-normal and log-Laplace distributions, focusing on quantile analysis and covariance.
- Created a structured outline for research papers, covering model calibration, results, limitations, and future research directions.
- Developed a hierarchical structure for research on economic fluctuations, detailing sections on covariance, variance, and nonlinearities.
- Planned the distribution of content into three papers on French international trade, focusing on micro-level analysis, statistical characteristics, and economic implications.
- Discussed the integration of empirical guidance, nonlinear modeling, and micro-level data analysis in economic research.
- Critiqued various economic theories based on empirical analysis and proposed new approaches.
- Formulated a strategic publication plan, identifying target journals and leveraging academic networks.
Achievements
- Completed a comprehensive strategy for economic research publications, including journal selection and publication strategy.
- Developed detailed outlines and frameworks for upcoming research papers.
Pending Tasks
- Finalize the selection of journals and submission timelines.
- Further refine the research outlines and ensure alignment with publication goals.
Evidence
- source_file=2024-06-07.sessions.jsonl, line_number=0, event_count=0, session_id=82fabff1dc0f5d5f584bd6d064cac179e4ef4cf857741ad006b8c78f8ccaf974
- event_ids: []