Skill UI

Provides comprehensive guidelines for constructing self-contained, highly legible tables and figures for population and development research manuscripts. It emphasizes that exhibits must communicate not only raw demographic patterns but also their broader development and policy significance to a wide, non-specialist readership (e.g., economists, environmental scholars). Key principles include showing uncertainty, using appropriate specialized graphics (e.g., population pyramids, survival curves), and maintaining data reproducibility.

A comprehensive guide to help researchers pressure-test if their project aligns with the scope of Population and Development Review (PDR). It teaches how to frame research by connecting demographic processes (e.g., fertility, aging) to broader social, economic, or environmental development issues, ensuring the contribution has broad policy interest beyond narrow estimation.

An expert orchestrator and routing guide for manuscripts submitted to the Population and Development Review (PDR). It helps users determine the appropriate specialization path, whether they are starting an idea, refining the theory, or finalizing the submission. It matches the content's lifecycle stage and article type (e.g., Research Article, Notes & Commentary) to the correct development pipeline, ensuring the deep connection between population dynamics and societal policy is maintained.

A comprehensive guide for academic writers in demography and development studies. It teaches authors how to transform technical, results-heavy manuscripts into lucid, essayistic, and argument-driven narratives. Focuses on linking population quantities to their broad development and policy implications, ensuring readability for diverse non-specialist academic audiences and adhering to specific journal house conventions.

This guide outlines the rigorous data and transparency requirements for submitting academic manuscripts, particularly for social science journals. It details two core components: methodological disclosure via 'Appendix A: Disclosure Elements' and building a complete replication package. Authors must ensure all published tables and figures can be reproduced exactly using deposited data and code in a permanent archive (Dataverse) before the paper advances to typesetting.

This comprehensive guide outlines the requirements for submitting computational artifacts for post-acceptance evaluation at PPoPP. It details PPoPP's unique badge policy (Functional, Reusable, Results Reproduced), addresses the challenges of ensuring results reproduce across different hardware architectures, and provides a detailed packaging plan, including containerization, README structure, and provenance documentation for maximizing reproducibility.

A comprehensive guide for executing and reporting quantitative analyses for high-stakes public policy research. This skill emphasizes methodological rigor, demanding transparency in uncertainty reporting (effect size, intervals), robust checks (heterogeneity, alternative specifications), and ensuring full reproducibility through master scripts and pinned versions for journal submission.

This guide provides best practices for positioning a scholarly manuscript within the field of public administration. It instructs authors on how to elevate their niche contributions into field-wide debates, ensuring the paper speaks to both academic scholars and practicing managers. It emphasizes linking theory gaps to practical policy stakes.

This comprehensive framework guides the rigorous design and defense of research in public administration. It covers essential causal inference methodologies, including Difference-in-Differences (DiD), Instrumental Variables (IV), Regression Discontinuity (RD), and various experimental designs on bureaucrats and citizens. Use this guide when defining identification, responding to reviewer critiques regarding causality, or pre-registering a study, ensuring the design is both academically sound and practically relevant to public policy.

This skill guides authors in transforming empirical research findings into a robust theoretical contribution for Public Administration. It emphasizes articulating clear mechanisms, defining necessary scope conditions, and providing actionable "Evidence for Practice," ensuring the work advances both academic theory and real-world policy.

This skill guides researchers through the rigorous process of evaluating if their public administration project meets the standards of high-impact academic journals like the Public Administration Review (PAR). It ensures the work not only advances scholarly theory but also delivers actionable, credible 'evidence for practice' for real-world public managers and policymakers. Essential for refining scope and target venue.

A comprehensive guide and heuristic tool for assessing whether an academic manuscript is suitable for high-level public administration and policy journals, specifically referencing Public Administration and Policy Review. It details required scope, suitable methodologies (e.g., policy evaluation, case studies, mixed methods), structural requirements (anonymity, abstract formatting), and common rejection pitfalls to guide authors toward rigorous academic writing.