Author Guidelines

Author Guidelines 

1. Paper Relevance  
Future-Public Administration and Policy Innovations (PAPI)* publishes original, high-impact research on technological and analytical innovations in governance and policymaking. Submissions should address critical challenges in public administration, proposing reproducible, scalable solutions with clear policy relevance. Topics include AI-driven governance, semantic policy analysis, crisis management systems, and digital government transformation.  

We welcome:  
- Theoretical advancements with actionable insights for policymakers.  
- Empirical studies demonstrating real-world applicability in government or public sectors.  
- Case studies that evaluate policy implementations or digital transformation initiatives, provided they offer generalized lessons for the field.  

2. Scope of Topics
PAPI encourages submissions across these key areas:  
- Semantic Network Analysis for Policy Texts  
- Intelligent Reengineering of Government Services  
- Multi-Source Data Fusion for Public Crisis Warning  
- Maturity Frameworks for Digital Government
- AI Applications in Policy Decision-Making  
- Comparative Governance Innovations  
- Smart City and IoT Solutions for Public Administration 

3. Criteria for Judging Papers
Manuscripts are evaluated based on:  
- Originality: Novel methodologies or findings in public administration/policy innovation.  
- Policy Relevance: Clear implications for governance practice or reform.  
- Technical Rigor: Robust data, reproducible methods, and analytical validity.  
- Clarity: Well-structured arguments adhering to academic standards.  

Submissions failing these criteria may be rejected or require revision.  

4. Expectations for Paper Content  
Accepted papers must:  
- Define the problem and its significance for public administration/policy.  
- Demonstrate novelty through comparisons to existing approaches.  
- Provide evidence: Empirical results, case studies, or policy evaluations.  
- Include practical recommendations for policymakers or government agencies.  

5. Paper Types 
- Theoretical/Methodological: New frameworks for policy analysis or governance models.  
- Empirical: Data-driven studies (e.g., AI applications in bureaucracy).  
- Case Studies: Evaluations of policy implementations or digital transformation projects.  

6. Manuscript Specifications  
- Template: Use the [PAPI template](includes sections for abstract, keywords, introduction, methodology, results, and policy implications).  
- Abstract: 150–250 words summarizing objectives, methods, and policy relevance.  
- Keywords: 5–7 terms (e.g., "digital government," "crisis management").  
- Length: No strict limit, but concise and focused.  
- Figures/Tables: High-resolution (300 dpi), labeled, and referenced in-text.  
- Equations: Numbered sequentially with defined notation.  
- References: IEEE style, numbered in order of appearance.  
- Supplementary Materials: Datasets, code, or extended analyses (submitted separately).  

7. Authorship & Submission Policies
- Authorship: All authors must meet [PAPI criteria].  
- Ethics: No plagiarism, duplicate submissions, or undisclosed conflicts of interest.  
- Submission: Via [PAPI’s online portal]. Contact papi@fupress.org for queries.  

8. Submission Process  
1. Prepare manuscript using the [PAPI template].  
2. Submit via the [journal portal].  
3. Track progress via the editorial system.  

For assistance, email papi@fupress.org.