兰德-连接数据和决策-从共同生产中大西洋气候工具中吸取的经验教训（英）-2025.6_36页_2mb

Bridging Data and Decisions: Lessons from Co-producing Climate Tools for the Mid-Atlantic

This working paper synthesizes insights from eight years of collaboration by the Mid-Atlantic Climate Adaptation Partnership (MARISA) in developing climate data tools. The research underscores the need for user-centered design in climate services to bridge the gap between complex climate science and actionable policy decisions.

The study analyzed co-production experiences, finding that:

1. An iterative approach involving continuous stakeholder feedback throughout the development lifecycle enhances tool usability and relevance
2. Visualizations that align with regional decision-making needs (like seasonal relevance) increase adoption
3. Capacity constraints among users necessitate tools offering varying complexity levels
4. Maps showing usage patterns highlight disparities in outreach to smaller/local governments

Best Practices for Climate Data Tool Development

The research identified six key practices:

1. Address User-Defined Data Gaps - Align tools with specific user information needs
2. Design for Real-World Integration - Ensure tools work within existing workflows and decision processes
3. Match Complexity to Capacity - Offer options suitable for different levels of technical expertise
4. Prioritize Iteration - Implement ongoing development cycles based on user feedback
5. Build in Continuous Improvement Mechanisms - Create feedback systems that ensure long-term evolution
6. Support Use with Complementary Resources - Provide guides, training materials and interpretation tools

Challenges and Limitations

Researchers identified several barriers:

• Post-publication feedback mechanisms remain underutilized
• Smaller/jurisdictional users show limited engagement
• Automatic data refresh capabilities lag due to technical constraints
• Further research needed on standardized practices for communicating future scenarios

The paper concludes by recommending enhanced support for user feedback systems and tools designed explicitly for capacity building in lower-resourced communities.