SPIT

Science–Policy Insights Tool (SPIT)

The Science–Policy Insights Tool (SPIT) is a dynamic platform designed to bridge the gap between research and decision-making. It offers an interactive way to track how scientific evidence informs policies, while giving voice to both researchers and policymakers.

Through carefully designed survey categories—Technical, Institutional, Communication, and Cross-Cutting Issues—users can share their perspectives on the state of science–policy engagement. Each response feeds into a live, visual dashboard, making it possible to see emerging trends across regions, disciplines, and governance levels.

This tool goes beyond simple surveys. It creates a community of practice where knowledge is not only collected but also translated into actionable insights. Your participation will help shape the understanding of:

With the SPIT, data is transparent, continuous, and globally relevant—providing a pulse on how science is shaping policy for sustainable futures.

The Five Categories of the Science–Policy Insights Tool (SPIT)

1. Technical Evidence

This category focuses on the quality, clarity, and usability of scientific data and findings. It tracks how effectively research outputs—such as groundwater models, climate projections, or health risk assessments—are translated into formats that policymakers can understand and apply.

👉 Is scientific evidence communicated in a way that supports informed decisions?

2. Institutional Frameworks

Institutions shape the science–policy interface. This category examines the rules, mandates, and organizational cultures that enable or hinder science-informed policymaking. It looks at coordination across ministries, agencies, universities, and regional bodies.

👉 Do institutions create an enabling environment for evidence-based policies?

3. Policy Uptake

Evidence only has impact if it is absorbed into actual policy processes. This category assesses the extent to which scientific knowledge is referenced in strategies, regulations, and action plans. It also considers barriers like political will, competing priorities, and limited resources.

👉 How often and how well does research shape policies and decisions?

4. Communication & Co-Design

Strong science–policy links depend on dialogue, trust, and collaboration. This category explores how researchers and policymakers interact, including whether research agendas are co-designed to address real policy needs. It also tracks the effectiveness of communication methods such as briefs, infographics, and workshops.

👉 Are research and policy communities working together from the start?

5. Cross-Cutting Dynamics

Some issues cut across all dimensions: leadership, trust, equity, and collaboration. This category captures overarching enablers and barriers that influence the entire science–policy ecosystem. It provides a holistic view of progress and gaps.

👉 How effective is the overall collaboration between science and policy actors?

Contribute your voice. Explore the insights. Be part of the science–policy dialogue.