Faced with myriad options, Sub-Saharan Africa policy makers struggle to prioritize actions. Commonly used modeling approaches perform poorly in data scare conditions or focus intently on tools at hand. Policies, by consequence, report ‘wish lists’, making them a challenge to implement given resource constraints.

Science–policy interactions are exchanges among key stakeholders looking to reconcile value systems and interests to ultimately, influence decision-making processes through knowledge exchange and generation.