While evaluation of research-to-policy projects is a fundamental aspect of measuring the impact of new knowledge, limited studies have examined evaluation methods in such projects, as well as how the evaluation can generate learning to facilitate the progress towards the Sustainable Development Goals (SDGs). This study conducted a systematic literature review and found that the most commonly used methods for SDG contribution evaluation were Analytical Hierarchy Process (40.4%), Fuzzy TOPSIS (13.2%) and ELECTRE and SPADE Methodology (3.5% each). Ranking analysis was undertaken to determine priorities among the six "Big Wins" as defined for the UKRI-GCRF Trade Hub Project, as a case, where the ranking was exercised by the project partners across the globe. Results revealed that "nature and social factors" was better considered in international trade agreements as the priority (36.4%) among others. Moreover, among the four "mechanisms" of the project, "knowledge, networks, and connectivity" was ranked as the top priority (56.9%), followed by "capacity building" (28.5%), "metrics, tools and models" (7.2%), and "improving the knowledge base" (4.6%). Mapping and evaluation revealed that the Big Wins of the Trade Hub contributed to ten out of the 17 SDGs. The most fulfilled goals were SDG 12 (Sustainable Consumption and Production), SDG 15 (Life on Land), and SDG 2 (Zero Hunger) in descending order. Furthermore, interaction analysis of the core SDGs revealed both synergy and tradeoff between different outputs. The research articles reviewed for this paper showed no gold standard framework for assessing international development projects against the SDGs. Further research should develop a tool to capture holistic and synergistic contributions of the target outcomes of projects to sustainable development.