"Wang and his colleagues built a tool called Funding the Frontier, which integrates data on research publications, patents, policy papers and clinical trials, and presents the information in a visually intuitive way. They also combined the tool with a machine-learning-driven predictive algorithm to forecast which studies and fields are likely to lead to the most societal benefits in the future - for example, which grants are most likely to result in a patent."
"Funding the Frontier includes a mind-boggling amount of data, drawn from four large datasets: the Dimensions, Altmetric and Overton databases, as well as the authors' own SciSciNet dataset. The total collection links 7 million research grants to 140 million scientific publications, 160 million patents, 10.9 million policy documents, 800,000 clinical trials and 5.8 million newsfeeds, all published between 2000 and 2021, with 1.8 billion citation linkages among them."
Funding the Frontier links research grants, publications, patents, policy documents, clinical trials and newsfeeds to trace pathways from funding to societal outcomes. The platform combines four major databases—Dimensions, Altmetric, Overton—and the SciSciNet dataset to assemble data spanning 2000–2021, including 7 million grants, 140 million publications, 160 million patents, 10.9 million policy documents, 800,000 clinical trials and 5.8 million news items with 1.8 billion citation links. A machine-learning predictive algorithm identifies which studies and fields are likely to yield future societal benefits, such as patents. Interactive visualizations allow users to follow impacts forward and trace outcomes back to their sources.
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