The National Science Foundation’s Directorate for Technology, Innovation and Partnerships, or TIP, has introduced a public data platform designed to provide insights into how NSF allocates funding across emerging technology areas.
In the first part of this two-part series published in August, Ann Gabriel, senior vice president for global strategic networks at Elsevier, wrote that the TIP Investments Pilot platform represents a new approach for aligning research investments with societal needs by presenting a detailed, interactive map on funded projects, enabling stakeholders to understand the scope, location and focus of TIP awards.
What Is the Goal of the NSF TIP Investments Pilot?
Gabriel noted that NSF TIP collaborated with Elsevier to develop the TIP Investments Pilot dashboard using the latter’s Pure platform, a research information management system.
Launched in July 2024, the goal of the pilot is to provide a unified, intuitive interface that allows researchers, policymakers and entrepreneurs to explore TIP funding, identify program alignments and regional patterns, and discover collaboration opportunities.
“We are thrilled to launch this pilot capability to allow the American public a new way of seeing the breadth and depth of TIP’s investments in key technology areas,” said Erwin Gianchandani, NSF assistant director for TIP.
“We hope that the map and underlying data will help those interested in TIP’s investments explore our work and assist researchers in finding others in their regions or focus areas,” Gianchandani added.
What Key Technology Areas Does the NSF-TIP Investment Pilot Dashboard Track?
According to Gabriel, the TIP Investments Pilot platform allows users to filter awards across 10 key technology areas, reflecting sectors that NSF considers critical for U.S. competitiveness.
These tech areas are artificial intelligence; advanced communications; advanced computing and semiconductors; advanced energy and industrial efficiency technologies; advanced materials; data and cybersecurity; disaster prevention and mitigation; biotechnology; quantum information science and technology; and robotics and advanced manufacturing.
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