higher ed

Developing local assets and nurturing local talent in science and engineering (S&E) is paramount to productive innovation economies. Institutions of higher education (IHEs) are arguably the most important elements of these local knowledge-capital assets — housing physical R&D infrastructure, training new scientists and engineers, and creating and disseminating new knowledge across the academic, public, and private sectors.

The National Science Foundation has announced the establishment of 11 new NSF National Artificial Intelligence Research Institutes, reaching a combined investment of $220 million and including a total of 40 states when adding the original seven institutes announced last year. The institutes are expected to act as connections in a broader nationwide network and will be led by NSF in partnership with the U.S.

Understanding enrollment trends at the nation’s institutions of higher education — an important indicator of the knowledge capital and skilled workforce available to local innovation economies — is paramount in developing appropriate strategies to bolster local and regional innovation and entrepreneurship. While many institutional reports cover only one or a few years’ worth of enrollment data, evaluating long-run trends can help policymakers and program designers identify issues that might otherwise be hidden, enabling the development of more effective policies and programs.

Enrollment in the nation’s institutions of higher education is an important indicator of the knowledge capital available to local innovation economies. This edition of Useful Stats explores enrollment data from the recently updated National Student Clearinghouse Research Center (NSCRC) report , Current Term Enrollment Estimates, covering spring term enrollment trends at degree-granting institutions of higher education.

A new report from the Minority Business Development Agency (MBDA) highlights the impact of business and entrepreneurship courses at Tribal Colleges and Universities (TCUs), which have long served as bastions of cultural identity at many American Indian and Alaskan Native reservations and important economic drivers in these prominently rural areas.

The overall employment outlook for the recipients of doctorate degrees earned at U.S. institutions has improved from 2015 to 2019, while the research activities conducted by these highly trained and educated individuals has started to shift away from basic and applied research activities towards activities focused on design and development. Doctorate recipients play an essential role in developing the knowledge base leveraged in creating new technologies and companies in the innovation economy.

As state budgets move into the legislatures for final negotiations and approvals, the last of the governors have addressed their constituents and put forth their proposals. While a renewed sense of hope is seeping into the latest addresses, governors are still cautious and guarded in proposing new programs. Broadband, small business, education and workforce initiatives continue to be among the innovation-related initiatives announced by the state leaders, with the intent that those efforts will also boost the economic recovery of the states.

The R&D performed at colleges and universities is an important driver for the innovation economy — generating new knowledge, spurring invention, training STEM talent, and supporting economic development. This edition of SSTI’s Useful Stats analyzes metropolitan-level data for 2019 from the National Science Foundation on higher education R&D (HERD) expenditures and personnel. Nearly 981,000 individuals in higher education across the U.S. were classified as R&D personnel in 2019.

Metropolitan areas in the U.S. with fewer than 370,000 residents are more likely to be more economically reliant on R&D performed by colleges and universities than larger metros, according to new SSTI analysis. Three data points are used to consider how R&D at institutions of higher education is impacting a region’s economy: NSF’s Higher Education R&D (HERD) data on expenditures at individual institutions; metro area Gross Domestic Product (GDP) data from the Bureau of Economic Analysis; and population estimates from the Census Bureau.