IEEE Robotics & Automation Magazine - September 2019 - 77

For almost all authors across all research areas, the model is
extremely confident ( p 2 .95) that the intercept is less than 1:1
(below 0 on the log odds scale and within the bounds of the
vertical line). This means that, outside of the NRI, almost all
authors are unlikely to publish in these areas. At the same time,
for many authors across the research areas, the model is confident ( p 2 .75) or at least more confident than not ( p 2 .5) of
a positive NRI effect. In some cases, the model is confident of a
substantial positive effect, corresponding to a change of 2:1
odds or greater. For several areas-most especially decision
science and psychology-the model is highly confident of
large effects, but the uncertainty over these estimates ranges
over several orders of magnitude.
Discussion
Based on our bibliometric analysis, in its first five years of funding, the NRI has supported novel collaborations and stimulated interdisciplinary collaboration and publishing. We found
that 31 pairs of NRI-funded collaborators at different institutions have never published together before (22% of all NRIfunded collaborations). Additionally, 26 NRI awards (8% of all
awards) make substantial references to prior research in fields
such as biology, medicine, neuroscience, Earth science, materials science, physics, and psychology. NRI-funded researchers
also tend to publish more in these nonrobotics fields.
Our findings indicate that the NRI has begun to influence
the robotics research community, supporting novel collaborations and interdisciplinary research. NRI 2.0's central
themes-ubiquitous corobots, greater scalability and variety,
and lowered barriers to robotics research-mean that the program will require still more novel and interdisciplinary collaboration. We therefore expect the trends we have identified here
to continue. In addition, over the next decade, we expect that
the NRI will start to have a significant societal impact as foundational research is translated into consumer products.
Acknowledgments
Work on this article was conducted while Daniel Hicks was a
Science and Technology Policy Fellow with the American
Association for the Advancement of Science and Reid Simmons was serving as a program director at the U.S. National
Science Foundation (NSF) in the Information and Intelligent
Systems division of Computer and Information Science and
Engineering. Hicks' fellowship was funded under NSF award
1643294. Henrick Christensen helpfully provided documents
on the early history of the National Robotics Initiative (NRI).
Current and past NSF staff who played a substantial role in
shaping the NRI include Jeff Trinkle, Satyandra Gupta, Richard Voyles, Howard Wactlar, and Lynne Parker. We thank Steven Thomson (U.S. Department of Agriculture), Rodrigo
Rimando (U.S. Department of Energy), and Grace Peng (the
National Institutes of Health) for providing us with information on the NRI awards funded by their agencies. The views
expressed in this article are those of the authors and should not
be interpreted as the official recommendations or policy of the
NSF or other author-affiliated organizations.

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Daniel J. Hicks, American Association for the Advancement of
Science, Alexandria, Virginia. Email: hicks.daniel.j@gmail
.com.
Reid Simmons, National Science Foundation, Alexandria,
Virginia. Email: reids@cs.cmu.edu.

SEPTEMBER 2019

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IEEE Robotics & Automation Magazine - September 2019

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