Announcement: 2011 Workshop on Science, Technology, Engineering and Mathematics (STEM) Enterprise: Measures for Innovation and Competitiveness

ann.kushmerick at THOMSONREUTERS.COM ann.kushmerick at THOMSONREUTERS.COM
Wed Feb 2 16:47:44 EST 2011


 

2011 Workshop on Science, Technology, Engineering and 

Mathematics (STEM) Enterprise: 

Measures for Innovation and Competitiveness

 

 

2011 STEM Measures 

October 19, 2011 

AAAS, Washington, DC 

 

The Science, Technology, Engineering and Mathematics (STEM) enterprise
is a unique ensemble of R&D accomplished by the federal, academic and
private sectors, both national and international. It is the driving
force for economic and social advancement for humankind. The economic
health of this enterprise is of importance to all citizens. Policies and
regulations must be derived from basic incorruptible data and measures
to maintain a healthy and productive STEM enterprise. 

 

The economic health of the STEM enterprise is based on a number of
factors, the first being the workforce, for example, the number of
scientists, engineers and technologists employed, unemployed and/or
underemployed, and the influx of future workers from the academic
community. 

 

The second factor is funding. Where and how much money is placed into
the enterprise? For instance, should earmarks in any federal agency
allotment be counted as part of the R&D budget? What is the true amount
within reasonable error margins of the industrial input to the R&D
budget? Why does the industrial sector not fully fund basic & applied
research? 

 

The third factor is data. Is bibliometric data reasonable in measuring
output? If not, what new data sources can be put in force to quantify
output? What data exist to follow interactions among the three STEM
enterprise sectors: federal, academic and industrial, and among
different collaborating countries? 

 

Finally, given these factors what is the outcome that can affect a
national or international policy? Given incorruptible data, can an
algorithm be designed to sufficiently measure productivity and quality?
Are there dependant functions that can within some degree of accuracy
project future productivity? Can this be employed by policymakers to
make the STEM enterprise more efficient? 

 

The first "Workshop on Science, Technology, Engineering and Mathematics
(STEM) Enterprise: Measures for Innovation and Competiveness," was held
at George Washington University on 21 October 2009 in Washington, D.C.,
to address these issues. Because of the success of this meeting (the
E-Proceedings are available on
http://www.ieeeusa.org/calendar/conferences/stem/default.asp.), a 2011
STEM measures workshop will be held 19 October 2011 at the headquarters
of the American Association for the Advancement of Science (AAAS) in
Washington, D.C. 

 

 

                           

 

Ann Kushmerick
Manager, Research Evaluation and Bibliometric Data

Healthcare & Science

Thomson Reuters

ann.kushmerick at thomsonreuters.com

science.thomsonreuters.com
thomsonreuters.com

 

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