Download the transcript from the 2009 Workshop |   Hi-res (37.4 MB) |   Lower-res (13 MB))

The Science, Technology, Engineering, and Mathematics (STEM) enterprise is the driving force for U.S. and global economic and social advancements. Our goal is to bring leaders to discuss important questions facing the enterprise and to develop policy positions based on concrete data and proven algorithms. It is prudent to develop STEM policies that are derived from incorruptible data and measures to best plan for a healthy and productive enterprise, future economic growth and rapid innovation.

The first STEM workshop was held at George Washington University on 21 October 2009 in Washington, D.C., to address these issues.

Input to the STEM R&D enterprise is federal, state, industry and academics funding. But what are the outputs, and more importantly the outcomes from that investment that can drive policy implications? Is bibliometric data reasonable in measuring output, both quantity and quality, or are new data sources needed to quantify output? What data exists to follow interactions among the STEM enterprise sectors: federal, state, academic and private industry? What is the outcome or impact of the R&D investment on society and quality of life? How can we measure and assess the outcomes?

This workshop will provide a forum to address these issues and discover roadmaps and milestones that can lead to policy implications and positions.

The 2012 workshop will feature sessions on:

Funding What are the national expenditures on R&D both in the public and private sectors with the research portion broken down by basic, applied and developmental research? What is the breakout among federal, industry, and academia and by mission — physics chemistry, engineering, etc?

Workforce This track will look at a broad array of workforce data, including S&T employment, unemployment, under-employment, education level, and breakout among the STEM enterprise by sector — federal, industry, and academia.

Output — Measures/Indicators This area covers data such as scientific publication, patents awarded and other public and private data banks. Data mining from such sources as Thomson Reuters (formerly Institute for Scientific Information), Rand’s RaDIUS Database, American Association for the Advancement of Science data on the S&E federal budget, the National Science Foundation’s Science and Technology Indicators, and databases from the Department of Commerce, the Department of Labor, the U.S. Patent Office and the Organization for Economic Cooperation and Development.

Policy Implications Examples in this area include citations, such as the top 1% of citations measuring high quality and high impact and/or influence, rankings and prizes, etc. Given the output and measures, how can we measure productivity that leads to possible policy implications? There will be keynotes in the plenary session to address the broader policy issue. 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 people. Policies and regulations must be derived from basic incorruptible data and measures to maintain a healthy and productive STEM enterprise.

Registration Fees

Registration includes continental breakfast, coffee break, lunch and reception.

Contacts

IEEE-USA staff contact:  Deborah Rudolph, +1 202 530 8332

For media inquiries, contact: Chris McManes, +1 202 530 8356