invention 2016
Innovating Education and Educating for Innovation
OECD (2016) Innovating Education and Educating for Innovation: The Power of Digital Technologies and Skills OECD Publishing Paris http://dx doi org/10 1787/9789264265097-en ISBN 978-92-64-26508-0 (print) ISBN 978-92-64-26509-7 (PDF) Series: Educational Research and Innovation ISSN 2076-9660 (print) ISSN 2076-9679 (online) |
Invention and Innovation
• Invention Innovation and Inquiry (I3) Units Invention: The Invention Crusade Innovation: Inches Feet and Hands Communication: Communicating School Spirit Manufacturing: The Fudgeville Crisis Transportation: Across the United States Construction: Beaming Support Power and Energy: The Whispers of Willing Wind |
The Demographics of Innovation in the United States
BY ADAMS NAGER DAVID HART STEPHEN EZELL AND ROBERT D ATKINSON |
THE INVENTOR’S HANDBOOK
inventions made at Harvard University into useful products that are available and beneficial to society Our integrated research-focused approach to technology development comprises: • corporate partnerships and alliances • intellectual property management • echnology commercialization through venture creation and licensingt |
Quelles sont les principales inventions ?
Numéro 1 : L'invention de l'imprimerie en 1450
Tout le monde sait que Johannes Gutenberg est l'inventeur de l'imprimerie.Quelle est l'invention la plus connue ?
Du microscope à l'avion, du téléphone à l'ordinateur de bureau, la plupart des dispositifs ayant eu un impact fort sur la société sont le fruit de découvertes et d'innovations successives qui, un jour, accouchent enfin de la perle rare.
FEBRUARY 2016 2016
BY ADAMS NAGER, DAVID HART, STEPHEN EZELL, AND ROBERT D. ATKINSON www2.itif.org
INTRODUCTION
Behind every technological innovation is an individual or a team of individuals responsible for the hard scientific or engineering work. Behind each of these innovators are an education and a set of experiences that impart the requisite knowledge, expertise, and opportunity. These scientists, engineers, entrepreneurs, and managers drive technologic
Immigrants born in Europe or Asia are over five times more likely to have created
This study surveys people who are responsible for some of the most important innovations in America. These include people who have won national awards for their inventions, people who have filed for international, triadic patents for their innovative ideas in three technology areas (information technology, life sciences, and materials sciences), an
METHODOLOGY
While there is an existing literature on innovation and immigrant demographics, our research represents, to our knowledge, a novel contribution to the field of demographic studies. Our approach begins with a sample of high-value innovations and then identifies innovators behind them. Many preceding papers pertain to the characteristics and backgr
Survey Methodology
Once we collected addresses for the sample, we sent innovators emails asking them to complete a 10-minute survey. We sent these emails four times over the course of a month, requesting the recipient’s participation. Questions pertained to each innovator’s demographic profile, including country of birth, parent’s country of birth, ethnicity, gender,
Instead of worrying about whether immigrants crowd out
The data presented below, except where otherwise stated, represents simply the number of responding innovators or the percentage of innovators among those who responded to the relevant survey question. We do not attempt to identify or assign causal relationships or run multi-variate regressions requiring stringent assumptions on sample size and the
Ethnicity and Country of Origin
Examining the ethnic breakdown of innovators in the United States, it is apparent that immigrants play a very large role in innovation. On the other hand, minorities born in the United States are represented at very low rates. Blacks and Hispanics born in the United States account for www2.itif.org
Education
By understanding the educational background of the United States’ top innovators, policymakers and administrators can make more informed decisions about STEM education. Do innovators concentrate on specific fields or subject areas? Do they attain certain advanced graduate degrees with high frequency? Do they attend elite private colleges, or are th
Innovations
The survey asks questions concerning innovations in addition to questions concerning innovators. This section analyzes the characteristics and team demographics of innovations rather than the characteristics of individual respondents. The survey methodology allowed multiple innovators contributing to the same innovation to respond. Presenting infor
APPENDIX B: METHODOLOGY CONSIDERATION WITH PATENT DATA
Patent data have been used widely for many years to measure innovation. Databases incorporate variables such as previous authorship, size of the team listed on the patent, and specialization (through testing whether additional patents were cross-listed in other fields). This data allows an in-depth look at the nature of innovation. However, regul
APPENDIX E: NAMSOR TESTS AND INTERPRETATIONS
Onomastics studies the history and origin of names. For our study’s purposes, NamSor API tools allow us to obtain a guess (with another guess estimating the probability of accuracy) for the gender and country of origin of each name in the sample.133 These estimates allow us to see whether there are observable biases in the gender or country in orig
Gender Predictions
Concerning gender, NamSor scores a name on a scale of negative one to positive one, with a negative score computed as male, and a positive score computed as female. Thus, a few names in our sample were indeterminate when NamSor returned a score of zero or close to zero. Guesses are based on both first and last name, so innovators with identical fir
Country of Origin and Language Families
The NamSor algorithm makes predictions based upon the sociolinguistic history and structure of a given first and last name. Naming conventions and patterns follow predictable trends associated with various languages and countries. The algorithm used gives predictions of country of birth, and provides a level of confidence that the prediction is cor
Demographics
What is your name? What is your gender? Female Male In what year were you born? What is the country of your birth? What is the country of your mother’s birth, if different from yours? (If the same, please skip) What is the country of your father’s birth, if different from yours? (If the same, please skip) Do you consider yourself to be Hispanic or
ACKNOWLEDGMENTS
ITIF appreciates the nancial support received from the Smith Richardson Foundation for this project. The content and views of this publication are solely the responsibility of ITIF. The authors would like to thank Alfred Sarkissian and Ben Shearn for tireless effort to collect contact information for all the innovators included in this survey. Furt
FEBRUARY 2016 2016
BY ADAMS NAGER, DAVID HART, STEPHEN EZELL, AND ROBERT D. ATKINSON www2.itif.org
INTRODUCTION
Behind every technological innovation is an individual or a team of individuals responsible for the hard scientific or engineering work. Behind each of these innovators are an education and a set of experiences that impart the requisite knowledge, expertise, and opportunity. These scientists, engineers, entrepreneurs, and managers drive technologic
Immigrants born in Europe or Asia are over five times more likely to have created
This study surveys people who are responsible for some of the most important innovations in America. These include people who have won national awards for their inventions, people who have filed for international, triadic patents for their innovative ideas in three technology areas (information technology, life sciences, and materials sciences), an
METHODOLOGY
While there is an existing literature on innovation and immigrant demographics, our research represents, to our knowledge, a novel contribution to the field of demographic studies. Our approach begins with a sample of high-value innovations and then identifies innovators behind them. Many preceding papers pertain to the characteristics and backgr
Survey Methodology
Once we collected addresses for the sample, we sent innovators emails asking them to complete a 10-minute survey. We sent these emails four times over the course of a month, requesting the recipient’s participation. Questions pertained to each innovator’s demographic profile, including country of birth, parent’s country of birth, ethnicity, gender,
Instead of worrying about whether immigrants crowd out
The data presented below, except where otherwise stated, represents simply the number of responding innovators or the percentage of innovators among those who responded to the relevant survey question. We do not attempt to identify or assign causal relationships or run multi-variate regressions requiring stringent assumptions on sample size and the
Ethnicity and Country of Origin
Examining the ethnic breakdown of innovators in the United States, it is apparent that immigrants play a very large role in innovation. On the other hand, minorities born in the United States are represented at very low rates. Blacks and Hispanics born in the United States account for www2.itif.org
Education
By understanding the educational background of the United States’ top innovators, policymakers and administrators can make more informed decisions about STEM education. Do innovators concentrate on specific fields or subject areas? Do they attain certain advanced graduate degrees with high frequency? Do they attend elite private colleges, or are th
Innovations
The survey asks questions concerning innovations in addition to questions concerning innovators. This section analyzes the characteristics and team demographics of innovations rather than the characteristics of individual respondents. The survey methodology allowed multiple innovators contributing to the same innovation to respond. Presenting infor
APPENDIX B: METHODOLOGY CONSIDERATION WITH PATENT DATA
Patent data have been used widely for many years to measure innovation. Databases incorporate variables such as previous authorship, size of the team listed on the patent, and specialization (through testing whether additional patents were cross-listed in other fields). This data allows an in-depth look at the nature of innovation. However, regul
APPENDIX E: NAMSOR TESTS AND INTERPRETATIONS
Onomastics studies the history and origin of names. For our study’s purposes, NamSor API tools allow us to obtain a guess (with another guess estimating the probability of accuracy) for the gender and country of origin of each name in the sample.133 These estimates allow us to see whether there are observable biases in the gender or country in orig
Gender Predictions
Concerning gender, NamSor scores a name on a scale of negative one to positive one, with a negative score computed as male, and a positive score computed as female. Thus, a few names in our sample were indeterminate when NamSor returned a score of zero or close to zero. Guesses are based on both first and last name, so innovators with identical fir
Country of Origin and Language Families
The NamSor algorithm makes predictions based upon the sociolinguistic history and structure of a given first and last name. Naming conventions and patterns follow predictable trends associated with various languages and countries. The algorithm used gives predictions of country of birth, and provides a level of confidence that the prediction is cor
Demographics
What is your name? What is your gender? Female Male In what year were you born? What is the country of your birth? What is the country of your mother’s birth, if different from yours? (If the same, please skip) What is the country of your father’s birth, if different from yours? (If the same, please skip) Do you consider yourself to be Hispanic or
ACKNOWLEDGMENTS
ITIF appreciates the nancial support received from the Smith Richardson Foundation for this project. The content and views of this publication are solely the responsibility of ITIF. The authors would like to thank Alfred Sarkissian and Ben Shearn for tireless effort to collect contact information for all the innovators included in this survey. Furt
FY 2015 FY 2016 FY 2017 FY 2018 FY 2019 Invention Disclosures
FY 2015 FY 2016 FY 2017 FY 2018 FY 2019. Invention Disclosures. 1 New inventions disclosed. 7. 6. 13. 7. 6. Patents. 2 U.S. patent applications filed. |
Commission Notice on certain articles of Directive 98/44/EC of the
Nov 8 2016 the Council on the legal protection of biotechnological inventions. (2016/C 411/03). INTRODUCTION. Directive 98/44/EC of the European ... |
FIFTH WORLD INVENTION CREATIVITY CONTEST 2016 OF THE
Invention Creativity Contest 2016 (WICC 2016) from July 28 to 30 2016 at the Seoul. Trade Exhibition and Convention (SETEC) in Seoul |
Student Name(s): School: School District: Grade: Teachers Name:
Copyright 2016 Invention League |
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Oct 14 2016 Siklos (2016) examines to what extent central banks have changed their ... many central bank inventions—central banks in crisis countries ... |
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The Patents Act No. 40 of 2016.pmd
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Guide to the IPC - Version 2016
If an inventive thing is appropriate for invention information classification in a certain group and another thing in the same patent document is appropriate |
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