Biotechnology - Genomic and Proteomics/IP Profile of Universities working in BGP: Difference between revisions
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#*Identify these cases and treat them as entities that will also be placed in our mapping device (the quadrants) | #*Identify these cases and treat them as entities that will also be placed in our mapping device (the quadrants) | ||
#* Identify what universities are the “Microsofts” of the field and what companies are the “IBMs” of the field (Use the questionnaire to guide your research when appropriate - Carol will select specific relevant questions) | #* Identify what universities are the “Microsofts” of the field and what companies are the “IBMs” of the field (Use the questionnaire to guide your research when appropriate - Carol will select specific relevant questions) | ||
==Introduction== | |||
American universities are granted over 3,000 U.S. patents each year and maintain a portfolio of over 40,000 patents (see Owen-Smith & Powell, 2003). | |||
<br> | <br> | ||
== Universities and R&D in Biotechnology== | |||
''Note: I have bolded those projects that appear to be experimenting with commons-based approaches. From initial research, it seems that Stanford is the IBM of the university field, UC San Diego is the Microsoft'' | ''Note: I have bolded those projects that appear to be experimenting with commons-based approaches. From initial research, it seems that Stanford is the IBM of the university field, UC San Diego is the Microsoft'' | ||
<br> | <br> | ||
* Stanford | ===* Stanford=== | ||
** Department of Biochemistry, School of Medicine ([http://biochemistry.stanford.edu/ http://biochemistry.stanford.edu/]) | ** Department of Biochemistry, School of Medicine ([http://biochemistry.stanford.edu/ http://biochemistry.stanford.edu/]) | ||
*** 135 labs in 11 departments | *** 135 labs in 11 departments |
Revision as of 17:05, 14 April 2009
Answer the questions:
- What are the 5 top Universities in this field?
- Correlate them with their main outputs (Data. Narratives. Tools)
- Understand and identify cases where these universities are “experimenting” or “adopting” commons based approach. Are they adopting OA policies, for instance? Are they adopting Social Responsible License approaches?
- Identify these cases and treat them as entities that will also be placed in our mapping device (the quadrants)
- Identify what universities are the “Microsofts” of the field and what companies are the “IBMs” of the field (Use the questionnaire to guide your research when appropriate - Carol will select specific relevant questions)
Introduction
American universities are granted over 3,000 U.S. patents each year and maintain a portfolio of over 40,000 patents (see Owen-Smith & Powell, 2003).
Universities and R&D in Biotechnology
Note: I have bolded those projects that appear to be experimenting with commons-based approaches. From initial research, it seems that Stanford is the IBM of the university field, UC San Diego is the Microsoft
* Stanford
- Department of Biochemistry, School of Medicine (http://biochemistry.stanford.edu/)
- 135 labs in 11 departments
- Equipment shared between departments - possible source of collaboration
- Graduate Training Program in Biotechnology (http://www.stanford.edu/group/biotech/)
- multidisciplinary, focusing on theoretical, experimental, and computational aspects of the field
- Genome Technology Center (http://med.stanford.edu/sgtc/)
- Inventing new processes for genomic research
- Stanford Medical Informatics (http://smi.stanford.edu/)
- Interdisciplinary research group focusing on how data is used in biotech research
- BIO-X (http://biox.stanford.edu/biox/index.html)
- Specific aim to foster collaboration between scientists, engineers, computer scientists, and clinicians in the biotech sector
- Department of Biochemistry, School of Medicine (http://biochemistry.stanford.edu/)
- Berkeley
- Center for Integrative Genomics (http://cigbrowser.berkeley.edu/)
- Collaborative project between several different departments to compare genome sequences of a wide variety of animals
- UC Biotech.org (http://ucbiotech.org/)
- provides educational materials on agriculture and technology
- Graduate Group in Computational and Genomic Biology (http://computationalbiology.berkeley.edu/)
- provides training in the intersection of computational biology and genomics
- Berkeley Bioinformatics Open Source Project
- Gene Ontology Project: aims to reach consistent descriptions of gene products
- Division of Genetics, Genomics, and Development (http://mcb.berkeley.edu/)
- studies replication, structure and evolution of genomes
- Department of Plant and Microbial Biology (http://pmb.berkeley.edu/)
- studies plant genomics
- Center for Integrative Genomics (http://cigbrowser.berkeley.edu/)
- UC San Diego
- Department of Bioengineering (http://www-bioeng.ucsd.edu/who/)
- Genomics and Systems Biotechnology Laboratory (http://gsbl.ucsd.edu/)
- Center for Human Genomics (http://health.ucsd.edu/news/2004/06_30_Genomics.html)
- MIT
- Whitehead Institute for Biomedical Research (http://www.wi.mit.edu/index.html)
- Department of Biological Engineering (http://web.mit.edu/be/index.htm)
- Biotechnology Process Engineering Center (http://web.mit.edu/bpec/)
- MIT/NIGMS Biotechnology Training Program (http://web.mit.edu/bpec/biotech/index.htm)
- Trains students to work in multipliscinary manner within the biotech industry
- Harvard
- Department of Chemistry and Chemical Biology (http://www.chem.harvard.edu/intro/mission.php)
- Harvard Biotechnology Club (http://www.thebiotechclub.org/index.php)
- foster events to bridge gap between biotech academia and business
- Graduate program in Biotechnology (http://www.extension.harvard.edu/biotech/)
- Program in Quantitative Genomics (http://www.hsph.harvard.edu/research/pqg/research/)
- HMS and Partners Center for Genetics and Genomics (http://www.hpcgg.org/)
- promotes genetics and genomics in clinical medicine
Bibliography for Item 8 in BGP
Biotechnology_-_Genomic_and_Proteomics