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1
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- Research choices
- IP Acquisition
- Use of IP
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2
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3
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- Substantial commercial activity
- Industry funding: 19% have some industry funding
- Patenting (in last 2 years): 22%
- Business activity (e.g., startup, negotiations, licensing,
commercialization of discovery) : 35%
- More for those doing “drug discovery”
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4
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5
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6
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- Project choice driven primarily by scientific objectives, interest and
access to funding
- Scientific competition can also redirect projects
- Prospect of patent on research output or commercial potential have
little impact (though higher (~20%) for drug discovery)
- Redirection does not seem to be a problem for basic research
- Potential SDR bias
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7
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8
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- Azoulay and Sampat (2005):
- Key factor affecting the probability that an AAMC faculty member
patents in a given year is volume of lagged NIH grants
- NIH grants can be interpreted as an “input” into research and/or as a
measure of scientific prominence
- Azoulay, Ding, and Stuart (2005):
- Patenting positively related to publication activity by academic
scientists
- Publications by patenters similar in “quality” to those by others
- But, publications by patenters tend to be in journals with a higher
share of industry-authored publications
- Generally, these (and other) results suggest that traditional
motivations for research prevail
- Patents are by-products of “normal” research activities
- The key unanswered issue is whether/how patents affect dissemination
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9
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10
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11
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12
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- Access to IP
- Citations to Patented Inventions
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13
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14
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15
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16
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- Main reasons: Over 40% of respondents rate funding, time constraints,
infeasibility, and scientific importance as more than moderately
important
- Patent-related reasons
- Too many patents on tools and other inputs: 3%
- No different for those involved in drug discovery
- Terms associated with rights to inputs, including materials: 10%
- 21% for those involved in drug discovery
- “Patent thicket” on inputs has little impact on decisions to choose, or
not pursue projects
- anti-commons does not seem to be a problem
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17
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- Does the existence of disembodied “pure IP” impede academic research?
- Awareness of patents on knowledge inputs?
- Effects?
- Delay
- Modify research approach
- Abandon project
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18
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- 8%, or 32 of 381 respondents, believed they needed knowledge or
information covered by patents
- Given burst in research tool patents, why so few?
- Only 5% check regularly for patents on knowledge or material inputs
(little change since Madey)
- 22% received instruction from institution (v. 15% 5 years ago)
- AAAS study: 14% of universities give instructions
- BUT, instruction does not change behavior (6% v 4%)
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19
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20
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- Prior results provide base-rate data
- But, even rare result might have major social welfare impacts if it
affects important technology
- To probe this, we collected data from researchers in three fields that
have high scientific importance, and varying levels of patenting and
commercial activity
- EGF, NF-kB, CTLA-4
- Lots of research activity (foundational paper had over 1500 cites for
first two, around 900 for CTLA-4)
- Many patents (760, 90, 60, respectively)
- Drugs in market or clinical trials
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21
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- Pure IP: Adverse affects rare, although slightly more common than base
rate
- More likely to know about patents
- 3% had abandoned a project (v. 0% for random sample)
- Access to materials even more problematic
- 26-32% did not receive last request (v. 19% for overall)
- NF-kB and EGF well above norm in terms of projects abandoned or delayed
due to not receiving requested inputs (CTLA-4 near norm)
- Thus, even in high risk areas, the impact of pure IP is small, while the
impact of withholding tangible property is even greater than the base
rate
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22
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- Commercial activity by academics is substantial, but little growth
- Little evidence project choice affected by commercial incentives or
anti-commons
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23
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- Few are aware
- Even if aware, has little impact on research
- Even in high risk fields (EGF, NF-kB, CTLA-4) minimal impact (3%
abandoned a project in last 2 yrs)
- Few academic institutions have policy of notifying faculty
- And, even if notified, does not seem to change behavior
- Earlier qualitative study: similar result
- “Law on the books” is not the same as “law in action”
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24
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- Key findings:
- For genomic “techniques,” a patent grant has no statistically
significant effect on citations to corresponding articles
- For genomic “sequences,” a patent grant is associated with a 12 percent
decline in citations to corresponding articles, all else equal
(p<.05)
- Murray and Stern (2005), using a different empirical approach and
focusing on papers from Nature Biotechnology find that patents cause a
9 to 17 percent decline in citations to corresponding articles
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25
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- Caveats:
- Even if patents do “hinder” research, welfare implications unclear
- This empirical exercise relies on strong identification assumptions
which are difficult to test directly
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26
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- Reconciling results with Walsh et al.
- Perhaps citations are affected more than subsequent research?
- But this still requires “awareness” of patents
- Perhaps results are driven by non-academic citers?
- Currently testing for this
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27
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28
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29
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30
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31
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32
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33
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34
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35
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36
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37
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38
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39
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40
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41
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42
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43
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- The NIH guidelines about the sharing of research tools are widely known
and are often adopted by technology transfer offices.
- There are even more usages of the term of “exclusive” than known
initially, including, “Exclusive for use with company’s own patented
technology”, is still called “exclusive”.
- Those schools interviewed reported always ensuring a research exemption
for themselves, and starting about recently-about 5 years ago, putting
in a general research exemption.
- Sample: Nothing in this Agreement will limit the right of University to
publish any and all technical data resulting from the research performed
by the University relating to the Invention and to make use or practice
the Invention, Licensed Product, Licensed Service, Licensed Method an
associated technology and allow other educational and non-profit
institutions to do so for educational and research purposes.
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44
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- Those schools interviewed note that smaller companies want broader and
more fields in their “exclusive” licenses than do larger companies.
- Discernable consensus on need to patent and license with some degree of
exclusivity therapeutics.
- Less on consensus on diagnostics and targets.
- Interesting definition of Research Tool: “ If you know it’s specific
utility, it’s not a research tool”.
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45
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46
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47
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48
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49
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50
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- Where others’ tangible inputs necessary for research activity itself,
may have different impact from pure IP
- Examples
- Cloned gene, organism, cell line, protein, drug, unpublished
information, etc.
- About 75% of our academic respondents requested materials in the prior
two years
- Average # of requests (last 2 years)
- 7 to other academics and 2 to industry
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51
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- 19% did not receive last requested research input
- Change over time?
- For academic to academic exchanges in genomics, percent of requests not
received:
- 2003-04 (Walsh, et al): 18% (+/-3.7%)
- 1997-99 (Campbell, et al): 10%
- So, appears to be some increase in recent years
- Delay research (>1 month): 8% of requests (v. 1% for pure IP)
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52
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53
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- About 40% of transfers require MTA
- More common if request drugs (64%)
- Fees
- 93% from academic, no charge, < 2% over $1000
- 85% from industry, no charge, 7% over $1000
- Terms (requested)
- Reach through-38%
- Royalties-17%
- Manuscript review-30%
- Drugs to Academics: 70% of final agreements
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54
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- Except for royalties, academic respondents doing drug discovery tend to
be more subject to restrictive terms than those doing basic research
- Industry suppliers tend to impose more restrictive conditions than
academic suppliers
- 26% of MTAs (11% of requests) take more than one month to negotiate
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55
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- Concern about SDR bias in self-report data: use multivariate regression
- From point of view of academic supplier:
- Commercial orientation (business activity)
- Industry funding
- Scientific competition (# competing labs)
- Burden (requests/lab dollar)
- Total budget
- Publications
- Drug discovery
- Male
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56
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57
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- Main predictors
- Scientific competition (# competing labs)
- Prior business activity
- Burden (requests/lab dollar)
- # Publications (Eminence or opportunity cost?)
- Insignificant
- Industry funding (modest pos. effect)
- Drug discovery
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58
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- Access to tangible research inputs more problematic than access to pure
IP
- About 10-20% of Ac-Ac requests not fulfilled
- Refusals increasing
- Adverse affects due to scientific competition (and cost/effort of
compliance), as well as commercial incentives
- But, social welfare impacts of denials and MTA terms ambiguous
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59
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- So, if there is a problem, it’s one of access to tangible—not intellectual—property,
and the constraints on access turn more on cost/effort, scientific
competition and commercial activity than on IP per se
- Culprit may not be IP on materials, but Bayh-Dole and IP-related
legislation that fosters commercial activity among academics more
generally
- But need to weight benefits of such legislation against any costs
- Solutions should be tied to problems
- Changing patentability rules may not address problem
- Facilitating tangible input sharing (to reduce cost/effort) may be key
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