The Latest from the Fung Institute Patent...

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The Latest from the Fung Institute Patent Lab Gabe Fierro, Lee Fleming, Kevin Johnson, Aditya Kaulagi, Guan Cheng Li, Sophia Pham, Bill Yeh SAB: Stu Graham (Ga Tech), David Kappos (Cravath, Swain and Moore), Jeff Oldham (Google)

Transcript of The Latest from the Fung Institute Patent...

The Latest from the Fung Institute Patent Lab

Gabe Fierro, Lee Fleming, Kevin Johnson, Aditya Kaulagi, Guan

Cheng Li, Sophia Pham, Bill Yeh

SAB: Stu Graham (Ga Tech), David Kappos (Cravath, Swain and

Moore), Jeff Oldham (Google)

Agenda • Lab’s technology and research trajectories • Semantic distance and application to noncompete knowledge flow citation model

• Interface demonstration of (soon to be) weekly updates • Last minute recap for everyone who walked in late

–  We’ll be here through and after Heidi’s presentation

• Everything here is/will eventually be on (can subscribe): –  http://www.funginstitute.berkeley.edu/blog-categories/faculty-directors-blog#

• Advertisement for collaborators! Post docs and visiting positions available particularly if you’re a social scientist who can code…

Mobility mapper: http://funglab.berkeley.edu/mobility/

• Static: from Harvard DVN database • Larger states • Immigration into MI in 1987 (one inventor from Illinois):

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1982

Contrast with emigration in same time period

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http://funglab.berkeley.edu/cleantechx/

Variety of states

Clean Tech Patent Mapper

•  Static: Harvard DVN data: http://funglab.berkeley.edu/cleantechx/ •  Dataset built by Ken Younge (Purdue) and Kathryn Paisner (IP Checkups) •  Energy: wind, solar, bio, hydro, geo, nuclear

•  Assignee: VC backed, university, government, large and small incumbents, no assignee •  Time period; distance from large city

VC patents 1990-1999

Innovation and Entrepreneurship in Clean Energy: Nanda, Younge, Fleming

VC patents 2000-2009

Innovation and Entrepreneurship in Clean Energy: Nanda, Younge, Fleming

See Nanda, R. and K. Younge, L. Fleming. “Innovation and Entrepreneurship in Clean Energy,” Forthcoming at Rethinking Science and Innovation Policy, NBER.

Research: blocking patents •  Replace prior art citations as measure of importance

Graph of blocking actions in patent applications, from uniform random sampling (~1/50) of PAIR applications. Geron Corporation’s patent number 6,093,809, Telomerase, appears to have blocked three other patent applications. The patent is co-owned by CU Boulder and was invented by Thomas R. Cech, of Boulder CO, and Joachim Lingner, of Epalinges, Switzerland.

Research: blocking networks

Tagging

•  Develop list of words that differentiates each patent from claims, abstract, and description

•  Application in finding “control” patents •  Will demonstrate with Furman-Stern knowledge diffusion model

Tagging: matrix representation

Tagging - High-Dimensional Feature Selection

• X: of dimension 5 million by 2 million • β: feature vector • y: response vector • Find the very few features that best predict y

Advantage: sparse regression, automatic stop-word removal, computation efficiency

Tagging example

Research: cluster visualizations •  Using patent tags, we can “plot” patents in N-dimensions •  DBSCAN algorithm

–  find clusters of patents with similar tags

•  Plot in 2D/3D by projecting patents onto vectors of most differentiating tags (PCA dimensionality reduction)

Research: space visualizations

Research: space visualizations – zoom in or out

Research: Mapping the Flow of Technology

Demonstration of semantic distance •  Many measures of “distance” •  Treatment patents = all MI 1975-1984 •  Control patents:

–  non-enforcing state –  within 6 months of treatment –  closest technological “distance”

•  Expect increase in citations after 1985 –  expect mediation by mobile inventors –  Mean trmt/cntl cites 2.73 and 3.045 before; 7.86 and 7.67 after.

!"#"$%&"'( !,! = ! |!∩!||!∪!|

Histograms of distance measure

Figure 4: All Jaccard similarities greater than or equal to 0.2 for the Michigan treatment sample, relative to all U.S. patents (.00000002348% of all dyads) .

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2030

Density

0 .2 .4 .6similarity

Full sample of ~17,000 patents

Descriptive Furman-Stern diffusion model

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1975   1980   1985   1990   1995   2000   2005   2010   2015  

Figure 3: Average differences in citations for a matched sample of 384 patents: citations to Michigan patents from other non-enforcing states minus the citations to control patents from other non-enforcing states (not including the control patent’s home state and self-citations).

Technology (Feb. 2014) •  ~ Monthly download of grant + application data

–  parse, clean, build database1975- (thanks Gabe!) –  disambiguation of:

•  inventors (whole new algorithm by GC) •  geography •  Jaro-Winkler assignee and lawyer

–  public access via API or .csv query –  consistent inventor identifiers

Grants 1975-current (soon apps too): http://funglab.berkeley.edu/database/

Search criteria and filters

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Summary • Technology and research trajectories • Semantic distance • Interface demonstration of (soon to be) weekly updates • Last minute recap for everyone who walked in late

–  We’ll be here through and after Heidi’s presentation

• Everything here is/will eventually be on (can subscribe): –  http://www.funginstitute.berkeley.edu/blog-categories/faculty-directors-blog#

• Advertisement for collaborators! Post docs and visiting positions available particularly if you’re a social scientist who can code…