High-Impact Innovations and Hidden Gender Disparities in Inventor-Evaluator Networks

TL;DR

The paper demonstrates that the gender innovation gap is concentrated in unconventional innovations that blend disparate ideas, rather than in conventional innovations. Using a CPC-based unconventionality metric and multi-country patent data, it shows that institutional practices—especially examiner experience and biased examiner-inventor assignment—drive lower grant rates for women pursuing unconventional work, with tangible losses in high-impact outcomes. The findings are replicated in UK and Canada and point to actionable policy changes, such as aligning examiner expertise and review time with the demands of unconventional innovations, to close the gender gap in innovation. Overall, the study shifts the focus from cultural stereotypes to modifiable institutional arrangements that constrain breakthrough progress for women inventors.

Abstract

We study of millions of scientific, technological, and artistic innovations and find that the innovation gap faced by women is far from universal. No gap exists for conventional innovations. Rather, the gap is pervasively rooted in innovations that combine ideas in unexpected ways - innovations most critical to scientific breakthroughs. Further, at the USPTO we find that female examiners reject up to 33 percent more unconventional innovations by women inventors than do male examiners, suggesting that gender discrimination weakly explains this innovation gap. Instead, new data indicate that a configuration of institutional practices explains the innovation gap. These practices compromise the expertise women examiners need to accurately assess unconventional innovations and then "over-assign" women examiners to women innovators, undermining women's innovations. These institutional impediments negatively impact innovation rates in science but have the virtue of being more amenable to actionable policy changes than does culturally ingrained gender discrimination.

Figures (7)

• Figure 1: Illustrative example of how the same type of innovation can be approached from the perspective of conventional and unconventional thinking. This example illustrates a comparison between unconventional (top, Pat. App. No. 11/156177) and conventional (bottom, Pat. App. No. 11/367461) inventions, both having the same focal CPC code. It highlights the combined CPC codes and summarizes the invention titles and code description. Network diagrams in the center display combinations of categories in each invention, with proximity indicating commonality and distance indicating rarity. The top network depicts the highly cited unconventional invention “Method and apparatus for health and disease management combining patient data monitoring with wireless internet connectivity,” linking rare pairwise combinations of CPC codes H04N, G08B, and H04Q with focal code A61B. The bottom network depicts the conventional invention “X-ray computed tomographic apparatus, image processing apparatus, and image processing method,” using frequent pairwise combinations of CPC codes G21K, G01N, and H05G with focal code A61B. The table quantifies unconventionality, showing relationships ranging from highly unconventional (positive, green) to conventional (negative, red).
• Figure 2: The gender gap exists primarily for innovations that incorporate unconventional thinking. A) This plot shows the relationship between the type of innovation and grant rate by team gender composition in the USPTO data. It depicts a binned scatterplot, showing averages within bins, with regression lines by team gender composition over the full range of data with controls for heterogeneity in CPC codes and team size along with standard errors clustered by year to account for intra-correlation. Women’s success rates decrease as their innovations become increasingly unconventional. B) The residual margins plot (with 95% CIs) shows the estimated patent grant rate on the interaction of team gender majority and unconventionality from a logit model that includes controls for team size, year, CPC class, examiner gender, examiner and inventor experience, and applicant entity size in the USPTO data. The plot indicates that the innovation gap for women scales with the level of innovation unconventionality. The gender gap appears and widens the more that innovations from women inventors push the boundaries of convention. Innovations that stay within the confines of conventional thinking show less difference in grant rate for women and men innovators. Regression fit and cross validation statistics are reported in the SI and generalizations of the gender gap-unconventionality scaling relationship are reported for international patents.
• Figure 3: Examiner experience and assignment impacts grant rates and decision accuracy, and examiner gender is not a factor in evaluation decisions. (A) In appeals of patenting decisions, experienced examiners’ decisions are reversed less frequently than inexperienced examiners, suggesting experienced examiners’ decisions are more accurate. For each level of examination experience, the global reversal rate within appealed patent applications for unconventional and conventional innovations is shown. (B) Depicts a binned scatterplot of the proportion of women and men innovators on a patent application and examiner experience (measured in patent application disposals) with regression lines included that control for year, team size, entity, examiner gender, and CPC class. The more women on an application, the less experience their patent examiners have; the more men on an application, the more experience their examiners have. (C) Heatmap of acceptance rate for men examiners by examiner experience quantile and unconventionality quantile (ten quantiles each) on USPTO data. (D) Heatmap of acceptance rate for women examiners by examiner experience quantile and unconventionality quantile (ten quantiles each) on USPTO data. Experience drives openness to unconventionality for both men and women examiners, with similar acceptance rates across experience and unconventionality quantiles.
• Figure 4: Institutional factors disadvantage women inventors with less review time for women’s unconventional innovations. Analysis of data on patent examination hour crediting by the USPTO shows that the areas women invent in get less time for examination, a relationship that intensifies when women innovators engage in unconventional work. This depicts a residual margins plot (with 95% CIs) of the estimates of the gender difference in credited examination hours on the interaction of the gender majority of an inventor team and unconventionality from a linear regression model that includes controls for team size, year, CPC class, examiner gender, examiner and inventor experience, and applicant entity size in the USPTO data.
• Figure S5: Women are less likely to be awarded a patent than are men through time. The data represents 4,754,198 patents submitted to the U.S. Patent Office (USTPO) between 2002 and 2018. The gender difference (between single-gender teams) in success in being awarded a patent is persistent across time despite significant increases in the number of women innovators seeking patents and the nearly 1-to-1 ratio of women to men in STEM college majors responsible for patenting including chemistry, biology, math, and other fields cimpian2020understanding.