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<p class="MsoNormal">Interesting commentary and PNAS article about how women and men have very similar longevity in funding once they receive an R01- another reason to work on the pipeline….<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
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<p class="MsoNormal"><a href="https://na01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fnexus.od.nih.gov%2Fall%2F2018%2F09%2F07%2Ffunding-longevity-by-gender-among-nih-supported-investigators%2F&data=02%7C01%7C%7C78d814ebe59e4884794808d617e47b0f%7C9ef9f489e0a04eeb87cc3a526112fd0d%7C1%7C0%7C636722667416161210&sdata=KlhR6j%2B0OtOpB8fKTGNOBMk7DmRM7uB30wcjI7FPzy4%3D&reserved=0" originalsrc="https://nexus.od.nih.gov/all/2018/09/07/funding-longevity-by-gender-among-nih-supported-investigators/" shash="sJNdxhFiG5WWFz6T7U5KkTQKNYh3U432H9rWA70py+yQA/j7zOC0J3b3dwqIbPXC3lXWzyKQRvlC5xGCaXj3oh2zVDjhO5E5B3DHMO7+yhw6gZTsKHpeoHjFw0ThWYneJf76Fr1MMIj7HKMwvo/SXTTk/Dcg1yNUyqKNWLJ8too=">https://nexus.od.nih.gov/all/2018/09/07/funding-longevity-by-gender-among-nih-supported-investigators/</a><o:p></o:p></p>
<p class="MsoNormal"><a href="https://na01.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.pnas.org%2Fcontent%2Fearly%2F2018%2F07%2F10%2F1800615115&data=02%7C01%7C%7C78d814ebe59e4884794808d617e47b0f%7C9ef9f489e0a04eeb87cc3a526112fd0d%7C1%7C0%7C636722667416161210&sdata=RC2YGNjXuAhIAYp4OHbGivCP3LDs2hIZDT2dhABVO0I%3D&reserved=0" originalsrc="http://www.pnas.org/content/early/2018/07/10/1800615115" shash="tB5AyWlTc17XZchaNgvY2YytEi9SmHHnDVDxkDD2Y73AzvWkG9pbQqLKNbTeNBBLm0VUdpbxDpNibwroZ/MOJRFljdITdhFeeZow95qLKO7ZfuOh4tct/XaCVVBUdtmClrEnNQbFT/zeOttehEBbv7f+29Y8JqcDFSzL5jV+w6g=">http://www.pnas.org/content/early/2018/07/10/1800615115</a><o:p></o:p></p>
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<h1 style="mso-margin-top-alt:7.5pt;margin-right:0in;margin-bottom:0in;margin-left:0in;margin-bottom:.0001pt;line-height:18.0pt;vertical-align:baseline">
<span style="font-size:18.0pt;font-family:inherit;color:black">Funding Longevity by Gender Among NIH-Supported Investigators<o:p></o:p></span></h1>
<p class="MsoNormal" style="line-height:13.5pt;vertical-align:baseline"><span class="sep"><span style="font-size:9.0pt;font-family:inherit;color:#666666;border:none windowtext 1.0pt;padding:0in">Posted on </span></span><span style="font-size:9.0pt;font-family:inherit;color:#666666"><a href="https://na01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fnexus.od.nih.gov%2Fall%2F2018%2F09%2F07%2Ffunding-longevity-by-gender-among-nih-supported-investigators%2F&data=02%7C01%7C%7C78d814ebe59e4884794808d617e47b0f%7C9ef9f489e0a04eeb87cc3a526112fd0d%7C1%7C0%7C636722667416161210&sdata=KlhR6j%2B0OtOpB8fKTGNOBMk7DmRM7uB30wcjI7FPzy4%3D&reserved=0" originalsrc="https://nexus.od.nih.gov/all/2018/09/07/funding-longevity-by-gender-among-nih-supported-investigators/" shash="sJNdxhFiG5WWFz6T7U5KkTQKNYh3U432H9rWA70py+yQA/j7zOC0J3b3dwqIbPXC3lXWzyKQRvlC5xGCaXj3oh2zVDjhO5E5B3DHMO7+yhw6gZTsKHpeoHjFw0ThWYneJf76Fr1MMIj7HKMwvo/SXTTk/Dcg1yNUyqKNWLJ8too=" title="12:56 pm"><b><span style="color:#1834CE;border:none windowtext 1.0pt;padding:0in">September
 7, 2018</span></b></a><span class="by-author"><span style="border:none windowtext 1.0pt;padding:0in"> </span></span><span class="sep"><span style="border:none windowtext 1.0pt;padding:0in">by </span></span><span class="author"><span style="border:none windowtext 1.0pt;padding:0in"><a href="https://na01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fnexus.od.nih.gov%2Fall%2Fauthor%2Flauerm%2F&data=02%7C01%7C%7C78d814ebe59e4884794808d617e47b0f%7C9ef9f489e0a04eeb87cc3a526112fd0d%7C1%7C0%7C636722667416161210&sdata=xsx2u1U0dQXBLN%2FpJE5A71gZzgJkiUuop6r6ayt4fbQ%3D&reserved=0" originalsrc="https://nexus.od.nih.gov/all/author/lauerm/" shash="l2NwbctlXgwYIUS6L6dhwrAlN+T77hzYAK/iRlyHYXYIIsU+o6yos2UvPwqimtjS2a9cyC3Mgk4LsPe7HQYIjOomsOnQpv5xUk5xDqNCU0SXqcF6dEuQBMoCeJwtVK5IIX4EH9UbA9xmawxCGHMBYZQoCHnpurnP80Su5tNfVVw=" title="View all posts by Mike Lauer"><b><span style="color:#1834CE">Mike
 Lauer</span></b></a></span></span><o:p></o:p></span></p>
<p style="margin:0in;margin-bottom:.0001pt;background:white;vertical-align:baseline;font-style:inherit;font-weight:inherit;outline: 0px">
<span style="font-size:11.5pt;font-family:inherit;color:#373737">For nearly 10 years, more women than men received PhDs in the biomedical sciences, yet women are still underrepresented at every subsequent stage of academic advancement.  In 2015, for example,
 women <a href="https://na01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.nsf.gov%2Fstatistics%2F2017%2Fnsf17306%2Fdatatables%2Ftab-15.htm&data=02%7C01%7C%7C78d814ebe59e4884794808d617e47b0f%7C9ef9f489e0a04eeb87cc3a526112fd0d%7C1%7C0%7C636722667416161210&sdata=fBXw44XYz7Iyo6nO0PQwJERkfBxlJt2EQr4xC8MIxwA%3D&reserved=0" originalsrc="https://www.nsf.gov/statistics/2017/nsf17306/datatables/tab-15.htm" shash="nzL31Mim2XFyjlImGH8pzDnuaGZkff6+wZt9sqh9AiEms7DjmD98p+iCWe+sumGh90KYGgfjkA36KjtDy0sINdkSTedYggqhp7i33FqdVmIuGMUfDrBdZBmn+NZh++4SxaZoivRK/GUqBfpjtITj80+TCluQ2rhVJumtw8wT8OQ="><span style="color:#1834CE;border:none windowtext 1.0pt;padding:0in">earned
 53% of PhDs</span></a>, but <a href="https://na01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fncsesdata.nsf.gov%2Fsestat%2Fsestat.html&data=02%7C01%7C%7C78d814ebe59e4884794808d617e47b0f%7C9ef9f489e0a04eeb87cc3a526112fd0d%7C1%7C0%7C636722667416161210&sdata=VD2Pr2r%2FHOf9fQkDvTtilA%2FXVzT3iha1TClP1SeNTLk%3D&reserved=0" originalsrc="https://ncsesdata.nsf.gov/sestat/sestat.html" shash="VRqDu5N1mehvz0Na1W7xo6hVLSIofHp8T4vk/tj6YO+7jqparjlPOtcDFyOVIfJ3WjaUjAtb/gNt8yc8QneexAmFdsM35lqie0ZEHkM0BkbCp0Gx8MvhR8KiWxVoRpRWoZOxgIXuph3kSF6ZJLKBp32wcUlKjSHzltnYbbBspYo="><span style="color:#1834CE;border:none windowtext 1.0pt;padding:0in">they
 comprised only</span></a> 48% of post-doctoral fellows, 44% of assistant professors, and 35% of professors.<o:p></o:p></span></p>
<p style="margin:0in;margin-bottom:.0001pt;background:white;vertical-align:baseline;font-style:inherit;font-weight:inherit;outline: 0px">
<span style="font-size:11.5pt;font-family:inherit;color:#373737">To better understand what might be contributing to women’s underrepresentation in later stages of academia, Dr. Lisa Hechtman and her colleagues at the National Institute of General Medical Sciences
 (NIGMS) analyzed “funding longevity by gender” among funded NIH investigators.  Their analysis, <a href="https://na01.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.pnas.org%2Fcontent%2Fearly%2F2018%2F07%2F10%2F1800615115&data=02%7C01%7C%7C78d814ebe59e4884794808d617e47b0f%7C9ef9f489e0a04eeb87cc3a526112fd0d%7C1%7C0%7C636722667416161210&sdata=RC2YGNjXuAhIAYp4OHbGivCP3LDs2hIZDT2dhABVO0I%3D&reserved=0" originalsrc="http://www.pnas.org/content/early/2018/07/10/1800615115" shash="tB5AyWlTc17XZchaNgvY2YytEi9SmHHnDVDxkDD2Y73AzvWkG9pbQqLKNbTeNBBLm0VUdpbxDpNibwroZ/MOJRFljdITdhFeeZow95qLKO7ZfuOh4tct/XaCVVBUdtmClrEnNQbFT/zeOttehEBbv7f+29Y8JqcDFSzL5jV+w6g="><span style="color:#1834CE;border:none windowtext 1.0pt;padding:0in">recently
 published in the Proceedings of the National Academy of Sciences</span></a>, yielded a number of interesting findings which I’d like to share with you.<o:p></o:p></span></p>
<p style="mso-margin-top-alt:0in;margin-right:0in;margin-bottom:19.5pt;margin-left:0in;background:white;vertical-align:baseline;font-style:inherit;font-weight:inherit;outline: 0px">
<span style="font-size:11.5pt;font-family:inherit;color:#373737">Our NIGMS colleagues  started with 34,770 unique investigators who received their first major NIH research project grant  (RPG) between 1991 and 2010.  These supported investigators were followed
 over time to see how long they remained funded; if an investigator did not receive funding for 3 years in a row, they were considered to have dropped out of the funding pool.<o:p></o:p></span></p>
<p style="mso-margin-top-alt:0in;margin-right:0in;margin-bottom:19.5pt;margin-left:0in;background:white;vertical-align:baseline;font-style:inherit;font-weight:inherit;outline: 0px">
<span style="font-size:11.5pt;font-family:inherit;color:#373737">The first key finding is that of the 34,770 unique investigators, only 10,660 of them (or 31%) were women.  Even among the 9,969 investigators who first received funding between 2006 and 2010,
 only 3,342 (34%) were women.<o:p></o:p></span></p>
<p style="mso-margin-top-alt:0in;margin-right:0in;margin-bottom:19.5pt;margin-left:0in;background:white;vertical-align:baseline;font-style:inherit;font-weight:inherit;outline: 0px">
<span style="font-size:11.5pt;font-family:inherit;color:#373737">Figure 1 Panel A shows a Kaplan-Meier survival plot of funding longevity by gender.  Women had slightly less funding longevity, though at 25 years of follow-up the absolute difference was small
 – only 3.5%.<o:p></o:p></span></p>
<p style="mso-margin-top-alt:0in;margin-right:0in;margin-bottom:19.5pt;margin-left:0in;background:white;vertical-align:baseline;font-style:inherit;font-weight:inherit;outline: 0px">
<span style="font-size:11.5pt;font-family:inherit;color:#373737"><img border="0" width="575" height="991" style="width:5.9895in;height:10.3229in" id="Picture_x0020_4" src="cid:image001.gif@01D449AB.D0199600" alt="Figure 1 Panel A shows Survival by Gender. The X axis represents the year from their First RPG ranging from 0 to 25 years, while the Y axis represents survival as a percentage from 0 to 100. Two rows appear under the X axis showing the number at risk for men (red) and women (blue) at the corresponding year from first RPG. Panel B shows survival by 5 year cohorts. The X axis represents the year from first RPG ranging from 0 to 25 years, while the Y axis represents survival as a percentage from 0 to 100. Rows appear on the graph showing the number at risk grouped by cohort, including 1991-1995 (red), 1996-2000 (green), 2001-2005 (blue), and 2006-2010 (purple)."></span><span style="font-size:11.5pt;font-family:inherit;color:#373737"><o:p></o:p></span></p>
<p align="center" style="margin:0in;margin-bottom:.0001pt;text-align:center;background:white;vertical-align:baseline;font-style:inherit;font-weight:inherit;outline: 0px">
<em><span style="font-size:11.5pt;font-family:inherit;color:#373737;border:none windowtext 1.0pt;padding:0in">Figure 1</span></em><span style="font-size:11.5pt;font-family:inherit;color:#373737"><o:p></o:p></span></p>
<p style="mso-margin-top-alt:0in;margin-right:0in;margin-bottom:19.5pt;margin-left:0in;background:white;vertical-align:baseline;font-style:inherit;font-weight:inherit;outline: 0px">
<span style="font-size:11.5pt;font-family:inherit;color:#373737">Figure 1 Panel B shows longevity for all investigators according to when they received their first RPG.  Consistent with increasing hyper-competition, longevity was worse among more recent cohorts.<o:p></o:p></span></p>
<p style="mso-margin-top-alt:0in;margin-right:0in;margin-bottom:19.5pt;margin-left:0in;background:white;vertical-align:baseline;font-style:inherit;font-weight:inherit;outline: 0px">
<span style="font-size:11.5pt;font-family:inherit;color:#373737"><img border="0" width="575" height="593" style="width:5.9895in;height:6.177in" id="Picture_x0020_3" src="cid:image002.gif@01D449AB.D0199600" alt="Figure 2 shows survival by gender in 5 year cohorts. The X axis represents years from first RPG ranging from 0 to 25 years, while the left Y axis represents survival as a percentage from 0 to 100, and the right Y axis is gender as a proportion of the funding pool. A graph is shown for each cohort with the number at risk for men (red) and women (blue)."></span><span style="font-size:11.5pt;font-family:inherit;color:#373737"><o:p></o:p></span></p>
<p align="center" style="margin:0in;margin-bottom:.0001pt;text-align:center;background:white;vertical-align:baseline;font-style:inherit;font-weight:inherit;outline: 0px">
<em><span style="font-size:11.5pt;font-family:inherit;color:#373737;border:none windowtext 1.0pt;padding:0in">Figure 2</span></em><span style="font-size:11.5pt;font-family:inherit;color:#373737"><o:p></o:p></span></p>
<p style="mso-margin-top-alt:0in;margin-right:0in;margin-bottom:19.5pt;margin-left:0in;background:white;vertical-align:baseline;font-style:inherit;font-weight:inherit;outline: 0px">
<span style="font-size:11.5pt;font-family:inherit;color:#373737">Figure 2 shows longevity by gender and by when investigators received their first RPG.  For the first three time periods of first funding (1991-1995, 1996-2000, and 2001-2005), longevity was slightly
 less for women; for the last period of first funding (2006-2010) there was no difference.<o:p></o:p></span></p>
<p style="mso-margin-top-alt:0in;margin-right:0in;margin-bottom:19.5pt;margin-left:0in;background:white;vertical-align:baseline;font-style:inherit;font-weight:inherit;outline: 0px">
<span style="font-size:11.5pt;font-family:inherit;color:#373737"><img border="0" width="575" height="843" style="width:5.9895in;height:8.7812in" id="Picture_x0020_2" src="cid:image003.gif@01D449AB.D0199600" alt="Figure 3 shows three separate panels. Panel A is the new project applications per year by gender. The X axis represents the year of first major RPG, while the Y axis is the number of applications per year from 0 to 2. Panel B shows New project funding rates by gender. The X axis represents the year of first major RPG, while the Y axis is funding rate as a percent from 0 to 90. Panel C shows New project score percentiles per application by gender. The X axis represents the year of first major RPG, while the Y axis represents the score percentile per application ranging from 0 to 70. Each of the four cohort groups are displayed on each panel."></span><span style="font-size:11.5pt;font-family:inherit;color:#373737"><o:p></o:p></span></p>
<p align="center" style="margin:0in;margin-bottom:.0001pt;text-align:center;background:white;vertical-align:baseline;font-style:inherit;font-weight:inherit;outline: 0px">
<em><span style="font-size:11.5pt;font-family:inherit;color:#373737;border:none windowtext 1.0pt;padding:0in">Figure 3</span></em><span style="font-size:11.5pt;font-family:inherit;color:#373737"><o:p></o:p></span></p>
<p style="mso-margin-top-alt:0in;margin-right:0in;margin-bottom:19.5pt;margin-left:0in;background:white;vertical-align:baseline;font-style:inherit;font-weight:inherit;outline: 0px">
<span style="font-size:11.5pt;font-family:inherit;color:#373737">Beyond a first grant (which typically lasts 5 years), a scientist’s funding longevity depends on securing new awards or successfully renewing existing awards.  To gain a better understanding of
 why longevity was less for women, we see that in Figure 3 funded women submitted fewer new applications (Panel A); however, funding rates and peer review scores for new applications were no different for men and women (Panel C).  The box plots in Figure 4
 show the women sought project renewals less often (Panel A).  In contrast to new applications, funding rates were lower (Panel B) and peer review scores were worse (Panel C) for women.<o:p></o:p></span></p>
<p style="mso-margin-top-alt:0in;margin-right:0in;margin-bottom:19.5pt;margin-left:0in;background:white;vertical-align:baseline;font-style:inherit;font-weight:inherit;outline: 0px">
<span style="font-size:11.5pt;font-family:inherit;color:#373737"><img border="0" width="575" height="843" style="width:5.9895in;height:8.7812in" id="Picture_x0020_1" src="cid:image004.gif@01D449AB.D0199600" alt="Figure 4 shows three separate panels. Panel A shows the renewal project submission rates by gender. The X axis is the year at first major RPG from 1991-1995, while the Y axis is the submission rate from 0 to 100. Panel B shows the renewal project funding rates by gender. The X axis is the year of first major RPG, while the Y axis is the funding rate from 0 to 100. Panel C shows the Renewal project score percentiles per application by gender. The X axis is the year of first major RPG, while the Y axis is the score percentile per application from 0 to 70."></span><span style="font-size:11.5pt;font-family:inherit;color:#373737"><o:p></o:p></span></p>
<p align="center" style="margin:0in;margin-bottom:.0001pt;text-align:center;background:white;vertical-align:baseline;font-style:inherit;font-weight:inherit;outline: 0px">
<em><span style="font-size:11.5pt;font-family:inherit;color:#373737;border:none windowtext 1.0pt;padding:0in">Figure 4</span></em><span style="font-size:11.5pt;font-family:inherit;color:#373737"><o:p></o:p></span></p>
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<span style="font-size:11.5pt;font-family:inherit;color:#373737">Many other correlates may also offer insight into women’s lower funding longevity, such as age, degree type, type of initial awards, year of first funding, and institutional characteristics. Using
 a <a href="https://na01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.tandfonline.com%2Fdoi%2Fabs%2F10.1198%2Fjasa.2009.tm08622&data=02%7C01%7C%7C78d814ebe59e4884794808d617e47b0f%7C9ef9f489e0a04eeb87cc3a526112fd0d%7C1%7C0%7C636722667416161210&sdata=QrviGwlMYfQh1TfrKxQs4SkOGgWWVfPOGTUAnYVZrns%3D&reserved=0" originalsrc="https://www.tandfonline.com/doi/abs/10.1198/jasa.2009.tm08622" shash="mvFBFsePfTNdRPFs7VjmPUkmi2WDcuYyHuHNJVIq1kxh3/rmdc5V+i4PijaENokFzI/7rYEfOrLBfcB0cC22/ZAI689D/51zVpjjTBXoMJXcc+RvFGiyvoE9S32ZGPXQBh2czaKkzfgARzYkM06e443Jsc3oeb/VxCL3pm9LK6A="><span style="color:#1834CE;border:none windowtext 1.0pt;padding:0in">machine
 learning approach</span></a><u>,</u> our colleagues identified renewal submission rate, new application submission rate, and funding per year as the variables which most strongly predicted funding longevity (data not shown). Of note, gender was “the least
 useful variable in predicting survival time.”<o:p></o:p></span></p>
<p style="mso-margin-top-alt:0in;margin-right:0in;margin-bottom:19.5pt;margin-left:0in;background:white;vertical-align:baseline;font-style:inherit;font-weight:inherit;outline: 0px">
<span style="font-size:11.5pt;font-family:inherit;color:#373737">In summary, the authors found “only small differences in NIH funding longevity between genders.”  The most “striking” difference was women’s initial underrepresentation. This “overwhelms all other
 gender differences that we report” – such as lower new application and renewal application rates and lower funding rates for renewal applications.  The authors conclude that, despite the comparable longevities of funded men and women investigators, “broad
 gender differences remain, and that thoughtful intervention during key transitions such as those described could help reduce the differences.<o:p></o:p></span></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal"><span style="font-size:7.5pt;color:black">_____________________________________________________________________</span><span style="font-size:12.0pt;font-family:"Times New Roman",serif;color:black"><o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:9.0pt;color:black">Ora A. Weisz, PhD | Professor of Medicine, Professor of Cell Biology
</span><span style="font-size:12.0pt;font-family:"Times New Roman",serif;color:black"><o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:9.0pt;color:black">Vice Chair of Faculty Development,  Department of Medicine</span><span style="font-size:12.0pt;font-family:"Times New Roman",serif;color:black"><o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:9.0pt;color:black">Associate Dean for Faculty Development,  University of Pittsburgh School of Medicine</span><span style="font-size:12.0pt;font-family:"Times New Roman",serif;color:black"><o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:9.0pt;color:black">Assistant Vice Chancellor for Faculty Excellence, University of Pittsburgh Health Sciences</span><span style="font-size:12.0pt;font-family:"Times New Roman",serif;color:black"><o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:9.0pt;color:black">Renal-Electrolyte Division | 978.1 Scaife Hall | 3550 Terrace St. | Pittsburgh PA 15261</span><span style="font-size:12.0pt;font-family:"Times New Roman",serif;color:black"><o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:9.0pt;color:black">Tel: 412-383-8891 | Email:
<a href="mailto:weisz@pitt.edu"><span style="color:blue">weisz@pitt.edu</span></a></span><o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
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