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Biology subjects

Andersson, E. R.

Publications and source records attributed to Andersson, E. R..

2 recordsLinked to original sources

Implicit bias is strongest when assessing top candidates

BackgroundAcademic life is highly competitive and expectations of fair competition underlie the assumption that academia is a meritocracy. However, implicit bias reinforces gender inequality in all peer review processes, unfairly eliminating outstanding individuals and depleting academia of diversity. Here, we ask whether applicant gender biases reviewer assessments of merit in Sweden, a country that is top ranked for gender equality. MethodsWe analyzed the peer review procedure for positions awarded at a Swedish medical University, Karolinska Institutet (KI), during four consecutive years (2014-2017) for Assistant Professor (n=207) and Senior Researcher (n=153). We derived a composite bibliometric score to compute productivity, and compared this to subjective external (non-KI) peer reviewer scores on applicants merits to test their association for men and women, separately. ResultsMen and women with equal merits are not scored equally by reviewers. Men generally have stronger associations (steeper slopes) between computed productivity and subjective external scores, meaning that peer reviewers suitably "reward" mens productivity with increased merit scores. However, for each additional composite bibliometric score point, women applying for Assistant Professor positions only receive 58% (79% for Senior Researcher) of the external reviewer score that men received, confirming that implicit bias affects external reviewers assessments. As productivity increases, the difference in merit scores between men and women increases. ConclusionsAccumulating bias impacts most strongly in the highest tier of competition, the pool from which successful candidates are ultimately chosen. Gender bias is apparent in external peer review processes of applications for academic positions in Sweden, and is likely to reinforce the unbalanced numbers of professorships in Sweden.

scientific communication and education

DoUble resin Casting micro computed Tomography (DUCT) reveals biliary and vascular pathology in a mouse model of Alagille syndrome

BACKGROUND AND AIMSAlagille syndrome, like several other liver diseases, is characterized by malformation of lumenized structures, such as the circulatory or biliary systems. Liver architecture has typically been studied through 2D sections and, more recently, using thick tissue sections combined with immunofluorescence. We aimed to develop a robust method to image, digitalize and quantify 3D architecture of the biliary and vascular systems in tandem. METHODSThe biliary and portal vein trees of the mouse liver were injected with Microfil resin, followed by microCT scanning. Tomographic data was segmented and analyzed using a MATLAB script we wrote to investigate length, volume, tortuosity, branching, and the relation between the vascular and biliary systems. Double resin casting micro computed tomography (DUCT) was applied to a mouse model for Alagille syndrome (Jag1Ndr/Ndr mice), in which the biliary system is absent at postnatal stages, but regenerates by adulthood. Phenotypes discovered using DUCT were validated with cumbersome consecutive liver sections from mouse and human liver including patients with Alagille syndrome. RESULTSDUCT revealed tortuous bile ducts either placed further from portal veins, or ectopically traversing the parenchyma and connecting two portal areas, in Jag1Ndr/Ndr mice. Furthermore, bile ducts either ended abruptly, or branched independently of portal vein branching, with bifurcations placed hilar or peripheral to portal vein branches. The branching defects, parenchymal bile ducts, and blunt endings were confirmed in patient samples. CONCLUSIONDUCT is a powerful technique, which provides computerized 3D reconstruction of casted networks. It exposes and quantifies previously unknown vascular and biliary phenotypes in mouse models, revealing new phenotypes in patients. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=81 SRC="FIGDIR/small/848481v1_ufig1.gif" ALT="Figure 1"> View larger version (34K): org.highwire.dtl.DTLVardef@1565121org.highwire.dtl.DTLVardef@1e86cfcorg.highwire.dtl.DTLVardef@4b4cc3org.highwire.dtl.DTLVardef@19cb20e_HPS_FORMAT_FIGEXP M_FIG C_FIG

pathology