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<p class="MsoNormal"><span style="font-size:12.0pt;font-family:"Times New Roman",serif">1. NIH request for information: ORWH has published a Request for Information (RFI) on the next Trans-NIH Strategic Plan for Research on Women’s Health. It can be found
in the latest NIH Guide (<a href="https://grants.nih.gov/grants/guide/notice-files/NOT-OD-17-108.html">https://grants.nih.gov/grants/guide/notice-files/NOT-OD-17-108.html</a>).<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt;font-family:"Times New Roman",serif"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt;font-family:"Times New Roman",serif">2. Gender and machine learning: Semantics derived automatically from language corpora contain human-like biases by Aylin Caliskan, Joanna Bryson, Arvind Narayanan See all authors
and affiliations, <i>Science </i> 14 Apr 2017: Vol. 356, Issue 6334, pp. 183-186 DOI: 10.1126/science.aal4230:
<a href="http://science.sciencemag.org/content/356/6334/183">http://science.sciencemag.org/content/356/6334/183</a><o:p></o:p></span></p>
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<p class="MsoNormal"><span style="font-size:12.0pt;font-family:"Times New Roman",serif">3. Gender and machine learning: Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints by Jieyu Zhao, Tianlu Wang, Mark Yatskar, Vicente
Ordonez. Kai-Wei Chang<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt;font-family:"Times New Roman",serif"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt;font-family:"Times New Roman",serif">4. Fewer Women Run Big Companies Than Men Named John:
<a href="https://www.nytimes.com/2015/03/03/upshot/fewer-women-run-big-companies-than-men-named-john.html?_r=0">
https://www.nytimes.com/2015/03/03/upshot/fewer-women-run-big-companies-than-men-named-john.html?_r=0</a><o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt;font-family:"Times New Roman",serif"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt;font-family:"Times New Roman",serif">5. Harvard Business Review on improving diversity in teams: https://hbr.org/2017/07/what-we-learned-from-improving-diversity-rates-at-pinterest<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt;font-family:"Times New Roman",serif"><o:p> </o:p></span></p>
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<p class="MsoNormal"><span style="font-size:12.0pt;font-family:"Times New Roman",serif">All best, Londa
<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt;font-family:"Times New Roman",serif"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt;font-family:"Times New Roman",serif">Londa Schiebinger<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt;font-family:"Times New Roman",serif">Director, EU/US Gendered Innovations in Science, Health & Medicine, Engineering, and Environment Project
<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt;font-family:"Times New Roman",serif">John L. Hinds Professor of History of Science, Stanford University
<o:p></o:p></span></p>
<p class="MsoNormal"><a href="http://www.stanford.edu/dept/HPST/schiebinger.html"><span style="font-size:12.0pt;font-family:"Times New Roman",serif;color:#0563C1">http://www.stanford.edu/dept/HPST/schiebinger.html</span></a><span style="font-size:12.0pt;font-family:"Times New Roman",serif"><o:p></o:p></span></p>
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<p class="MsoNormal"><span style="font-size:12.0pt;font-family:"Times New Roman",serif">______________________________________________________________________<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt;font-family:"Times New Roman",serif">To unsubscribe, send an email to
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