Science and Technology
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H2020 Expert Group to update and expand “Gendered Innovations/ Innovation through Gender” 

Chairperson: Londa Schiebinger 

Rapporteur: Ineke Klinge

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Policy Briefs
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European Commission
Authors
Londa Schiebinger
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The goal of sex and gender analysis is to promote rigorous, reproducible and responsible science. Incorporating sex and gender analysis into experimental design has enabled advancements across many disciplines, such as improved treatment of heart disease and insights into the societal impact of algorithmic bias. Here we discuss the potential for sex and gender analysis to foster scientific discovery, improve experimental efficiency and enable social equality. We provide a roadmap for sex and gender analysis across scientific disciplines and call on researchers, funding agencies, peer-reviewed journals and universities to coordinate efforts to implement robust methods of sex and gender analysis.

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Journal Articles
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Nature
Authors
Cara Tannenbaum
Robert P. Ellis
Friederike Eyssel
James Zou
Londa Schiebinger
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Gender diversity has the potential to drive scientific discovery and innovation. Here, we distinguish three approaches to gender diversity: diversity in research teams, diversity in research methods and diversity in research questions. While gender diversity is commonly understood to refer only to the gender composition of research teams, fully realizing the potential of diversity for science and innovation also requires attention to the methods employed and questions raised in scientific knowledge-making. We provide a framework for understanding the best ways to support the three approaches to gender diversity across four interdependent domains — from research teams to the broader disciplines in which they are embedded to research organizations and ultimately to the different societies that shape them through specific gender norms and policies. Our analysis demonstrates that realizing the benefits of diversity for science requires careful management of these four interdependent domains.

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Journal Articles
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Nature: Human Behavior
Authors
Mathias Wullum Nielsen
Carter Walter Bloch
Londa Schiebinger
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In 1670 the Sicilian painter Agostino Scilla (1629–1700) devised an entirely new way of depicting fossils when he wrote and illustrated his Vain Speculation Undeceived by Sense (1670–1671), which argued that fossils were the remains of once living creatures and not mimetic stones. This essay explores the nature of Scilla’s graphic innovations, comparing his fossils drawings and Pietro Santi Bartoli’s engravings of them to earlier and contemporary images of fossils. Scilla captured the effect of time on nature by infusing his style of drawing with his philosophical understanding of what it means to see and to know. He made his drawing less rich in detail to focus on those which served his purpose. In particular, he made the first use of dotted lines in paleontological illustration to render his images dynamic theoretical interpretations rather than static depictions.

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Journal Articles
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Endeavor
Authors
Paula Findlen
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Former Lecturer in History
Former Mellon Postdoctoral Fellow of the Stanford Humanities Center
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I work on the history of early modern Europe, combining social, legal and intellectual history with spatial and digital methods. My research explores how old-regime societies negotiated freedom of movement and its restriction, how they justified and denounced phenomena like serfdom, and to what extent the spatial make-up of their world differed from ours.

My first book, Porous Order, retraces the history of the modern state’s grasp over flows of goods and people, particularly during the early modern period. After having dug through more than twenty archives between the Alps and the North Sea, I am able to show how travelers, jurists and officials negotiated passage and obstruction on the roads and rivers of the Old Reich, one of the pre-modern world’s most fragmented regions. I do this with particular reference to safe-conduct, that is, the quasi-sovereign right to escort travelers and to levy duties on passing goods and people. My book challenges conventional conceptions of pre-modern statehood, and offers a new account of how early modern polities claimed and disputed rights of passage.

My second project explores the history of the atmosphere in early modernity. With the rise of global history, historians have continuously expanded the spatial scope of their studies in a horizontal movement. In recent decades, however, a growing body of literature has begun to discuss the human exploration of the atmosphere and outer space in a distinctly vertical dynamic. A widespread assumption in this literature is that the history of airspace begins with the history of aviation. My project combines archival research, text mining, and GIS to show to that the human engagement with airspace has a longer history.

I use geospatial and distant reading approaches to explore phenomena that escape the grasp of conventional scholarship. I have completed statistical, GIS, and computational training at Heidelberg, Columbia, and Stanford. Within Stanford’s Spatial History Project, I lead a digital mapping project that uses GIS and other digital tools to create new maps of old-regime Europe. I also participate in a collaborative digital history project on mobility in the early modern world. My digital research uses advanced computing to gain a more adequate understanding of pre-modern political geography, to retrace the ways in which goods and people travelled through the physical landscape, and to uncover broad spatial and temporal trends in intellectual history. I am excited about how digital tools facilitate, complement and transform scholarship in the humanities.

I have designed and taught numerous lecture and seminar classes for undergraduate, graduate, and doctoral students at Stanford, Berlin, and Florence, on different aspects of of early modern history, on spatial history and on the digital humanities. I also acted as co-director of Stanford’s Digital Humanities Graduate Fellowship Program.

I am a Mellon Postdoctoral Fellow and a lecturer at Stanford University. I earned a PhD in History from the European University Institute, a MA in History from the École des hautes études en sciences sociales and University of Heidelberg, as well as a BA in Economics from that same university. Before moving to California, I taught at the Free University of Berlin. I have also been a visiting scholar at the University of Saint Andrews and at Columbia University.

 

Affiliated Lecturer at The Europe Center
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Distinguished Visiting Austrian Chair Professor (2017-2018)
Professor of Data and Knowledge Engineering, Vienna University of Economics and Business
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Axel Polleres heads the Institute of Information Business of Vienna University of Economics and Business (WU Wien) which he joined in Sept 2013 as a full professor in the area of "Data and Knowledge Engineering". Since January 2017 he is also a member of the Complexity Science Hub Vienna Faculty. He obtained his Ph.D. and habilitation from Vienna University of Technology and worked at University of Innsbruck, Austria, Universidad Rey Juan Carlos, Madrid, Spain, the Digital Enterprise Research Institute (DERI) at the National University of Ireland, Galway, and for Siemens AG's Corporate Technology Research division before joining WU Wien. His research focuses on querying and reasoning about ontologies, rules languages, logic programming, Semantic Web technologies, Web services, knowledge management, Linked Open Data, configuration technologies and their applications. He has worked in several European and national research projects in these areas. Axel has published more than 100 articles in journals, books, and conference and workshop contributions and co-organised several international conferences and workshops in the areas of logic programming, Semantic Web, data management, Web services and related topics and acts/acted as editorial board member for JWS, SWJ and IJSWIS. Moreover, he actively contributed to international standardisation efforts within the World Wide Web Consortium (W3C) where he co-chaired the W3C SPARQL working group.

Head, Institute of Information Business, Vienna University of Economics and Business
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The article introduces the All Minorities at Risk (AMAR) data, a sample of socially recognized and salient ethnic groups. Fully coded for the forty core Minorities at Risk variables, this AMAR sample provides researchers with data for empirical analysis free from the selection issues known in the study of ethnic politics to date. We describe the distinct selection issues motivating the coding of the data with an emphasis on underexplored selection issues arising with truncation of ethnic group data, especially when moving between levels of data. We then describe our sampling technique and the resulting coded data. Next, we suggest some directions for the future study of ethnicity and conflict using our bias-corrected data. Our preliminary correlations suggest selection bias may have distorted our understanding about both group and country correlates of ethnic violence.

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Journal of Conflict Resolution
Authors
Jóhanna K. Birnir
David Laitin
Jonathan Wilkenfeld
David M. Waguespack
Agatha S. Hultquist
Ted R. Gurr
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The Stata package krls as well as the R package KRLS implement kernel-based regularized least squares (KRLS), a machine learning method described in Hainmueller and Hazlett (2014) that allows users to tackle regression and classification problems without strong functional form assumptions or a specification search. The flexible KRLS estimator learns the functional form from the data, thereby protecting inferences against misspecification bias. Yet it nevertheless allows for interpretability and inference in ways similar to ordinary regression models. In particular, KRLS provides closed-form estimates for the predicted values, variances, and the pointwise partial derivatives that characterize the marginal effects of each independent variable at each data point in the covariate space. The method is thus a convenient and powerful alternative to ordinary least squares and other generalized linear models for regression-based analyses.

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Journal Articles
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Journal of Statistical Software
Authors
Jeremy Ferwerda
Jens Hainmueller
Chad J. Hazlett
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It is a global story, a new industrial revolution. The spread of the internet and the proliferation of social media have led to dramatic changes with salutary results: greater access to more diverse information, gateways to goods and services that have transformed the retail experience, and opportunities to engage and network with expanded communities, while still staying in touch with friends and family, all thanks to the blessings of these new technologies.

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Commentary
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The Caravan
Authors
Russell A. Berman
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As Silicon Valley prepares to welcome Indian Prime Minister Narendra Modi, Stanford historian Priya Satia argues that Indians and Americans should remember the state-abetted violence and intolerance of minorities in the recent past as enthusiasm for "Digital India" overwhelms concerns of religious and individual freedom in the September 18, 2015 edition of The Huffington Post.

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Commentary
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The Huffington Post
Authors
Priya Satia
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