27 research outputs found
Gender Representation on Journal Editorial Boards in the Mathematical Sciences
We study gender representation on the editorial boards of 435 journals in the
mathematical sciences. Women are known to comprise approximately 15% of
tenure-stream faculty positions in doctoral-granting mathematical sciences
departments in the United States. Compared to this pool, the likely source of
journal editorships, we find that 8.9% of the 13067 editorships in our study
are held by women. We describe group variations within the editorships by
identifying specific journals, subfields, publishers, and countries that
significantly exceed or fall short of this average. To enable our study, we
develop a semi-automated method for inferring gender that has an estimated
accuracy of 97.5%. Our findings provide the first measure of gender
distribution on editorial boards in the mathematical sciences, offer insights
that suggest future studies in the mathematical sciences, and introduce new
methods that enable large-scale studies of gender distribution in other fields.Comment: 21 pages, 10 figure
Cognitive Load of Rating Scales
Why does Netflix.com use star ratings, Digg.com use up/down votes and Face- book use a “like” but not a “dislike” button? In this paper, we extend existing research on rating scales with findings from an experiment we ran to measure the cognitive load users experience while rating. In this paper, we analyze the cognitive load and time required by different rating scales. Our analysis draws upon 14,000 movie and product ratings we collected from 348 users through an online survey. In the survey, we measured the speed and cognitive load users ex- perience under four scales: unary (‘like it’), binary (thumbs up / thumbs down), five-star, and a 100-point slider. We compare a variety of measures of cognitive load and rating speed, and draw conclusions for user interface designers based on our results. Our advice to designers is grounded in the responses from users regarding their opinions of scales, the existing research, and in the models we build of the data collected from the experiment
Tag expression: Tagging with feeling
ABSTRACT In this paper we introduce tag expression, a novel form of preference elicitation that combines elements from tagging and rating systems. Tag expression enables users to apply affect to tags to indicate whether the tag describes a reason they like, dislike, or are neutral about a particular item. We present a user interface for applying affect to tags, as well as a technique for visualizing the overall community's affect. By analyzing 27,773 tag expressions from 553 users entered in a 3-month period, we empirically evaluate our design choices. We also present results of a survey of 97 users that explores users' motivations in tagging and measures user satisfaction with tag expression
Keynote - Shilad Sen
Shilad Sen is an Associate Professor of Computer Science at Macalester College in St. Paul, MN and a data science research fellow for Target Corporation. He studies the relationship between algorithms, software, and people and focuses on biases and inequalities along dimensions such as race, gender, and geography. Sen’s research has been recognized through grants from the National Science Foundation, best papers awards at top computer science conferences, and coverage in popular press venues including The Atlantic. He received his PhD from the University of Minnesota and Bachelor’s Degrees in Math and Saxophone Performance from Northwestern University.
See 2019 Keynotes page for full vide
Distribution of journals by proportion of editorships held by women.
<p>The median journal’s editorial board is 7.6% women, indicated by the vertical dashed line. The large spike at the left of the histogram represents 62 journals having less than one-half percent women on the editorial board. In fact, 51 journals have no women, accounting for 11.8% of the 435 journals in our data set.</p
Distribution of publishers by proportion of editorships held by women.
<p>The median publisher has 7.3% editorships held by women, indicated by the vertical dashed line. The large spike at the left of the histogram represents 18 publishers having less than one-half percent women on the editorial board. Of these, 16 publishers have no women at all. All 18 are all publishers with only one journal appearing in our data set. The three small, rightmost bars also correspond to publishers each with a single journal each in our data set, the largest of which has 21 editorships.</p
Proportion of editorships in each country that are held by women.
<p>Countries with no editors are shown in gray.</p
Publishers with over 100 editorships, ordered by representation of women.
<p>The number on top of each bar gives the quantity of editorships from each publisher and the percentages within the bars state the proportion held by women, represented by the green area. The four publishers with the highest representation of women are scientific societies or university publishing houses.</p