How Inclusive are We?

Bonifati, Angela; Mior, Michael J.; Naumann, Felix; Noack, Nele Sina

doi:10.1145/3516431.3516438

Cited by 4 publications

(6 citation statements)

References 9 publications

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“…However, they concluded none of these factors influenced significantly the gender ratio. Similarly, Bonifati et al (2022) did not find an effect on double-blind review over singleblind review even if they had data where the same conference had made the change in their review process. Both works (being from 2022) however concluded, that there is a chance that some of the effects are only visible after the next decade or so, when the current Ph.D. students become leaders of their own labs, for example.…”

Section: Discussionmentioning

confidence: 95%

“…This number alone bases it in the high end of the reported 10-44% of computer science conferences in Cohoon et al (2011). In comparison to newer studies, average in computer systems was reported to be only around 10% in Frachtenberg and Kaner (2022) and 30-70% in database research reported in late 2021 (Bonifati et al, 2022). The distribution of the number of the PerCom articles over the years is illustrated in Figure 1.…”

Section: Gender In Accepted Articlesmentioning

confidence: 88%

“…Out of 610 articles total, 73 had a female first author (11.9%) and 69 had a female lead author (11.3%). In comparison to the database field where the numbers have been reported similarly (Bonifati et al, 2022), the average for female first authors varies between 12 and 25% and female lead authors between 15 and 25%. It is noteworthy that even if the number of overall female-authored articles is higher in PerCom than in some other conferences (e.g., in systems research) and equal to, for example, the database field, the number of first and lead female authors is hindering behind significantly.…”

Section: Gender In Accepted Articlesmentioning

confidence: 91%

“…This work considers three categories of authorship: if there is a female author at all, if the first/main author is a female, and if the last/leading author is a female. This diversion is already used in some previous studies (Bonifati et al, 2022). First, overall authorship, i.e., if there is at least one female in the group of authors for the given article.…”

Section: Authorship Definitionsmentioning

confidence: 99%

“…For some reason, ACM UbiComp was not considered in a study by Cohoon et al (2011) that highlighted female participation in some other major ACM conferences 10 years ago. In a more recent study in Bonifati et al (2022) focus on female presentation in database community. They are able to conclude with very similar results to Cohoon et al 10 years ago: the presentation of female authors is slowly increasing, but women are still an underrepresented group in computer science.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

The role of gender in the International Conference on Pervasive Computing and Communications

Peltonen

2022

Front. Comput. Sci.

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The International Conference on Pervasive Computing and Communications (IEEE PerCom) is a CORE 2021 A* conference (top 7% of ranked venues) that aims to present scientific advances in a broad spectrum of technologies and topics in ubiquitous/pervasive computing, including wireless networking, mobile and distributed computing, sensor systems, ambient intelligence, and smart devices. During the last couple of years, the PerCom organization committee has successfully included many prestigious female researchers to submit, participate, and organize the conference. However, there is still work to do and to help the progress, this article analyses the history of the conference from a gender perspective. This article goes through accepted articles of the last 20 years of the PerCom conferences, showing that even if the role of female authors, in general, has increased, more first and leading female researchers should still be welcomed in the community. Through this analysis, this article aims to highlight the role of gender in the conference program and seeks to find trends and possible improvements to achieve a broader gender balance in pervasive computing.

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Section: Discussionmentioning

confidence: 95%

Section: Gender In Accepted Articlesmentioning

confidence: 88%

Section: Gender In Accepted Articlesmentioning

confidence: 91%

Section: Authorship Definitionsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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The role of gender in the International Conference on Pervasive Computing and Communications

Peltonen

2022

Front. Comput. Sci.

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Prerequisite-driven Fair Clustering on Heterogeneous Information Networks

Zhang

Wang

Sun

et al. 2023

Proc. ACM Manag. Data

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This paper studies the problem of fair clustering on heterogeneous information networks (HINs) by considering constraints on structural and sensitive attributes. We propose a Prerequisite-driven Fair Clustering (PDFC ) algorithm to solve this problem. Specifically, we define the structural constraint on the connection among nodes in HINs by combining meta-paths and prerequisite meta-paths and introduce Fairlets as the balance constraint. Under two constraints, we learn node embeddings based on graph models and perform theCholesky decomposition to obtain their orthogonal embeddings. We fuse node embeddings under constraints, define the loss function of PDFC, and perform k-means to achieve clustering. In addition, we design an update strategy of the adjacency matrix to achieve dynamic PDFC over time. Compared with several fair clustering algorithms on three real-world datasets, our experimental results verify the effectiveness and efficiency of PDFC.

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Multifactor Citation Analysis over Five Years: A Case Study of SIGMETRICS Papers

Frachtenberg

2022

Publications

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Performance evaluation is a broad discipline within computer science, combining deep technical work in experimentation, simulation, and modeling. The field’s subjects encompass all aspects of computer systems, including computer architecture, networking, energy efficiency, and machine learning. This wide methodological and topical focus can make it difficult to discern what attracts the community’s attention and how this attention evolves over time. As a first attempt to quantify and qualify this attention, using the proxy metric of paper citations, this study looks at the premier conference in the field, SIGMETRICS. We analyze citation frequencies at monthly intervals over a five-year period and examine possible associations with myriad other factors, such as time since publication, comparable conferences, peer review, self-citations, author demographics, and textual properties of the papers. We found that in several ways, SIGMETRICS is distinctive not only in its scope, but also in its citation phenomena: papers generally exhibit a strongly linear rate of citation growth over time, few if any uncited papers, a large gamut of topics of interest, and a possible disconnect between peer-review outcomes and eventual citations. The two most-cited papers in the dataset also exhibit larger author teams, higher than typical self-citations, and distinctive citation growth curves. These two papers, sharing some coauthors and a research focus, could either signal the area where SIGMETRICS had the most research impact, or they could represent outliers; their omission from the analysis reduces some of the otherwise distinctive observed metrics to nonsignificant levels.

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How Inclusive are We?

Cited by 4 publications

References 9 publications

The role of gender in the International Conference on Pervasive Computing and Communications

The role of gender in the International Conference on Pervasive Computing and Communications

Prerequisite-driven Fair Clustering on Heterogeneous Information Networks

Multifactor Citation Analysis over Five Years: A Case Study of SIGMETRICS Papers

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