How Inclusive are We?

Author:

Bonifati Angela1,Mior Michael J.2,Naumann Felix3,Sina Noack Nele4

Affiliation:

1. Lyon 1 University & Liris CNRS, France

2. Rochester Institute of Technology, Rochester , NY, USA

3. Hasso Plattner Institute University of Potsdam, Germany

4. University of Potsdam, Germany

Abstract

ACM SIGMOD, VLDB and other database organizations have committed to fostering an inclusive and diverse community, as do many other scientific organizations. Recently, different measures have been taken to advance these goals, especially for underrepresented groups. One possible measure is double-blind reviewing, which aims to hide gender, ethnicity, and other properties of the authors. We report the preliminary results of a gender diversity analysis of publications of the database community across several peer-reviewed venues, and also compare women's authorship percentages in both single-blind and double-blind venues along the years. We also obtained a cross comparison of the obtained results in data management with other relevant areas in Computer Science.

Publisher

Association for Computing Machinery (ACM)

Subject

Information Systems,Software

Reference11 articles.

1. On six degrees of separation in DBLP-DB and more

2. The Matilda Effect in Science Communication

3. Impact of double-blind reviewing on SIGMOD publication rates

4. Dynamics of gender bias in computing

5. Luc´a Santamar´a and Helena Mihaljevi´c . Comparison and benchmark of name-to-gender inference services. PeerJ Computer Science, page 4:e156 , 2018 . Luc´a Santamar´a and Helena Mihaljevi´c. Comparison and benchmark of name-to-gender inference services. PeerJ Computer Science, page 4:e156, 2018.

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