Some easy tests on whether a paper is related to computer science
The CEUR-WS Team has decided to insist that submissions need to be from the computer-science domain in order to be published with CEUR-WS:
So, here are some easy tests for workshop organizers to see whether their event is likely producing a proceedings volume that is falling into the computer science category:
Q1: Are the authors of your papers affiliated to a computer science (CS) or information systems (IS) department?
Not every author have to come from a CS or IS department. But it should be the case for for overwhelming majority of papers, say 80%
Q2: Did your authors and reviewers previously publish in CS or IS outlets?
For CS, you can check whether they published in ACM or IEEE conference proceedings or journals or in well known CS series like Springer LNCS. For the IS field you can check whether they published in the journals listed in https://en.wikipedia.org/wiki/List_of_information_systems_journals. Another method is to check the so-called DBLP footprint of the authors/reviewers. Count the number of publications of the authors / reviewers in DBLP. Exclude papers that were published in CEUR-WS to avoid distortions. If the numbers are very low (less that 5 for authors, less than 15 for reviewers), then your event is probably not well-aligned with CS/IS.
Q3: Does the Call for Papers refer to typical CS/IS problems, i.e. related to the creation or evaluation of computing solutions (software, data models, process models, algorithms, …)?
If not, then you probably attract papers from non-CS/IS authors. Popular topics e.g. from nano-technology are not likely to attract papers from CS/IS authors. It may be that your event is about the crossing of CS/IS and another field, e.g. computational solutions for nano-technology problems. But then, the focus shall be on the computational aspects, not on nano-technology, physics, engineering, biology, medicine etc.
Quo vadis CEUR-WS.org? 