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arxiv: 2605.26084 · v1 · pith:YN4JBGXNnew · submitted 2026-05-25 · 💻 cs.CY

What is 'undone computer science'?

Pith reviewed 2026-06-29 19:21 UTC · model grok-4.3

classification 💻 cs.CY
keywords undone sciencecomputer scienceepistemologyethicsscience and technology studiesresearch paradigmsneglected questionsdisciplinary structure
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The pith

The structure of computer science and its paradigms enable the identification of crucial epistemological and ethical questions that remain undone.

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

This paper applies the concept of 'undone science'—research questions neglected despite deserving exploration—to computer science. It examines whether the discipline's sociological, economic, and political structures, along with its shaping paradigms, allow for spotting important epistemological and ethical questions. A reader would care because addressing these could influence how computer science develops and is conceived. The work positions this as a way to highlight areas left unfunded or ignored.

Core claim

By transferring the undone science framework to computer science, the paper establishes that the field's organization and paradigms make it possible to identify epistemological and ethical questions crucial for its development and conception, questions that are currently neglected.

What carries the argument

The 'undone science' concept, which refers to research questions neglected, ignored, or left unfunded even though they deserve exploration, applied as a lens to computer science.

If this is right

  • The paradigms in computer science shape which questions get explored and which do not.
  • Sociological, economic, and political dimensions influence the identification of undone questions in the field.
  • Exploring these undone questions is crucial for the ethical and epistemological development of computer science.
  • This enables a special issue to examine specific instances of such questions.

Where Pith is reading between the lines

These are editorial extensions of the paper, not claims the author makes directly.

  • Funding bodies could use this lens to redirect resources toward previously ignored areas in computing.
  • It suggests examining how specific paradigms like efficiency or scalability marginalize certain ethical concerns.
  • Case studies in the special issue could test the transfer by surfacing concrete examples.
  • Connections might emerge to similar undone research in adjacent technical fields.

Load-bearing premise

That the undone science framework from social sciences transfers directly to computer science to reliably identify questions deserving exploration.

What would settle it

Finding that no new crucial epistemological or ethical questions are identified when the undone science lens is applied to computer science beyond existing discussions.

read the original abstract

The concept of 'undone science' emerged in the 2010s in research in social sciences at the intersection of studies on social movements and of science and technology studies. It refers to research questions that are neglected, ignored, or left unfunded, even though they deserve to be explored. The aim of this special issue is to apply this concept to computer science, by examining whether the way this discipline is structured (including its sociological, economic, and political dimensions), as well as the paradigms that shape it, make it possible to identify epistemological and ethical questions that are crucial for its development and conception.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Referee Report

0 major / 1 minor

Summary. The manuscript is an editorial introducing the 'undone science' concept from social sciences and STS, which denotes neglected but deserving research questions. It frames a special issue by proposing that computer science's sociological, economic, political structures and paradigms can surface important epistemological and ethical questions for the field's development and conception.

Significance. As an editorial, the piece sets a programmatic agenda for critical inquiry into neglected areas of computer science. Its value lies in opening space for the special issue contributions rather than in presenting tested results; the transfer of the undone-science framework is asserted as feasible but receives no validation, case studies, or derivations within the text itself.

minor comments (1)
  1. [Abstract] The abstract and framing could more clearly distinguish the editorial's role (setting the special-issue premise) from any empirical claim about the framework's direct applicability.

Simulated Author's Rebuttal

0 responses · 0 unresolved

We thank the referee for their positive review of the manuscript and their recommendation to accept it as an editorial introducing the special issue.

Circularity Check

0 steps flagged

No significant circularity; framing premise independent of inputs

full rationale

The paper is an editorial that imports the 'undone science' concept from external social-science literature and states its programmatic aim without any derivation, equations, fitted parameters, predictions, or self-citation chains. The central claim—that structural examination of computer science can surface epistemological and ethical questions—is presented as a premise for the special issue rather than a result obtained by reducing prior steps to the paper's own inputs. No load-bearing step matches any of the enumerated circularity patterns.

Axiom & Free-Parameter Ledger

0 free parameters · 1 axioms · 0 invented entities

The paper is conceptual and rests on the prior definition of undone science; no free parameters, new entities, or mathematical axioms are introduced.

axioms (1)
  • domain assumption The undone science concept developed in social sciences can be transferred to computer science to identify neglected questions.
    Invoked in the abstract as the basis for examining CS structures and paradigms.

pith-pipeline@v0.9.1-grok · 5625 in / 1158 out tokens · 38663 ms · 2026-06-29T19:21:01.025168+00:00 · methodology

discussion (0)

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Reference graph

Works this paper leans on

16 extracted references · 11 canonical work pages

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