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Research draft

computer science

vr.tr.computer-science · INF.KNW

Let an agent handle computer science as a discipline with fields, methods and ethics, and separate established results from hype.

Thing Registry Information and virtual systems

Research draft, second pass

A second pass drafted this model: the structure a model of this thing needs, and what is known about it in the world. The line under this one says how the second half was obtained - researched against sources, or recalled without web access, in which case nothing here was read anywhere and every claim is a lead to verify. Unreviewed either way.

written by Claude from model knowledge without web access - no source was read, every claim is a lead to verify

Researched by: Claude

Purpose and description

Let an agent handle computer science as a discipline with fields, methods and ethics, and separate established results from hype.

The study of computation, information and automation, including algorithms, programming languages, systems, data, artificial intelligence and theory.

What it is for: Understanding and building computational systems.

It can be study and teach it; design algorithms and systems; research AI and data; assess societal impacts.

Distinguishing features

Formal and engineering discipline

Theory and practice

Rapidly changing

Ethical and security dimensions

What it looks like

Code, algorithms, systems and papers.

How it is recognised

Fields such as theory, systems, AI

ACM classifications

Applied areas such as music informatics

Related models

is a kind of - discipline

formal science

produces - artefacts

computer program

uses - foundations

mathematics

studies - subjects

data and computation

In practice

Families and kinds

theoretical computer science

systems and networks

artificial intelligence and machine learning

data management and data science

human-computer interaction

applied informatics

Identifiers

ACM CCS code classification ACM Computing Classification System

Standards and regulation

EU AI Act

Data protection law

Computing ethics codes such as the ACM Code of Ethics

Failure modes and hazards

Hype presented as fact

Security vulnerabilities

Biased systems

Also called

virtual influencerdistributed social networkdata management and data sciencemusic informaticscomputational sustainabilitytheoretical computer sciencehuman–computer interactiongenome informaticsvideo game sciencevolunteer computingsecurity engineeringforensic software engineeringpersonalizationhuman-machine relationshipbaby duck syndromeUsable securityhuman–computer matchRelational Co-Authorship (RCA) MethodHuman-AI Relationality (HAIR)digital stress thresholdcognitive frictionhuman-AI interactionhuman–computer interaction in securitygender HCI3D interaction3D user interactionfeminist HCImobile interactionnon-speech audio inputmultimodal interactionusable privacy and securityMāori computing technology use and designsplit-and-stitch video encodingdistributed computingmechatronicscybersecurity engineeringPrivacy engineeringfallback levelmodel-driven engineeringsoftware engineering

+93

Where this came from

wikidata · CC0 1.0

Source repository Registry entry point

Drafted structure

Bundle to layer to finding to question, as the second pass will find it: 4 bundles · 8 layers · 8 findings · 16 questions.

Field Which area.

Field locates the question.

Area

Sub-discipline.

Area

Field.

  1. Which area of computer science applies? definition
  2. Which ACM class? provenance

Methods

Theory and experiment.

Methods

Methods.

  1. Which methods are used? definition
  2. How are results validated? provenance
Results What is known.

Results vary in maturity.

Established

Proven results.

Established

Established knowledge.

  1. Is this an established result or a claim? boundary
  2. Which sources support it? provenance

Open problems

Unsolved.

Open problems

Open problems.

  1. Which related problems are open? boundary
  2. What progress has been made? provenance
Practice Building systems.

Practice has standards.

Engineering

Software and systems.

Engineering

Engineering practice.

  1. Which engineering practices apply? provenance
  2. How is quality assured? action

Security

Safety.

Security

Security.

  1. What security risks arise? boundary
  2. How are they mitigated? action
Ethics Impacts.

Computing affects society.

Impact

Society.

Impact

Societal impact.

  1. What societal impacts does this have? boundary
  2. Who is affected? boundary

Regulation

Law.

Regulation

Applicable law.

  1. Which laws apply, such as the AI Act? provenance
  2. What obligations follow? boundary

What the second pass must settle

  • Should fields be separate entries?
  • How should agents present AI capabilities honestly?
  • The registry entry has merged aliases such as virtual influencer; should they be split off?
Draft as JSON