Evidence map›Paper›PMID 36313791›Full record

ArticleDigital society : ethics, socio-legal and governance of digital technology2022

Students, Participatory Design, and Serious Games in a Response to: 'No Algorithmization without Representation: Pilot Study on Regulatory Experiments in an Exploratory Sandbox'.

Brian Ballsun-Stanton

Open access · hybridAbstract readEditorial
In one paragraph

Article in Digital society : ethics, socio-legal and governance of digital technology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.3field-weighted citation impact, top 36% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author at 1 institution in 1 country.

Brian Ballsun-StantonMacquarie University, Sydney, Australia.ORCID 0000-0003-4932-7912
Macquarie University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

No Algorithmization without Representation tracked a cohort of 'Lithopy' crypto-government sandbox participants in a longitudinal study looking at COVID-19 contact tracing app acceptance. These survey responses extended experiences with theoretical blockchain town governance by also tracking reasons for and against compliance with contact tracing apps. They found that the expressed opinions of students were incoherent and demanded technical or policy responses outside of the students' direct experiences. In this response to that paper, I leverage the paper's (commendable) open data to suggest that the sandbox's claims of 'No Algorithmization without Representation' is a rediscovery of participatory design within the context of the serious games movement. While Role-Playing Games and War Games are excellent pedagogic tools xor planning tools-using undergraduate students' participation in them as the basis of a claim for increased representation in technology policy is a bold claim. This claim is not fully substantiated by the paper's data. Nevertheless, there is a need for better decision-making and public representation within technology design and policy-making spaces-making the claim for serious games as a meaningful public policy contribution not without merit.

Indexed as

BlockchainCOVID-19 contact tracing appsOpen DataPhilosophySerious Games

Identifiers

PMID36313791
PMCPMC9593969
OpenAlexW4307201153

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.