Infrastructure bias

In economics and social policy, infrastructure bias is the influence of the location and availability of pre-existing infrastructure, such as roads and telecommunications facilities, on social and economic development.

In science, infrastructure bias is the influence of existing social or scientific infrastructure on scientific observations.

In astronomy and particle physics, where the availability of particular kinds of telescopes or particle accelerators acts as a constraint on the types of experiments that can be done, the data that can be retrieved is biased towards that which can be obtained by the equipment.

Procedural bias, related to infrastructure bias, is shown by a case of irregular genetic sampling of Bolivian wild potatoes.[1] A 2000 report of previous studies' sampling found that 60% of samples had been taken near towns or roads, where 22% would be the average, had the samples been taken at random[1] (or from equidistant points, or at specifically varying distances from towns, representative of the average terrain density).

References

"Assessing the geographic representativeness of genebank collections: The case of Bolivian wild potatoes" (PDF). Diva Geographic Information System.

This article is issued from Wikipedia. The text is licensed under Creative Commons - Attribution - Sharealike. Additional terms may apply for the media files.

[DivaGIS-1] "Assessing the geographic representativeness of genebank collections: The case of Bolivian wild potatoes" (PDF). Diva Geographic Information System.

Biases
Cognitive biases	Actor–observer Acquiescence Ambiguity Anchoring Attentional Attribution Authority Automation Bandwagon Belief Blind spot Choice-supportive Confirmation Compassion fade Congruence Courtesy Cultural Distinction Dunning–Kruger Egocentric Emotional Extrinsic incentives Fading affect Framing Correspondence Halo effect Hindsight Horn effect Hostile attribution Impact Implicit In-group Mere-exposure effect Negativity Normalcy Omission Optimism Out-group homogeneity Outcome Overton window Precision Present Pro-innovation Response Restraint Self-serving Social comparison Status quo Time-saving Trait ascription von Restorff effect Zero-risk In animals
Statistical biases	Estimator Forecast Healthy user Information Psychological Lead time Length time Non-response Observer Omitted-variable Participation Recall Sampling Selection Self-selection Social desirability Spectrum Survivorship Systematic error Systemic Verification Wet
Other biases	Academic Funding FUTON Inductive Infrastructure Inherent In education Media False balance Vietnam War Norway South Asia Sweden United States Arab–Israeli conflict Ukraine Net Political bias Publication Reporting White hat
Bias reduction	Cognitive bias mitigation Debiasing Heuristics in judgment and decision-making
Lists: General · Memory