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  2. Electoral geography - Wikipedia

    en.wikipedia.org/wiki/Electoral_geography

    Electoral geography is the analysis of the methods, the behavior, and the results of elections in the context of geographic space and using geographical techniques. . Specifically, it is an examination of the dual interaction in which geographical affect the political decisions, and the geographical structure of the election system affects electora

  3. Psephology - Wikipedia

    en.wikipedia.org/wiki/Psephology

    Degrees in psephology are not offered (instead, a psephologist might have a degree in political science and/or statistics). Knowledge of demographics, statistical analysis and politics (especially electoral systems and voting behaviour) are prerequisites for becoming a psephologist.

  4. Calculus of voting - Wikipedia

    en.wikipedia.org/wiki/Calculus_of_voting

    A calculus of voting represents a hypothesized decision-making process. These models are used in political science in an attempt to capture the relative importance of various factors influencing an elector to vote (or not vote) in a particular way.

  5. Electoral Calculus - Wikipedia

    en.wikipedia.org/wiki/Electoral_Calculus

    Electoral Calculus was founded and is run by Martin Baxter, [1] who was a financial analyst specialising in mathematical modelling. [2] The Electoral Calculus website includes election data, predictions and analysis. It has separate sections for elections in Scotland and in Northern Ireland. [3]

  6. Election science - Wikipedia

    en.wikipedia.org/wiki/Election_science

    Examples of subjects where election science methods are applied include gerrymandering, electoral fraud, suffrage, and voter registration. There is an academic conference [4] dedicated to the study of election science and the Southern Political Science Association has a sub-conference for the study of election science. [5]

  7. Spatial voting - Wikipedia

    en.wikipedia.org/wiki/Spatial_voting

    [1]: 14 Voters are modeled as having an ideal point in this space and preferring candidates closer to this point over those who are further away; these kinds of preferences are called single-peaked. The most common example of a spatial model is a political spectrum or compass , such as the traditional left-right axis, [ 2 ] but issue spaces can ...

  8. Leading tech firms pledge to address election risks posed by AI

    www.aol.com/leading-tech-firms-pledge-address...

    With more than half of the world’s population poised to vote in elections around the world this year, tech leaders, lawmakers and civil society groups are increasingly concerned that artificial ...

  9. Political forecasting - Wikipedia

    en.wikipedia.org/wiki/Political_forecasting

    Various implementations of political science forecasting tools have become increasingly common in political science, and numerous other Bayesian models exist with their components increasingly detailed in scientific literature. [14] Ranked voting requires polling ranked preferences to predict winners.