Election science

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Election science is a field that deals with the conduct and administration of elections. It is distinct from the study of public opinion and election forecasting (which fall under political science and psephology). Election science combines the theoretical study of social choice theory (a branch of math and welfare economics) with empirical research dealing with the administration of elections (a branch of political science).

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The "butterfly ballot" used in Palm Beach County was suspected of causing Al Gore's supporters to accidentally vote for Pat Buchanan Butterfly Ballot, Florida 2000 (large).jpg
The "butterfly ballot" used in Palm Beach County was suspected of causing Al Gore's supporters to accidentally vote for Pat Buchanan

The study of election science can be traced back to early scientific studies of electoral systems and particularly the development of the field of social choice theory, including the Marquis de Condorcet's analysis of electoral systems in the 18th century. The field came into being following the 2000 United States presidential election, [1] where several administrative [2] and technical failures [3] may have affected the outcome of the election. 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] In addition, multiple universities now offer a bachelor of science in political science for a data science track. [6] [7]

The Center for Election Science supports academic research in the fields of election science and social choice theory, [8] as well as making outreach and education efforts towards the broader public. [9]

See also

Related Research Articles

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In social choice theory, a Condorcet paradox is a situation where majority rule behaves in a way that is self-contradictory. In such a situation, every possible choice is rejected by the electorate in favor of another, because there is always some other outcome that a majority of voters consider to be better.

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<span class="mw-page-title-main">Monotonicity criterion</span> Property of electoral systems

The positive response, monotonicity, or nonperversitycriterion is a principle of social choice theory that says that increasing a candidate's ranking or rating should not cause them to lose. Positive response rules out cases where a candidate loses an election as a result of receiving too much support from voters ; rules that violate positive response are called perverse.

<span class="mw-page-title-main">Political campaign</span> Attempt to influence the decision making process within a specific group

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In political science, voter turnout is the participation rate of a given election. This is typically either the percentage of registered voters, eligible voters, or all voting-age people. According to Stanford University political scientists Adam Bonica and Michael McFaul, there is a consensus among political scientists that "democracies perform better when more people vote."

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A major branch of social choice theory is devoted to the comparison of electoral systems, otherwise known as social choice functions. Viewed from the perspective of political science, electoral systems are rules for conducting elections and determining winners from the ballots cast. From the perspective of economics, mathematics, and philosophy, a social choice function is a mathematical function that determines how a society should make choices, given a collection of individual preferences.

<span class="mw-page-title-main">Comparative Study of Electoral Systems</span> Collaborative research project

The Comparative Study of Electoral Systems (CSES) is a collaborative research project among national election studies around the world. Participating countries and polities include a common module of survey questions in their national post-election studies. The resulting data are collated together along with voting, demographic, district and macro variables into one dataset allowing comparative analysis of voting behavior from a multilevel perspective.

In political science and social choice theory, the spatialmodel of voting is a mathematical model of voting behavior. It describes voters and candidates as varying along one or more axes, where each axis represents an attribute of the candidate that voters care about. 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.

References

  1. Brams, Stephan J.; Herschbach, Dudley R. (2001). "The Science of Elections". Science. 292 (5521): 1449. doi:10.1126/science.292.5521.1449. PMID   11379606. S2CID   28262658.
  2. Stuart, Guy (2004). "Databases, Felons, and Voting: Bias and Partisanship of the Florida Felons List in the 2000 Elections". Political Science Quarterly. 119 (3): 453–475. doi:10.2307/20202391. JSTOR   20202391 . Retrieved 2023-02-10.
  3. Wand, Jonathan N. (December 1, 2001). "The Butterfly Did It: The Aberrant Vote for Buchanan in Palm Beach County, Florida". American Political Science Review. 95 (4): 793–810. doi:10.1017/S000305540040002X. JSTOR   3117714. S2CID   12182778. Archived from the original on November 24, 2016. Retrieved 2023-02-10.
  4. "Election Science, Reform, and Administration Conference". esra-conference.org. Retrieved 2023-02-10.
  5. "2023 Election Science Conference-within-a-Conference". Joseph A. Coll. Retrieved 2023-02-10.
  6. "BS in Data Sciences in Political Science". American University. Retrieved 2023-02-10.
  7. "Data Science Track | Political Science". politicalscience.stanford.edu. Retrieved 2023-02-10.
  8. Raleigh, Chris (2024-04-08). "Ranked Choice in NYC: A Look at the Voter Experience with Professor Lindsey Cormack".
  9. "About Us".