Collaborative Research on Updating the Militarized Interstate Dispute Data

更新军事化州际争端数据的合作研究

基本信息

  • 批准号:
    0002568
  • 负责人:
  • 金额:
    $ 6.23万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2000
  • 资助国家:
    美国
  • 起止时间:
    2000-09-01 至 2002-08-31
  • 项目状态:
    已结题

项目摘要

This award updates the Correlates of War Project Militarized Interstate Dispute (MID) data set through 2001. Such an effort is critical for international conflict research, but the enterprise of updating this collection is a monumental one that is beyond the scope or resources of any single researcher. Consequently this is a collaborative effort, linking scholars at eleven different universities to complete the task in a systematic and timely fashion. The MID data set has been at the forefront on international conflict research over the past decade or more. This data set is the most frequently used in conflict research and MID data has been employed to explore a staggering breadth of topics in international relations research, including most of those central to contemporary scholarly debates. Furthermore, MID data are the basis for several other data projects in the discipline as well as highly compatible with a range of other data compilations, thereby facilitating the combination of data sets and the exploration of broader sets of theoretical questions.Updating the Militarized Interstate Dispute data set requires completion of the following major steps: 1) collect and document militarized incidents from a variety of sources. This entails searching global, regional, and national sources for indications of a threat, display, or use of force by one state against another; 2) checking, archiving, and documenting the incidents collected to insure consistency, completeness, and absence of duplication; 3) composing militarized disputes based on the collected incidents and additional research as necessary. Because disputes are conflict episodes, such things as starting and ending dates, secondary participants, stages of escalation, overall fatalities, method of settlement, and general outcome must be determined. A short narrative description of each dispute is also prepared; 4) checking, archiving, and documenting disputes in order to insure such things as conformity with coding rules, compatibility with documentation standards, internal consistency, and absence of duplication; 5) resolving issues that arise concerning coding procedures, documentation requirements, problem cases, and the like; and, 6) preparing a final version (3.0) of the data set for distribution via the world wide web. This requires the resolution of a few problems that have been found in the present version (2.1) before it can be merged with the 1993-2001 data.This is a major infrastructure project for the Political Science program and enables the updating of a data set that will be used by numerous scholars in international relations and comparative politics.
这项裁决更新了截至2001年的战争项目军事化州际争端(MID)数据集。这样的努力对国际冲突研究至关重要,但更新这一集合的努力是一项巨大的事业,超出了任何一名研究人员的范围或资源。因此,这是一项合作努力,将11所不同大学的学者联系起来,以系统和及时的方式完成任务。在过去十年或更长的时间里,中间数据集一直处于国际冲突研究的前沿。这个数据集是冲突研究中使用最频繁的,中间数据被用来探索国际关系研究中令人震惊的广泛主题,包括大多数对当代学术辩论至关重要的主题。此外,MID数据是该学科中其他几个数据项目的基础,并且与其他一系列数据汇编高度兼容,从而促进了数据集的组合和对更广泛的理论问题集的探索。更新军事化的州际争端数据集需要完成以下主要步骤:1)从各种来源收集和记录军事化事件。这需要搜索全球、地区和国家来源,以寻找一个国家对另一个国家威胁、展示或使用武力的迹象;2)检查、存档和记录收集的事件,以确保一致性、完整性和不重复;3)根据收集的事件组成军事化的争端,并根据需要进行额外的研究。由于争端是冲突事件,必须确定开始和结束日期、次要参与方、升级阶段、总死亡人数、解决方法和一般结果。还编写了每个争议的简短叙述性说明;4)检查、存档和记录争议,以确保符合编码规则、与文件标准兼容、内部一致性和没有重复;5)解决与编码程序、文件要求、问题案例等有关的问题;以及6)准备数据集的最后版本(3.0),以便通过万维网分发。这需要解决目前版本(2.1)中发现的几个问题,然后才能将其与1993-2001年的数据合并。这是政治学计划的一个主要基础设施项目,并使更新将被许多学者用于国际关系和比较政治的数据集成为可能。

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

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Glenn Palmer其他文献

Updating the Militarized Interstate Dispute Data: A Response to Gibler, Miller, and Little
更新军事化州际争端数据:对吉布勒、米勒和利特尔的回应
  • DOI:
    10.1093/isq/sqz045
  • 发表时间:
    2020
  • 期刊:
  • 影响因子:
    2.6
  • 作者:
    Glenn Palmer;Vito D'Orazio;Michael R. Kenwick;Roseanne W. McManus
  • 通讯作者:
    Roseanne W. McManus
The MID4 dataset, 2002–2010: Procedures, coding rules and description
MID4 数据集,2002-2010:程序、编码规则和描述
  • DOI:
    10.1177/0738894214559680
  • 发表时间:
    2015
  • 期刊:
  • 影响因子:
    2.1
  • 作者:
    Glenn Palmer;Vito D'Orazio;Michael R. Kenwick;M. Lane
  • 通讯作者:
    M. Lane
To Protect and to Serve
保护和服务
  • DOI:
    10.1177/0022002702251028
  • 发表时间:
    2003
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Trefor Owen Morgan;Glenn Palmer
  • 通讯作者:
    Glenn Palmer
Downwelling spectral irradiance during evening twilight as a function of the lunar phase.
黄昏期间下降的光谱辐照度作为月相的函数。
  • DOI:
    10.1364/ao.54.000b85
  • 发表时间:
    2015
  • 期刊:
  • 影响因子:
    1.9
  • 作者:
    Glenn Palmer;S. Johnsen
  • 通讯作者:
    S. Johnsen
Defense allocations in Eastern Europe: Alliance politics and leadership change∗
东欧的国防分配:联盟政治和领导层变化*
  • DOI:
    10.1080/03050629008434742
  • 发表时间:
    1990
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Glenn Palmer;W. Reisinger
  • 通讯作者:
    W. Reisinger

Glenn Palmer的其他文献

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{{ truncateString('Glenn Palmer', 18)}}的其他基金

Collaborative Research: Updating the Militarized Dispute Data Through Crowdsourcing: MID5
协作研究:通过众包更新军事化争端数据:MID5
  • 批准号:
    1528409
  • 财政年份:
    2015
  • 资助金额:
    $ 6.23万
  • 项目类别:
    Continuing Grant
MID4: UPDATING THE MILITARIZED DISPUTE DATA SET, 2002-2010
MID4:更新军事化争端数据集,2002-2010
  • 批准号:
    0924240
  • 财政年份:
    2009
  • 资助金额:
    $ 6.23万
  • 项目类别:
    Standard Grant
Doctoral Dissertation Research in Political Science: In It to Win It? Domestic Politics and Signaling Long Term Resolve in International Crises
政治学博士论文研究:赢得胜利?
  • 批准号:
    0719769
  • 财政年份:
    2007
  • 资助金额:
    $ 6.23万
  • 项目类别:
    Standard Grant
Improving the Efficiency of Militarized Interstate Dispute Data Collection using Automated Textual Analysis
使用自动文本分析提高军事化州际争端数据收集的效率
  • 批准号:
    0719634
  • 财政年份:
    2007
  • 资助金额:
    $ 6.23万
  • 项目类别:
    Standard Grant
Collaborative Research: Beyond the Water's Edge: Individual Preferences, Domestic Institutions, System Structure and Foreign Policy
合作研究:超越水边:个人偏好、国内制度、制度结构和外交政策
  • 批准号:
    9507909
  • 财政年份:
    1995
  • 资助金额:
    $ 6.23万
  • 项目类别:
    Standard Grant

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