Dear Colleagues, We are excited to announce the release of the International Conflict Data Lab's suite of datasets covering the 1816 to 2014 time period: https://internationalconflict.ua.edu/ Our Militarized Interstate Events (MIE) data codes approximately 30,000 directed threats, displays, and uses of force between two or more states from 1816 to 2014, using Jones, Bremer, and Singer (1996) coding rules. These data include several innovations. First, no event has missing fatalities. We were able to code whether each case has fatalities and also the approximate range of those fatalities. Rather than use the traditional fatality scale we use real estimates of the likely minimum and maximum fatalities in the event. Second, we introduce a new action called war battle for organized battles between state forces. Coding these events allows for examinations of bargaining during wars; we do not stop coding events once a fatality threshold is reached. Third, we provide meaningful ID numbers for events with missing days so researchers can examine how conflicts evolve. Fourth, we provide a Militarized Interstate Confrontation Endings (MICEndings) dataset that codes how conflicts end through agreements and other non-militarized-event methods. These data can recreate the traditional dispute-oriented data when used together with the MIE data. Finally, there are a host of other innovations in the data, and we invite data users to read about these in the extensive codebooks for the datasets. We also provide Militarized Interstate Confrontation (MIC) data for the 1816-2014 time period or those who wish to examine conflict-level cases. The Militarized Interstate Participants (MIP) data aggregates the data by participant, and the Truly Dyadic Dyad-Year (TDD) data provides dynamic, yearly data with highest actions and fatalities for each state in any particular year. Each of these datasets are internally consistent across all levels. We also provide datasets of formal war declarations and the protest-dependent conflict cases, all covering the 1816-2014 time period. There is a signup poll on the home page for those interested in future updates to the data. We have a page that compares our data with several existing datasets. We are also starting a blog that discusses research design issues using the data as well as some problems we have seen with past uses of conflict data. These datasets were collected with the help of generous support from the National Science Foundation and our universities. Of course, any errors contained in the data are our own and should be reported to us. If you have any questions about our data or future projects, please feel free to reach out. All best, Doug Gibler and Steve Miller https://internationalconflict.ua.edu/ ----------------------------------------------------------------------------- Douglas M. Gibler Professor of Political Science Institute for Social Science Research University of Alabama http://dmgibler.people.ua.edu/ Steven V. Miller Universitetlektor Institutionen för ekonomisk historia och internationella relationer Stockholms universitethttp://svmiller.com ************************************************************** Political Methodology E-Mail List Editors: Yuan (Cecilia) Sui and Gechun Lin <[log in to unmask]> ************************************************************** Send messages to [log in to unmask] To join the list, cancel your subscription, or modify your subscription settings visit: https://www.cambridge.org/core/membership/spm/mailing-list **************************************************************