Armed Conflict Location & Event Data Project (ACLED)
Katayoun Kishi is an experienced data science professional currently serving as the Head of Data Science and previously as Senior Data Manager at the Armed Conflict Location & Event Data Project (ACLED) since April 2019. Prior roles include Research Associate at Pew Research Center, where responsibilities encompassed leading research on global religious restrictions, enhancing data collection methods, and publishing analytical reports. Additionally, Katayoun worked as a Research Assistant at the United States Institute of Peace, contributing to The Iran Primer blog and improving data accuracy, and conducted research at the University of Maryland, focusing on survey data analysis and questionnaire development. Educational qualifications include a Ph.D. and M.A. in Government and Politics from the University of Maryland, along with a B.S. in International Affairs from Georgia Institute of Technology.
This person is not in any teams
This person is not in any offices
Armed Conflict Location & Event Data Project (ACLED)
1 followers
The Armed Conflict Location & Event Data Project (ACLED) is a disaggregated data collection, analysis, and crisis mapping project. ACLED is the highest quality and most widely used real-time data source on political violence and protest around the world. Practitioners, researchers, and governments depend on ACLED for the latest reliable information on current conflict and disorder patterns. ACLED’s aim is to capture the forms, actors, dates, and locations of political violence and protest as it occurs across states. The ACLED team conducts analysis to describe, explore, and test conflict scenarios, and makes both data and analysis open to use by the public. To read our analysis and download ACLED data, visit: www.acleddata.com. Please contact admin@acleddata.com with comments or queries regarding the ACLED dataset. To receive regular updates from ACLED with the latest data and analysis as it becomes available, subscribe to our mailing list at: www.acleddata.com/subscribe