20170208 08183100 1.0 TRUE The Armed Conflict Location & Event Data Project (ACLED) is a publicly available conflict event dataset designed for disaggregated conflict analysis and crisis mapping. The dataset contains information on the dates and locations of all reported political violence events in over 50 developing countries, with a focus on Africa. The data is drawn from news reports, publications by civil society and human rights organisations, and security updates from international organisations. An estimated 1.5billion people worldwide live in conflict-affected countries where repeated cycles of political and organised violence hinder development, reduce human security, and result in massive humanitarian suffering (World Bank, 2011). A core challenge in understanding and analysing the sudden onsets or spikes in political violence, or particular conflict actors, is situating these phenomena in the longer history and wider context of conflict in a given country or sub-national region over time. The ACLED dataset can be used to inform evidence-based analysis and illustration of political conflict by journalists and conflict researchers. Almost all conflict-affected contexts are complex, volatile and affected by limited information and competing reports of activity. In seeking to understand, explain and analyse these complex scenarios, ACLED can help journalists and researchers:  Understand the levels of conflict in Africa, a region, a country, or sub-national location.  Identify patterns and levels of conflict over time.  Illustrate dynamics of particular conflict actors over time and space, for example, whether they increasingly or decreasingly target civilians; are active outside their historical strongholds, etc. This short guide provides an introduction to the structure of the dataset, key terminology used, potential uses by humanitarian and development practitioners, and answers to frequently asked questions. Supporting documentation, including the project Codebook (detailing the data collection and recording process), a general user guide, and working papers which explore sources data library crime time conflict The Armed Conflict Location & Event Data Project (ACLED) is a publicly available conflict event dataset designed for disaggregated conflict analysis and crisis mapping. /9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a HBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIy MjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCACFAMgDASIA AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3 ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA AwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSEx BhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElK U1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3 uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD3+iii gAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKA CiisDxB4w0vw8Xt5XafUfs7Tw2UQJklCg9OMDoevocZxQ3YaTbsiPS/G2k6jBfzzO+nRWd0bV5L/ AGwqzD0JP6Hn2roY5Y5ollidXjcZVlOQR6g185+NLLx/4wtNJ1W+0abZJA3lxWULN5eWJyy8spIK /UKPfHa/BabWLJNV8PastxGbJleKGWHHlhskjdnuecH6jvWUaj5uVo6alCKp88X8j1miiitTlCii igAooooAKKKKACiiigAooooAKKKKACiiuG8ffEyx8DS21q1m99fTp5ghWQIFTONxbB6kHHHY0m0l dlRi5O0TuaKwvCPiqy8Y6Cmq2KvGu8xyxPjdG4xlTj2IP0Iopp3E007M3aKKKBBRRRQB5D8YvG+s aHcafp2jXRt45txnniILbgR8mf4SAQT35H4+XWEup6xfX+q3p1S51O7jFvZvbgxmeRiqFdwUj/V7 s4xwCM816t4F0jRb7VvEdq6wa9FdahK91K8ShLd1J2naxyd298Mox8pweuPRbqPSdJs7JXsYkgin SO2jhtdwidjtBUKPl+8eeOvvWPI5Pmudqqwpw9mo3fczNAtYbu4stXsLowRw2n2C6sFkMqK6Ywu4 ngodwyB82c5rdvdPtdQ+z/aovM+zzLcRfMRtkXoeDz16HirIUKMKABnPFZ9vrul3WtXOjwXkb6hb IJJoBnKqcc56HqOnTIrXRHJq9UVfEXh3/hIP7P8A+JleWX2O5W4/0Z9vmY7H/GjRrzX7jWNXh1XT YLWwhlC2E0cm5p05ySMn2PbrjnGakuzrdnpGpzW/kahfBneyh2eUoX+FGOeSOecjPtVrSJr+40i0 m1S2S2vnjBnhjbcqN3AP/wBc/U0dR/ZLtFFFMgKKKKACiiigAooooAKKKKACiiigArhvH3wzsfHM ttdNePY30CeWJljDhkznaVyOhJxz3NdzRSaTVmVGTi7xMLwj4VsvB2gppVizyLvMksr43SOcZY49 gB9AKK3aKaVhNtu7CiiigQVXub61tLWe6uLiKKC3BMsjMAEAGTn04qn4klng8LavLbSPHOllM0bx jLKwQkEe+a+RdKvLmC6mtE1j+z4r1Gju5ZAxR1AJ+faGLZ+hOT71E58rsb0aHtE3fY9U+F/jKfUP H9wkOn6PZx6nI73Rj8xWcqGI2bmIzk5wAM5J44x6vF4x063v7TSNZubay1uf/l0R2kVSSdo37QAS MHBx1rx/wL8Nbs+LLbUJtSsTY6dfgB7efJllTDhAuAQemQcHGetR+OdQsJviw8mm2y32pC8t4kiL lInkUbWEhJHIZUUYwvqeCDlGUlHXudNSnSnUsnpb+tz6HrmteN3pGoWt/ofhyC+vL2dIL2dSqOsQ 7k9Tj1PAwPauWtrvVtQ8ZeJNU0my1mOaPTjFareZW1eVTt+VWA5ypx/wLOM4rS+GF54tvNPvz4oi uFCyL9ma5h8uQ9d+RgcfdwcdzWvNd2OX2TjFyutLaep3lFFFWYhRRRQAUUUUAFFFFABRRRQAUUUU AFFFFABRRRQAUUUUAFFFFAFLVtRGk6VcX7QSTpAu9kjKg7c8nLEAADJJJ6A15R4u0j4eJo13rOmJ As1tLAXktHkCEOxPy7flLEbsdgVAOOldH4l8Na54o8b6TKl+r+Elh33EKSDbI3zAggff3BgM9AN3 Q9dFG8P6RpMnh3w//ZkMwuFhjtrwO0TysBJgk5LErznJ5wKiSvubQfJZp6+Qyw8FeF5LO91W4t5p odVRbqb+0JSTECh5yeVOHbJySM9aw9V0XU9d1FbzwfqvhyXSJGhWaF4Y5SzoQ2WIVizABTyQcenW ta40zxnr2oyxX9xZ6fpUN6R5MS+Z9ttTwVfk9uO33icDArQHw88Owz6RLaWj2Y0uZpoEgcqGY4yX zkt90c5zxjpxStfZFc1neTu/vOgsbC0022+zWVukEO9n2IMDLEsT+ZNWaKK0OcKKKKACiiigAooo oAKKKKACiiigAooooAKKKKACisbxB4nsPDX2H7cs5+23C28Xkx7sMfX/ADn0BrZouNppXCiiigQV j+I9StbLRb7zbt4GEWGeCMSvCrHaJCnPyjqSeMA1sV5x4u8CW2q+NNJ1izL+ddS+VfKZcRyQqmDk BlboAMLkdM+6d7aFwSb1LN5bL/ZFxoHhLVbSa7u44WaGecCOC1ZNrPEiAYDAZO3u+cjIrnNM0WDw Zpul6vNDHqfiC3D2un2enXTSRyIzMS7ZGRjdISQAo9M81qeMdJudMntrfTNSubZ7/wAuwt3eOEQ2 tuAEaLzH+bcwYsADltnqM1zC/Ba+uNdhuFRbTShKiyQS3m+YxhiGIZVwCygNj/a7YrOV76I6IOPL rKyf4nq2j+IJNUvI/wDRitld2qXVnMqucrgb1kJUBWBPAycgE8cVvVm6DoVj4b0aDStOR0tYd20O xY5JLEkn3JrSrReZyytfQKKKKYgooooAKKKKACiiigAooooAKKKKACiiigAooooAQqGxkA4ORmlo ooAKKKKACsDUtA0a20BoU0JbqG1hlWG2t0AkCyAh1Q5BG7Jzgit+iiw02jntS8H6brN5DNfRmS2S ye0+yOARhip3buoYbeoPvn109P03+z5Jdl3cywFI44oJXDLCEXb8pxuJPUkk81JbX8F1dXdvF5nm WrhJd0bKMlQwwSMNwR0q1Sshtu1mFFFFMkKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiig AooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAC iiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooA// 2Q==