Atrocity Prevention - Datasets

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Description

What if mass atrocities could be predicted and prevented? Our belief is that with a better, data-based understanding of why atrocities occur, lives can be saved. It’s because of this that we wanted to make our datasets around this problem easily accessible and usable to our community beyond any individual competition.

Dataset Links

[DS ANALYTICS - DATASETS PAGE] - {Atrocity Prevention} - Geographical Data

Geographical Data

The geographical data from the Atrocity Prevention Dataset divides the Earth into 254 countries. Each country is further subdivided into one or more regions (overall, there are 3671 regions).

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[DS ANALYTICS - DATASETS PAGE] - {Atrocity Prevention} - Sociopolitical Activities Data

Sociopolitical Activities Data

Data about various sociopolitical activities around the world, including participants, locations, action types, importance, and media coverage.

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[DS ANALYTICS - DATASETS PAGE] - {Atrocity Prevention} - Same-Period Atrocities Data

Same-Period Atrocities Data

Data on atrocities known to have occured during the same time period at a given location.

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History of Our Work

[DS ANALYTICS - DATASETS PAGE] - {Atrocity Prevention} - Data Discovery Challenge

USAID - Humanity United - Atrocity Prediction - Data Discovery Challenge

In this competition, participants were asked o find and describe a data set that has the potential to contain statistical indicators for the occurrence of an atrocity. Data can measure any social, economic, or physical value.

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[DS ANALYTICS - DATASETS PAGE] - {Atrocity Prevention} - Mass Atrocity Predictor

Mass Atrocity Predictor

Given data about various sociopolitical activities around the world and information about past atrocities, develop an algorithm to predict where and when atrocities will happen in the near future (within the next 30 days).

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Blogs and Discussions

[DS ANALYTICS - DATASETS PAGE] - {Atrocity Prevention} - Topcoder Customer Stories

Topcoder Customer Stories- Social Predictive Analytics

Subjective analysis models had given an NGO a start towards their goal of better understanding and predicting mass atrocities, but they wanted an automated algorithmic solution that improves the accuracy of predictions.

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[DS ANALYTICS - DATASETS PAGE] - {Atrocity Prevention} - Humanity United - A More Detailed Look at the Model Challenge for Atrocity Prevention

Humanity United - A More Detailed Look at the Model Challenge for Atrocity Prevention

Given the increasing availability of precise and dynamic international data, USAID and Humanity United hoped to leverage the creative potential of coders to predict local-level mass violence.

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[DS ANALYTICS - DATASETS PAGE] - {Atrocity Prevention} - Information Week - USAID

Information Week - USAID Spurs Algorithm Designs To Predict Atrocities

The final round of the Tech Challenge for Atrocity Prevention included five winners that came up with models that could predict mass violence.

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