An Ecosystem of Applications for Modeling Political Violence

Aline Bessa; Sonia Castelo; Rémi Rampin; Aécio Santos; Mike Shoemate; Vito D'Orazio; Juliana Freire

doi:10.1145/3448016.3457235

An Ecosystem of Applications for Modeling Political Violence

Aline Bessa, Sonia Castelo, Rémi Rampin, Aécio Santos, Mike Shoemate, Vito D'Orazio, Juliana Freire

Urban Initiative

Research output: Contribution to journal › Conference article › peer-review

Abstract

Conflict researchers face many challenges, including (1) how to model conflicts, (2) how to measure them, (3) how to manage their spatio-temporal character, and (4) how to handle a potential abundance of information and explanation. In this paper, we describe an ecosystem of tools designed for use by subject matter experts that addresses these challenges. Three case studies show workflows that are facilitated by this ecosystem.

Original language	English (US)
Pages (from-to)	2384-2388
Number of pages	5
Journal	Proceedings of the ACM SIGMOD International Conference on Management of Data
DOIs	https://doi.org/10.1145/3448016.3457235
State	Published - 2021
Event	2021 International Conference on Management of Data, SIGMOD 2021 - Virtual, Online, China Duration: Jun 20 2021 → Jun 25 2021

Keywords

applied machine learning
conflict modeling
political violence

ASJC Scopus subject areas

Software
Information Systems

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10.1145/3448016.3457235

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title = "An Ecosystem of Applications for Modeling Political Violence",

abstract = "Conflict researchers face many challenges, including (1) how to model conflicts, (2) how to measure them, (3) how to manage their spatio-temporal character, and (4) how to handle a potential abundance of information and explanation. In this paper, we describe an ecosystem of tools designed for use by subject matter experts that addresses these challenges. Three case studies show workflows that are facilitated by this ecosystem.",

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T1 - An Ecosystem of Applications for Modeling Political Violence

AU - Bessa, Aline

AU - Castelo, Sonia

AU - Rampin, Rémi

AU - Santos, Aécio

AU - Shoemate, Mike

AU - D'Orazio, Vito

AU - Freire, Juliana

PY - 2021

Y1 - 2021

N2 - Conflict researchers face many challenges, including (1) how to model conflicts, (2) how to measure them, (3) how to manage their spatio-temporal character, and (4) how to handle a potential abundance of information and explanation. In this paper, we describe an ecosystem of tools designed for use by subject matter experts that addresses these challenges. Three case studies show workflows that are facilitated by this ecosystem.

AB - Conflict researchers face many challenges, including (1) how to model conflicts, (2) how to measure them, (3) how to manage their spatio-temporal character, and (4) how to handle a potential abundance of information and explanation. In this paper, we describe an ecosystem of tools designed for use by subject matter experts that addresses these challenges. Three case studies show workflows that are facilitated by this ecosystem.

KW - applied machine learning

KW - conflict modeling

KW - political violence

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U2 - 10.1145/3448016.3457235

DO - 10.1145/3448016.3457235

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EP - 2388

JO - Proceedings of the ACM SIGMOD International Conference on Management of Data

JF - Proceedings of the ACM SIGMOD International Conference on Management of Data

T2 - 2021 International Conference on Management of Data, SIGMOD 2021

Y2 - 20 June 2021 through 25 June 2021

ER -

An Ecosystem of Applications for Modeling Political Violence

Abstract

Keywords

ASJC Scopus subject areas

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