TY - JOUR
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
N1 - Funding Information:
Acknowledgments. This work was partially supported by the DARPA D3M program award FA8750-17-2-0114, and NSF award OAC-1640864. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of NSF and DARPA.
Publisher Copyright:
© 2021 ACM.
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
UR - http://www.scopus.com/inward/record.url?scp=85108978435&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85108978435&partnerID=8YFLogxK
U2 - 10.1145/3448016.3457235
DO - 10.1145/3448016.3457235
M3 - Conference article
AN - SCOPUS:85108978435
SN - 0730-8078
SP - 2384
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 -