Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Cassy Dorff"'
Publikováno v:
Journal of Peace Research. 60:172-189
For decades, the United States has been generally excluded from cross-national quantitative datasets on the study of collective action and political resistance. More recently, however, new data collection efforts are on the rise. These projects speci
Publikováno v:
British Journal of Political Science. 53:441-459
Building on recent developments in the literature, this article addresses a prominent research question in the study of civil conflict: what explains violence against civilians? We use a novel computational model to investigate the strategic incentiv
Publikováno v:
PS: Political Science & Politics. 55:804-808
As greater shares of research and data are digitized, political scientists are increasingly confronted with questions pertaining to data security. Yet, data-management plans rarely evaluate the risks pertaining to a researcher’s data across all pro
Large Language Models (LLMs) offer new research possibilities for social scientists, but their potential as “synthetic data” is still largely unknown. In this note, we investigate the potential of using the popular closed-source LLM ChatGPT to me
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c47e8d122c37d1e93a810dc932383de2
https://doi.org/10.31235/osf.io/5ecfa
https://doi.org/10.31235/osf.io/5ecfa
Publikováno v:
International Studies Review. 25
In the 3 years between the 2019 and 2022 International Studies Association (ISA) meetings, the profound state of global economic, social, and political upheaval around the world has become unavoidably evident for much, if not most, of the world. Agai
Spatial interdependencies commonly drive the spread of violence in civil conflict. To address such interdependence, scholars often use spatial lags to model the diffusion of violence, but this requires an explicit operationalization of the connectivi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d8f93278cbd59273c166af219f5aee0b
https://strathprints.strath.ac.uk/71227/1/Gallop_etal_ISQ2020_What_lies_beneath_using_latent_networks_to_improve_spatial_predictions.pdf
https://strathprints.strath.ac.uk/71227/1/Gallop_etal_ISQ2020_What_lies_beneath_using_latent_networks_to_improve_spatial_predictions.pdf
Publikováno v:
The Journal of Politics. 82:476-493
Civil conflicts are complex: multiple warring parties compete for control of territory both against each other and the government. These processes are often dynamic; changing over time and space. In this study, we embrace these complexities through a
Publikováno v:
PS: Political Science & Politics. 55:558-559
Autor:
Cassy Dorff, Max Gallop, Margaret Foster, Michael D. Ward, Juan Fernando Tellez, Howard Liu, Shahryar Minhas
International relations scholarship concerns dyads, yet standard modeling approaches fail to adequately capture the data generating process behind dyadic events and processes. As a result, they suffer from biased coefficients and poorly calibrated st
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c9239bb315435b9c145336dd680a213d
https://strathprints.strath.ac.uk/79051/1/Gallop_etal_PSRM_2021_Taking_dyads_seriously.pdf
https://strathprints.strath.ac.uk/79051/1/Gallop_etal_PSRM_2021_Taking_dyads_seriously.pdf
Publikováno v:
Journal of Conflict Resolution. :002200272211283
Over the last 12 years, Mexico has become one of the most dangerous places to be a journalist. We examine how this risk-environment influences the content and strategies of reporting at one of Mexico’s most well known national newspapers, Reforma.