Suchergebnisse - "Mahmood, Zuhaib"

Internationalist U.S. Foreign Policy and Elite Consensus.

Autoren: Grossmann, Matt Mahmood, Zuhaib

Quelle: Representation; Nov2023, Vol. 59 Issue 4, p763-773, 11p

Schlagwörter: INTERNATIONAL relations

Geografische Kategorien: UNITED States

The United Nations After 75: Assessing Current Understandings, Charting Fruitful Research Agendas.

Autoren: Mahmood, Zuhaib Beardsley, Kyle Newton, Christopher et al.

Quelle: International Peacekeeping (13533312); Aug2022, Vol. 29 Issue 4, p551-623, 73p

Schlagwörter: SCHOLARSHIPS, COLUMNS, HUMAN rights, ESSAY collections, PEACEBUILDING

Firma/Körperschaft: UNITED Nations

Political Parties, Interest Groups, and Unequal Class Influence in American Policy.

Autoren: Grossmann, Matt Mahmood, Zuhaib Isaac, William

Quelle: Journal of Politics; Oct2021, Vol. 83 Issue 4, p1706-1720, 15p

Schlagwörter: CLASS politics, GOVERNMENT policy, POLITICAL parties, PRESSURE groups, MIDDLE class

Firma/Körperschaft: REPUBLICAN Party (U.S. : 1854- ), DEMOCRATIC Party (U.S.)

Do the robot: Lessons from machine learning to improve conflict forecasting.

Autoren: Colaresi, Michael Mahmood, Zuhaib

Quelle: Journal of Peace Research; Mar2017, Vol. 54 Issue 2, p193-214, 22p

Schlagwörter: VIOLENCE forecasting, CIVIL war, CONFLICT management, MACHINE learning, NULL hypothesis

Tipping Points: Challenges in Analyzing International Crisis Escalation.

Autoren: Chen, Chong Roberts, Jordan Adhikari, Shikshya et al.

Quelle: International Studies Review; Sep2022, Vol. 24 Issue 3, p1-25, 25p, 1 Chart, 3 Graphs

Schlagwörter: CRISES, INDETERMINISM (Philosophy), INTERPERSONAL conflict, INTERNATIONAL relations, POLITICAL systems

Threat Conceptions in Global Security Discourse: Analyzing the Speech Records of the United Nations Security Council, 1990–2019.

Autoren: Sakamoto, Takuto

Quelle: International Studies Quarterly; Sep2023, Vol. 67 Issue 3, p1-16, 16p, 3 Diagrams, 2 Charts

Schlagwörter: WEAPONS of mass destruction, DELIBERATION, COLD War, 1945-1991, WAR

Firma/Körperschaft: UNITED Nations. Security Council, UNITED Nations

[W]hat Lies Beneath: Using Latent Networks to Improve Spatial Predictions.

Autoren: Dorff, Cassy Gallop, Max Minhas, Shahryar

Quelle: International Studies Quarterly; Mar2022, Vol. 66 Issue 1, p1-12, 12p, 4 Charts, 4 Graphs

Schlagwörter: SPATIAL variation, INTERDEPENDENCE theory, INTERNATIONAL organization, VIOLENCE, INTERNATIONAL conflict

Reassessing the Role of Theory and Machine Learning in Forecasting Civil Conflict.

Autoren: Beger, Andreas Morgan, Richard K. Ward, Michael D.

Quelle: Journal of Conflict Resolution; Aug/Sep2021, Vol. 65 Issue 7/8, p1405-1426, 22p

Schlagwörter: CIVIL war, PREDICTION models, MACHINE learning, RECEIVER operating characteristic curves, CONFLICT management

How to teach machines to read human rights reports and identify judgments at scale.

Autoren: Park, Baekkwan Greene, Kevin Colaresi, Michael

Quelle: Journal of Human Rights; Jan-Mar2020, Vol. 19 Issue 1, p99-116, 18p, 3 Diagrams, 6 Charts

Schlagwörter: HUMAN rights, WORD order (Grammar), WORD frequency, JUDGMENT (Psychology), MACHINE learning

Firma/Körperschaft: UNITED States. Dept. of State, AMNESTY International, HUMAN Rights Watch (Organization)

ViEWS: A political violence early-warning system.

Autoren: Hegre, Håvard Allansson, Marie Basedau, Matthias et al.

Quelle: Journal of Peace Research; Mar2019, Vol. 56 Issue 2, p155-174, 20p

Schlagwörter: POLITICAL violence, EARLY Warning System (European Union politics), CIVIL war, MACHINE learning, STATISTICS

Geografische Kategorien: AFRICA