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Found 3 papers, 1 papers with code
Tracking Legislators’ Expressed Policy Agendas in Real Time
We develop a real-time scalable method to analyze strategic communication by political actors on salient policy issues through their tweets.
Ranked #1 on
Political Salient Issue Orientation Detection
on Persian Twitter
(using extra training data)
Political Salient Issue Orientation Detection
Text Classification
+1
Leveraging the Power of Place: A Data-Driven Decision Helper to Improve the Location Decisions of Economic Immigrants
Instead, they often rely on availability heuristics, which can lead to the selection of sub-optimal landing locations, lower earnings, elevated outmigration rates, and concentration in the most well-known locations.
Combining Outcome-Based and Preference-Based Matching: A Constrained Priority Mechanism
We introduce a constrained priority mechanism that combines outcome-based matching from machine-learning with preference-based allocation schemes common in market design.
