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May 16, 2025
Tai, Yuehong Cassandra; Nakka, Nitheesha; Patni, Khushi Navin; Rajtmajer, Sarah; Munger, Kevin; Lin, Yu-Ru; Desmarais, Bruce, 2024, "Digitally Accountable Public Representation (DAPR) Data", https://doi.org/10.7910/DVN/A9EPYJ, Harvard Dataverse, V7, UNF:6:MIWLsXu26vjIwrzplpMJtA== [fileUNF]
This is the main bulk data repository for the Digitally Accountable Public Representation (DAPR) Database, an innovative archive that systematically tracks and analyzes the online communications of federal, state, and local officials in the U.S. Focusing on X/Twitter and Facebook, the current database includes 28,980 public officials, their demogra...
Jul 4, 2013
Desmarais, Bruce, 2013, "ScERG: Scientific Evidence in Regulation and Governance", https://doi.org/10.7910/DVN/QNLSBV, Harvard Dataverse, V1, UNF:5:KcdrwQxZXfRw5M8xeAF5Pg== [fileUNF]
We collected Regulatory Impact Analyses (RIAs) for all economically significant regulations from 2008-2012, excluding transfer and budget regulations. The RIA’s were accessed from the materials collected and made available online through the Mercatus Center at George Mason University. For each of the RIA’s, trained research assistants extracted cit...
Dec 12, 2012
Krafft, Peter; Moore, Juston; Desmarais, Bruce; Wallach, Hanna, 2012, "Replication data for: Topic-partitioned multinetwork embeddings", https://doi.org/10.7910/DVN/GGHMFT, Harvard Dataverse, V2
We introduce a joint model of network content and context designed for exploratory analysis of email networks via visualization of topic-specific communication patterns. Our model is an admixture model for text and network attributes which uses multinomial distributions over words as mixture components for explaining text and latent Euclidean posit...
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