Code Management & You!

Research suggests that computational scientists spend up to 30% of their work week writing code. 90% of computational scientists are self-trained. This means that many best-practices for code development and maintenance are often not formally articulated or trained. This talk presents a high-level overview of best practices in code management. Interested readers should check out the following papers:

Slides for this talk can be downloaded here.

Lab to Present at NCA19

The Cognitive Communication Science Lab is presenting research at the annual meeting of the National Communication Association in Baltimore, MD. Members of the lab helped organize the Getting Results that Survive: Improving Communication Science pre-conference (OSF). Talks include:

Huskey, R. Do we need to rethink data sharing? (2019, November). Wednesday, 11/13 343 (300 Level) Baltimore Convention Center 8:30am

Huskey R., Couture Bue, A., Eden, A., Grall, C., Meshi, D., Prena, K., Schmälzle, R., Scholz, C., Turner, B., & Wilcox, S. (2019, November). Is Communication Neuroscience Just Another Subfield in an Already Crowded Discipline? 11/14, Paca (Third Level) Hilton 5:00pm

Lab to Present at the Annual C^2 Retreat

Lab Members Xuanjun (Jason) Gong and Richard Huskey will present at the annual C^2 Retreat. The retreat is an opportunity for members of the C^2 community to share ideas, get feedback on research, and build community among computational social scientists in the Department of Communication at the University of California, Davis. Lab talks include:

Gong: Information Foraging Theory – An ecological model of information seeking behavior applied in media behavior studies

Huskey: Moralizing mass shooting: Do mass shooters use moral language to justify their behavior?


Lab Wins CMM Article of the Year Award

Richard Huskey and his co-authors received the Communication Methods and Measures (CMM) Article of the Year Award for their manuscript titled “Extracting Latent Moral Information from Text Narratives: Relevance, Challenges, and Solutions“. This article was published in the Special Issue on Computational Methods for Communication Science.

Just one article is awarded each year. According to CMM: “The winner will be determined by a two step procedure. In the first step, the editors will nominate the three best articles published that year. In the second step, those nominations will be submitted to the leadership of the Communication Theory and Methodology division of AEJMC, who will deliberate and choose the winner.”