Research Items

Crowdsourcing the measurement of interstate conflict (PLoS ONE, 2016)
Approaching spatial uncertainty visualization to support reasoning and decision making (Spatial Cognition & Computation, 2016)
Generating political event data in near real time (In Computational Social Science, 2016, Cambridge University Press)
Domains of uncertainty visualization research: a visual summary approach (Cartography and Geographic Information Science, 2016)
Human rights texts: converting human rights primary source documents into data (PLoS ONE, 2015)
Inference on the effects of observed features in latent space models for networks (SSRN preprint, 2016)
Incorporation of hierarchical structure into estimation and projection package fitting with examples of estimating subnational HIV/AIDS dynamics (AIDS 2017)
Statistical models for incorporating data from routine HIV testing of pregnant women at antenatal clinics into HIV/AIDS epidemic estimates (AIDS 2017)
Validating Safecast data by comparisons to a U. S. Department of Energy Fukushima Prefecture aerial survey (Journal of Environmental Radioactivity, 2017)
Unifying adversarial training algorithms with data gradient regularization (Neural Computation, 2017)
Falling behind: lingering costs of the high school transition for youth friendships and grades (Sociology of Education, 2018)
Learning simpler language models with the differential state framework (Neural Computation, 2017)
Decision-making in policy governed human-autonomous systems teams (IEEE Smart World Congress, 2017)
Feature selection methods for optimal design of studies for developmental inquiry (Journals of Gerontology: Series B, 2018)
The evolution of youth friendship networks from 6th to 12th grade: School transitions, popularity and centrality (Social Networks & the Life Course, 2018)
More than counting: An intraindividual variability approach to categorical repeated measures (Journals of Gerontology: Series B, 2018)
Adversary resistant deep neural networks with an application to malware detection (KDD, 2017)
Damage assessment of the urban environment during disasters using volunteered geographic information (Big Data for Regional Science, 2017)
Multi-scale FCN with cascaded instance aware segmentation for arbitrary oriented word spotting in the wild (IEEE Computer Vision and Pattern Recognition, 2017)
Smart Library: Identifying books on library shelves using supervised deep learning for scene text reading (Digital Libraries, 2017)
CompanionViz: Mediated platform for gauging canine health and engancing human-pet interactions (International Journal of Human-Computer Studies, 2017)
Piecewise latent variables for neural variational text processing (EMNLP, 2017)
Event ordering with a generalized model for sieve prediction ranking (Natural Language Processing, 2017)
Citizen monitoring during hazards: validation of Fukushima radiation measurements (GeoJournal, 2018)
Propensity score weighting for a continuous exposure with multilevel data (Health Services and Outcomes Research Methodology, 2016)
Immersive analytics for multi-objective dynamic integrated climate-economy (DICE) models (ACM Interactive Surfaces and Spaces, 2016)
Using prerequisites to extract concept maps from textbooks (ACM Information and Knowledge Management, 2016)
Racially differentiated language in NFL scouting reports (KDD Large Scale Sports Analytics, 2016)
NFL draft profiles are full of racial stereotypes. And that matters for when quarterbacks get drafted (Washington Post, 2017)
Collaborating remotely: an evaluation of immersive capabilities on spatial experiences and team membership (International Journal of Digital Earth, 2018)