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    C-SoDAThe Center for Social Data Analytics
    News
    Sarah Rajtmajer to speaker on AI, the Data Rescue Project
    Dual-Title Ph.D. Student Gets Article Published
    C-SoDA Faculty Affiliate, Diane Felmelee and Ph.D. Student, Haoyang Zhang get Article Published
    Desmarais, Rajtmajer, and Munger receive NSF Grant
    Several C-SoDA Faculty and Graduate Students Present at 2023 PolMeth Conference
    C-SoDA Postdoctoral Fellows Present at State Politics and Policy Conference
    Events
    Oct 15
    12:00 PM
    The Center for Social Data Analytics Speaker Series Presents: Alina Arseniev-Koehler (Purdue University)
    Oct 22
    12:00 PM
    The Center for Social Data Analytics Speaker Series Presents: Siyang Ni (Criminology)
    Oct 29
    12:00 PM
    The Center for Social Data Analytics Speaker Series Presents: Jennifer Larson (Vanderbilt University)
    Nov 5
    12:00 PM
    The Center for Social Data Analytics Speaker Series Presents: Anthony Robinson (Geography)
    Nov 12
    12:00 PM
    The Center for Social Data Analytics Speaker Series Presents: Michael Schweinberge (Statistics)
    Nov 19
    12:00 PM
    The Center for Social Data Analytics Speaker Series Presents: Zita Oravecz (Human Development and Family Studies)
    Seed Grants
    C-SoDA Accelerator Award Program
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Research Tags: Publication

Collaborating remotely: an evaluation of immersive capabilities on spatial experiences and team membership (International Journal of Digital Earth, 2018)

Citizen monitoring during hazards: validation of Fukushima radiation measurements (GeoJournal, 2018)

More than counting: An intraindividual variability approach to categorical repeated measures (Journals of Gerontology: Series B, 2018)

Feature selection methods for optimal design of studies for developmental inquiry (Journals of Gerontology: Series B, 2018)

Learning simpler language models with the differential state framework (Neural Computation, 2017)

Event ordering with a generalized model for sieve prediction ranking (Natural Language Processing, 2017) 

Statistical modeling of the default mode brain network reveals a segregated highway structure (Scientific Reports, 2017)

Piecewise latent variables for neural variational text processing (EMNLP, 2017)

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)

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