class: center, middle, inverse, title-slide # My research and the COE ### Daniel Anderson ### September 11, 2018 ---  ### Large inter-state collaborative * Oregon, Arizona, Pennsylvania, North Carolina * Lots of data and data sharing agreements + State testing data for every student in each state, Grades 3-8, in Reading and Math (some science) + Number of years varies by state, but generally there's about a decade * Focus on growth-modeling, accountability policies, and between-school --- class: bottom left background-image:url(growth-projections.png) background-size:contain # My dissertation --- class: bottom left background-image:url(comp-effects.png) background-size:contain --- # Challenges with NCAASE Computational perspective was generally not present * Flat file structures * GLM framework * Secure data - not easily shareable/releasable * Lots of good work (~25 publications), but plenty of areas for improvement --- # Work stemming from NCAASE <iframe seamless src="alameda_poverty.html" width="100%" height="500"></iframe> --- ## "Epidemiological" work in education * Large-scale data sources incorporated with educational outcomes * Predict "disease" (e.g., achievement gaps) * Include different modeling strategies (e.g., machine learning) * Ideally, data are publicly available/shareable + Increase transparency/reproducibility --- # In closing ### The COE more broadly * Many faculty represented in the [Prevention Science Institute](https://psi.uoregon.edu) + See active projects [here](https://psi.uoregon.edu/activegrants.html) + Adoption studies + Drug abuse prevention + Parent-training studies * fMRI work + Reading comprehension + Mathematics problem soloving * Lots of work on Autism Spectrum Disorder and other disabilities --- class: center # Thanks [<i class="fab fa-twitter "></i> datalorax_](https://twitter.com/datalorax_) [<i class="fab fa-github "></i> datalorax](https://github.com/datalorax) [<i class="fas fa-globe "></i> datalorax.com](http://www.datalorax.com)