How AI could write our laws
An article for the Tech Review about how AI could be used to write legislation.
Nathan E. Sanders
We Don’t Need to Reinvent our Democracy to Save it from AI
An article for Harvard's Belfer Center blog about how to address AI's coming impacts on democracy.
Estimating the Global Prevalence of Mass Public Shootings
Estimates the global prevalence of mass public shootings using Bayesian modeling.
Machine Learning Featurizations for AI Hacking of Political Systems
Investigates graph and sequence data representations for applying deep learning to predict outcomes in political and legislative systems, advancing the concept of AI hacking. [11, 17, 41]
The Contagion of Mass Shootings: The Interdependence of Large-Scale Massacres and Mass Media Coverage
Examines the interdependence of large-scale massacres and mass media coverage.
Forecasting the Severity of Mass Public Shootings in the United States
Forecasts the future severity of mass public shootings in the U.S. using statistical modeling.
Sewage: An Environmental Justice Tragedy
A blog post for the Mystic River Watershed Association about sewage overflows.
Does Media Coverage of Mass Public Shootings Create a Contagion Effect?
A short review article for Significance Magazine about the contagion effect in mass public shootings.
SuperRAENN: A Semi-supervised Supernova Photometric Classification Pipeline Trained on Pan-STARRS1 Medium Deep Survey Supernovae
A semi-supervised SN photometric classification pipeline using Pan-STARRS1 data.
Can the Coronavirus Prompt a Global Outbreak of 'Distributional Thinking' in Organizations?
Discusses the potential for the COVID-19 pandemic to foster 'distributional thinking' within organizations, drawing parallels with social justice movements.
Supernova Photometric Classification Pipelines Trained on Spectroscopically Classified Supernovae from the Pan-STARRS1 Medium-Deep Survey
SN photometric classification pipelines trained on Pan-STARRS1 MDS SNe.
AMEND: Open source, data-driven oversight of water quality in New England
Details the AMEND project, an open-source initiative for data-driven monitoring and oversight of water quality in New England.
A Balanced Perspective on Prediction and Inference for Data Science in Industry
Offers a balanced view on the roles of prediction and inference in data science within industrial applications, emphasizing their interconnectedness.
The Role of Prior Information in Inference on the Annualized Rates of Mass Shootings in the US
Examines how prior information affects statistical inferences regarding the yearly rates of mass shootings in the United States.
Clust-LDA: Joint Model for Text Mining and Author Group Inference
A joint model for text mining and inferring author groups.
Communicating Your Science With Help From ComSciCon
An article for the AddGene blog about ComSciCon and science communication.
Incorporating Current Research into Formal Higher Education Settings using Astrobites
Presents methods for integrating current astrophysical research into higher education curricula using the Astrobites resource, with lesson plans and examples.
iPTF15eqv: A Likely EOB Progenitor for a Type Ib Ca-rich Transient
Multi-wavelength analysis of the Ca-rich transient iPTF15eqv.
Advertising Attribution Modeling in the Movie Industry
Models advertising attribution for the movie industry, presented at StanCon 2017.
Modeling the Time Evolution of the Annualized Rate of Public Mass Shootings with Gaussian Processes
Describes a statistical model using Gaussian Processes to understand the changing annual rate of public mass shootings, presented at StanCon.