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.
Nathan E. Sanders
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.
Towards Characterization of the Type IIP Supernova Progenitor Population: a Statistical Sample of Light Curves from Pan-STARRS1
Aims to characterize Type IIP supernova progenitors by analyzing a statistical sample of light curves obtained from the Pan-STARRS1 survey.
Unsupervised Transient Light Curve Analysis Via Hierarchical Bayesian Inference
Details a statistical method for analyzing transient light curves in astronomy using hierarchical Bayesian inference to model and characterize them.
The Broad-lined SN Ic 2012ap and the Nature of Relativistic Supernovae Lacking a GRB Detection
Analysis of SN 2012ap and the nature of relativistic SNe without GRB detections.
Relativistic Supernovae Have Shorter-lived Central Engines Or More Extended Progenitors: The Case Of SN 2012ap
Investigates central engines/progenitors of relativistic SNe, focusing on SN 2012ap.
Rapidly Evolving And Luminous Transients From PAN-STARRS1
Presents rapidly evolving and luminous transients discovered by Pan-STARRS1.