Scientific Computing

Almost everything I do is underlaid by scientific computing and numerical analysis. Even as a teenager, I was curious about and exploited numerical errors in trigonometric functions in QBASIC to create glitch art. And I created artificial life simulations based on things I had read about in books. During the mathematics program at Maryland, my computational methods course was inspiring, from the implicit beauty of Newton-Cotes integration to the practical problems of fixed precision arithmetic. Whether it was running Monte Carlo simulations on the NFIP or deploying real-time classifiers in Java, numerical analysis is the key to understanding what the machine is doing. This interest led to my recent book, Computational Methods for Numerical Analysis with R.

I have been a data scientist since we called it statistics. For nine years, I worked at the Federal Reserve Board at the intersection of data, computers, and social science. It was an incredible training ground. And we played with a lot of R. Then I left to become a data science consultant and man about the District.

Publications and Presentations

James P. Howard, II: Computational Methods for Numerical Analysis with R. Chapman and Hall/CRC Press, Boca Raton, Florida, 2017, ISBN: 9781498723633. (Type: Book | Links | BibTeX)
James P. Howard, II: Virtual Bumblebees Artificial Life Simulation. The Journal of Open Source Software, 2017. (Type: Journal Article | Links | BibTeX)
James P. Howard, II: Review of Meta-Analysis with R by Guido Schwarzer, James R. Carpenter, and Gerta Rücker. Journal of Statistical Software, 70 (Book Review 1), pp. 1–3, 2016, ISSN: 1548-7660. (Type: Journal Article | Links | BibTeX)
James P. Howard, II: Numerical Analysis in R. Statistical Programming DC Washington, 2015. (Type: Conference | Abstract | Links | BibTeX)
James P. Howard, II: Review of Uncertainty Quantification and Stochastic Modeling with MATLAB by Eduardo Souza de Cursi and Rubens Sampaio. Journal of Statistical Software, 67 (Book Review 7), pp. 1–3, 2015, ISSN: 1548-7660. (Type: Journal Article | Links | BibTeX)
James P. Howard, II: Review of Data-Driven Modeling & Scientific Computation: Methods for Complex Systems & Big Data by J. Nathan Kutz. Journal of Statistical Software, 67 (Book Review 1), pp. 1–3, 2015, ISSN: 1548-7660. (Type: Journal Article | Links | BibTeX)
James P. Howard, II: Virtual Bumblebees. MathFest 2015, Mathematical Association of America Washington, DC, 2015. (Type: Conference | Links | BibTeX)
James P. Howard, II; Scott Beaumont: Analysis as a Service. Digital Leaders, pp. 20–21, BCS, the Chartered Institute of IT, London, 2015. (Type: Book Chapter | Links | BibTeX)
James P. Howard, II: Create a simple predictive analytics classification model in Java with Weka. IBM developerWorks 2013, visited: 01.11.2013. (Type: Online | Abstract | Links | BibTeX)
James P. Howard, II: Implications of Coarse Data Allocation Methods for Flood Mitigation Analysis. 2013 Joint Statistical Meetings Montréal, Québec, 2013. (Type: Proceeding | Abstract | Links | BibTeX)
James P. Howard, II: Our Boo-boo. Significance, 10 (4), pp. 44, 2013, ISSN: 1740-9713. (Type: Journal Article | Links | BibTeX)
Christina Ayiotis; James P. Howard, II; Peter Van Buren: Collaborative Development and Social Media in Government Agencies. Knowledge Management Conference and Exposition, Tysons Corner, Virginia, 2011. (Type: Conference | Links | BibTeX)
James P. Howard, II: Review of R Cookbook by Paul Teetor. Journal of Statistical Software, Book Reviews, 40 (Book Review 3), pp. 1–3, 2011, ISSN: 1548-7660. (Type: Journal Article | Links | BibTeX)

Related Coverage and News

Bill Marcus: In the minds of machines: Fundamental change from deep analytics. HPE Insights 2016, visited: 11.08.2016. (Type: Online | Links | BibTeX)
Lisa Morgan: Agile Analytics: 11 Ways To Get There. InformationWeek 2016, visited: 26.04.2016. (Type: Online | Links | BibTeX)
IMI TechTalk with Tom D’Auria: Artificial Intelligence is a Go. 1100 KFNX and podcast, 2016. (Type: Miscellaneous | Links | BibTeX)
Sandeep Arora: Internet of Analytics (IoA) #tech2016. Flarrio 2016, visited: 04.04.2016. (Type: Online | Links | BibTeX)

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