Systems Science

There are two fields which, nearly ritualistically, deliver graduates who believe they can do anything. This tends to involve a reckless disregard field boundaries, established norms, and anyone else’s feelings. These fields are mathematics and public policy. This is best illustrated by John W. Tukey’s famous quote, “The best thing about being a statistician is that you get to play in everyone’s backyard.” My academic training in math and policy left me doomed to a life of messing around with any interesting idea.

A lot of this tends to fall under the heading of systems science, the study of dynamic systems, chaos, operations research, cybernetics and anything else involving complex systems. It can also focus on systems engineering, specifically IT and software development. I have spent a long time working near software engineering and occasionally in it, including a few years in embedded development, some time in web engineering, and a lot of time in and near the server room. Accordingly, I have spent a lot of time thinking about it and occasionally doing something about it. You can find some assorted writings, both technical and nontechnical, on the software engineering and IT fields collected together here with other materials on systems science.

Publications and Presentations

Natalie M. Scala; James P. Howard, II (Ed.): Handbook of Military and Defense Operations Research. Chapman and Hall/CRC Press, Boca Raton, Florida, Forthcoming. (Type: Book | Links | BibTeX)
James P. Howard, II: Forecasting Artificial Earth Satellite Populations. 2018 Joint Statistical Meetings Vancouver, British Columbia, Forthcoming. (Type: Conference | BibTeX)
Lorraine Black; Natalie M. Scala; Paul Goethals; James P. Howard, II: Values and Trends in Cybersecurity. Kash Barker; Diana Berry; Chase Rainwater (Ed.): Proceedings of the 2018 Industrial and Systems Engineering Conference, Institute of Industrial and Systems Engineers, Orlando, Florida, 2018. (Type: Inproceedings | Links | BibTeX)
James P. Howard, II: The Overhype Cycle of Data Science. Industrial Management, 60 (1), pp. 8-9, 2018, (SEMS Says). (Type: Journal Article | Links | BibTeX)
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. Journal of Open Source Software, 2 (13), pp. 256, 2017. (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)
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: The MacOS X Command Line. BSD Magazine, pp. 40-41, 2011. (Type: Journal Article | Abstract | Links | BibTeX)
James P. Howard, II: Setting Up Git and Mercurial Servers. BSD Magazine, pp. 34-35, 2011. (Type: Journal Article | Abstract | Links | BibTeX)
James P. Howard, II; Peter Van Buren: Using DVCS Frameworks for Homogenous Systems Management. Columbia, Maryland, 12.01.2011. (Type: Presentation | Links | BibTeX)
James P. Howard, II: The BSD Family Tree. DaemonNews, 2001. (Type: Journal Article | Links | BibTeX)
James P. Howard, II: An Introduction to FreeBSD Ports. DaemonNews 2000, visited: 01.06.2000. (Type: Online | Abstract | Links | BibTeX)

Grants and Support

Principal Investigator: Blockchain-Assured Network Name Service. The Johns Hopkins University Applied Physics Laboratory LLC, Combustion Grant 2017, ($50,000). (Type: Workshop | 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)

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Image by Yerpo / Wikimedia Commons.