Resources

As a part of this site you can find resources I have / will collect over time. I am posting them here for my reference and also to share as others can benefit. Where appropriate, please do credit the source(s) if you borrow them for re-use.

Listed below you can find posts that fall into the general resource category, and separately you can find books I recommend or summaries from conferences or speaking.

Thanks for your interest, and your contributions are welcome!

Related posts & resources

Books to read: Algorithms to Live By

This book is a solid read with ideas that apply to decision making across a broad spectrum of areas. The authors are able to make the math and conversation around algorithms map to life in well thought and articulated examples that should open your thinking to new ways to approach problems and opportunities. A few sections that jumped out to me are referenced here or in the reviews, but I encourage you to take the book for a spin yourself. Continue reading Books to read: Algorithms to Live By

Algorithms for decision making: Free book download from MIT

MIT press has provided a free book on Algorithms for decision making. You can download it from MIT Press here, or alternatively it is available from this site if the original link fails. From the data science website: The book takes an agent based approachAn agent is an entity that acts based on observations of its environment. Agents may be physical entities, like humans or robots, or they may be nonphysical entities,such as decision support systems that are implemented entirely in software. Continue reading Algorithms for decision making: Free book download from MIT

Is your Scientific Data FAIR

For many years, we have seen the proliferation of data as we increasingly instrument our scientific processes. We have developed a diverse landscape of tools and processes, making significant leaps from paper based documentation, but created a new nightmare of integration and complex analysis. The FAIR initiative or set of principles is a framework to reduce that complexity through the application of a core set of principles outlined below, making data machine readable across sources. This unlocks the data from Continue reading Is your Scientific Data FAIR

Design Thinking

Design thinking is an approach that can be stand alone or a critical part if an agile delivery approach. It is at it’s heart, about inspecting and adapting, using iterative approaches to build value. The approach offers a number of great benefits, to include: Quicker Starts – Since there does not need to be a robust final design spec prior to starting the iteration process, the team can get to real value much more quickly, focusing on the priority items Continue reading Design Thinking

Agile Manifesto

The Manifesto for Agile Software Development came out of a discussion among 17 people in the Utah mountains. The story around the start in the Snowbird  ski resort is an interesting read, but fundamentally it is about looking for a better way of doing software development, and by extension, almost any other delivery activity. Agile is a simple idea at its heart, though an entire industry has sprung up around the idea and approach, in many cases, making it anything Continue reading Agile Manifesto

Principles behind the Agile Manifesto

The Agile Manifesto is backed or supported by 12 principles that describe the implementation approach. As mentioned in a related post, Agile is often blown up to a far more complex idea, with a misguided thinking that to be agile it means certain tools, specific techniques or other miscellaneous trivia. At its heart, the idea is simple and compelling. Breaking down the principles makes that clear, as you can see the roots in other approaches rolled up into this manifesto and related principles. We Continue reading Principles behind the Agile Manifesto

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