- PaGMO — Parallel Global Multiobjective Optimizer [...] a generalization of the island model paradigm working for global and local optimization algorithms. Its main parallelization approach makes use of multiple threads, but MPI is also implemented and can be mixed in with multithreading. PaGMO can be used to solve in a parallel fashion, global optimization tasks.
- Avoiding the Tragedy of the Anticommons — Many people talk about “open source biology.” Mike Loukides pulls apart open source and biology to see what the relationship might be. I’m still chewing on what devops for bio would be. Modern software systems throw off gigabytes of data, and we have built tools to monitor those systems, archive their data, and automate much of the analysis. There are free and commercial packages for logging and monitoring, and it continues to be a very active area of software development, as anyone who’s attended O’Reilly’s Velocity conference knows.
- peppytides (Makezine) — 3d-printed super accurate, scaled 3D-model of a polypeptide chain that can be folded into all the basic protein structures, like α-helices, β-sheets, and β-turns. (via Lenore Fried)
- London Data Store — dashboard and open data catalogue for City of London’s data release efforts.
ENTRIES TAGGED "open data"
Recreation.gov should be a platform, not a silo.
President Obama’s well-publicized national open data policy (pdf) makes it clear that government data is a valuable public resource for which the government should be making efforts to maximize access and use. This policy was based on lessons from previous government open data success stories, such as weather data and GPS, which form the basis for countless commercial services that we take for granted today and that deliver enormous value to society. (You can see an impressive list of companies reliant on open government data via GovLab’s Open Data 500 project.)
Based on this open data policy, I’ve been encouraging entrepreneurs to invest their time and ingenuity to explore entrepreneurial opportunities based on government data. I’ve even invested (through O’Reilly AlphaTech Ventures) in one such start-up, Hipcamp, which provides user-friendly interfaces to making reservations at national and state parks.
A better system is sorely needed. The current reservation system, managed by the Active Network / Reserve America is clunky and almost unusable. Hipcamp changes all that, making it a breeze to reserve camping spots. Read more…
An exploration of themes in Joel Gurin's book Open Data Now.
As governments and businesses — and increasingly, all of us who are Internet-connected — release data out in the open, we come closer to resolving the tiresomely famous and perplexing quote from Stewart Brand: “Information wants to be free. Information also wants to be expensive.” Open data brings home to us how much free information is available and how productive it is in its free state, but one subterranean thread I found in Joel Gurin’s book Open Data Now highlights an important point: information is very expensive.
In this article, I’ll explore a few themes that piqued my interest in Gurin’s book: the value of open data, the expense it entails, the questions of how much we can use and trust it, and the role the general public and the private sector play in bringing us data’s benefits. This is not meant to be a summary or a review of Gurin’s book; it is an exploration of themes that interest me, inspired by my reading of Gurin.
Open, trustworthy, and useful
“Open data” occupies hierarchies of usefulness. One way of describing its usefulness is the structure of its presentation, as Gurin and others such as Tim Berners-Lee have pointed out. Much data is still fairly unstructured, like the reviews and social media status postings that people generate by the millions and that are funneled into eager consumption by marketing analysts. Some data is more structured, existing as tables. And finally, a tiny fragment can be reached through the RESTful APIs supported by libraries in every modern programming language. Read more…