Meeting the Modern Naturalists at the Digital Data in Biodiversity Conference

Ciera Martinez / June 18, 2018

On June 3-6, 2018, I attended the Second Annual Digital Data in Biodiversity Research Conference, which brought together a complex culture of individuals who share a common mission of providing natural history data to the world. The attendees ranged from collection managers, curators, IT specialists, academic researchers, to funders. These 'modern naturalists' are obsessed with data and arming themselves to use this data to fight for our planet.

The BIDS MEG/EEG/iEEG Data Format Survey

Chris Holdgraf / June 7, 2018

Note: all analyses and data used in this post can be found at this github repository. You can also run the code interactively at this Binder link.

BIDS hosts the inaugural GraphXD workshop

Jarrod Millman / April 13, 2018

During spring break (March 27–29, 2018), BIDS hosted the first annual Graphs Across Domains (GraphXD) workshop. Lauren Ponisio

Automatic MCMC hyperparameter sensitivity measurements in Stan -- A worked example

Ryan Giordano / January 31, 2018

We will now follow up our previous post on automatic MCMC hyperparameter sensitivity with a detailed use case taken from the Stan examples. All the code to produce the results below, as well as more examples, can be found in the examples folder on the rgiordan/StanSensitivity git repo. This simple, real-life example has a number of interesting features:

Automatic MCMC hyperparameter sensitivity measurements in Stan

Ryan Giordano / January 19, 2018

A Bayesian approach to statistical modeling comes with many advantages. For example, it's the only logically coherent way to model uncertainty of parameter estimates! Being Bayesian has never been easier than it is now, thanks to high-quality, easy-to-use automatic tools like Stan.

2017 TextXD Conference - Videos and Commentary

Marsha Fenner / December 2, 2017

  THURSDAY, NOVEMBER 30 at BIDS (190 Doe Library) Host Nick Adams, a researcher at BIDS and founder of GoodlyLabs, welcomed this year's participants. 10:10-10:35 AM John Mohr, University of California, Santa BarbaraThe Frontiers of Social Scientific Text Analysis