Tag: bigbang

BigBang Sprint at IETF110 Hackathon

When: March 1-3, 2021

The BigBang project will be working on improving its tool for mailinglist analysis at the IETF 110 Hackathon.

BigBang is an open source research project that studies collaboration and contention in digital infrastructure projects and governance institutions. We do this by combining data science techniques with qualitative methods. For example, with BigBang you can analyze participation, affiliation, gender, and networks in the IETF, ICANN, RIPE, IEEE, or the 3GPP.

We very much welcome both techncial and non-technical contributors! BigBang is built on the scientific Python stack, and we use Jupyter notebooks to make the analysis transparent and accessible.

To join the IETF 110 Hackathon, please register using the link from the Hackathon website. Registration is free!

We intend to work on (some of) the following issues during the hackathon:

– Integration and analysis of 3GPP and IEEE mailing lists
– Integration with the INDELab conversationkg tool
– Produce instructional videos
– Improve linking across datasets (such as the datatracker and mailing lists)
– Query/notebook design to support projects from research community
– Discussion of Star’s boundary object vs. Luhmann’s structural coupling
– The operationalization of _your_ research question!

The BigBang project will have a one-hour team meeting Friday February 26 – 9:00 ET / 14:00 GMT / 15:00 CET before the Hackathon which all are welcome to attend if they are curious about the project. You can join via this link: https://uva-live.zoom.us/s/6365963924

Please don’t hesitate to write Seb (sbenthall at gmail dot com) if you have any questions about the BigBang project or the IETF 110 sprint, or if you have suggestions for research questions!


BigBang v0.2.0 ‘Tulip Revolution’ released

DATACTIVE has been collaborating with researchers from New York University and the University of California at Berkeley to release version 0.2.0 of the quantitative mailinglists analysis software BigBang. Mailinglists are among the most widely used communication tools in Internet Governance institutions and among software developers. Therefore mailinglists lend themselves really well to do analysis on the development of the communities as well as topics for discussion and their propagation through the community. BigBang, a python based tool, is there to facilitate this. You can start analyzing mailinglists with BigBang by following the installation instructions.

This release, BigBang v0.2.0 Tulip Revolution, marks a new milestone in BigBang development. A few new features:
– Gender participation estimation
– Improved support for IETF and ICANN mailing list ingest
– Extensive gardening and upgrade of the example notebooks
– Upgraded all notebooks to Jupyter 4
– Improved installation process based on user testing

En route to this milestone, the BigBang community made a number of changes to its procedures. These include:

– The adoption of a Governance document for guiding decision-making.
– The adoption of a Code of Conduct establishing norms of respectful behavior within the community.
– The creation of an ombudsteam for handling personal disputes.

We have also for this milestone adopted by community decision the GNU Affero General Public License v3.0.

If you have any questions or comment, feel free to join the mailinglist,
join us on gitter chat or file an issue on Github.

If you are interested in using BigBang but don’t know where to start, we are happy to help you on your way via videochat or organize a webinar for you and your community. Feel free to get in touch!