Community Data Science Workshops (Fall 2014)/Reflections: Difference between revisions

We also had people from Pyschology, the City of Seattle, the Low Income Housing Project, Seattle Meshnet, Biochemical Engineering, Bio Physical, Chemical Engineering, Game Studies, Linguistic, College of the Environment, Oceanography, the School and Public Health, UW Bothell, Central Washington University, and many people who did not specify an affiliation. We continue to think that it's important that people who are not doing research but who are are part of online communities were in the mix with UW-type researchers. Bringing together researchers and participants in online communities is an important goal and would like to work toward more balance in this regard and to increase the amount of non-UW participation.

Retention between session and 0 and 1 was nearly 100%. Retention between sessions 1 and 2 and sessions 2 and 3 was roughly 75% and leaving us with perhaps 55-60% retention atbetween thesession end0 ofand session 3.

Anecdotally, there is a sense that those who are dropping arewere those who had more trouble but who didn’t struggle visibly.

Although our participant pool in [[CDSW (Spring 2014)]] was overwhelming female (80-90%), there was close to gender balance in both students and mentors. Roughly 2/3 of mentees were from UW and this includedtime students from random places including someone who works for the city of Seattlearound. Many random Wikipedians were there. We continue to think that it's cool that people who are not doing research but are part of online communities were in the mix with the researchers.

Once again, the constraint on scaling the workshop iswas the number of mentors. Every mentor we added means that the workshop can accommodate four more mentees.