kate questions Flashcards
how much of the pattern is explained by population decline / changing demographics in Baltimore over the last 20 years? (what would these figures look like as rates vs. counts?
would be helpful to look at rates, pop did decline between 2010 and 2020
pop decline: east and west but a bit of mix- south and northwest increase. increase among white communities around the inner harbor
sharp uptick shows good information to be gained in counts. counts used in models
limitations of using police-reported outcomes
studies have shown there is bias in police data driven by underreporting, underreporting across differ by social groups and geographic areas. level of policing also varies, willingness to call police, likelihood of witness and document arrest
Your main ITS models produce estimates of absolute change, but you also provide relative measures. To what extent do these tell the same / different stories? How were these different results received by community partners?
absolute numbers feel really small and really minimizing. does not match experience of workers. absolute important (translated to annual) but focus on relative. how many other violence prevention programs discussed
The augmented synthetic control methods are a really great way to estimate program effects but maybe a challenging tool for community-engaged research (because they’re complicated / maybe weighting several neighborhoods has less face validity to people than a 1-to-1 comparison?) How did you navigate this? How were the quant results received?
definitely challenging, continue to navigate. daniel cred over time. honestly received quite poorly, tho more due to what results were vs. methods specifically. misleading, advocacy vs. research
Does Safe Streets do anything different in their approach to youth? Should would we expect different evaluation results in youth vs. older adults? How do youth quant results relate to adult or overall program effects in Baltimore? On the qual side, did workers identify particular challenges/consideratoins (neighborhoood or organizational-level) of working with youth?
didnt get a lot of nuance here, in general struggled to get nuance on different mediation strategies based on different conflict outcomes, including age.
a few staff- acknowledge no cred, harder to access (cant go to youth parties), harder to mediate with less to lose.
used to be exclusively focused on youth- 90% mediation included youth 15-24, expanded both directions. stopped working with cure violence, accountable all violence
no clear pattern comparing overall- some consistency across sites but just as much inconsistency. one site w 19 y o yes effective h but not nfs
social media, relevance of mediation through gen above pending continued relevance of gen beefs
How do you think your lived experience / identity / positionality shaped interview results?
questions i asked, what i probed on more. tried to mitigate through collaboration and development.
power dynamics- as the researcher, social and economic differences, making people more hesitant to express critical views.
perception and trust- outsider who cant understand, reduce willingness share openly or candidly, less detailed or nuance response
similar- biases, assumptions on what i elevated in final results, tried to bias that with team of qualitative researchers
How did the project evolve in response to community feedback?
more solutions oriented. classic pointing out problems they already knew, asking questions they already knew the answers to.
specifics of mediation- “blueprint” of a mediation- place where i was deemed untrustworthy or too uninformed for nuance or lack of ability to articulate nuance.
fundamental perspective on why they werent interested in some of the nuance, trying to make the program better when felt like they werent running the model
What do you see as the biggest limitations to the research? How could you overcome them with perfect data / unlimited time and funding?
qual- embeddedness and observation
quant- individual level tracking
What are the obvious next steps, based on your results? What’s the most important / consequential research question that needs to be answered next?
advocacy w cbos and monse: staffing, media, safety/vests.
cross-site learning, cross cbo learning
