Closed wdoyle42 closed 4 years ago
This looks great Will! I am not sure if the order you provided in the proposal is the order of panelist speaking, but if so, I would suggest to rearrange the order so that Ben is after Patricia. That way its Patricia then Ben (talking about the intro & results of the first stage of the project), and then me (broadening to a tangential analysis of institutional profiles) and then Karina (as she relates it to her work on spacial discrimination in college recruiting). Thanks for pulling this together Will!
Looks great. I agree with @mositelu about the ordering of the panel presentation.
I just had a minor suggestion. Maybe it would be good to include a definition of predictive algorithm at the beginning? I had no idea what this was about a few months ago so it might help the reader/reviewer get a sense of why this approach is important and relevant to higher education decision making.
Small change to my name pushed to the branch.
Two items:
Per @mositelu's suggestion: the benefit of the current set up is that @mositelu can set a strong motivation for the unrollment project. That said, if @mpatricia01 provides that motivation in her part, @mositelu can spend more time doing what she suggests. Plus, if @ksalazar3 has a more technical presentation, then @mositelu's suggested ordering might improve the balance (i.e. not putting two technical discussions back to back). So I guess what I'm saying is I'm good either way, but leaning toward @mositelu's proposed change.
Also, agree with @mpatricia01's suggestion. I would think just a sentence or clause would do.
Otherwise, I'm good!
Agree with @mpatricia01's suggestion about adding one sentence to define predictive analytics.
I think @mositelu's proposed ordering makes sense! And all of this seems broad enough to make changes for the actual setup if it gets accepted!
All else seems good to me!
ASHE symposium proposal, as discussed previously:
@mositelu : Institutional profiles: how individual institutions may be affected by differing approaches to the use of algorithms for predicting enrollment and graduation.
@mpatricia01 : Overview of the unrollment project, goals and implementation steps
@btskinner : Initial results from the unrollment project--models for predicting graduation and simulations based on decisions rules.
@ksalazar3 Karina: Discussing how misuse of predictive models can lead to spatial discrimination
@wdoyle42 : Introductions and moderation