Absolutely! Depending on the type of institution, it can also be helpful to point out the contributions of students. For example, a PUI might be impressed by your mention of undergrads who may have worked with you. And in general, having supervised grad students, if that is the case, makes you seem like an "adult" in the academic sense.
Thanks, everyone! I especially like Twice's comment, although I didn't have any student assistants on the work I'm presenting, so the acknowledgments are for data and government agencies that cooperated (not funded). I guess it shows that I can collaborate with the agencies, though. I have other research that students worked on, but I wasn't going to present that for this talk (it's a completely different study).
Yes. It shows you acknowledge the help given by collaborators. Plus it tells your audience who you are training with and who your mentors are. In my field it is almost always done.
7 comments:
Sure. In my field it happens all the time.
Definitely.
Absolutely! Depending on the type of institution, it can also be helpful to point out the contributions of students. For example, a PUI might be impressed by your mention of undergrads who may have worked with you. And in general, having supervised grad students, if that is the case, makes you seem like an "adult" in the academic sense.
Thanks, everyone! I especially like Twice's comment, although I didn't have any student assistants on the work I'm presenting, so the acknowledgments are for data and government agencies that cooperated (not funded). I guess it shows that I can collaborate with the agencies, though. I have other research that students worked on, but I wasn't going to present that for this talk (it's a completely different study).
Yes. It shows you acknowledge the help given by collaborators. Plus it tells your audience who you are training with and who your mentors are. In my field it is almost always done.
Yes. It's not always done in my field, but it's a nice way of giving credit where credit is due (as julep said).
agreeing with all, especially in your case with data cooperation.
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