WEBVTT

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lost in the fog of a cosmic storm floating on

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whimsical wavelengths is the norm dancing through

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the stars chasing spectrums of light It's been

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two weeks, and well, it's time for a little bit

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of whimsical wavelengths on your Monday morning.

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I'm always learning new things, and trying new

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things, and yes, making new episodes. This time,

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I got the opportunity to have a slightly different

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kind of guest. Well, maybe not that different.

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Not different at all. I mean, still a researcher,

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still talking about a paper they've recently

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published. The discipline, that's slightly different.

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We're going to look at education and STEM. At

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the people who choose science and technology

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bachelors. And more specifically, astronomy.

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Usually, we look outwards to the stars. But this

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week, we're turning the telescope around. The

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scientists are the ones under observation. So

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don't worry, it's all ethically approved. Understanding

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why people choose a specific career is an important

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thing for anyone with the eye to the future.

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Let me give you an example. In geoscience, i

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.e. my discipline, we've been feeling the tremors

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of change for a while. Low enrollment in universities,

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programs closing, and yet a massive cohort nearing

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retirement. There's also projective growth, but

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not enough space or sometimes support to train

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that next generation. So if a government or institution

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wanted to build that capacity, how would they

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do it? How would they attract new students? How

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would they make sure it is diverse and a resilient

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community? Not just another rock cycle repeating

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itself. These questions aren't unique to geoscience.

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They ripple across all disciplines. Even in trades,

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we see efforts to reimagine how people see themselves

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in a role. How identity becomes part of that

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belonging. To reiterate, this episode is different.

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Because it flips the usual script. We're turning

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the scientist from the observer to the observed

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or the subject. And that's what I find fascinating

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about today's episode. It's a window into understanding

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who we are as scientists and how we identify

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with our chosen profession. For me, it started

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with volcanoes. And the images and videos from

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Katya and Maurice Kraft, a fearless duo who chased

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eruptions all around the world with more enthusiasm

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than perhaps self -preservation. Their work delivered

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awe -inspiring footage and probably inspired

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a few raised eyebrows at home when I said I wanted

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to study volcanoes too. It was also about encouragement

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from family to teachers and maybe even a touch

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of amused tolerance, if you will. During my undergrad

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at UVic, every single term paper I wrote in geoscience

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was some aspect of volcanism. But identity in

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science isn't just about passion or curiosity.

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It's shaped by mentorship, community, representation,

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and those subtle cues about who belongs. For

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students stepping into STEM, those early experiences,

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the classes they take, the people they see succeeding.

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The stories told about what it means to be a

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scientist, an astronomer, a geologist, a physicist,

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a biologist. They all influence whether they

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see themselves as part of that universe. And

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for those already in the field, identity evolves

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too. Especially when we become mentors, educators,

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collaborators. The next... guiding stars for

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others. So to help us explore this topic, please

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welcome a researcher who started out with a bachelor's

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of science and a master's of science in physics.

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Before, when doing his PhD, got it in science

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education. Currently a research associate at

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the American Museum of Natural History and a

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faculty member at the City University of New

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York, York College, Dr. Zachary Richards. Hey,

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thank you so much for having me. Before bringing

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up the paper, let's first turn the lens towards

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you. Started with a physics bachelor's of science,

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then you got a master's of science titled the

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Detection and Characterization of Extrasolar

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Planets. So I guess, what was that like? I mean,

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what was your personal evolution up to that point?

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In the words of one of my past physics professors,

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did the mathematics speak to you? Yeah, so in

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high school, I was not much of a physics person

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to begin with. I got by the skin of my teeth.

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And when I went to college, I took an introductory

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astronomy class to fulfill a general education

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requirement. On the first night, I went to the

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observatory, for extra credit, of course. I just,

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I fell in love, you know, with astronomy. I was

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up at the observatory until 3 a .m., maybe, just

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hanging out with my professor and, you know,

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looking at the stars. Between that and the way

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that he taught, it was very animated. and very

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engaging. It was that kind of a moment where

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I started to think that I really wanted to do

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astrophysics. And at the end of the semester,

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I asked my professor, how do I do what you do?

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And he said, you need to major in physics, to

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which at that time I said, well, shoot. Oh, dear

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bleep. Yeah. And so Right after that, I went

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down to my advisor and I said, I'm going to major

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in physics. And that's kind of the short story.

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And so I spent a lot of time doing outreach with

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the observatory after that. I really wanted to

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teach at the college level and, you know, become

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a professor. So that was that portion. So I guess

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it was more of a... pushing the boundaries of

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what we know or exploring the unknown, like Star

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Trek would say, instead of letting the math as

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a language write the cosmos. Because there's

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definitely multiple ways to get into physics

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and astrophysics, and I'm sure we're going to

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get into that in a moment. But I guess that's

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kind of the tact, you could say. Yeah, it was

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more just pure wonder. What's out there? It was

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a completely new world to me, and I just fell

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in love with it. It's fair. Any of us who have

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gotten a PhD in sciences have things along our

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journey that kind of take us there for sure.

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But then you shifted from just pure research,

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discovering the cosmos, to science education.

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So how did that all come about? Yeah, so after

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I received my master's degree, so I'm originally

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from New York City, and I moved back to New York

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City, and I was a little bit... well, not a little

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bit, a lot of bit, burnt out, and I needed a

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job. At that time, the only thing that really

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I saw myself doing was teaching, and so I got

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a job as an adjunct instructor teaching astronomy

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as well as a life in the universe course in physics,

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and I started teaching, and through that time,

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I met, well, then my supervisor, now colleague

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and friend, Ali, and Teaching kind of reinvigorated

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me to want to go back and actually get my PhD

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in astrophysics, because that was the goal the

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whole time. However, living in New York and needing

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to make money, most of my time was spent teaching,

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and I also made ice cream on the side. Ice cream

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on the side? Yeah, yeah. Did you happen to listen

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to an earlier episode of this season where we

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did ice cream science, too? No, no, I did not.

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But that's a really funny coincidence. So I was

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basically an ice cream chef while I adjuncted.

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The days that I wasn't teaching, I was making

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ice cream. And I started to apply to graduate

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schools again. And I kept on getting rejected.

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And the feedback that I was getting was I was

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not doing enough research in my own time. And

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I was too focused on teaching. And by the end

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of it, I think I applied four times where everybody

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said, you're teaching too much and not doing

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enough research. I could not do research, that

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much research for free. I did a little bit. But

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because I was teaching a lot and I had many conversations

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about this, on the fourth time around, it was

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recommended that since I really just wanted to

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teach at the time, I should maybe... consider

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going for a PhD in science education. And at

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the time, I begrudgingly considered the idea

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because it wasn't what I wanted to do initially.

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But over time, I came to terms with it and then

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I applied and I got in. So I went. Because I've

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always wanted to teach. When I thought of professor,

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the real thing that I was interested in was teaching.

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Is that partly because that professor that got

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you into all of this made such an impact on your

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life? You're like, that's kind of the impact

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that I want to make? Yeah, that's a big part

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of it. Yeah. But also, when I look back, education

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is a world that I know really well, because my

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mother was a teacher, and her father was also

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a teacher. Oh, so it runs in the family. a really

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lovely lesson about life has a way of working

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out for you as long as you're willing to go for

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it yeah as long as you're willing to go for it

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life has a tendency to work out for you yeah

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it just may be slightly different than the way

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you envisioned and so now i uh right now i'm

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doing a lot of research in astronomy education

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what we'll talk about later is you know how students

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start to build an identity as an astronomer.

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I'm also doing work on how can we detect students

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at risk of failing their astronomy classes, specifically

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their introductory classes, so that we can implement

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some sort of strategy for them, an intervention,

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so that they can pass their course. Specifically

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because introductory astronomy classes are the

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only Usually the only science class a regular

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student will take. We have words for those courses

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sometimes and jokes, I should say, in the different

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universities I've had. Like rocks for jocks,

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death and dinos, moons for goons. Yeah, actually,

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I don't know if we have, or at least I don't

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know of any of those for astronomy. But, you

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know, a lot of people are genuinely interested

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in astronomy. And, you know, if we can have more

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positive experiences, maybe we can have more

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individuals. you know, switch to some sort of

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STEM major. Yeah. And I'm also now, you know,

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we're starting to make my way back towards exoplanets.

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So, you know, things kind of... You can go for

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a circle for sure. Yeah. You deviate from the

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path a little bit and then you find your way.

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Okay. Well, that really brings us neatly, because

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you've already mentioned it, to the paper at

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hand and what were the main topic of today. Astronomy

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Identity Framework for Undergraduate Students

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and Researchers. And there's no better place

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to start than the first phrase I came across

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that I had no idea what it meant. And it's also

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one of my fun things that I like to do on the

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podcast, which tells you I'm really nerdy. The

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first sentence of the abstract had this phrase,

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transcendental phenomenological. I have no idea

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what that meant. I spent probably an hour trying

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to figure it out. And I kind of came to, I think,

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the right answer. But it's way outside my field.

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Can you break it down? Sure, yeah. So this paper,

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as doing research in science education, research

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can be broken down into two parts. The quantitative

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section, which is where I thrive, and then there's

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the qualitative aspect. In this particular scenario,

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qualitative means interviewing participants or

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basically having a conversation with them. And

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so one of the approaches to qualitative... research

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is phenomenology, which is what you essentially

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do to break it down in like 50 words or less.

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You interview up to about 15 or so people who

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all have experienced the same event or the same

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phenomenon. So in this case, the paper was about

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individuals majoring in astronomy or doing research

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in astronomy. So that was the phenomena that

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we were examining. So phenomenological is just

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the process of taking verbal or interview or

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writing and then breaking it down into its individual

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word parts? Yeah, exactly. So we start with people

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having the same experience. In this study, the

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data itself were the recordings or the transcripts

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of our interviews. And from there, we take the

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transcripts and we break it down. into specific

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quotes, and these quotes basically act as little

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nuggets of information that we can analyze. All

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right, what's the other word then? How does that

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modify it? Transcendental. Yeah, so it's just

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the specific kind of phenomenology, but they

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all essentially focus on just gathering people

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with a shared experience. I ask these questions

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because it's always important for people trying

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to understand peer -reviewed papers. Like, how

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do we get the data? Like, so understanding where

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the science and the data comes from is really

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important. Okay, so I think the next step for

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everyone following along is the word identity

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and what that really means. And let's try to

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broaden it out for science more in general, and

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then we'll get more into the paper. So like,

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we have our own personal identity. and who we

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think we are, what we wear, what we eat, and

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our beliefs, but what does it mean in this context?

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Yeah, so in the terms of the research, identity

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is how one sees themselves as a specific person.

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So for example, for this paper, right, well,

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just to stick with it, right, identity, we're

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looking at how individuals see themselves as

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an astronomy person. How do they see themselves

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as an astronomer? Okay, but I mean, are there

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like different identities and different scientific

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disciplines? I'm going to be really silly here

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and just lean on my Bachelor of Science here

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when I knew nothing about the world. I still

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don't, but I pretend I do for this podcast. So

00:15:11.529 --> 00:15:13.830
in geology students, they knew how to party.

00:15:13.909 --> 00:15:16.629
Like they just, I mean, their pub crawls were

00:15:16.629 --> 00:15:19.230
legendary and a good time. Physics, we went to

00:15:19.230 --> 00:15:21.190
the brewery, we skipped the tour and just drank

00:15:21.190 --> 00:15:23.370
as much beer as we possibly could in the paid

00:15:23.370 --> 00:15:25.330
hour and then went home. The engineers, they

00:15:25.330 --> 00:15:29.789
did. Engineering things? Okay. Well, it's a poor

00:15:29.789 --> 00:15:32.490
showing, but it shows the stereotypes for a university

00:15:32.490 --> 00:15:34.850
I went to, which is kind of like an identity

00:15:34.850 --> 00:15:38.230
or at least a perceived one anyway. Do factors

00:15:38.230 --> 00:15:40.850
like that pop out in analysis like this? Do people

00:15:40.850 --> 00:15:43.830
who have the mathematics speak to them have different

00:15:43.830 --> 00:15:46.649
qualities than those that are like looking for

00:15:46.649 --> 00:15:50.889
exploring the unknown? Yeah. So in the paper

00:15:50.889 --> 00:15:53.559
itself, we've... We've put together a framework

00:15:53.559 --> 00:15:57.879
which tells us what certain things lead to somebody

00:15:57.879 --> 00:16:00.139
seeing themselves. And in total, we actually

00:16:00.139 --> 00:16:04.299
have six different parts, and they are broken

00:16:04.299 --> 00:16:08.860
up into... internal influences and external influences.

00:16:09.100 --> 00:16:11.919
And on the external influences side, one of those

00:16:11.919 --> 00:16:15.500
parts is actually socializing. So the pub crawls,

00:16:15.500 --> 00:16:18.759
the brewery tours, the random pranks engineers

00:16:18.759 --> 00:16:21.500
pull, like putting cars on top of buildings or

00:16:21.500 --> 00:16:25.320
whatever the heck they do. But the informal parts

00:16:25.320 --> 00:16:32.230
of socializing did not really come out. in this

00:16:32.230 --> 00:16:36.570
study. But one could take a guess that that does

00:16:36.570 --> 00:16:40.809
play a part. But the socializing that informal

00:16:40.809 --> 00:16:43.649
socializing definitely played a part. Details

00:16:43.649 --> 00:16:48.090
were not explored about that part. However, socializing

00:16:48.090 --> 00:16:51.350
with peers and with other faculty members definitely

00:16:51.350 --> 00:16:55.309
plays a role because socializing One allows you

00:16:55.309 --> 00:16:59.370
to see that whatever struggles you're having,

00:16:59.509 --> 00:17:03.289
you may not necessarily be alone. And that's

00:17:03.289 --> 00:17:05.130
something that actually did come out with our

00:17:05.130 --> 00:17:09.529
participants. And so that helps. But also talking

00:17:09.529 --> 00:17:11.730
to professors, let's say, or other faculty members,

00:17:11.950 --> 00:17:16.230
this allows you to see what it's like to be an

00:17:16.230 --> 00:17:18.509
astronomer, which can lead to career expectations,

00:17:18.630 --> 00:17:20.809
which is also part of the framework. And you

00:17:20.809 --> 00:17:23.420
can also get recognition from... from faculty

00:17:23.420 --> 00:17:27.099
members as well, which are all the other two

00:17:27.099 --> 00:17:30.759
of the external parts. So that would be career

00:17:30.759 --> 00:17:34.740
expectations. So what do you expect your career

00:17:34.740 --> 00:17:37.799
or future to be like as an astronomer? Do you

00:17:37.799 --> 00:17:41.579
see yourself doing these tasks? And recognition

00:17:41.579 --> 00:17:45.779
is getting recognized as the astronomy person,

00:17:45.900 --> 00:17:49.700
let's say. For example, in an informal recognition.

00:17:50.640 --> 00:17:53.079
And that would be your family and friends, you

00:17:53.079 --> 00:17:55.079
know, thinking you are the astronomy person at

00:17:55.079 --> 00:17:57.359
any time. You know, there's something on the

00:17:57.359 --> 00:18:00.619
news, they go and ask you, right, about it. And

00:18:00.619 --> 00:18:02.460
then, you know, there's a formal recognition,

00:18:02.759 --> 00:18:05.059
you know, being recognized, you know, getting

00:18:05.059 --> 00:18:07.740
recognition, let's say, from doing a good job

00:18:07.740 --> 00:18:10.019
on your research project, right, from other peers

00:18:10.019 --> 00:18:13.220
and faculty members. And so between career expectations,

00:18:13.519 --> 00:18:16.559
recognition, and socializing, that's the external

00:18:16.559 --> 00:18:20.190
part. And then the internal part is being interested

00:18:20.190 --> 00:18:23.390
in astronomy, competence, so do you think you

00:18:23.390 --> 00:18:26.690
can do the work of an astronomer, and a sense

00:18:26.690 --> 00:18:29.230
of belonging within the astronomical community

00:18:29.230 --> 00:18:33.470
as a whole. And those are the six components.

00:18:33.930 --> 00:18:36.470
What we see is, at least for getting interested

00:18:36.470 --> 00:18:39.289
in astronomy, some people become interested in

00:18:39.289 --> 00:18:42.390
their general education classes. One participant

00:18:42.390 --> 00:18:45.210
noted that they had no idea that they could get

00:18:45.210 --> 00:18:49.349
a job in astronomy took their intro astronomy

00:18:49.349 --> 00:18:52.150
course at a community college. But what we also

00:18:52.150 --> 00:18:54.869
see is that people become interested in astronomy

00:18:54.869 --> 00:18:58.609
usually at young ages because there's some connection,

00:18:58.750 --> 00:19:02.250
a familial connection. Maybe one of their parents

00:19:02.250 --> 00:19:07.150
took them out and showed them some of the constellations.

00:19:07.250 --> 00:19:09.670
And what's great about astronomy is that unlike

00:19:09.670 --> 00:19:13.210
most sciences, you don't really need any equipment

00:19:13.210 --> 00:19:16.589
to do it. All you need to do is... is look up.

00:19:16.630 --> 00:19:19.230
So it's really accessible. For sure. I have a

00:19:19.230 --> 00:19:20.849
couple more questions that I'm going to try to

00:19:20.849 --> 00:19:23.309
remember to get back to round two as we get a

00:19:23.309 --> 00:19:25.970
little further in. But I think it's kind of important

00:19:25.970 --> 00:19:29.170
to jump into some of the more technical parts

00:19:29.170 --> 00:19:32.809
of the paper. So this paper focused on marginalized

00:19:32.809 --> 00:19:36.509
communities in astronomy. So by focusing on this

00:19:36.509 --> 00:19:39.789
subset of people, what was your broader goal?

00:19:40.410 --> 00:19:43.769
Well, so it was not intentional. Wait. Yeah.

00:19:44.140 --> 00:19:48.400
Yeah, it was not the initial intent to study

00:19:48.400 --> 00:19:51.220
individuals who came from an underrepresented

00:19:51.220 --> 00:19:54.319
group. So the way we recruited by reaching out

00:19:54.319 --> 00:19:59.539
to physics and astronomy majors from two universities

00:19:59.539 --> 00:20:02.819
in New York State, and I cannot say which ones,

00:20:02.900 --> 00:20:05.480
I need to protect identities and all that jazz,

00:20:05.680 --> 00:20:09.119
and so this was open to anybody of any gender,

00:20:09.400 --> 00:20:14.299
any ethnic group. It just so happened the individuals

00:20:14.299 --> 00:20:18.220
who responded and wanted to participate in the

00:20:18.220 --> 00:20:23.240
study all happened to be from one of the underrepresented

00:20:23.240 --> 00:20:27.920
groups. So I think you would call that self -selection

00:20:27.920 --> 00:20:31.779
bias, kind of? Kind of. Like, I mean, the people

00:20:31.779 --> 00:20:33.799
are choosing to volunteer and they're choosing

00:20:33.799 --> 00:20:37.230
to volunteer from underrepresented groups. And

00:20:37.230 --> 00:20:40.630
I'm wondering what that says about the process

00:20:40.630 --> 00:20:43.349
in and of itself. I'm pretty sure this takes

00:20:43.349 --> 00:20:45.190
it beyond the paper because this wasn't really

00:20:45.190 --> 00:20:47.609
talked about. But the fact that underrepresented

00:20:47.609 --> 00:20:50.930
groups were more likely to reach out, even though

00:20:50.930 --> 00:20:54.029
there's less of them, than the well -represented,

00:20:54.349 --> 00:20:58.269
like I would represent a well -represented group.

00:20:59.630 --> 00:21:03.930
Why the disparity there? I know this goes beyond

00:21:03.930 --> 00:21:05.769
your paper, but... The questions come up, so

00:21:05.769 --> 00:21:09.329
are you willing to opine on it? Yeah, so I guess

00:21:09.329 --> 00:21:14.130
maybe you were going to ask this later, but I'm

00:21:14.130 --> 00:21:15.450
just going to say this. Just go for it, go for

00:21:15.450 --> 00:21:18.789
it. So one way that studying identity, one of

00:21:18.789 --> 00:21:22.130
its implications is, one, it helps understand

00:21:22.130 --> 00:21:24.970
how people start to see themselves as astronomers

00:21:24.970 --> 00:21:28.390
or how do they feel like they belong, for example,

00:21:28.509 --> 00:21:32.549
right? It can help develop or guide, I should

00:21:32.549 --> 00:21:37.009
say, policy changes to make departments or the

00:21:37.009 --> 00:21:41.109
community more diverse more inclusive and I think

00:21:41.109 --> 00:21:44.309
these individuals they've had negative experiences

00:21:44.309 --> 00:21:47.690
and nothing has been done about their experiences

00:21:47.690 --> 00:21:51.250
so telling their story right can help get it

00:21:51.250 --> 00:21:53.990
out there and we can use that to help change

00:21:53.990 --> 00:21:57.529
the policies and you know make everything more

00:21:57.529 --> 00:22:01.369
welcoming more inclusive more diverse for sure

00:22:01.369 --> 00:22:04.950
and I Didn't put this in my show notes to give

00:22:04.950 --> 00:22:06.589
to you because I wasn't sure I was going to bring

00:22:06.589 --> 00:22:08.930
it up. But you've kind of touched on it right

00:22:08.930 --> 00:22:11.970
here is that I think when I was reading the paper,

00:22:12.049 --> 00:22:15.289
I read one line that a professor at one point

00:22:15.289 --> 00:22:18.769
told a young woman, like, don't bother with physics

00:22:18.769 --> 00:22:20.750
because you're a woman. And I was just read that

00:22:20.750 --> 00:22:28.210
and went, oh, boy. Like, wow. Like, I probably.

00:22:28.829 --> 00:22:31.710
I mean, me as an adult today, not the 20 -year

00:22:31.710 --> 00:22:34.230
-old in school, would very much instantaneously

00:22:34.230 --> 00:22:36.130
turn around and complain about this person to

00:22:36.130 --> 00:22:38.289
the highest echelons of a department. I don't

00:22:38.289 --> 00:22:40.769
know if I would have when I was 20, but, you

00:22:40.769 --> 00:22:43.750
know, with age comes wisdom. So that's kind of

00:22:43.750 --> 00:22:46.410
what you're saying by negative experiences, that

00:22:46.410 --> 00:22:51.430
they feel one of the best ways is through engaging

00:22:51.430 --> 00:22:53.470
something like this in the hopes that their story

00:22:53.470 --> 00:22:56.210
can be told and things can be changed. yeah yeah

00:22:56.210 --> 00:23:00.349
and yeah that is definitely one um yes i yeah

00:23:00.349 --> 00:23:04.529
um it's speechless it's hard to even say anything

00:23:04.529 --> 00:23:07.509
about because you're just like holy smokes like

00:23:07.509 --> 00:23:10.529
i thought this isn't what you know pick an age

00:23:10.529 --> 00:23:16.130
in the past like we're come on yeah there's surprisingly

00:23:16.130 --> 00:23:22.109
there's still a lot of um gender and uh racial

00:23:22.109 --> 00:23:25.319
bias that that goes on, you know, and sometimes

00:23:25.319 --> 00:23:29.740
it's just ignored. Yeah, I have my own, I don't

00:23:29.740 --> 00:23:32.019
want to call it a background, but experiences

00:23:32.019 --> 00:23:34.240
because I was part of the teaching support staff

00:23:34.240 --> 00:23:36.779
union at my university. So we would get a lot

00:23:36.779 --> 00:23:38.599
of the dirt that was coming through the university

00:23:38.599 --> 00:23:43.819
of things like this. And again, it's all on,

00:23:43.839 --> 00:23:46.099
you know, backstory of you're not allowed to

00:23:46.099 --> 00:23:49.039
really talk about it because it's these personal

00:23:49.039 --> 00:23:52.380
things, right? So yes. For the listener, these

00:23:52.380 --> 00:23:55.420
things really do happen. And being able to bring

00:23:55.420 --> 00:23:58.079
these to light in ways that keep people protected

00:23:58.079 --> 00:24:00.680
and perhaps change policy is really, really important

00:24:00.680 --> 00:24:04.079
to the health of our individual disciplines as

00:24:04.079 --> 00:24:07.339
well, for sure. That was kind of an unplanned

00:24:07.339 --> 00:24:10.200
dark turn, but I think that's part of what the

00:24:10.200 --> 00:24:12.460
research is really all about and why this paper

00:24:12.460 --> 00:24:16.819
or research avenues are really important. Yeah,

00:24:16.819 --> 00:24:22.160
the science is... We need a change, maybe a first

00:24:22.160 --> 00:24:25.200
step or continuing step, you know, in order to

00:24:25.200 --> 00:24:28.279
help make astronomy, you know, more inclusive,

00:24:28.359 --> 00:24:31.359
you know, more comfortable for people of different

00:24:31.359 --> 00:24:35.559
backgrounds, maybe even extends past astronomy

00:24:35.559 --> 00:24:39.660
and into other sciences. Yeah, for sure. This

00:24:39.660 --> 00:24:43.900
is not an astronomy only problem. I guess. Just

00:24:43.900 --> 00:24:45.839
to kind of move on a little bit, I recognize

00:24:45.839 --> 00:24:48.599
this study is qualitative, so descriptive in

00:24:48.599 --> 00:24:50.599
its nature, but I also noticed that the sample

00:24:50.599 --> 00:24:54.119
size is quite small. I have no idea what a large

00:24:54.119 --> 00:24:58.279
sample size would be for a study like this. So

00:24:58.279 --> 00:25:02.299
is this a small, medium, large? Yeah, so literature

00:25:02.299 --> 00:25:05.559
suggests for a study like this, a sample size

00:25:05.559 --> 00:25:09.680
will be between 10 and 15 individuals. So it

00:25:09.680 --> 00:25:13.009
is... Right on target. Usually with qualitative

00:25:13.009 --> 00:25:16.630
studies, the sample size is much lower than any

00:25:16.630 --> 00:25:20.089
sort of quantitative study. You know, in quantitative,

00:25:20.329 --> 00:25:23.190
you can have thousands, hundreds of thousands

00:25:23.190 --> 00:25:26.470
of data points. But it's really difficult to,

00:25:26.609 --> 00:25:29.490
I cannot stress this enough, how difficult it

00:25:29.490 --> 00:25:34.829
can be to actually recruit people for a study.

00:25:34.950 --> 00:25:37.849
And there are definitely studies out there that

00:25:37.849 --> 00:25:41.279
have 30 people. let's say, that they've interviewed,

00:25:41.400 --> 00:25:45.339
which is quite high. And the issue really is

00:25:45.339 --> 00:25:49.900
getting people to commit to it because you can

00:25:49.900 --> 00:25:52.180
have an email exchange with somebody who has

00:25:52.180 --> 00:25:56.460
agreed to be interviewed and they decide to cancel

00:25:56.460 --> 00:26:00.980
or decide not to show up. And, you know, that's

00:26:00.980 --> 00:26:05.299
kind of the, that's part of it. So usually double

00:26:05.299 --> 00:26:09.769
digits is pretty good. Fair. So we've already

00:26:09.769 --> 00:26:13.089
mentioned, just to reiterate off the top, that

00:26:13.089 --> 00:26:16.289
the data is just so that we don't lose it in

00:26:16.289 --> 00:26:17.930
the churn of everything. Because this was my

00:26:17.930 --> 00:26:19.269
next question, but we've already covered it.

00:26:19.329 --> 00:26:21.670
The data is collected by having these interviews,

00:26:21.910 --> 00:26:25.069
recording those interviews, and then analyzing

00:26:25.069 --> 00:26:28.170
that. But playing with data sets that are not

00:26:28.170 --> 00:26:31.109
just numbers, how do you achieve a standardization?

00:26:32.250 --> 00:26:34.829
look at how effective drugs are, you would do

00:26:34.829 --> 00:26:36.950
like a double blind study with the real thing

00:26:36.950 --> 00:26:40.309
and a placebo. In some sciences, they use statistical

00:26:40.309 --> 00:26:46.769
measures. So how do you determine or talk about

00:26:46.769 --> 00:26:48.990
what is actually, you know, really important

00:26:48.990 --> 00:26:52.490
out of this data set? Yeah. So the way that we,

00:26:52.549 --> 00:26:55.829
I'll start with how we analyze the transcripts.

00:26:55.829 --> 00:26:59.990
So we use something called open coding, which

00:26:59.990 --> 00:27:02.400
basically means We don't know what we're going

00:27:02.400 --> 00:27:07.079
to find. And as we go through the transcripts,

00:27:07.079 --> 00:27:11.299
we are going to make up our codes. For example,

00:27:11.359 --> 00:27:14.460
an example of a code would be showing interest

00:27:14.460 --> 00:27:19.299
in astronomy, for example. And so we do that

00:27:19.299 --> 00:27:22.500
and we look at all the different possible codes

00:27:22.500 --> 00:27:27.480
that can come up. And then we go back and we

00:27:27.480 --> 00:27:31.009
refine those codes. And then what we did was

00:27:31.009 --> 00:27:34.250
axial coding. So what we did was we looked at

00:27:34.250 --> 00:27:37.730
what the codes were saying, and we looked at

00:27:37.730 --> 00:27:40.730
if they were having a positive, negative, or

00:27:40.730 --> 00:27:44.630
neutral effect. So, for example, going back to

00:27:44.630 --> 00:27:48.430
the participant you mentioned before, that was

00:27:48.430 --> 00:27:52.970
coded as faculty interaction, and then it was

00:27:52.970 --> 00:27:56.809
coded as negative. Well, obviously. Right. And

00:27:56.809 --> 00:28:00.880
then we go back. And we refine this again to

00:28:00.880 --> 00:28:03.500
break it up into overall themes. So that's the

00:28:03.500 --> 00:28:07.400
very general way that we go about analyzing the

00:28:07.400 --> 00:28:09.980
transcripts. And so how do we, now to actually

00:28:09.980 --> 00:28:13.839
answer your question, so they're analyzed separately

00:28:13.839 --> 00:28:19.000
by, in our case, there's two of us. So they were

00:28:19.000 --> 00:28:21.700
analyzed separately. And then we would come back

00:28:21.700 --> 00:28:24.059
and have discussions about the open codes, the

00:28:24.059 --> 00:28:27.380
axial codes, the themes, right? And we would

00:28:27.380 --> 00:28:29.880
see where we would agree and disagree. And then

00:28:29.880 --> 00:28:32.599
we would go back, do it again, and come back

00:28:32.599 --> 00:28:36.000
and discuss what was different, why was it different.

00:28:36.680 --> 00:28:40.960
Until coded everything, the whole idea is to

00:28:40.960 --> 00:28:44.559
get an inter -rater reliability score of 90 %

00:28:44.559 --> 00:28:49.039
or higher. And so we did that until we hit the

00:28:49.039 --> 00:28:52.819
score of 90. I forget the exact number. It doesn't

00:28:52.819 --> 00:28:56.140
matter. Question, though. You said this is an

00:28:56.140 --> 00:28:58.799
iterative process. So I guess there's two parts

00:28:58.799 --> 00:29:01.059
to this. First off, the simple one. Was there

00:29:01.059 --> 00:29:03.559
ever a time where you guys were within the threshold

00:29:03.559 --> 00:29:05.599
immediately and you didn't have to repeat it?

00:29:06.039 --> 00:29:09.519
That would have been the last one. Yeah. So it

00:29:09.519 --> 00:29:12.220
took us, I think, about maybe six or eight times.

00:29:12.500 --> 00:29:18.079
Okay. Yeah. Wow. And part of what you just described

00:29:18.079 --> 00:29:20.400
is also part of the explanation, I think, for

00:29:20.400 --> 00:29:24.789
the next question. is dealing with bias. Because

00:29:24.789 --> 00:29:29.430
you have two people here, and how do you remove

00:29:29.430 --> 00:29:32.670
a personal bias from it? There must be a little

00:29:32.670 --> 00:29:35.069
bit more to it than just two people doing it

00:29:35.069 --> 00:29:38.950
separately. Yeah, it can be up to, there could

00:29:38.950 --> 00:29:41.950
be more people involved. Was one of the people

00:29:41.950 --> 00:29:44.089
doing the analysis also doing the interviewing?

00:29:44.990 --> 00:29:50.539
Yeah, we both interviewed as well. Okay. not

00:29:50.539 --> 00:29:55.359
to make it overly biased. So usually in these

00:29:55.359 --> 00:29:58.839
kinds of unqualitative work, let's say, the authors

00:29:58.839 --> 00:30:05.819
explicitly state what their biases are. So we

00:30:05.819 --> 00:30:10.079
have a section in the paper stating what our

00:30:10.079 --> 00:30:15.319
biases are. What subjects do we teach, for example,

00:30:15.319 --> 00:30:17.779
because that can have an effect. I read that.

00:30:17.859 --> 00:30:19.680
To be fair, I read that and was kind of confused

00:30:19.680 --> 00:30:22.180
why that was there, and now I know. Yeah, or

00:30:22.180 --> 00:30:26.559
did we happen to know any of them beforehand?

00:30:27.400 --> 00:30:30.859
For example, as a way to be clear and transparent

00:30:30.859 --> 00:30:35.680
about the biases and how they play into the research.

00:30:35.839 --> 00:30:42.119
So if you read the paper, you'll see what their

00:30:42.119 --> 00:30:45.539
biases are and how they kind of play into...

00:30:46.160 --> 00:30:48.220
how the research was conducted. But the important

00:30:48.220 --> 00:30:52.819
thing is to be very explicit and state your biases,

00:30:53.220 --> 00:30:55.380
which would make you, you know, you have to be

00:30:55.380 --> 00:30:59.660
very honest with yourself and very self -aware

00:30:59.660 --> 00:31:03.740
of the decisions you make while interviewing.

00:31:04.579 --> 00:31:07.420
For sure. I guess this is another question. I

00:31:07.420 --> 00:31:10.460
feel like I'm going down a rabbit hole. Knowing

00:31:10.460 --> 00:31:14.230
oneself sometimes is not... something academics

00:31:14.230 --> 00:31:17.970
are particularly good at. So how often does that

00:31:17.970 --> 00:31:22.650
not get done properly in your field? That's an

00:31:22.650 --> 00:31:25.690
excellent question. To be honest, I'm not 100

00:31:25.690 --> 00:31:30.390
% sure. So within the field of astronomy education

00:31:30.390 --> 00:31:34.750
research itself, there is not much qualitative

00:31:34.750 --> 00:31:37.950
work that's compared to the amount of quantitative

00:31:37.950 --> 00:31:40.990
work because most of the time the individuals

00:31:40.990 --> 00:31:43.349
performing their research are trained astronomers

00:31:43.349 --> 00:31:46.829
who have gained some interest in the education

00:31:46.829 --> 00:31:49.569
side. And so they are trained astronomers first.

00:31:49.849 --> 00:31:52.190
Right. So they're using the mathematics to speak

00:31:52.190 --> 00:31:55.289
for them. And you're trying to let the words

00:31:55.289 --> 00:32:00.390
speak. Yeah, yeah. I guess. Yeah. So the transcripts

00:32:00.390 --> 00:32:02.809
and everything that you put together into this

00:32:02.809 --> 00:32:06.970
paper, what's the takeaway home message out of

00:32:06.970 --> 00:32:11.069
it all? And I guess... kind of tangentially as

00:32:11.069 --> 00:32:14.410
a touchy -feely type sort of thing. How did doing

00:32:14.410 --> 00:32:17.289
this research make you feel about astronomy writ

00:32:17.289 --> 00:32:21.789
large in your neighborhood? Yeah, well, there

00:32:21.789 --> 00:32:26.789
were a lot of things that hit home. I did find

00:32:26.789 --> 00:32:29.329
that there were a lot of similarities with myself

00:32:29.329 --> 00:32:33.349
and what everybody was talking about, specifically

00:32:33.349 --> 00:32:37.539
with how they got interested in astronomy. One

00:32:37.539 --> 00:32:39.779
participant made mention of their introductory

00:32:39.779 --> 00:32:44.660
astronomy course. That was me. People, I should

00:32:44.660 --> 00:32:49.980
say participants, also made mention of looking

00:32:49.980 --> 00:32:53.180
up or having a family member show them something

00:32:53.180 --> 00:32:56.220
of the night sky. When I was a kid, for example,

00:32:56.220 --> 00:32:59.519
my father used to show me the Big Dipper and

00:32:59.519 --> 00:33:03.740
the Little Dipper, or just looking up. Astronomy

00:33:03.740 --> 00:33:06.539
is great because... It's the most accessible.

00:33:06.660 --> 00:33:09.440
All you need to do is just, you know, look up.

00:33:09.440 --> 00:33:13.200
It's there. So, yeah, I did find a lot of similarities,

00:33:13.200 --> 00:33:18.380
and it definitely inspired me to continue doing

00:33:18.380 --> 00:33:21.920
this kind of, you know, pursuing this area so

00:33:21.920 --> 00:33:27.680
that we can make changes and also get, for me

00:33:27.680 --> 00:33:31.000
specifically, get back out to doing outreach.

00:33:31.899 --> 00:33:34.779
Because a lot of the time, most of the times

00:33:34.779 --> 00:33:36.920
people interact, the way that people interact

00:33:36.920 --> 00:33:41.559
with astronomy is not formal. It's not really

00:33:41.559 --> 00:33:45.240
part of any educational curriculum. It's usually

00:33:45.240 --> 00:33:48.299
lumped in with earth sciences, let's say. So

00:33:48.299 --> 00:33:51.119
most of the people interact with it in an informal

00:33:51.119 --> 00:33:55.099
environment. And if we want to start to recruit

00:33:55.099 --> 00:33:59.480
more individuals, or we want to be able to make...

00:33:59.720 --> 00:34:03.279
To diversify, we need to start doing more outreach

00:34:03.279 --> 00:34:06.799
to get people excited about astronomy and then

00:34:06.799 --> 00:34:10.500
to bring them in. Because sometimes it's just

00:34:10.500 --> 00:34:14.320
it's a little bit hard in once you're in college,

00:34:14.519 --> 00:34:18.380
you know, a multitude of reasons. In other words,

00:34:18.380 --> 00:34:21.519
getting to the people before they get to college,

00:34:21.579 --> 00:34:25.239
like your high schoolers or even elementary school,

00:34:25.340 --> 00:34:27.800
right? Like get them thinking that this is even

00:34:27.800 --> 00:34:30.789
a possibility. before they get to that stage.

00:34:31.449 --> 00:34:36.369
Yeah, it would be nice to have it known that

00:34:36.369 --> 00:34:39.070
they can actually pursue this. And if we can

00:34:39.070 --> 00:34:42.670
get the parents on board through informal outreach

00:34:42.670 --> 00:34:45.409
events, let's say, have them doing stuff with

00:34:45.409 --> 00:34:48.469
their children. It's almost like you need a museum

00:34:48.469 --> 00:34:51.369
that you work at to really be able to do something

00:34:51.369 --> 00:34:56.880
like this. Yeah, almost, yeah. So that's a segue

00:34:56.880 --> 00:34:59.019
is like, okay, the future, where does this go?

00:34:59.139 --> 00:35:02.500
Like, can you use the museum to help get this

00:35:02.500 --> 00:35:07.420
goal moving as some respects? Yeah. Yeah. So

00:35:07.420 --> 00:35:11.800
this focused on, yeah, like undergraduates. Yeah,

00:35:11.880 --> 00:35:16.239
we can definitely use the museum and expand on

00:35:16.239 --> 00:35:18.780
this. I do have ideas. I don't want to necessarily

00:35:18.780 --> 00:35:22.219
get scooped. Yeah, it's funny how that works.

00:35:22.969 --> 00:35:24.429
It's always a problem when you have a whole bunch

00:35:24.429 --> 00:35:26.030
of other people and you know you have a pretty

00:35:26.030 --> 00:35:28.230
good story and you want to talk about it, but

00:35:28.230 --> 00:35:31.570
you're like, oh, if I talk about it too loudly

00:35:31.570 --> 00:35:33.630
and I'm not quite ready to put pen to paper,

00:35:33.769 --> 00:35:38.030
I'm potentially sabotaging my own work. It's

00:35:38.030 --> 00:35:40.610
rough because science is built on this ability

00:35:40.610 --> 00:35:43.389
to share results, but the reality of it is that

00:35:43.389 --> 00:35:46.269
you also want to be able to take these ideas

00:35:46.269 --> 00:35:51.510
to as far as you can. It's a tricky thing, for

00:35:51.510 --> 00:35:54.750
sure. Oh yeah, most definitely. I think people

00:35:54.750 --> 00:35:58.250
under -appreciate that when you're not in sciences.

00:35:59.289 --> 00:36:03.309
Yeah, but the research can definitely be expanded.

00:36:03.710 --> 00:36:06.530
It doesn't necessarily have to always be qualitative.

00:36:07.389 --> 00:36:10.449
There is a way to do this quantitatively. Yeah,

00:36:10.449 --> 00:36:13.389
is that going to be your next step, is to broaden

00:36:13.389 --> 00:36:17.130
this into quantitative spheres? Yeah, that's

00:36:17.130 --> 00:36:20.800
currently... currently working on that awesome

00:36:20.800 --> 00:36:25.940
yeah okay so now we've covered everything and

00:36:25.940 --> 00:36:28.619
we're almost to the traditional last question

00:36:28.619 --> 00:36:34.139
time um feared and celebrated last question but

00:36:34.139 --> 00:36:36.699
before we do that um is there anything you want

00:36:36.699 --> 00:36:40.360
to call out or make mention of i don't know Anything

00:36:40.360 --> 00:36:44.000
at all, future work, past work, colleagues, anything?

00:36:44.380 --> 00:36:46.480
Oh, I mean, sure. I mean, look, I could definitely

00:36:46.480 --> 00:36:50.320
not have been where I am now without my family.

00:36:50.639 --> 00:36:54.780
My parents, specifically, they've done more than

00:36:54.780 --> 00:36:59.679
they can ever know. And I can't necessarily put

00:36:59.679 --> 00:37:02.579
that into words, you know. Also definitely want

00:37:02.579 --> 00:37:04.880
to thank my friend and colleague, Allie, because

00:37:04.880 --> 00:37:08.250
she was, you know, kind of the one who... really

00:37:08.250 --> 00:37:11.730
got me to move this way. None of this would have

00:37:11.730 --> 00:37:15.750
been possible without her either. And also my

00:37:15.750 --> 00:37:20.949
PhD advisor, Angela. So this was actually part

00:37:20.949 --> 00:37:25.050
of my dissertation. Angela is an amazing advisor.

00:37:25.610 --> 00:37:29.489
12 out of 10. Absolutely fantastic. She's great.

00:37:30.090 --> 00:37:33.349
Awesome. Okay. So now for the traditional last

00:37:33.349 --> 00:37:38.860
question. Tell us your favorite. Science joke.

00:37:39.739 --> 00:37:43.920
Okay. My favorite science joke. So, what did

00:37:43.920 --> 00:37:46.940
the sun say when the moon leaned in to kiss it?

00:37:47.519 --> 00:37:55.460
I don't know. Eek! Lips. Oh, these are so great.

00:37:55.659 --> 00:37:57.880
Some of them, they're so terrible. They're awesome.

00:37:58.000 --> 00:38:00.159
And some of them are so awesome, they're terrible.

00:38:00.659 --> 00:38:04.239
Yes. It always takes people. I tell this to my

00:38:04.239 --> 00:38:07.739
students all the time. Hopefully you get more

00:38:07.739 --> 00:38:09.820
laughter than I ever got. Every time I told a

00:38:09.820 --> 00:38:11.719
joke in front of 300 people, you could hear a

00:38:11.719 --> 00:38:14.519
pin drop until I say it was like, oh, come on,

00:38:14.519 --> 00:38:16.380
guys. I know it was bad, but was it really that

00:38:16.380 --> 00:38:18.260
bad? And then everybody would start laughing.

00:38:18.360 --> 00:38:22.360
And I never understood that. That's my favorite.

00:38:22.679 --> 00:38:25.260
All right. Well, thanks for being on. And thank

00:38:25.260 --> 00:38:27.199
you so much for having me. Check out the show

00:38:27.199 --> 00:38:29.960
notes for the access to the paper and the museum

00:38:29.960 --> 00:38:32.409
and everything else. So. I'll see you guys again

00:38:32.409 --> 00:38:34.289
in two weeks. This is the normal time of the

00:38:34.289 --> 00:38:35.849
show when I say, if you haven't already done

00:38:35.849 --> 00:38:39.110
so, subscribe, leave a rating, poke me on social

00:38:39.110 --> 00:38:42.650
media. In fact, just hopefully, I may have gotten

00:38:42.650 --> 00:38:45.170
a really cool guest that'll come on in the new

00:38:45.170 --> 00:38:48.590
year from social media interaction. Amazing.

00:38:49.150 --> 00:38:53.289
And next one is a Christmas special of sorts,

00:38:53.429 --> 00:38:56.130
but don't worry, it's not actually about Christmas.

00:38:56.670 --> 00:39:01.920
I'll see you in two weeks. In the world so chaotic,

00:39:01.940 --> 00:39:07.260
so misbehaved. Echoes of melodies remind us it's

00:39:07.260 --> 00:39:14.159
always. Colors weave stories painting the sky.

00:39:17.239 --> 00:39:34.679
Swaying to rhythms as the galaxies fly by. our

00:39:34.679 --> 00:39:42.539
bones through this melodic maze our minds explore

00:39:42.539 --> 00:39:49.780
chasing down wonders always seeking
