I’m very belatedly joining the Praxis Fellows blog after more than a semester of meaning to write this post and not writing it. Let me start with the word that has been keeping me busy instead.

Prosopopoeia

Pro-so-po-PEE-a. It comes from the Greek prosopon (“face,” “mask”) and poiein (“to make”), and it means, roughly, to give a face to something that doesn’t have one—or more precisely, to give speech to something that cannot speak. (The Greek word for “make” is also where we get the word “poem”—literally “a made thing.”) When a poet makes a dead person talk, that’s prosopopoeia. When the poet makes the wind talk, or a river, or a nation— prosopopoeia. It’s one of the oldest tricks in the rhetorical toolkit, and one of the strangest: the fiction that things which have no voice—or rather, a voice which we are not accustomed to listening for—can be “given” one by the writer.

What I’d like to do in this post is walk through a few examples of prosopopoeia to give you a sense of why this figure fascinates me and why I think it matters so much.

A courtroom ghost

Let’s begin in a Roman courtroom. In 56 BCE, Cicero was defending a young man named Marcus Caelius Rufus against charges of political violence. Cicero’s strategy was to reframe the whole prosecution as the scheme of a scorned lover—Clodia Metelli, a powerful patrician widow who had been Caelius’s mistress. To discredit Clodia, Cicero did something audacious: he announced that he would summon from the dead her own ancestor, Appius Claudius Caecus—the famous blind censor who built the Via Appia, Rome’s first great road—and let him address her directly.

What follows is one of the most celebrated prosopopoeiae in classical rhetoric. Cicero assumes Appius’s voice directly and has him thunder at Clodia: Woman, what business have you with Caelius? What business with a young boy? The address is deliberately humiliating. The Latin word Cicero uses, “mulier” (“Woman!”), strips Clodia of her patrician dignity. The jurors know these are Cicero’s words, not Appius’s, but when placed in his mouth they take on, almost by alchemy, a new kind of power. Prosopopoeia, in this instance, is able to create a sense of moral authority, seemingly out of thin air.

A silent urn’s subversive speech

If the Cicero example shows prosopopoeia as a deliberate rhetorical strategy, Keats’s “Ode on a Grecian Urn” shows how the figure can be a force of destabilization—how the question of who is speaking can even become unanswerable.

You probably know the poem’s famous last lines: “Beauty is truth, truth beauty.” But here are the closing lines, in the version most modern anthologies print:

When old age shall this generation waste, Thou shalt remain, in midst of other woe Than ours, a friend to man, to whom thou say’st, “Beauty is truth, truth beauty,” —that is all Ye know on earth, and all ye need to know.

With the quotation marks around the phrase “Beauty is truth, truth beauty,” it seems quite clear that the urn is given a chance to speak and offer its profound metaphysical proposition on the nature of beauty and truth. The trouble is that those quotation marks do not appear in transcripts of the poem made by Keats’s friends, nor do they appear in other printed versions. This has led to major critical disagreement over how much speech can really be attributed to the urn. Are the lines “Beauty is truth, truth beauty,” said by the urn with the rest attributed to the lyric speaker of the poem or is the urn meant to be saying the entirety of the last two lines? Without any quotation marks indicating who is saying what, is the “ye” in the final line addressing the speaker of the poem, the readers of the poem, the urn, or the painted figures on the urn itself?

The instability of the speaker gives way to an instability of tone. Is the statement about beauty and truth a profound metaphysical proposition? Or is it a comic overstatement representing the naive and narrow point of view of the urn? The shifting quotation marks across manuscripts and editions are the material trace of a question prosopopoeia always raises: when we give speech to something that cannot speak, whose voice are we really hearing? And how exactly are we meant to hear them?

The sled dog, the bee, and the pig

This is where my dissertation comes in. The first chapter focuses on what I’m calling “animal persona poems”—contemporary poems written from the perspective of nonhuman animals. These poems occupy a strange position relative to prosopopoeia. Strictly speaking, they’re dramatic monologues: a poet assumes a character and speaks as that character, the way Browning speaks as the Duke of Ferrara in “My Last Duchess.” But the character is a sled dog, or a bee, or a pig. And the fact that the character is an animal changes everything about how the ventriloquism works.

Consider Timothy Donnelly’s “Malamute,” from his collection The Problem of the Many (2019). The poem is written in long, winding, syntactically complex sentences—each stanza essentially one sprawling clause accumulating subordinate phrases. Every verse paragraph opens with the same refrain: “When I was a dog I pulled the sled with the other dogs.” That past tense is crucial. This isn’t a dog speaking in the moment; it’s a being that once inhabited a dog’s body and now reflects from some other vantage point. The dog pulled the sled with the other dogs “who didn’t know I didn’t know”—it conceals its disquiet, its not-belonging, while the elaborate syntax enacts an interiority far exceeding anything we’d attribute to a naturalistic animal consciousness. The poem doesn’t pretend to offer transparent access to a dog’s mind. It foregrounds its own artifice.

Or take “As Bee,” by Paula Bohince. Here the speaker is a bee—polite, reflective, stoically aware of its own brevity. “This is my first and only spring on earth. / I get it.” The bee wonders parenthetically about its own mother—”(did I have one?)”—which captures both biological reality (bees don’t have individual mothers in any meaningful sense) and deeper emotional uncertainty. What strikes me about this poem is the “As” in the title, which marks the poem as a performance, a speaking-as, not a speaking-from.

And there’s Margaret Atwood’s “Pig Song,” from You Are Happy (1974) which features a sequence called “Songs of the Transformed” in which nine speakers are animals who have been changed by “Madame.” The pig describes itself in grotesque imagery—”a greypink vegetable with slug / eyes, buttock / incarnate, spreading like a slow turnip”—and then turns on its captor: “Madame, this song offends you, these grunts / which you find oppressively sexual, mistaking / simple greed for lust.” The poem’s final lines crystallize something about prosopopoeia itself: “I am yours. If you feed me garbage, / I will sing a song of garbage. / This is a hymn.” The pig will mirror back exactly what it receives, and the mirroring becomes sacred utterance. The voice given to the degraded creature becomes the vehicle for its resistance.

The paradox

What connects all these examples—the Roman courtroom, the Grecian urn, the sled dog and the bee and the pig—is a shared paradox. Speaking for what cannot speak or what cannot be thought to speak is simultaneously an act of imaginative generosity and an act of appropriation. The voice that emerges always belongs to two speakers at once—the ostensible speaker (the ancestor, the urn, the animal) and the real one (the orator, the poet). And the uncertainty about whose voice we’re really hearing is prosopopoeia’s deepest feature.

For my dissertation, this paradox becomes especially charged when the subject is an animal. Animals do have voices—they bark and sing and grunt and click, not to mention the huge range of gestures and non-speech acts they perform. They communicate, even if we can’t fully understand what they’re saying. So the poet who writes in the voice of a dog or a bee isn’t conjuring speech from silence, the way Keats does with his urn. The poet is replacing one kind of utterance (the animal’s actual, opaque expressiveness) with another (human language). The animal already has a face. The poet is putting a new one on top of it. And the most interesting animal poems, I think, are the ones that know this—that build the awareness of their own ventriloquism into their formal structures.

More to come. My dissertation explores what happens to poetic language when it tries to cross the species boundary, and part of what excites me about being a Praxis Fellow is thinking about how digital methods might shape that inquiry—how you curate a corpus of poems, how you present and sequence them, and what it means to build a digital environment that lets readers encounter those poems rather than just read about them. In my next post, I’ll write about a workshop I recently ran in which participants assembled their own anthologies of Aesop’s fables and then designed pen-and-paper wireframes for how they’d present them as websites. Until then, thank you for reading.

Winnie E. Pérez Martínez’s post on the Scholars’ Lab blog this week got me thinking. In “Breadth and Depth, a Self-Centered Dialectic,” she revisits how we discuss breadth and depth as two approaches to digital humanities professional development. In this framing, one that I have put forward myself, we can think of careers in DH as operating on two axes. On the one, we are expected to know a little about a lot of things. On the other, we are directed more towards narrow, specialist-level knowledge about a smaller subset of methods. Breadth vs. depth. Few careers really ask us to go entirely in both directions. More practically, we tend to specialize in a couple areas within DH and develop passing familiarity with many more.

For me, the dichotomy between breadth and depth was a way to help students map their career plans onto the different skills they might acquire. I thought of it as a way to free yourself from the need to be expert in everything. In her post, Pérez Martínez expertly shows how breadth and depth actually inform and lead to one another. There can be no one right way in. If you start deep, you might find yourself broadening, and starting wide can help you to focus in. What most resonated about Pérez Martínez’s post, though, was the way in which you can see an exceptional scholar and practitioner wrestling over whether they are enough, over whether they could ever develop the necessary skills they need to feel complete. Those anxieties never really go away. I feel them too. I recognized myself in Pérez Martínez’s post, and I couldn’t help but sense that the breadth against depth framing seemed to be having the opposite effect I would want, heightening anxiety rather than mitigating it.

Pérez Martínez proposes a broadening of the axes I had envisioned. Breadth and depth move beyond just X and Y, curling in upon themselves until they start to push outwards. The moment reminded me of the age-old dichotomy of “hack” vs. “yack” in DH work and how Laura Braunstein offered “stack” as an important third term. In addition to coding and technological critique as key parts of DH work, Braunstein’s intervention elevates “the often invisible technological, social, and physical structures within which scholarship is produced and disseminated.” For Braunstein, DH work is more than just the sum of what we do, it also consists of the structures we put in place to enable that work. In the same spirit and inspired by Pérez Martínez, I have been wondering what breadth and depth leave out, what they gesture towards within and beyond the teaching that we do.

Put another way, what is education if not just content? One point of comparison here is L. Dee Fink, whose Taxonomy of Significant Learning illuminates the various components of teaching.

Caption: L. Dee Fink’s Taxonomy of Significant Learning as shared on Florida International University’s Center for the Advancement of Teaching.

Fink’s Taxonomy usefully illustrates all the things that lie beyond the subject matter in the courses we teach. Learning is more than consuming books, articles, or topics. Teaching is more than passing along skills and methods. If we think of DH merely as skill building, we live too much in the upper right of the circle. We leave out the rest of what makes DH experiences—and DH learning—significant for so many of us. We ignore the transformative mentoring that shows a variety of career options. We miss the collaborative practices that can change how we view our work in dialogue with others. We do not account for how true interdisciplinarity changes our perspectives on our own research processes. We need a new term to trouble the dichotomy between breadth and depth that can capture a more capacious view of what it means to practice digital research and teaching, one that goes beyond subject matter, methods, and skills.

I find this particularly urgent in the age of generative AI, a complicated set of technologies that threatens to instrumentalize education beyond recognition. What counts as methodological training if you can vibe code your way to a launched digital project? What counts as digital pedagogy if our students are secretly using chatbots as study partners? How do we make room for conversations about professional development that do not reduce people to a tidy axis of skill acquisitions?

What lies beyond the breadth and depth of what it means to be a digital humanist?

I would introduce a third term for DH professional development: “breath.” Breadth and depth ask us to think about what we can and cannot do, about the subject matter and methods of DH work. The terms ask us to think about the limits of our knowledge and our inability to pursue universal expertise. Breath asks us to reframe the conversation entirely. It is an invitation to pause and re-embed our work in the body. How do we feel about our labor? Who are the working souls in DH and how do we engage with them? How do we work or overwork our own body to the point of breathlessness? What is the lived experience of our labor that transcends the skills or methods? What are the affects—the joys, frustrations, traumas, triumphs—of DH work that cannot be captured by thinking in terms of skill acquisition? How do our energies map onto a living, breathing community of thinkers and doers beyond the work on the table in front of us? Where do we fit in?

Breadth and depth ask students to think about where they could be, professional development by way of spatial orientation. Breath invites students to consider where they are, to think of themselves as real people with real needs that need attending.

Lately, I’ve been thinking a lot about that canonical debate around depth vs. breadth in digital humanities (DH). I remember initially my reaction was feeling that “true” DHers should be both, that this was an aptitude anyone could and should develop in the spirit of the discipline.¹ After much method trial-and-error, I then grew frustrated that I hadn’t found “my thing” and disappointed to think I could only do DH in breadth, not depth. I was bound to a path instead of choosing one. Eventually, I decided I didn’t care for the division at all.

Lately, though, I’ve started wondering, what if the question has multiple axes acting simultaneously? What if breadth leads to depth, the opposite happens, or something else altogether? What if, instead of choosing a path, it emerges, for each one of us, from our own individual way of sharing, problem-solving, organizing, and researching?

In my “failing” to become an expert at one single thing calling out to me, I had no choice but accepting and recognizing the value of breadth, and inevitability of failure—another core DH moment—even if my perceived failure was personal in nature.² But the beauty of “rock bottoms” is that they create an opportunity for radical change because one’s ego is finally humble enough to give up on what isn’t working and engage in earnest reflection, even start over. ON/OFF. Unplug and replug. It’s a time to accept losses and reassess them against growth, assets, skills, experience, effort, connections. What did you learn in the process? In DH, the process is key.³

Through the process, I learned I’ve been wrong all along: depth & breath are really two sides of the same coin. What separates us should be instead the base principles for a constructive bridge uniting DH inquiry. I used to think that not knowing and being new to the tools of an environment was a disadvantage (breadth+1), but it turns out specialists (depth+1) often don’t remember what a beginner feels or needs, precisely because they have intimate knowledge of their fields. The specialist (depth+1) is always iterating over their craft, perfecting techniques or creating new ones, deeply connected to the innovations of peers, organizations, and entities influencing their work. Generalists (breadth+1), typically, pay attention to what’s going on in multiple fields, who’s working where, what is the budget distribution, how do you get more students in to apply for your programs, how do you process their applications. DH emerges from a delicate act of balancing out critical responsibilities among experts of both kinds, each deeply attuned to their own and each other’s tasks.

Revisiting this discussion with recent insights, I realized that, as far as the depth & breadth goes, I am through and through a digital humanist in breadth (of course, an oxymoron). This is how my brain works. I have a good instinct for quickly finding unusual connections between topics, and a curiosity for learning anything, so I end up knowing a little bit about many things, not much about anything at all. I used to badly resent this indecisiveness in my learning pattern, the inability to choose and stick to one thing passionately forever, but I have been reworking this perspective to understand that what I am is flexible, curious, nimble. This is a quality that makes me good at handling unknown situations, at learning how to learn new things on my own, and at translating that knowledge of the learning process to expert audiences.

And yet, over time, I have found myself going back to specific projects, questions, topics. I keep thinking about design, minimal computing, pedagogy, infrastructures, technology, small datasets, and collaborative work, for example, over and over again in recent years. These are now inescapable research areas for me. Won’t this path of ceaseless returning eventually lead to depth as projects grow and change from recurring personal concerns, interests? Maybe we all become breadth/depth hybrids if we spend long enough earnestly engaging DH work, which is kind of pretty, it means connection awaits at the center where both axes intersect.

This blog, in a lot of ways, is the result of putting into action my previous blog, and to get a better gist of what the workshop itself entailed, please see that blog.

In running a workshop on GIS mapping using 3D-printed maps and pins, one conclusion, point of error, questions to consider (call it what you will) came to mind: when practicing a Digital Humanities workshop aimed at teaching a specific digital tool without the digital, while also using Latinx materials, what is it that gets missed? Is it possible to do due diligence on both fields in a limited time with an audience of mixed knowledge? Does the digital tool come before the context of the world in which it is used? And why do these questions trouble me so much? Am I alone in my concerns?

By all of these questions, what I mean to ask, reworded, is there and does there have to be a difference between teaching the workshop I did in a future Latinx class with a DH section on the syllabus versus running a workshop with a general DH group on a Latinx topic while focusing not on the Latinx portion but instead the mechanics of a tool? Theoretically, in a Latinx topic class, the history and specifics of what is being plotted, which in this case were different Latin American migrant experiences in the country of Mexico, would already be explained in lectures and readings. There are no underlying assumptions of knowledge left open in the conversation fostered in a classroom with students. A general workshop functions a little differently, especially given time constraints and the fact that it’s a one-day event, and, at the end of the day, a single skill or specific point is valued.

Admittedly, in the last post, I left out the details of the sixteen flashcards in part because making them took a bit longer than I expected. Just like any other teaching material, the details and specifics mattered an unbelievable amount. So, I did what any literature major would do: I drew on my training and tried to ensure that the stories/narratives were as centered as possible. In practice, this means that nearly all the sixteen flashcards are snippets from documentaries, novels, memoirs, and government documents. This project, at its heart, was one of critical making, using 3D printing to embody the work of literary studies.

Once again, in a Latinx studies classroom, I would never run the workshop before spending time on the histories of Latin American migrations and the differences across decades. For example, in the early 2000s, into the turn of the second decade of the 21st century, there was an increase in unaccompanied children from across Central American countries fleeing gang violence, which was a direct result of the Illegal Immigration Reform and Immigrant Responsibility Act of 1996 (IIRIRA), which is a different moment, with its own specifics, of a broader history (Arias 2012). What is being written about and documented reflects this period. Therefore, the flashcards also aim to reflect not only the different migrant experiences in Mexico but also who is migrating. In my previous blog post, I used Ana Patricia Rodriguez’s framework of accompaniment to argue that, by plotting the flashcards onto the map, a participant is also “positioned, if not prodded, to question the conditions.” The hope in a classroom is that students can see the differences across decades as they plot the snippets and be “prodded” to make connections. Turns out, in a workshop, this is slightly harder to pull off successfully.

Answers to my Questions

I didn’t realize just how much I would appreciate the act of running a workshop, the practice it would provide, and all the questions it would raise for me as a teacher. I say this not as a value judgment but as a point of improvement and awareness: in many ways, the workshop failed. I failed. And I love the fact that I failed. And next time I might fail again, and I might not, but I look forward to it nonetheless. Because in failure and in writing this blog, the answers to my own questions, at least for myself, become slowly clearer and clearer. So, I will now answer the questions using the experience of the workshop itself. What gets missed? I learned that if we center a digital tool too much and not the world it is situated in, the Latinx histories fall a little to the side. Once again, my failure. Is it possible to do due diligence on both fields? That one is a little harder for me because the reality is similar to Environmental humanities, where Priscilla Solis Ybarra, David Vazquez, and many more have demonstrated gaps of Latinx representation in other fields, but also a mirrored gap in Latinx studies. These gaps complicate one’s ability to do full diligence in a limited time. I repeat, my failure. Does the tool come before the world? On the day of this workshop, it did. In part because the intent of the workshop was to teach the tool, and I focused on that too. Why do these questions bother me so much? Question for a later day. Would I teach it differently in my future Latinx studies class? Absolutely.

As part of my tradition, a place of thanks. I am so very grateful to have had the opportunity to run this workshop and to find joy not only in critical making but also in failing. I want to not only thank my praxis group and those who were there for the workshop, but also my amazing advisors who encourage all my side-quests, even when they include ducks.

References

Arias, Arturo. “Central American-Americans in the Second Decade of the Twenty-First Century: Old Scars, New Traumas, Disempowering Travails.” Diálogo, vol. 15, no. 1 (2012): pp. 4-16.

Vázquez, David J. Decolonial Environmentalisms: Climate Justice and Speculative Futures In Latinx Cultural Production. Austin: University of Texas Press, 2025.

Ybarra, Priscilla Solis. Writing the Goodlife: Mexican American Literature and the Environment. Tucson: The University of Arizona Press, 2016.

Drew Macqueen learned about processing & geotagging photos, collaborating with a local artist & Library colleague to map & visualize photos of Virginia taken through the windows while riding trains throughout the state.

Will Rourk 3D-scanned one of the telescope domes at Fan Mountain Observatory last Thursday.

Over the weekend, one of the amazing student Technologists, Link did a clean and reorganizing of the resin 3D printer station. The printer gives off some nasty fumes, so she was able to procure an air purifier set up just for such printers. Unfortunately, the model available doesn’t directly connect with our Prusa SL1S. Link put the air filter in place, but had to resort to duct tape to get it ti connect to the resin printer. It didn’t work.

So when I came in this morning and saw the need for an adapter to the adapter, I knew what I was going to do today!

I spent some time thinking about the best options. An insert with magnets? But how does the original adapter stay put on the new adapter?

Well, there are screw holes, how about using them? Yep, that’s the ticket. Basically replicate the bottom of the original adapter so it can screw to the new, then add a whole bunch of magnets!

And it worked on the first try! I had to double up the magnets in order to make it strong enough to stay on, and the gasket printed in TPU could be a little bit thicker. But it was a great success!

The models are available on Printables.com for download and 3D printing.

On the heels of the knowledge gained from the last post figuring out the gear train numbers, I set out to model the gears and a holder.

And immediately I was confronted with an issue with my calculations.

The Problem

At the end of all my learning and calculating, I decided:

It looks like 36mm (servo) —> 12mm|36mm —> 12mm (pinion) 
has smaller gears and gives good enough range.

One thing I forgot to consider is the length of the servo horn that is used to connect the servo to the gear. I could do without it, but trying to design and print such a small toothed hole has issues. I have seen others try and filament 3D printing does not provide fine enough detail to mesh well with the servo gear. So using the supplied horn attachment makes things much easier.

The problem, is that the horn is about 22mm in length. If my gear is only 36mm in diameter, then the horn would stick out into the gear’s teeth!

Another sidetrack bump I had to overcome was the getting the dimensions of the servo horn. The dimensions I could fine online were unsatisfactory. So I measured one myself!

And went ahead and 3D modeled it and put the 3D model and diagram files up on printables.com for anyone to use.

With all of that info, I can then recalculate the gear train dimensions so it fits with the servo horn.

The Correct Gear Train

Servo motor → 46
              ↓
             20 (same shaft as) 46
                                ↓
                               20 (pinion)

Sidetracked Again!

The first day of modeling, I decided to jump the Fusion 360 train and try onshape.com. It’s a web based 3D modeling and CAD tool. It has been around since 2015, and is gaining ad time lately in many of the YouTube.com videos I see, so I thought I’d give it a try. I was prepared for some learning curves and to spend some time learning a new system, but two things got me to throw in the towel after a full day of working with it; 1) I couldn’t figure out how to do something pretty simple that would take 2 minutes in Fusion 360, 2) I didn’t care for the interface; it felt too unprofessional. If TinkerCad.com is the elementary school version of CAD, it looked like Onshape.com was the 9th grade version. I did love that it was browser based. And making double helical gears was a breeze! There’s a handy built in menu for all kinds of gears. Fusion 360 on the other hand is big L in gear making. You have to import 3rd-party scripts and I can’t get any of the fancy gear scripts to work.

Like many things, it was the fact that I could get things done much faster with the tool I already knew, and I was accustomed to the interface that led me back to Fusion 360.

Making the Gear Train

I had previous attempts at designing the gear train, but I decided to start from scratch since Fusion 360 doesn’t have an easy way to just change the size of gears when using the gear script plugin thing.

Servo Gear

So, first I designed the servo gear. Pretty easy to create a 46 tooth gear with the gear script plugin thing.

I designed a cut out, or inset, for the servo horn to fit inside. This is the easiest way to attach the gear to the servo. 3D printing these gears with filament would not have enough resolution to print the fine teeth needed to interface with the tiny default gear on the servo shaft. Much easier to use the included horn.

Combo Gear

The combo gear was pretty easy, too. Just make another 46 Tooth gear, then make a 20 Tooth gear and stack them on top of each other.

I set the diameter of the hole through the gear at 4.2mm. That’s big enough for a M4 bolt to go through, with just enough tolerance to allow the gear to spin but not wobble.

Pinion Gear

Another very simple gear to model. There’s nothing special about this, just a 20 tooth gear with a 4.2mm diameter hole.

Rack

The rack is pretty straight forward. I created a 20 tooth gear, then used one of those teeth to copy down the length of the rack.

Gear Holder

This was a little bit tricker. The gears were all prototyped in one go. The first print was great. This part took 7 tries so far.

I started by creating a new Assembly in Fusion. Then adding in the gears and aligning them as needed. I went with a stacked approach so as to keep the footprint as small as possible. I had previously modeled the servo motor, so I was able to add that in as well.

It was tricky to get the servo aligned with the servo gear, and then get each of the gears aligned with the ones the mesh with. In realized that if a part has the sketch turned on, then that shows up in the Assembly file. I used that to create a construction line on the servo gear and put a point where the center of the combo gear should be aligned to. Then I did the same on the combo gear to align the pinion. Then adding the holder, servo motor, and rack.

It was a lot of back and forth between the designs for the parts and the assembly to align everything correctly. But in the end I think it lines up well.

Spacers

After the first version, I realized that the gears needed spacers to keep them in place. The holder is wider than the gears. So modeling and printing a couple of spacers is pretty easy.

Somewhat Working

I connected everything up, bolted in the gears, and plugged it in. And it works… mostly.

As the video shows, the gears work, somewhat. There is a bit of jittering, which may be due to the code just rotating the gears back and forth. A more normal behavior would be moving from one angle to the next and stopping there. The servo is also not moving at a full 180°. More like 100°. This is only about 111mm of travel, not the 150mm we’re hoping for. It might be time to consider better quality servos. Perhaps some that move 270°.

It is also a pain to swap the servo motor. Perhaps a redesign is in order.

Missed the first two posts?

• Part I - Critical Making Project 2026
• Part II - Jump on the Gear Train

Funding provided through a generous grant from UVA Arts Council.

Ronda Grizzle has been learning about recording & editing podcasts using Audacity & the Library’s media system, because she starts recording the “DH is People” podcast episodes this week. (Coming soon to a SLab social media account near you!)

The Digital Humanities Center, in partnership with the Data Analytics Center, is excited to share our Call for Proposals for the 2026–2027 academic year.

Applications are due May 15, 2026.

Project teams should consist of one faculty and one graduate student as collaborators on humanities research in the University of Virginia. We welcome proposals that explore experimental humanities research through the use of high-performance computing resources. We encourage projects that challenge traditional understanding of digital humanities (or even what has been considered humanities research), involve ethical and philosophical issues raised by new technologies, or explore new opportunities for using high-performance computing tools and techniques to better understand the human record.

Find out more on our Fellowship Page!

Ammon Shepherd and a SLab student alum used our makerspace to prototype a cast for glassblowing custom drinking glasses: cutting acrylic for a tank to hold a 3D-printed glass cast & plaster of Paris, figuring out both clay & glue were needed to best seal the acrylic.

This week I started figuring out the gear train and rack and pinion needed to move the states. I have tried in the past to get AI to do this for me, but the results from ChatGPT and Copilot are all over the place and offer varying results every time I ask. I decided to use AI to learn the math instead of trying to get it to figure it out for me. Instead, I’m learning the math behind the problem to work it out myself.

Be forewarned, there is lots of math!

TLDR;

What helped immensely was GearGenerator.com

And a spreadsheet that AI generated to calculate the travel distance of a rack based on the pinion diameter and number of rotations.

With help from GearGenerator.com I created a gear train which starts with a 36mm gear attached to a servo motor that meshes with a 12mm gear which is on the same axle (or combined) with a 36mm gear that then meshes with a 12mm pinion.

But how did I get this this answer?

Well, let me take you on a journey to how I figured this out and understood the problem.

What am I trying to do?

Each state will move up and down based on the data given. Prof. Rich Ross and I want this to be a pretty dramatic difference between the lowest and highest states, so we decided on 150mm of movement. After much deliberation and looking at various options, Yashu and I decided that a rack and pinion would be the easiest way to accomplish the goal. What is a rack and pinion? It’s simply a gear that moves a bar with gear teeth. It turns a rotational movement into a linear movement. The round gear is the pinion, the bar with teeth is the rack. )

We figured the servo can rotate the pinion and move the rack attached to the bottom of the state up and down. (See last week’s post with a video of the test case.)

First Gear

The first question we needed to answer was; How far does the rack travel based on the size of the pinion?

The formula to figure this out is

\( T = Dπ \)

T is the rack travel distance, D is the diameter of the pinion, π is yummy and 3.14159265359…

It’s basic middle school geometry. The travel distance is just the circumference of the gear.

But our servo motor only goes 180-degrees, or half a rotation, or half the circumference. So we’ll have to keep that into consideration.

\( T = {Dπ \over 2} \)

The smallest size gear we want to use is probably 12mm. I just pulled that number out of the air (but actually, we’ll use it because I already know it works within all the parameters and constraints for the project 😁 ).

A pinion gear with a diameter of 12mm will cause a rack to travel \( T = 12π = 37.699mm \) But since our servo can only do a half rotation, the rack travel length is \( T = {12π \over 2} = 18.85mm \). I want the rack to travel at least 150mm. So a 12mm gear is not going to work.

In order to get the rack to travel 150mm from a single gear, we can calculate that

\( T = {Dπ \over 2} \)

\( {2T \over π} = D \)

\( {2(150) \over π} = 95.493mm \)

We would need a 95.5mm diameter pinion!

The footprint of the smallest state is about 45mm square. So everything has to fit within that area. So the largest a gear can be is about 40mm. We’ll need a different way to do this.

One option is to use multiple gears. We can use multiple small gears to create the same effect as one large gear. How does that work?

Second Gear

Well, if we just have two gears and one is smaller than the other, then if we turn the small gear one full rotation, the bigger gear will turn less than one full rotation. If the bigger gear is twice the size of the smaller gear, then for every 2 turns of the small gear, the big gear will turn once.

small turning large

The opposite is true, too. If the big gear rotates one full revolution, the small gear revolves twice.

Large turning small

The ratio between the sizes of the gears is called the gear ratio. The gear ratio is derived from the diameter of the gear doing the revolving divided by the diameter of the gear connected to the moving gear. We can call these the driving gear (the one attached to a servo or some other source that generated the movement) and the driven gear. So we get the formula:

Ratio (R) = Diameter (D) of driven gear (n) / Diameter (D) of driving gear (g)

\( R = {Dn \over Dg} \)

If the ratio is greater than 1, then the output is a slower turning gear, a reduction in speed.

If the ratio is smaller than 1, then the output is a faster turning gear, an amplification of speed.

Start with a smaller wheel, the bigger wheel turns slower. Start with a bigger wheel, the smaller wheel turns faster.

We also write the ratio like this R = Dn:Dg

OK. Next, how do we figure out the gear ratios for the gear train, and how many do we need?

Let’s take two gears, one is 36mm in diameter and the other is 12mm.

If the 12mm gear is the driving gear (it is connected to the servo), then the ratio is \( R = {36 \over 12} = {3 \over 1} \) or 3:1. The ratio is greater than 1, so the output is a slower turning gear.

One way to look at it is to read the ratio from left to right. A bigger number is faster than a smaller number. R = 3:1. 3 to 1. This is a decrease. From speed 3 to speed 1. Slower.

But if the driving gear is 36mm, then the ratio is \( R = {12 \over 36} = {1 \over 3} \) or 1:3, the output is a faster turning gear.

Read from left to right. 1 to 3, is an increase. From speed 1 to speed 3. Faster.

If we stick with a 12mm pinion, how many times does it need to revolve in order move a rack 150mm?

The circumference of a 12mm pinion is

\( C = Dπ \)

\( C = 12π = 37.699mm \)

so

\( {150mm \over 37.699mm} = 3.9789 \) revolutions

A 12mm pinion needs to rotate about 4 times in order to move a rack 150mm.

So if we have a second gear turning the 12mm pinion, how big does it need to be. Recall that the servo gear will only be able to rotate half of a rotation. The gear ratio, then, needs to be 0.5:4. Half a rotation to 4.

\( {12 \over x} = {0.5 \over 4} \)

Doing some cross multiply,

\( 12(4) = 0.5x \)

\( {48 \over 0.5} = x \)

and we get that x = 96. Whelp. Back to a 96mm gear. This is because the servo gear only rotates halfway.

Third Gear

So, I ask myself, “Self, if you know the pinion size and how many rotations it needs to complete, how do you calculate the other gears in the train if you don’t know exactly what sizes and how many are needed?”

I replied, “You know, that’s something that I don’t know.”

Well, I asked Copilot, too. (Copilot took into account previous conversations where I told it the gear ratio was 0.5:4 and an earlier example using 36mm and 12mm gears. And it uses gear Teeth instead of Diameter, but these are the same thing.):

(motor) 36
        | (ratio of 3)
        ↓
       [12 same shaft as 36]
                          | (ratio of 3)
                          ↓
                (pinion) 12

(input shaft) 30T
              ↓
              12T -- same shaft -- 15T
                                    ↓
                          (pinion) 30T

Fourth Gear

OK. That’s cool. Now to ask Copilot to figure it all out for me.

“Copilot, walk me through each step of how to calculate a gear train to drive a pinion 4 rotation with a servo motor generating 0.5 rotations and the largest a gear can be is 40mm, and using the smallest number of gears possible, and the gears should be easily 3D printed.”

[(A)40T Servo]  
    |
  meshes                        Stage 1 (40→12)                      
    ↓ 
[(B)12T same shaft as (C)36T]  
                        |
                      meshes    Stage 2 (36→15)
                        ↓
                 [(D)15T Pinion]

Nice! If we have a 15mm pinion rotating 4 times, that moves the rack

\( T = π × D × 4 \)

\( T = π × 15 × 4 = 188.5mm \)

I plugged these calculations into a spreadsheet (rack_travel_calculator.xlsx) to help me play around with the gear sizes. I wanted something smaller than 40mm.

It looks like 36mm (servo) —> 12mm|36mm —> 12mm (pinion) has smaller gears and gives good enough range.

That’s a 3 × 3 = 9 total ratio. Better than the 8 needed.

12mm pinion rotating 4 times moves a rack

\( T = π × D × 4 \)

\( T = π × 12 × 4 = 150.796mm \)

That’s just perfect, but in a gear train, the pinion actually rotates 4.5 times, so the rack will move 169.646mm. Even more perfect!

Gear train

OK. Now with the math and numbers all figured out, and the some additional tips from Copilot about layout, it’s time to start modeling a gear train!

Phew! That was a lot! Next week, 3D model the gear train!

Funding provided through a generous grant from UVA Arts Council.

Read Part 1 - The Beginning

Jeremy Boggs is currently reading Shop Class as Soulcraft by Matthew Crawford, and thinking about code and design as craftwork.

Introduction

Beginning in 2023, the Makerspace has funded a graduate student, usually in the humanities, to design and complete a physical project that represents or comes from their humanities research. Named the Critical Making Fellowship, the previous projects were Alexa Luborsky’s “Diaspora Poem” (2023), and Holly Zhou’s “Memory Maps” (2024 & 2025). This years Fellowship began as a collaboration with Statistics Professor Rich Ross and Makerspace Manager Ammon Shepherd. Generously funded by an UVA Arts Council Grant, the 2026 project was able to hire Yashu Tang for the Fall 2025 semester to get the process started. Below is the write up of the project and contributions from Yashu.

Project Overview

This project aims to visualize electoral voting patterns in previous presidential elections using an interactive data-sculpture. Each state is represented with a cluster of hexagonal cells equal to the number of electoral votes allocated to the state.

The state-block will have two actions in response to input data:

1. light up blue or red depending on the party of the winning candidate and
2. raise or lower itself proportional to the margin of victory.

The data on state-level electoral votes is from UCSB’s American Presidential Project website.

Data

The data has already been scraped from UCSB’s website and contains data on the 1924-2024 elections. They are stored in the election data folder on the shared drive, with a separate .csv file for each election year. Files are named with the convention Election_####, e.g. Election_1968. Years with atypical electoral votes have been noted in the data description document, which can also be found in the election data folder.

The data columns are as follows:

State: State where the data was collected

Total: total votes tallied for the state

Popular_D: Number of popular votes won by the Democratic candidate

Prop_D: Proportion of total votes received by the Democratic candidate

EV_D: Number of electoral votes won by the Democratic candidate

Popular_R: Number of popular votes won by the Republican candidate

Prop_R: Proportion of total votes received by the Republican candidate

EV_R: Number of electoral votes won by the Republican candidate

• If a 3rd party candidate won electoral votes, the votes will be recorded with similar conventions as above, with “_3rd” as the suffix.

EV_Outcome: Column with electoral vote outcomes. Data is stored with integer values of electoral votes, followed by the party they were cast for, separated by spaces. E.g. 3 D 0 R 0 I, where 3 votes were cast for the Democratic candidate, and 0 for the Republican and Independent/3rd party candidate.

Margin: Margin of victory, calculated using

MOV = (Raw margin of victory) / (Total votes in state)

where the raw margin of victory is the difference in popular votes between the first and second place candidates in the state.

Hardware

The state-blocks will be 3D printed by Ammon at the Makerspace and mounted on a similar 3D printed rack-and-pinion mechanism to achieve the raising and lowering.

The vertical movement will be powered by 180-degree rotation Servo motors. They were chosen because their degree of rotation can be specified in code. This allows for an easy transition from the MOV value in the data into Servo motor directions. The Servo motors will be connected to the Adafruit 16-channel PWM bonnet, and a brief tutorial on connecting and using the bonnet can be found here. For this project, the bonnets will use the 3x4 right angle male headers, so the Servo motors can all interface to the pi.

The light-up portion of the project will be completed with the 5050Neopixels, whose product specifications can be found here. A pdf of the specs will also be in the shared drive. The pin configuration can be found on page 5 of the pdf. When connecting the Neopixel to the bonnets, the signal pin should connect to pin 2 (DIN), the power pin should connect to pin 3 (VDD), and the ground should connect to pin 1 (GND).

• It should be possible to chain multiple Neopixels by chaining pin 4 (DOUT) to pin 2 (DIN) on another Neopixel, but I haven’t had a chance to test it.

Software

There is some Python code for powering the Servos simultaneously. This is on the Raspberry Pi and should be stored in the “Code” folder. The packages used for powering the Servos and Neopixels must be used in a virtual environment. On Thonny, you can go to “Run”, then “Select interpreter”, then choose the venv that is in the “Code” folder. Not much has been done for the software portion of this project.

February 2026 update

Further consideration about the project led us to expand the vision of the project. Instead of being tied to electoral data, the map will be able to use any two data points to compare states. The LEDs will not be exclusively red or blue, but RGB LEDs will be used to allow a range of colors.

As of February 2026, the hardware side of things has improved a bit. California was chosen for the test case as it is the largest with the most electoral votes. This would test the capability of the inexpensive 180 servo motors to move the 3D printed states.

Originally, it was hoped to use the output of data from the R statistical program to generate the 3D models for printing. The resulting hexagons from this workflow were inconsistent.

An additional issue, was that the generated file created a map with states at varying heights. We are going to account for this in the hardware by moving the states up and down, so they all need to be the same height.

Modeling each state by hand in Fusion 360 is the solution.

Fusion 360 was also used to model the servo holder and a rack and pinion gear set to move the state vertically.

To test the set up, two pieces of plywood were cut to house the gears and the state. Temporary supports were 3D printed to hold the two pieces of plywood together.

A test case using California can be seen in the video below.

Funding provided through a generous grant from UVA Arts Council.

Read Part 2 - Jump on the Gear Train

A great Valentine project to brighten the day for your special someone.

Materials Needed

• Carboard
• LEDs
  • Assorted Red, Gree, Blue, Yellow, White
  • Color changing
• CR2032 battery
• Yarn (any color)
• Copper tape
• Masking or clear tape

Step 1 Cut Out Cardboard Shape

Cut a heart shape out of cardboard. You can do any shape you want, though.

Step 2 Apply Copper tape

Make a “track” of copper tape around one side of the heart. The rails of the track should not touch. One is for the negative, the other for the positive part of the circuit. Leave a piece unstuck. This will be used for the “button”.

Step 3 Poke holes for LEDs

Poke holes in the heart for the LEDs. You can do as many or as few as you want. This one is labeled with - and + to make sure the LEDs are placed correctly.

Step 4 Insert LEDs

Push the LED legs through the holes. The short leg is negative ( - ) and the long leg is positive ( + ).

Step 5 Secure LEDs to Copper Tape

Bend the legs of the LEDs so that the negative leg lays flat on the negative rail and the positive leg lays flat on the positive rail. Tape them down so the stay in contact with the rails.

Step 6 Make Battery Holder and “Button”

Use cardboard or cardstock to make a ring the size of the battery. The ring should be at least three times as tall as the battery.

Fold a piece of cardboard or cardstock to fit like a bridge over the battery ring. The positive ( + ) side of the copper tape will attach to the underside of the bridge to act as a button.

Step 7 Secure Battery and Button to Heart

Use Masking tape to secure the battery ring and bridge (button) to the back of the heart. The button should rest on the negative ( - ) rail of copper tape. The positive ( + ) rail of tape should be attached to the bottom of the bridge.

Test the LEDs by pressing the button. They should all light up. If not, check to make sure all of the LED legs are touching the correct rail and are firmly taped down.

Step 8 Wind with Yarn

Finally, wide yarn around the heart until all of the cardboard is hidden. Secure the yarn on the back by tying a knot.

Press the button on the back to make the LEDs light up!

What would it mean to design a digital archive that doesn’t simply preserve the past, but actively looks both backward and forward—one that helps us think differently about how the past and future speak to each other?

This question kept coming up as I began building Folkloric Futures, an Omeka-based digital archive that brings together Caribbean folklore, literature, visual art, and community storytelling. From the beginning, I knew I didn’t want to create an archive that treated folkloric figures as static artifacts or neatly categorized traditions. These stories are alive. They change depending on who tells them, where they’re told, and why they’re remembered.

Folkloric Futures started as a way to test that idea in practice.

I’m a PhD candidate in English at the University of Virginia, and my academic research focuses on Caribbean literature and speculative storytelling. My dissertation looks at how folkloric Caribbean figures like the soucouyant, douen, jumbie, and moko jumbie move across novels, oral traditions, and visual culture—and how those movements shape ideas about identity, belonging, and survival. But I kept asking myself a bigger question: what would it look like to take those ideas out of a dissertation and build something people could actually explore, use, and contribute to?

This project is my attempt to answer that.

Why folklore—and why speculation?

There’s a line from Martinican writer Patrick Chamoiseau that I return to often: “Their eyes had seen so much that they no longer distinguished between dream and reality” (from Creole Folktales). For me, that line captures what folklore does best. These stories don’t offer neat explanations of the past; they give people ways to live alongside it.

Caribbean folkloric figures are full of contradictions. The soucouyant is frightening, but also powerful—an older woman who sheds her skin and moves through the night as fire. The douen is a child spirit who lingers at the edge of the forest, both vulnerable and unsettling. The moko jumbie towers above the crowd during Carnival, part guardian, part performer. These figures carry history in ways that are felt rather than explained—through fear, humor, warning, and care.

Speculation gives me a way to work with that complexity. Instead of asking, “What is this figure?” speculation asks, “What can this figure do?” What stories does it carry? What futures does it hint at? What happens if we design an archive that allows those meanings to shift rather than settle?

Designing an archive that tells stories

At a basic level, Folkloric Futures is a digital archive built in Omeka. It brings together literary excerpts, oral histories, visual art, and creative reinterpretations of Caribbean folklore. But very quickly, I realized that the hardest part of the project wasn’t collecting materials—it was deciding how the archive should feel.

Most digital archives aim for visual consistency and neutrality. This one couldn’t. These figures don’t belong to a single mood, palette, or structure. So instead of designing one uniform template, I let each figure shape its own page.

The soucouyant’s page uses deep violets and ember-like gradients to suggest heat, night, and movement. The douen’s page is quieter, built around forest greens and shadow, echoing stories of childhood loss and ecological liminality. The moko jumbie’s page is bright and vertical, drawing on the energy of Carnival and the figure’s role as a watcher from above.

These choices aren’t just aesthetic. They’re a way of letting design do some of the storytelling work—guiding how people encounter each figure before they ever read a word.

Metadata, but make it human

Metadata turned out to be one of the most surprising parts of this project.

Folkloric figures don’t stay in one place. Their names change across islands, and their meanings shift between generations. Trying to force them into fixed categories felt like losing what mattered most about them. So instead of treating metadata as a rigid checklist, I started treating it as something closer to a set of prompts.

Instead of asking only where a figure comes from, the archive makes room for multiple origins. It doesn’t settle on a single interpretation, but allows overlapping themes and contradictions to sit side by side. In this way, metadata becomes another storytelling layer—one that reflects how folklore actually moves through the world.

Ethics as something you build in, not add later

Because Folkloric Futures works with living traditions, ethics could not be an afterthought. Early on, I wrote a project charter to guide decisions about collaboration, credit, and care.

That meant committing to a few core ideas:

• contributors are collaborators, not data sources
• artists deserve material compensation
• people should control how their stories are shared
• accessibility matters, especially for oral and low-bandwidth storytelling

These principles shape everything from submission forms to design choices. Ethics, in this project, isn’t a separate section—it’s part of the infrastructure.

Teaching as part of the archive

Folkloric Futures is also a teaching project. In Spring 2026, I’ll be running a workshop series that invites participants to experiment with archives, oral storytelling, mapping, and creative worldmaking—using both digital tools and low-tech alternatives.

The goal isn’t technical mastery—every workshop includes a low-tech version by design. It’s about helping people see archives as places where stories can be questioned and expanded. In this way, teaching feeds back into the archive, and the archive becomes something shaped by ongoing learning rather than a finished authority.

What building in public has taught me

Working on this project has changed how I think about archives. I’ve learned that design decisions are never neutral, that aesthetics shape interpretation, and that building in public requires patience, iteration, and accountability.

Most of all, it’s reinforced my belief that speculation isn’t escapism. In Caribbean storytelling, imagination is often a survival strategy—a way of carrying history forward without being trapped by it. Folkloric Futures tries to honor that by creating a digital space that doesn’t just preserve stories, but invites people to think with them.

Because an archive, at its best, doesn’t just hold the past. It helps people live with it.

In my discipline, art history, the slide show is not only an intrinsic part of teaching, but it shaped the discipline’s methods from its inception. Practices through which art historians are taught to understand art – like visual analysis and comparative analysis– rely on one or more reproductions of artworks to be available to students in the classroom. Photographic slides have been used in art history since the early twentieth century. Then why are most art history sideshows so plain? Why, now that technology has advanced, have the conventions of the art history slideshow stayed largely the same?

Outside of academia, video is one of the main ways people consume information. Currently, this is largely through online video. Online educational programs vary greatly in quality and accuracy, but many educated individuals who operate outside of academia have taken to platforms like YouTube to share their knowledge and their analysis on a variety of topics. Some of my personal favourite video essayists hold undergraduate and graduate degrees in philosophy. They often start their videos by addressing a current topical issue or event as a departing point to present different philosophers’ ideas and concepts. While these videos use some academic practices – like citing sources on the top right of the video, or providing a bibliography in the description – their presentation style is definitely not academic. Their videos contain elaborate costumes, makeup and sets; their presentation style is highly emotive: they use humor, plot twists, and personal experiences to make complex topics more approachable. On Youtube, maintaining viewers’ engagement and retention is paramount for the monetisation of a channel. This is often achieved by favouring material that emotionally, rather than just intellectually, engages the viewer. Video essays can be long, sometimes multiple hours. The audience is almost by definition assumed to be a distracted one. Viewers are doing chores, or cooking, or on their commute. To keep them interested and listening, one needs to find ways to not only make the content relevant to them, but create emotional resonance and construct exciting visuals and sound design to highlight important moments. This highly emotional way of presenting differs from academic rigor, expectations of objectivity, and separation between the self and one’s field of study.

While in certain academic fields – largely feminist, queer, black and other minority studies – this requirement has been challenged, it is still an underlying practice in disciplines like art history. Yet, we all spend years of our life studying and researching this material because we love it, because we find it interesting and relevant. So why is it so difficult to communicate passion and enthusiasm in public facing presentations?

I believe there are at least two practices from the YouTube video essay that could translate to the academic presentation: encouraging emotional engagement, and providing variety. In regard to emotion, for example: Where can I script a joke or acknowledge the humor of an aspect of my research? Where can I leave out a conclusion or some information, to surprise my listener with it later? Where can I reenact a moment of my research when I found out something exciting or unexpected? Where can I peel back the curtain a bit on the process of my research, so that the listener feels involved in the narrative I’m presenting, and not just a passive bystander? Importantly, how can I use the tools at my disposal to create these moments of emotional engagement? Where can I hide something on the next slide, as to not give away my findings before I get to them? Where can I include a photo that brings up a good anecdote from my time in the archive, or at the collection?

Variety and dynamism can also be accomplished through the slides. Why am I the only one talking? Do I have audio or video clips that I can use? Can I call onto someone in the audience to answer a question? I often find it difficult to not sound monotone when I’m presenting. Embedding audio or video or planning for moments of interaction with the audience could help to break up the sound of my voice. There are also ways to make slides more dynamic and visually interesting without making them look unprofessional. If I need to talk over an image for a long time, how can I animate it in some way? Can I zoom in onto details of the painting as they come up in the talk? Can I show Calder’s mobile sculpture move? Can I play a video of the performance with the sound off as I’m talking about it?

The workshop I’m planning in Spring is an attempt to think about emotional engagement and diversity in the slideshow presentation as a group, without being prescriptive on which methods to adopt and when. I am aware that our cohort works in a variety of fields and from multiple identitarian positions that affect how we are perceived in a professional setting. Some of us can take more liberties when it comes to academic speaking and some of us cannot. But I am interested in finding out what people think about this comparison. Which methods of the video essay can apply to the academic presentation with the slideshow? I plan to use clips from videoessays to show some of these techniques. I’ll then play a clip of an academic presentation, and ask the people in the room to draw a storyboard of it. Storyboards, where a drawing of a shot and notes are put side to side, are very similar to the slide and script style of preparing for a talk. However, they force one in the position of the audience member instead of the presenter. They allow us to think in more detail about framing, and movement, and how to direct the attention of the viewer. I hope this exercise will inspire the group to think about some ways in which the slideshow can improve our ability to communicate our research to a variety of audiences.

Get over to Chez Scholars’ Lab for the hottest GIS workshops in town. And fear not, our references may be from the nineteen hundreds, but much like the themes of that movie, the content of these workshops is ahead of its time.

Spring semester is when we shift gears and turn our workshop focus to ArcGIS Online (AGOL), Esri’s GIS solution for the cloud. AGOL is browser-based, eliminating any Windows vs. Mac shenanigans, and allowing us to provide temporary access to members of the community that don’t have UVA credentials. Not sure what the difference is between ArcGIS Pro and ArcGIS Online? Mark Patterson sums it up well here. Still not sure? As always, feel free to contact us with any questions.

• Sessions are one hour and assume participants have no previous experience using GIS. These will be hands-on demonstrations with step-by-step tutorials.
• We will meet in-person in the Scholars’ Lab (Shannon Library 308) on Wednesdays from 2PM to 3PM, and openly welcome the UVA and larger Charlottesville community.
• Walk-ins are welcome, but due to limited seating, we strongly encourage registering using the links below or at our Events page. If you’re waitlisted, please contact us at uvagis@virginia.edu.
• Class materials will be made available on the Spring 2026 Workshops tab of our Teaching Resources page.
• We will not be offering a virtual option this semester. We apologize for any inconvenience.
• Please note, these workshops are not intended for course instruction. If you’re here at the direction of your professor, or if you’re teaching a class and would like to include GIS instruction, please contact us at uvagis@virginia.edu.

January 28th - Introduction to ArcGIS Online

ArcGIS Online is the cloud-based younger sibling of ArcGIS Pro. It can’t do some of the less flashy, GISy kind of things, but it’s in the cloud, it’s connected, which adds all the hip functionality we’ve come to expect. With ArcGIS Online, you can find and create spatial data, maps, and applications. Access a limited but powerful set of analysis tools that take advantage of cloud computing and pre-configured data and resources. Share and collaborate with small groups or with the world. It’s an easy-to-use entry into the world of GIS, all from the comfort of your browser.

Register Here!

February 4th - Find and Create Spatial Data

Start your data search with AGOL’s collection of geographic information from around the globe. Not finding the data you seek? We’ll cover how to create your own data, and how to share it with the world.

Register Here!

February 11th - Collect Data in the Field

Whether you are crowd sourcing spatial data or performing survey work, having an application that records location and uploads data directly to a mapping application is incredibly useful.

Register Here!

February 18th - Web Mapping and Visualization

Pop-ups, filters, clustering, advanced symbology. There are many ways to personalize your maps, enhancing the story your data tells. We’ll dive into some of the more advanced functionality that allows you to fine-tune your Web Maps. Don’t be put off by “advanced”, though, this session is beginner friendly.

Register Here!

February 25th - Spatial Analysis with ArcGIS Online

Perform basic analysis with tools like Buffer and Spatial Join. Or, enhance your data, taking advantage of the always up-to-date elevation, streets, and demographics data available in ArcGIS Online with tools like Create Viewshed, Find Nearest, and Enrich. Come for the learning and stay for stories about the old days when we had to create all that data ourselves. Uphill. Both ways!!

Register Here!

March 4th - Spring Break, No Workshop!

Enjoy a break. We’ll see you next week!

March 11th - Instant Apps and More

Dip your toes into the world of web GIS applications with AGOL’s quick-configure app builders. We’ll explore a few of the many options for enriching your map and data with focused applications. From time animation to interactive multimedia, these easy-to-use templates and builders take your data to the next level.

Register Here!

March 18th - Introduction to ArcGIS StoryMaps

StoryMaps is a website builder that makes it easy to add narritive and multimedia context to your ArcGIS Online maps. Whether telling a story, giving a tour, or comparing historic maps, StoryMaps is an easy-to-use tool that allows you to create a polished web presentation.

Register Here!

My wife and I are expecting our second child in just a few weeks, which means that I am gearing up for a new and chaotic phase of life. As a part of the preparation, I’m doing everything I can to keep things running smoothly for student programs in the Scholars’ Lab while I’m out. I set up a process for doing so when I took leave two years ago for our first child, so I’m not exactly working from scratch. Here’s how I’m preparing for my leave this time around to make things easier for my coworkers who will be keeping things going in my absence.

Give notice early

Everyone has different interlocking reasons for when they give notice to their team. Those reasons might be medical, personal, or professional. Given my own particular circumstances, I let my immediate collaborators in the Scholars’ Lab know fairly early, several months before I would be out. With this knowledge well in advance of the due date, my collaborators knew that I was taking steps to accommodate my absence. I also notified students who would be impacted. The dates I chose to take these steps were selected carefully in conversation with my supervisor, who helped me decide who needed to know and when.

Identify areas of responsibility

One of the first tasks in preparing to unplug for two months was to list my tasks, differentiating between major ongoing initiatives and smaller one-off items. This process helped me to create a to-do list such that I can make progress on my leave in a controlled manner. Otherwise, one can get lost in an anxiety spiral feeling like there is already more to do. I identified the Praxis Program, the DH Fellowship Committee, and our summer programs as primary initiatives in need of continuity.

Wrap up what I can

For smaller projects, I sprinted over the past two months to finalize whatever I could. Rather than working with a particular student on a weekly basis, for example, I set a date for a multi-hour meeting where we could make significant progress on their project. I set early writing goals for myself to meet deadlines in advance. And I took advantage of the slow down between semesters as space in which I could get ahead.

Establish points of contact for what I can’t

Some projects and initiatives will inevitably roll over through my leave. Working through my list, I worked with my supervisor and coworkers to identify people whom might be willing to take on specific pieces of my work. This process always involved asking my collaborators a series of questions: what do they need to feel comfortable? What can they do? What do they feel uncomfortable with? Who else might make sense for particular tasks?

Document everything

So much of the work I do exists in my head. Workflows, points of contact, procedures, norms. I tried to write as much of this down as possible so that someone stepping in would know exactly what to do and when. Winnie E. Pérez Martínez has been exceptional at working on this with me as a student worker, especially in regard to clarity and formatting. Winnie has a special talent for taking an enormous brain dump from me and assembling it into a coherent, less intimidating guide. I have learned a lot from her!

Put guardrails on future commitments

If possible, I tried to stop planning major commitments that would take place a couple weeks before the due date. At the very least, when I agreed to something, I made it clear that I might unexpectedly withdraw with little notice. I am also giving a couple weeks buffer before scheduling new commitments after I return in April. After all, babies have their own schedules in mind, and postpartum life is enormously challenging and complex. It’s impossible to know what our lives will be like for the next several months, and I tried to be honest about these facts with everyone involved.

Caveats

Everyone deserves the time and energy that parental leave allows to refocus on their personal life and meet the needs of a difficult transition. Everyone deserves coworkers kind enough to help them make space for their family. But I also know this is not the norm. I am enormously fortunate and privileged to have such support. That being said, I hope that what I’ve outlined above can be helpful even for those who do not possess such a robust support system. In those cases, this post might offer a rough guide for how to advocate, push back, and find small space for what you need in infrastructure that might not otherwise allow it.

This is a guest post by Makerspace user, Yifan Liu. During the 2025 Fall semester he developed and created a number of amazing cityscapes.

3D Print Tutorial: Cityscapes

By: Yifan Liu (yl3gm), UVA Graduate Medical Student

Creating a 3d Model

1. Open the online software Map2Model. You will be presented with the following interface.
2. Enter which city or area you would like to model search bar. Then select an area of the map to be modeled.
   
3. Adjusting settings: There are many customizable settings that can be adjusted in the right-hand menus. Below are a few example settings that I commonly choose.
   • Base:
     • Map size: 152mm
     • Base layer: 4mm
     • Topography: Disable if modeling a relatively flat area to reduce complexity
     • Frame: Off
   • Features:
     • Roads
   • Include footpaths: Enable if you want to include detail of hiking trails or parks for example. Disable if you want to reduce file size and processing time
   • Road Types: Play around with disabling different road types for effect or reducing complexity - Grass: Off - Buildings:
   • Buildings Scale: 1.2x – 1.5x - Sand: Off - Piers: Off
4. Press “Generate Mesh” to generate a 3d model of your selection
5. Click the dropdown menu next to “Export 3MF”. Click “Export STL”
   • Note: you can also export as 3MF to retain features like roads, water, and buildings as separate objects.

Editing and Refining (optional)

You may notice that some structures in the model are not correctly detailed or rendered. If you want to add more detail, import your model into a 3d modelling software. For this example, I used Blender. More detailed instructions on how to use Blender can be found online.

1. Download or create 3d models of desired buildings. Adjust to correct scale and position and place over existing building on model.
   
2. Delete undesired geometry or vertices on cityscape.
3. Export file as an STL for slicing and printing.

Slicing

1. Open STL file in PrusaSlicer
2. Adjust settings by going to “Print Settings”:
   • Print settings: 0.20mm Structural
   • Brim: 4mm
   • Infill: 10%
3. Multimaterial Printing: (optional)
   • Click on the STL object and click on Multimaterial printing on the left-hand menu icons
   • Use the Smart fill tool to paint the desired colors. I prefer to paint water features blue and all other features white.

Printing

1. After slicing export your file to the desired printer. If using Multimaterial printing, use either Kermit (Prusa MK4 MMU3) or Big Bird (Prusa XL).
2. Load and select desired filaments on printer. Make sure to check that the correct filament is paired with the correct extruder.
3. Print and wait!