THE BASICS
Grading
Attendance: 10%
Participation/Reading Notes: 15%
Dossier: 75%___
M01: 10%
___M02: 15%
___Final Submission: 50%
Attendance
Attendance is crucial for this class, especially given the brutally short quarter! Just to put things in perspective: missing 2 sessions is roughly equivalent of missing a quarter of the course!
I understand that important things — family or personal issues, religious holidays, illness, and so on — come up, so please try to let me know as soon as possible if you know you’ll miss a session and we can discuss how best to catch up.
Late work
Echoing the policy on absences: I recognize that things come up. If you need an extension on an assignment for a reasonable issue, let me know as soon as possible. However, there’s not much room for error with late work: Dossier milestones, for example, are timed so that you can make the most of the workshops. Turning in work late means you won’t be prepared for the workshop!
No late submissions are possible for the final project due to the grading deadline. I’ve already pushed it back as far as I can to give you as much time as possible, and any late submission could result in an “Incomplete” for the course.
Office Hours
Office hours are divided into 20 minute blocks for shorter meetings, but you can schedule two in a row if needed for discussing something requiring more time. I recognize that schedule conflicts are inevitable and we may need to work on finding time outside of designated OH; if you need to chat, I will always find time to do so within a reasonable timeframe.
I always recommend that you schedule an OH session early in the quarter so we can get to know each other better, but that’s up to you!
GROUND RULES
Come prepared, give
attention generously, get engaged. Participate in ways that thoughtfully direct your particular strengths and sensitivities toward our individual and collective work. Always, always be patient and careful with yourself and your class comrades in that work, whether it’s creative or critical. Don’t weaponize your experience or expertise, and be open to the different experiences and expertises of others. We want this course to be a place to experiment, learn, and practice pedagogical camaraderie. Help build a space attuned to how we can thrive within and beyond the scope of the course!
In practice, that means following a few common-sense ground rules:
- Never be on your phone, on social media during class, doing unrelated work/play, using a device that makes sounds.
- Sometimes (but not always!) take notes, look something up, and/or refer to readings on your laptop or tablet.
- Any time it strikes you, write or draw notes/ideas/schemes with a pen or pencil; ask a question/make a comment (raise your hand first please!)
UNIVERSAL DESIGN
I want this course to be accessible to as many different modes of learning and thinking as possible. The class will, by necessity, explore several ways of approaching, looking at, experiencing, and interacting with a variety of texts and geographic media. I intend these to not only expand the accessibility of the conceptual material we’ll cover, but to enrich everyone’s creative and critical capacities for thinking, making, and learning. Disability studies scholars have long shown that “disability” is a relation between people and environments, not personal trait or individual property; in this spirit, we want to shift from a framework of accommodating disability to designing for physical and neuro-diversity as a universal individual and collective condition for learning. I believe, in other words, that where learning with difference is always the starting point, universal design is good for everyone — including (and perhaps especially) instructors!
There are two primary ways we’ll go about this.
Anonymous Open Check-inFirst, you’re invited to complete
an anonymous and optional feedback form any time you’d like. No identifying info will be collected; it’s ultimately an opportunity for us to check in about the class in a safe but open-ended way.
The form does not ask or require you to share
any information about a disability; disclosing disability status is entirely your choice, and protected by federal law.
I
also always welcome your personal feedback if you feel comfortable talking to us directly! If you feel there are structural barriers to your full participation in the course, whether that entails the physical environment or particular activities or assignments, please let me know as soon as you can. In the event you want to communicate beyond the anonymous surveys, I will always keep these discussions confidential.
UChicago Student Disability ServicesSecond, the university makes a range of resources available through
Student Disability Services (SDS). The process of making use of those resources is
summarized here. If you have a documented disability, we encourage you to register with SDS to get support through official accommodation. You can contact them via email at
disabilities@uchicago.edu, call them at (773) 702–6000. Their offices are located at
5501 S. Ellis Avenue.
ACADEMIC ETHICS + LABOR
Everything comes from somewhere, including ideas. It is crucial to the ethos of this class to acknowledge the conditions of our academic production. That most often means good citational practices consistent withe University’s guidelines on
Academic Honesty (reproduced below).
However, it also means acknowledging that intellectual work is work, and that work is
a) collaborative in some form and
b) done differently (and often unevenly) by each person depending on diverging and converging abilities, experiences, and needs.
Academic integrity requires openness to the many modes, spaces, and histories within and beyond academia that make our collective work possible. This openness is a necessary (but not sufficient) step beyond “academic integrity” and toward a more active
ethics.
QUESTIONS OF ACKNOWLEDGMENT
The context in which those ethics are put into practice is important. At root this course is about how collective spatial imaginaries of justice are mediated by complex entanglements between “technical” ways of thinking and seeing. In that spirit, it is crucial to resituate and reground
where we understand ourselves to be imagining from — the homelands of
Peoria,
Miami,
Kickapoo, and
Potawatomi Nations— and
how these social spaces have been built — with unfree and economically exploited African and African American labor. The tools of mapping, surveying, and geographic visualization more generally have often been central to abetting or perpetuating those legacies in and around Chicago, whether through
settler-colonial land surveys or practices of
redlining.
There are many
critical perspectives on the importance of acknowledging these truths that simultaneously point out their necessity (as part, for instance, of Native protocols of hospitality) while critiquing the all-too-often performative aspects of acknowledgment without concrete action (especially, for instance, around the return of stolen and illegally occupied Native land). Similar critiques have been levied from the point of view of Black labor, accompanied by powerful arguments for
reparations here at UChicago.
Because this course does not directly contribute to those struggles, I offer this land and labor acknowledgment with humility and the hope that the tools of critical spatial media can be put to work for justice.
To learn more, the library has assembled some
excellent resources that inform this section.
Politics of CitationBe reflective and honest about the sources of your work, and always give credit where credit is due. Cite widely and generously; think of whose voice you are amplifying, what that amplification does, and for whom. If using AI tools is useful for you, that’s fine. Consider, however, that insights from AI are a kind of “view from nowhere.” Whose perspective is being reflected through AI? How do you know? What voices do AI tools amplify, if any?
Citational Style
Use the
Chicago Manual of Style, Author-Date references. For AI tools, see these
new citation guidelines.
PlagiarismIf you’re not sure, ask. This is especially important for the brave new worlds of digital making, including
coding and
cartography. Plagiarism is not acceptable under any circumstances, and it’s your responsibility to make sure your work maintains integrity as required by the University and demanded by the ethics of the academic community.
Just so we’re entirely clear, if you need a refresher, here is the University policy on
Academic Honesty and Plagiarism from the Student Manual:
It is contrary to justice, academic integrity, and to the spirit of intellectual inquiry to submit another’s statements or ideas as one’s own work. To do so is plagiarism or cheating, offenses punishable under the University’s disciplinary system. Because these offenses undercut the distinctive moral and intellectual character of the University, we take them very seriously…Proper acknowledgment of another’s ideas, whether by direct quotation or paraphrase, is expected. In particular, if any written or electronic source is consulted and material is used from that source, directly or indirectly, the source should be identified by author, title, and page number, or by website and date accessed. Any doubts about what constitutes “use” should be addressed to the instructor.
AILast but not least: AI tools. We’re all cyborgs already! Y
ou may use any and all AI tools as you see fit. However, you must cite any tool you use, clarify why you’re using that tool, and reflect on how it shapes your critical and creative process.
It’s unclear what positive role AI tools will play in course assignments and projects; we’re skeptical that you’ll find obvious ways in which AI will make your workflows more efficient, enhance your critical perspective, or open up many creative possibilities beyond what you could come up with without that tool. The two exceptions are when we begin to work with i) the Javascript-based coding environment of Google Earth Engine and ii) new generative image-making tools in Photoshop. You are more than welcome to experiment with these and other tools, as long as you follow the guidelines above.
Finally, I occassionally use AI in our own work, and are still figuring out when it’s useful and when it’s a distraction. I’m happy to have those conversations openly and honestly-- and will naturally demand that same openness and honesty from you!