The Art of Cartography: Creating Maps for your Research

A figure of national research stations in Antarctica, which I recently created for my research using the Python library Cartopy.
A figure of national research stations in Antarctica, which I recently created for my research using the Python library Cartopy.

Ever since I was a child, I’ve always loved maps—I was a major geography nerd growing up. Jumping forward to today, my like-minded roommates are just as obsessed as I am: the walls of our dorm are literally covered floor to ceiling with maps. These include (but are not limited to) a glaciological map of Antarctica, public transport maps of numerous cities (Toulouse, Christchurch, and New York are just some examples), and a road map of my home state of Washington!

Maps aren’t just a fun hobby: They’re also enormously important in numerous research fields (in addition, of course, to just being plain useful). Whether your research field of interest is history or meteorology or epidemiology, there’s a good chance that you’ll be reading—and making!—some maps. In my own field of glaciology, maps are of paramount importance, whether it’s a map of glacier melt contribution from southeast Alaska or a map of Antarctic ice core sites. I’ve written this guide to provide some helpful resources and tools for making maps for your research, so hopefully it will serve as a good starting point! I should note that this isn’t a tutorial, but plenty of great tutorials should exist on the Internet for all of these tools.

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A Guide to Poster-Making

You’ve finished a research project and now you’re on to the final step: presenting your work! It’s time to share the incredible work you’ve done with the general public, and one of the best ways to do so is to create a poster conveying the significance and conclusions of your research. This will be an essential skill during your time at Princeton whether for a course or as a part of your junior and senior independent work. If this is your first time creating a poster presentation, check this blog out! ​​

A student presenting her junior work as a poster presentation.
Sara Akiba ‘26 with her poster presentation on “Foraminifera-bound δ13C as a Paleo CO2 Proxy: Methods Testing” for the Geosciences Junior Poster Presentations! If you want a poster as great as hers, continue reading below for some advice.
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Presenting at Academic Conferences: Tips and Tricks

The author presenting at the American Geophysical Union 2023 Fall Meeting

The author presenting at the American Geophysical Union 2023 Fall Meeting.

Imagine the following scenario: after months of committed, in-depth research on the academic topic of your choice, you’ve finally obtained some pretty cool and novel results. Your adviser is excited, and their reaction is enthusiastic—“Hey, what if we submit an abstract to an academic conference?” This was the situation I found myself in last year, when my advisers suggested I present my research on reconstructing past Antarctic snowfall patterns at the American Geophysical Union Fall Meeting in San Francisco. I felt honored and excited, but also a bit nervous. How was I, a lowly undergraduate, going to present my work to a massive academic conference the size of a midsized town? 

Luckily, I was fortunate enough to receive a lot of great advice from mentors and peers, and in the end it turned out great! Now, I’ll try and share some of that advice with you all—I hope you’ll find it useful!

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Matplotlib: A Quick Intro to a Helpful Python Data Visualization Library

Graph of a heatmap with colors ranging from pale green to dark blue to indicate density of pedestrians.
Example heatmap of pedestrian traffic generated by the author to illustrate some of Matplotlib’s capabilities.

Data is everywhere. Whether it’s to track your music listening habits, analyze stock market trends, or understand scientific research, data is most valuable when it can be easily interpreted. This is where data visualization comes in: to transform raw data into clear, engaging visuals.

The Princeton University Library has a wealth of resources and research guides, including guides tailored specifically to data visualization in programming language R and statistical software Stata (often used in economics courses). However, not as many PUL research guides are currently available on data visualization in Python. If you haven’t heard of Python before, it’s a popular programming language that can tackle a versatile range of applications, including data analysis and artificial intelligence. While Stata and R are both excellent choices for statistical analysis and visualization, Python stands out for its flexibility, interactivity, and seamless integration with web development and machine learning applications.

In this article, I wanted to present a commonly-used Python library for data visualization: Matplotlib. By learning how to use Matplotlib, you’ll be able to take your data and turn it into visuals that communicate your findings effectively—a key skill whether you are analyzing survey results, studying statistics, or working on research projects!

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Simplify Your Research Poster Printing: Using Princeton’s Makerspace Large Format Printer

Photo of three students wearing black suits and smiling at the camera. Machine learning research poster in the center.
Alexis Wu (author), Jenny Pang ‘24, and Jimmy Hoang ‘24 at the COS 484: Natural Language Processing Spring 2024 poster session.

The end of the semester is often accompanied by deadlines for semester-long projects and final papers (including the infamous Dean’s Date deadline, which past correspondent Ryan Champeau has amazing advice on!). For some classes, students may be asked to create an academic or research poster and present their work to their peers in a poster session. A couple of courses I have taken where I produced a final research paper were COS 484: Natural Language Processing and ASA 238: Asian-American Psyches

In ASA 238, the department provided funding so that all students in the class could have their poster printed through Princeton Print & Mail Services. However, this option typically is not free-of-charge to students. Moreover, since this process typically takes 4-5 business days after the proof is approved to be printed, course instructors may set conservatively early deadlines so that all students’ posters may be printed on time. With more deadlines in other classes, this can create additional stress.

The great news is, this stress can be avoided with a free, straightforward alternative: utilizing the Makerspace’s Large Format Printer. The Princeton University Library (PUL) Makerspace is a creative space on the A-level of the Lewis Science Library open to current students, faculty, and staff. If you’ve never used the space before, it might be daunting, but I hope this article will clarify the process and assuage any fears you may have!

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Harmonizing Research and A Cappella: How Music Fuels My Scientific Journey

Photo of the members of the Princeton Footnotes in the year 2024-2025, taken at Rocky courtyard
Photo of the Footnotes, Princeton’s fresh low-voice a cappella group founded in 1959

Imagine standing in front of a big audience, heart racing, ready to blend your voice with others and hit the notes of an intricate a cappella arrangement. Every beat, every breath, is crucial. Every time I stand on stage or under an arch with my a cappella group, the Princeton Footnotes, I think of how similar singing and music feels to what I do in the lab. You might be thinking that singing in an a cappella group and doing research are worlds apart. However, these two passions have formed a bond in ways that I never believed possible. In fact, the creativity, collaboration, and discipline I have channeled in being a part of the Footnotes have made me a better researcher—and vice versa. 

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Into the Unknown

Reflection on my personal experience tackling a new research paradigm

Yubi Mamiya presenting her findings on "Clinical trial simulation of ensitrelvir for SARS-CoV-2" to the Fred Hutchinson Cancer Center Infectious Disease Sciences Department.
Yubi Mamiya presenting her findings on “Clinical trial simulation of ensitrelvir for SARS-CoV-2” to the Fred Hutchinson Cancer Center Infectious Disease Sciences Department.

I’ve always believed in challenging myself to learn new methodologies and explore new fields in my research. Yet, there’s a fine balance between tackling a new challenge and feeling over your head. Reflecting on my past summer conducting a project in a completely new research paradigm, I wanted to take a moment to share my experience in the hopes of encouraging other students to be unafraid to undertake novel endeavors.

I had the life-changing opportunity to research the dose-response of the oral antiviral ensitrelvir for treating mild to moderate symptoms of SARS-CoV-2 with the Schiffer Lab starting this past June as an intern in the Fred Hutchinson Cancer Center Infectious Disease Sciences Internship Program. This project employed a very different application of my interests in healthcare and computer programming than I’d ever done before. Wide-eyed with amazement and curiosity, I delved into the fields of pharmacology, clinical trials, mathematical modeling, infectious diseases, and computational simulations. I remember learning about my project goals for the first time and thinking: “Wow, there are thousands of other students who would make a much better intern on this project”. This overwhelming imposter syndrome is something that I’ve often struggled with during my past research experiences when walking into new fields for the first time. But, thanks to the incredible mentorship of the Schiffer Lab and the tips that they shared with me, I overcame this fear and was able to grow into a more interdisciplinary and confident researcher this summer. I hope to pass on this same inspiration to other students here.

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Mentorship Matters: A Summer of Research and Growth

This image shows a lab technician pipetting a clear solution into an another orange-colored solution inside a fume hood in a lab
Photo of a chem-bioengineering lab, photo credit to Iris Rubinstein.

When I first walked into the lab this summer, I thought research was all about running experiments and gathering data. What I didn’t expect was how much the people around me—the mentorship and the shared triumphs and failures—would shape so much of my learning and how I view scientific research. 

Starting a research position at a bioengineering lab over the summer was really intimidating for me, especially as an undergraduate. At the start, I felt like the most inexperienced person in a room full of graduate students, postdocs, and faculty who seem to have it all figured out. Although I’ve learned or at least seen a lot of the quantitative and qualitative components in my Chemical and Biological Engineering course, I did not have much hands-on experience and critical thinking that comes with actually doing experiments. That’s when I realized how big of a role a mentor plays.

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A Guide to Citations

Whether writing a paper or providing a presentation, you will often find yourself relying on the completed work of others to synthesize information about a subject. An essential part of using these outside sources is to give their owners rightful credit in your references! Read some tips below on making citations easier. 

Someone reading an article they would reference if they were doing research on the topic
Citations can be the most dreaded section of your writing. Finish your references with ease using this guide! 
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A Guide to Presentation

Have a presentation for one of your courses and unsure where to start? Or maybe you need to present for a research symposium? During your undergraduate years, you will come across many times when you may have to give a presentation to present your research for coursework or perhaps for an individual research pursuit. Here are some tips to help you present easily and effectively! 

individual giving a presentation to an audience
Give the most nerve-free presentation with these tips!
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