Most people’s New Years Resolutions, I imagine, are not about improving their knowledge of statistics. But I would argue that a little bit of knowledge about statistics is both useful and interesting. As it turns out, our brains are constantly doing statistics – in reality, our conscious selves are the only ones out of the loop! Learning and using statistics can help with interpreting data, making formal conclusions about data, and understanding the limitations and qualifications of those conclusions.
In my last post, I explained a project in my PSY/NEU 338 course that lent itself well to statistical analysis. I walked through the process of collecting the data, using a Google Spreadsheet for computing statistics, and making sense of what a ‘p-value’ is. In this post, however, I walk through how I went about visualizing these results. Interpretation of data is often not complete before getting a chance to see it. Plus, images are much more conducive than a wall of text when it comes to sharing results with other people.
In PSY/NEU 338, From Animal Learning to Changing People’s Minds, my group recently presented our capstone project for the course: we researched irrationality, trying to understand when humans make irrational decisions, how that is implemented in the brain, and if certain things might actually be incorrectly labeled as ‘irrational’. Our emotions are a leading example: although some call them irrational, in practice, they play a key role in fine-tuning our decision-making and reasoning abilities. When you’re happy, for example, everything might be going more positively than expected. Your mood is thus encouraging you to continue the behaviors that led to those rewards, since that positive trend might continue (for a neuroscientific discussion of this topic, see this paper).
To demonstrate this phenomenon first-hand, we had students in the class play what is known as the Ultimatum Game:
You are the proposer. You have been given $100. You are tasked with splitting your money with a stranger, the responder. If the responder accepts the split that you propose, you both keep the money after the game ends. If the responder does not accept, no one keeps the money.
The question: how much money do you decide to offer the responder?
After reading this, students had five seconds to provide their answer. They were then asked to report their mood. The question we wanted to answer was simple:
Is the amount of money people offered statistically different between those who reported “positive” versus “negative” moods?
In this post, I’ll explain some of the basic statistics I used to formally answer this question, bolding some key terms in the field along the way. In my next post, I’ll walk through the programming aspect for visualizing those statistics.
Getting PSETs done over Zoom can be a combination of awkward and challenging. To assist with that task, fellow PCUR Correspondent Ryan Champeau recently wrote a post with suggestions for working on PSETs in the age of remote learning. A great tip in that article is to collaborate with friends when permitted under a course’s collaboration policy. However, given that students can’t meet in person to work on assignments anymore, I’ve found the process of checking over PSETs to be a bit more difficult than usual.
Specifically, I’m taking QCB 455, an introductory course to quantitative and computational biology in which there are four total problem sets. As a neuroscience major in a class filled with computer science majors and some graduate students, I didn’t really know many people in the course. Going over the first PSET with people I didn’t know over Zoom felt a bit strange, but I’ve since found that there are actually a few benefits to going over PSETs that are specific to the remote experience. In this post, I’ll go over the three strategies I’ve started to use when collaborating on PSETs for my classes:
Oh, it’s unfortunate that your classes are all online now… But all the extra free time must be nice, right?
Actually, no. Somehow, I have ended up in a place where I’m busier than I was back when school was offline. And that’s without Powerlifting Team practices, the thirty-minute dinners that consistently turned into three-hour-long social gatherings, and all of the hours I spent working on-campus jobs.
I’ve realized it has to do with my relationship with time. In the past, I didn’t need to be very intentional with my free time: it always just happened. Nowadays I think back fondly to my naïve visits to the Rocky Common Room for pre-bedtime cereal-breaks, only to end up practicing handstands on the rug by the piano with my friends until 2 am.
Without spontaneous social interaction, I ended up filling up all of my time with work, clubs, projects, and research. Unfortunately for first-year students, these challenges are only compounded by the transition to college academics in general. Whether or not you feel like you’re busier this semester, I believe we can all benefit from evaluating how we make time for ourselves: below are five tips I’ve implemented to help facilitate a productive and sustainable semester this fall.
Recently, we’ve all had to do our best to adapt our coursework, extracurriculars, and past times to a remote format. Some activities – like hands-on research in a lab – may be difficult, or even impossible, to do over Zoom. For those of you looking to fill the gap, hackathons may be the solution. Hackathons are short programming events designed for students to learn new skills, meet new people, develop solutions to everyday problems, and win prizes. And because of the COVID-19 situation, many hackathons are turning virtual.
To hear a little more about what exactly hackathons are and who they might be a good fit for, I interviewed Princeton sophomore and Director of the TechTogether New York hackathon, Soumya Gottipati. For those of you who have recently hard your internships canceled, Soumya also let me know about internship opportunities you might be interested in!
For this year’s Winter Seasonal Series, entitled Research Resources: Unsung Heroes, each correspondent has selected a faculty member, staff member, or peer working for a research resource on campus to interview. We hope that these interviews will provide insight into the variety of resources available on campus and supply the unique perspective of the people behind these resources. Here, Kamron shares his interview.
A few weeks ago, I interviewed Sara Howard, the Gender and Sexuality Studies and Student Engagement librarian. I’ve found that I often don’t use all the available research resources to my benefit. Given that we have all recently transitioned on an online learning community, consider meeting with your librarian over Zoom!
In a recent post, I wrote about submitting an extended version of my R3 to the Gender, Work, and Organization Conference in the United Kingdom. Although I’m very excited to attend the conference, a new challenge has recently presented itself to me: securing funding.
In this post, I’ll detail some of my experiences finding funding for my conference. Considering that many of you have recently applied for Princeton Research Day and may be considering submitting your manuscripts for publication in a journal or for a conference, I hope this post is helpful!
So you’ve just finished your JP, a dean’s date assignment, or some other research project. Considering how fast things seem to move here, you might have already forgotten about it – that’s how I felt when I turned in my R3 my first year.
However, I ended up taking another look at my R3 to prepare my presentation last spring for the Mary W. George Research Conference – the biannual writing conference – (tips on doing that here). During that process, I recognized some significant changes and expansions I could make on my R3, but I didn’t think much of it at the time.
After presenting my R3, I was encouraged by my writing
seminar professor and some of my peers to expand my work and submit the
manuscript for a conference or for publication. After submitting to a
conference and to multiple research journals, here are some of my takeaways from
the publication process:
We spend a lot of time finding and deciding what internships and jobs to pursue over the summer. There are quite a few posts on this blog alone that help with that process, including this one. After exploring my options, I think I know what I’ll be doing this summer: staying on campus to do research in a neuroscience lab (an experience I’ll talk more about in a future post).
knowing what I’ll be doing this summer isn’t all there is to finalizing my
summer plans. For one, I don’t know how my experience will actually be funded. Second,
I’m unsure where I’ll be staying for the duration of my research.
To better finalize my plans, I turned to SAFE, the Student Activities Funding Engine. SAFE is a website where students can apply for funding for internships and other activities. In addition to finding a relevant funding source for my summer plans, I came across many other interesting funding opportunities for students who have secured unpaid internships over the summer. I’ve gone ahead and summarized a few of them below.
It’s that time of year again: everyone is spending endless amounts of time browsing and discussing the available spring courses with their friends, advisers, and mentors. The buildup is for good reason: it’s important to put together a balanced, enjoyable course schedule (for tips on how to go about doing that, check out this post).
I’ve personally had my eye on NEU 350, the neuroscience major requirement known for teaching data analysis techniques and lab procedures. Thus far in my Princeton career, I’ve learned a lot about theoretical methods within the discipline, but I’ve yet to actually apply those methods myself and work with real data. I wanted to take the class to learn these skills and broaden my understanding of what actual work within the neurosciences looks like.
However, I noticed under the “Prerequisites and Restrictions” header of the course on the registrar website that sophomores need permission from the Instructor to take the course. I found this odd considering that many sophomores are enrolled in NEU 314, a class that is typically taken by neuro majors the semester before NEU 350. The need for instructor permission felt intimidating to say the least, and in this post, I’ll share a few steps I took to learn more about NEU 350 and whether or not I should take it this spring.