So, in my ongoing science communication efforts, I have been experimenting with visual formats for summarizing research/complex scientific concepts in simple-to-understand and fun ways.
Thus, my #ResearchMonday series on Instagram (which, of course, features #ResearchCat). It was during the last live Twitter Chat with our Science Communication Journal Club that I realized something: participants were sharing amazing sources and articles on the topic, but I absolutely knew I was not going to read them in the nearest future considering other priorities. That’s when I wished there could be some simple memes or visual summaries of key points i’d find useful (and that would truly encourage me to read the rest of the paper).
I very much like Instagram’s swiping posts, since it’s fantastic for self-paced story telling. Thus, this is where I’ve been playing with simple overviews of research articles. Click on each to go to see them:
Note: If new to Instagram, hover over the image & note the small arrow buttons on its sides (<) and (>). Click these to swipe through the post!
So far, I’ve been choosing papers I have most expertise in- health and nutrition. However, as you can see I’ve attempted to cover some very different topics as well (conscious AI!) The format is most definitely NOT set in stone, and I’d love any feedback on improvements.
Last week our lab held the last meeting for the semester. And to celebrate a great productive year we had… chocolate-covered insects. It’s a bizarre tradition carried over from ~1 ago when the lab studied disgust towards eating different animals 🙂
I will miss working with our fantastic undergraduate apprentices! This semester we focused on 2 projects: 1)using process tracing software to examine how much different types of information matter for making food healthiness judgments, and 2) measuring household wealth (& how it affects health) across the world.
The first project was my “baby”: after mostly survey and interview work over the past several semesters, I really wanted to try learning a new method. I both hated and loved it: the learning curve can be brutal, but once we got some preliminary results things felt worth it!
We used a process tracing software that allows you to analyze the decision making process of participants. We used this program to have people rate different foods on healthiness after checking some information about them. We gave them two types of information- positive (e.g. presence of vitamins) and negative (e.g. presence of artificial ingredients). Our pilot confirmed the hypothesis that people do in fact spend more time checking out negative information! (See chart: time/Y axis is in milliseconds)
For the other project I spent the last 7 MONTHS harmonizing and cataloguing the many assets and services used to assess household wealth in low-income countries. The main question for this project is to examine how economic inequalities shape global health outcomes (e.g. obesity in adults and child growth) and to test whether different pathways to wealth might shape these things differently. I’m happy to announce that we in fact DID finish all the data harmonization and merging (it was no spring picnic) and the lab will now begin analyzing the data and examining different dimensions of wealth.
Uhh I will miss this amazing team for sure.. but hey- in about a week I graduate! What a strange feeling it is!