Author: Amelia England

  • A Skillet, Some Eggs, and a Story of Migration

    I didn’t know what shakshuka was until my partner moved to Boston and convinced me to try a bite during brunch one weekend when I was visiting town. Suddenly, I felt like I was seeing it everywhere- from Harvard students huddling in tiny cafés searching for the best skillet in the city to popular chain restaurants selling T-shirts that said “Let’s Shakshuka”, it raised a question for me: how did a North African one-pan meal end up with such a strong cultural presence in a city like Boston?

    To answer that, it helped to stop thinking about shakshuka as just a dish, but rather to see it as part of a much larger story about African food culture, movement, and adaptation.

    One of the most important insights from African food scholarship is that cuisine is not static. Rather than rigid recipes, many African dishes are better understood as flexible systems of cooking, shaped by environment, trade, and daily life (Chastanet, 2016). Historians of African foodways emphasize three key ideas in their writings:

    1. Adaptation to available ingredients
    2. Influence of trade and migration
    3. Communal methods of preparation and eating

    Shakshuka specifically reflects all three. It is built from simple, accessible ingredients to make a base of tomatoes, peppers, spices, and eggs and cooked in a single pan meant for sharing. But shakshuka can contain anything from spicy sausage, fresh jalepeños, beets, carrots, or feta cheese, depending on what is available at the time based on what traders bring to the area. Interestingly, even its core ingredient, the tomato, is not indigenous to Africa, but arrived through this global trade after the Columbian Exchange. In this sense, shakshuka is not an “unchanged tradition,” but a product of historical exchange and adaptation (Chastanet, 2016).

    Scholars argue that this kind of flexibility isn’t purely circumstational, it is foundational. Food evolves alongside people, responding to shifting environments and cultural influences.

    In many African culinary traditions, food is not defined solely by ingredients, but by how it is prepared and consumed. Communal eating, or sharing from a single vessel and using bread as a utensil, is central to the experience (Mintz & Du Bois, 2002).

    Shakshuka also fits this pattern. It is typically served in the same pan it is cooked in, with sourdough bread used to scoop the sauce and eggs. This style of eating reinforces social connection, emphasizing food as a shared activity rather than an individual one, which is paramount to relationship-building and social structure in Africa.

    The spread of shakshuka beyond North Africa follows patterns that scholars identify in diasporic food systems. When North African communities migrated, they brought their food traditions with them. In these new contexts, dishes often change. Food studies research shows that migrant communities adapt recipes based on new ingredients, social settings, and cultural expectations. Shakshuka’s transformation into a café and brunch dish reflects this process of cultural negotiation and identity preservation (Gabaccia, 1998).

    Beyond its cultural significance, shakshuka also aligns with the growing interest in health-conscious eating, particularly through its tomato-based foundation. Tomatoes are rich in lycopene, a carotenoid antioxidant associated with anti-inflammatory and cardiovascular benefits (Collins et al., 2022). Research suggests that regular consumption of tomato products may contribute to reduced risk of heart disease, lower blood pressure, and protection against oxidative stress due to the antioxidant properties of lycopene and related compounds . Importantly, cooked tomato dishes, like shakshuka, may provide even more available lycopene than raw tomatoes because heating tomatoes increases lycopene absorption in your body. This connection between traditional food practices and contemporary nutritional science helps explain why shakshuka fits naturally into modern food trends.

    By the time shakshuka arrived in the United States specifically, it had already undergone multiple transformations. Its popularity in cities like Boston reflects what scholars describe as the global circulation of food, where dishes move across borders and are reinterpreted to fit new cultural frameworks (Appadurai, 1988).

    In the United States, shakshuka aligns with existing trends of brunch foods centered around eggs, interest in Mediterranean and plant-forward diets, and desire for foods with cultural narratives. Boston provides a particularly strong environment for this kind of culinary adoption, in which large academic institutions scattered around the city house students from many different nations and cultures. Studies show that such environments accelerate the spread of diasporic foods (Mintz & Du Bois, 2002).

    What makes shakshuka compelling is that its journey to Boston is not necessarily an uncommon story, it is representative. African foodways have long been shaped by movement, trade, and adaptation, even if those histories are often underrepresented in mainstream narratives (Chastanet, 2016). Seen this way, shakshuka is not a fad, it’s a part of a much larger system of cultural exchange.

    And for me, it started with a simple question: why is everyone here so obsessed with this dish? The answer lies not only in the fact that it is very tasty, but in the history and cultural systems that made it possible.

    References

    Appadurai, A. (1988). How to make a national cuisine: Cookbooks in contemporary India. Comparative Studies in Society and History, 30(1), 3–24. https://doi.org/10.1017/S0010417500015024

    Chastanet, M. (2016). Towards a history of foodways in Africa. Afriques, 7. https://doi.org/10.4000/afriques.1857

    Collins, E. J., Bowyer, C., Tsouza, A., & Chopra, M. (2022). Tomatoes: An extensive review of the associated health impacts of tomatoes and factors that can affect their cultivation. Biology, 11(2), 239. https://doi.org/10.3390/biology11020239

    Gabaccia, D. R. (1998). We are what we eat: Ethnic food and the making of Americans. Harvard University Press.

    Mintz, S. W., & Du Bois, C. M. (2002). The anthropology of food and eating. Annual Review of Anthropology, 31, 99–119. https://doi.org/10.1146/annurev.anthro.32.032702.131011

  • How Pymol Lets You Visualize DNA in 3D

    Have you ever wondered how scientists look at proteins or DNA? Here’s the secret- they don’t actually look at physical molecules all that often! Frequently, they use softwares like PyMOL. PyMOL is a widely used molecular visualization program that converts structural data into detailed 3D models, allowing scientists to rotate, zoom, and explore molecules interactively. It was originally developed by Warren Lyford DeLano and has become a standard tool in structural biology and chemistry (DeLano, 2002).

    PyMOL works by reading files that contain the exact positions of atoms in three-dimensional space, often obtained from experimental techniques like X-ray crystallography and stored in databases such as the Protein Data Bank. Using this coordinate data, the program reconstructs molecules and displays them in different visual styles, including sticks, spheres, and ribbon diagrams that highlight protein folding patterns. These visualization approaches are essential for understanding how molecular structure relates to function and are widely used in both research and education (Sehnal et al., 2021).

    What makes PyMOL especially powerful is how interactive and customizable it is. Scientists can highlight specific regions of a molecule, measure distances between atoms, and even model how molecules might interact with each other- something that is especially important in drug design and biochemistry. Because it translates complex data into intuitive visuals, PyMOL helps bridge the gap between abstract molecular concepts and real-world understanding, making it a valuable tool not just for scientists, but also for students learning about the molecular world.

    References:

    DeLano, W. L. (2002). PyMOL: An open-source molecular graphics tool. San Carlos, CA: DeLano Scientific. Available at http://www.pymol.org

    Sehnal, D., Bittrich, S., Deshpande, M., Svobodová Vařeková, R., Berka, K., Bazgier, V., Velankar, S., Burley, S. K., Koča, J., & Rose, A. S. (2021). Mol* Viewer: Modern web app for 3D visualization and analysis of large biomolecular structures. Nucleic Acids Research, 49(W1), W431–W437. https://doi.org/10.1093/nar/gkab314

    Berman, H. M., Westbrook, J., Feng, Z., Gilliland, G., Bhat, T. N., Weissig, H., Shindyalov, I. N., & Bourne, P. E. (2000). The Protein Data Bank. Nucleic Acids Research, 28(1), 235–242. https://doi.org/10.1093/nar/28.1.235

  • How We Can Detect Forest Fires from Space

    Wildfire seasons are becoming longer and more intense, and the speed at which a fire is detected can determine how much damage it ultimately causes. To improve early detection, researchers and government agencies are turning to an unexpected tool: satellites equipped with advanced thermal sensors and AI-powered alert systems.

    Modern Earth-observation satellites can detect tiny temperature changes on the planet’s surface- sometimes only a few degrees above normal. When a hotspot appears in a remote forest or grassland, the satellite sends the data to a processing center, where algorithms analyze the signal to determine whether it is likely to be a wildfire, a controlled burn, or simply a patch of warm ground. This automated screening filters out false alarms and helps firefighters focus on genuine threats.

    One major advantage of satellite detection is coverage. Traditional lookout towers or reporting systems depend on someone nearby noticing smoke. Satellites, however, pass over the same region several times a day, and some specialized systems- like Europe’s Sentinel satellites or NASA’s FIRMS platform- can relay updates within minutes. In regions that are difficult to access by road, this can mean the difference between a quick response and a fire that grows out of control.

    The technology is also becoming increasingly accessible. Fire agencies, environmental groups, and even school programs now use public satellite dashboards to monitor hotspots in real time. Students studying climate science can open a web browser and watch how temperature, drought, and vegetation patterns influence fire risk across entire continents.

    Still, satellite monitoring has limitations. Heavy clouds, dense smoke, or short revisit times can delay detection. That’s why many regions combine satellite data with drones, ground sensors, and local reporting networks. Together, these tools create a layered system- one that aims to spot fires earlier, respond faster, and ultimately protect more people and ecosystems.

    As climate patterns shift, the need for rapid wildfire detection is only growing. Satellite technology is becoming a crucial part of the solution, offering a high-tech way to monitor the planet and catch fires before they spread.

     

    Works Cited

    European Space Agency. “Sentinel-3: The Mission.” ESA, 2023, https://www.esa.int/Applications/Observing_the_Earth/Copernicus/Sentinel-3.

    NASA. “FIRMS: Fire Information for Resource Management System.” NASA Earthdata, 2023, https://firms.modaps.eosdis.nasa.gov/.

    NASA. “How NASA Detects Wildfires From Space.” NASA Earth Observatory, 2022, https://earthobservatory.nasa.gov/features/Wildfires.

    Schroeder, Wilfrid, et al. “The New VIIRS 375 m Active Fire Detection Data Product.” Remote Sensing, vol. 6, no. 7, 2014, pp. 7125–7149. MDPI, https://doi.org/10.3390/rs6077125.

    United States Forest Service. “Early Detection of Wildfires Using Satellite Data.” USDA Forest Service, 2021, https://www.fs.usda.gov/research/.

  • The Microscope that can Think by Itself

    Artificial-intelligence technology is beginning to transform one of the oldest tools in science: the microscope. Researchers at institutions such as UCLA and Caltech are developing AI-powered microscopes capable of analyzing samples in real time, flagging unusual cells, and helping scientists diagnose diseases faster and more accurately.

    These advanced systems work by capturing high-resolution images and sending them through trained deep-learning models. When a researcher places a slide under the lens, the AI quickly scans thousands of cells, highlighting features that may indicate infection, cancer, or other abnormalities. Instead of relying solely on painstaking manual examination, scientists can use the AI’s suggestions as a guide, focusing their attention where it matters most.

    Early results have been promising. In several studies, AI-assisted microscopes identified harmful bacteria and subtle cellular changes at speeds that outperform traditional methods. Some algorithms were even able to detect patterns that are difficult for the human eye to notice, offering a powerful complement to expert analysis.

    What makes this technology especially impactful is its potential beyond major research hospitals. Schools, community clinics, and field labs could all benefit from microscopes that combine affordable hardware with intelligent software. Students learning cell biology could see the AI outline abnormal cells as they appear, while clinicians in resource-limited areas could diagnose infections more quickly and with improved accuracy.

    However, researchers emphasize that AI is not replacing human expertise. The algorithms must be trained carefully, and scientists still play a critical role in verifying results and preventing misclassification. The goal is not to remove humans from the process, but to strengthen diagnostic tools and make high-quality analysis more widely accessible.

    As AI continues to advance, the role of the microscope is shifting from simple magnification to intelligent interpretation. This fusion of computation and biology has the potential to accelerate diagnosis, improve education, and bring powerful analytical tools to places that need them most.

     

    Works Cited

    Ozcan, Aydogan, and Yibo Zhang. “Artificial Intelligence–Powered Optical Microscopy and Its Applications.” ACS Photonics, vol. 6, no. 11, 2019, pp. 2729–2741. American Chemical Society, https://doi.org/10.1021/acsphotonics.9b01029.

    Rivenson, Yair, et al. “Deep Learning Microscopy.” Optica, vol. 4, no. 11, 2017, pp. 1437–1443. Optical Society of America, https://doi.org/10.1364/OPTICA.4.001437.

    Zhang, Yibo, et al. “Pathologist-Level Interpretation of Microscope Images Powered by Deep Learning.” Nature Biomedical Engineering, vol. 3, 2019, pp. 1207–1215. Nature Publishing Group, https://doi.org/10.1038/s41551-019-0362-y.

    Caltech. “AI Microscope Can Help Diagnose Diseases in Real Time.” Caltech News, 3 May 2022, https://www.caltech.edu/about/news/ai-microscope-can-help-diagnose-diseases.

    University of California, Los Angeles (UCLA). “UCLA Engineers Develop AI-Powered Microscope to Automatically Detect Bacteria.” UCLA Newsroom, 12 Mar. 2020, https://newsroom.ucla.edu/releases/ai-microscope-bacteria-detection.

  • How Virtual Reality Makes Science Accessible

    Imagine putting on a headset, picking up a 3D-printed lab tool, and suddenly you’re in a virtual chemistry lab- pouring colorful liquids, watching reactions bubble and swirl, all without spilling a drop. That’s not science fiction anymore. At Arizona State University, researchers have created a “mixed-reality” chemistry lab that blends the real world with the digital one (Arizona State University, 2023).

    In a recent experiment, students used a 3D-printed burette- a tool chemists use for titrations- that connected to a computer simulation. When students turned the real valve, the digital liquid moved in the virtual flask (Amador et al., 2020; Meteor Studio, n.d.). They could watch the chemical reaction happen on screen, just like in a real lab, but with no mess or danger.

    The researchers wanted to see if this new kind of setup actually helped students learn chemistry better. The results were fascinating: students who already had some chemistry experience learned even more with the mixed-reality setup. But beginners, who were still figuring out the basics, did better with the simpler version on a regular computer screen (Johnson-Glenberg et al., 2023). That means the kind of tools we use to learn science might need to match where we are in our learning journey.

    What makes this so exciting is how it could change the way chemistry is taught. Schools that don’t have full lab spaces or expensive equipment could still give students the experience of “doing chemistry,” not just reading about it (Arizona State University, 2023). You can twist a valve, watch molecules react, and understand what’s happening- all while sitting in a classroom or even at home.

    It’s a powerful reminder that chemistry isn’t only about memorizing formulas or mixing real chemicals. It’s about understanding how things work- and technology is opening new ways to do that. Whether you’re a future scientist or just someone curious about how the world works, the chemistry classroom of tomorrow might not look like the one you know today. It might be part real, part virtual, and completely amazing.

     

    Works Cited

    Johnson-Glenberg, M. C., Yu, C. S. P., Liu, F., Amador, C., Bao, Y., Yu, S., & LiKamWa, R. (2023). Embodied mixed reality with passive haptics in STEM education: randomized control study with chemistry titration. Frontiers in Virtual Reality, 4:1047833. https://doi.org/10.3389/frvir.2023.1047833 

    Amador, C., Liu, F. W., Johnson-Glenberg, M. C., & LiKamWa, R. (2020). Work-in-Progress: Titration Experiment — Virtual Reality Chemistry Lab with Haptic Burette. In D. Economou et al. (Eds.), Proceedings of the 6th International Conference of the Immersive Learning Research Network (iLRN 2020), 363-365. IEEE. https://doi.org/10.23919/iLRN47897.2020.9155209 

    Arizona State University. (2023, October 13). A new class of chemistry experiments. ASU News. Retrieved from https://news.asu.edu/20231013-discoveries-new-class-chemistry-experiments 

    Meteor Studio, Arizona State University. (n.d.). Mixed Reality Virtual Titration Experiment. Retrieved from https://meteor.ame.asu.edu/projects/titration/ 

     

  • Genetic Engineering: Woolld you, or woolldn’t you?

    Imagine a tiny mouse with long, golden-brown fur that looks like it belongs on a woolly mammoth! As of a couple months ago, you don’t have to imagine- scientists at Colossal Biosciences recently created mice like this by using a technique called genetic engineering. They added mammoth genes found in fossils into mouse embryos so the mice would grow thick, shaggy coats and develop traits that helped mammoths survive in the Ice Age. The researchers conducted this experiment to help them understand how mammoths stayed warm, and this might even lead to creating elephant species that can live in colder climates.

    What is genetic engineering?

    Genetic engineering works by changing an organism’s DNA, which is like the instruction book for life. DNA is made up of genes, and each gene gives directions for a specific trait, like eye color, height, or how thick an animal’s fur is, in this case. Scientists use a tool called CRISPR to cut or edit DNA very precisely. This allows them to remove, add, or change certain genes to add in traits, or even create new traits. For example, in this experiment, mammoth genes were added to mice to see how they affected hair growth and temperature regulation.

    We can we really bring back extinct animals?

    The idea of bringing back extinct animals sounds exciting, but it also comes with serious challenges. The world has changed a lot since mammoths roamed the Earth. There are no longer huge frozen grasslands for them to live in, and reintroducing mammoth-like creatures could harm existing ecosystems or create competition for resources. Some scientists worry that these new animals might struggle to survive or suffer in modern conditions that are too different from their original habitats. While bringing extinct animal might be possible, you can’t feasibly bring back an extinct environment to house them in. Due to this, we can’t truly bring back extinct animals that would survive for long periods of time in the wild.

    There’s also an ethical side to think about. Just because humans have the power to change life and the ecosystem doesn’t always mean we should. Many experts believe our focus should be on protecting endangered animals that still exist rather than reviving ones that are long gone.

    The “woolly mouse” experiment shows how powerful genetic engineering can be- it lets scientists explore ancient life in new ways. But it also reminds us that with every new discovery, we have to remember that the question is not only can we do this, but should be do this?

    References

    1. Unknown author. (2025, March 4). Woolly mammoth extinction: Mice with mammoth-like traits raise hopes for genetic engineering. NPR. Retrieved from https://www.npr.org/sections/shots-health-news/2025/03/04/nx-s1-5299962/woolly-mammoth-extinction-mice-genetic-engineering
    2. Davies, J. (2025, March 10). Colossal Biosciences engineers mice with woolly mammoth traits. Chemical & Engineering News, 103(06). https://doi.org/10.1021/cen-10306-scicon5