Illinois Mathematics and Science Academy
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Equity in STEMM Innovation and AI (EQ-SI) Grant Writing and Program and Web Development
No full textEquity in STEMM Innovation and AI (EQ-SI) is a diversity-driven organization aimed to increase female and racial minority presence in the medical field. EQ-SI was created by Ms. Dima Elissa, who is also the CEO of VisMed3D, a biotechnology consulting company. Our business project catalyzed many of EQ-SI’s projects including the expansion of the curriculum and development of STEMM Prep+, a summer program designed to increase diversity and inclusion among motivated STEM students, developed EQ-SI’s website while supplementing it with the development of a Fitness Quiz for startup developers, and ultimately writing two grants, one for the aforementioned STEMM Prep+ program and the other for a collaborative program the Aparecio Foundation for college women interested in medicine. Over the course of six months, Ms. Dima provided us with work opportunities to design and organize the EQ-SI website, develop a curriculum focused on addressing socioeconomic and racial barriers. Ms. Dima additionally arranged consultations with real business professionals, who offered feedback on our progress. VisMed3D benefited from our work, as it was capable of launching EQ-SI’s website for future consumer use and developed its consumer outreach through the development of the aforementioned programs
Delineating Perceived Chicago Neighborhood Boundaries Using Crowdsourced Geospatial Data
No full textAcknowledging the limitations of the formal designations of the 77 Community Areas identified over a century ago in Chicago, this research aims to close the gap between these outdated definitions and the dynamic perceptions of the city\u27s residents. This project investigates the complex urban landscape of Chicago, a city renowned for its diverse and multifaceted neighborhoods, through a novel crowdsourced approach. Utilizing a web-based interactive tool, data was collected on residents\u27 perceived neighborhood boundaries all throughout Chicago in the form of polygons, a method previously explored but not thoroughly analyzed for its research and policy implications. Crowdsourced polygons were analyzed utilizing R for advanced data analysis and visualization, while the application of QGIS facilitated detailed geospatial analysis and mapping, enabling the transformation of subjective perceptions into quantifiable, visual maps. Different mapping methods were employed as well, the most prominent being a raster-based method for evaluating polygon agreement. Through this novel approach, the research aims to offer a more accurate and resident-informed delineation of neighborhood boundaries that provides more of a contemporary urban landscape
H++ Electron Cuts and Z Veto
No full textThe doubly charged Higgs boson is a Higgs-like scalar particle that arises in certain extensions of the Standard Model. In a search for the H++ particle at the CMS experiment at the Large Hadron Collider (LHC) we investigate the decay of the H++ particle in the context of the left-right symmetric model (LRSM) so that we might reconstruct collected data to set mass limits on the Higgs. For Higgs reconstruction we test a minimum pT cut for electrons from 5 to 35 GeV and find that the 10 GeV cut yields the highest efficiency. We test this minimum pT cut against 12 different electron cuts and find none of these cuts to have a better performance. We also test a Z veto cut for same sign lepton pairs with invariant mass between 76 and 106 GeV which we find to boost performance
Family Reading night 2024
No full texthttps://digitalcommons.imsa.edu/frn_images_2024/1016/thumbnail.jp
Family Reading night 2024
No full texthttps://digitalcommons.imsa.edu/frn_images_2024/1036/thumbnail.jp
Family Reading night 2024
No full texthttps://digitalcommons.imsa.edu/frn_images_2024/1044/thumbnail.jp