NCWIT Selects 2023 Collegiate Award Recipients

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The National Center for Women & Information Technology (NCWIT) Aspirations in Computing Program (AiC) is pleased to announce the recipients of the 2023 NCWIT Aspirations in Computing Collegiate Award, celebrating 47 undergraduate and graduate women, genderqueer, and non-binary students from 38 academic institutions nationwide. Conferred annually, the award recognizes technical contributions to projects that demonstrate a high level of innovation and potential impact.

The entire NCWIT AiC program platform is supported generously by Apple. AiC also receives support for specific national program elements; the NCWIT Collegiate Award is sponsored by Qualcomm and Amazon.

Winners

• Serena Ivery, Birmingham-Southern College; 
  ▶️ Clearing the Cobwebs: Benefits of Identifying Online Human Trafficking
  
• Anika Puri, Massachusetts Institute of Technology (MIT);
  ▶️ ElSa: A Novel Real-time Wildlife Poacher Detection Solution Leveraging Machine Learning Driven Spatio-temporal Analysis of Nighttime UAV Thermal Infrared Videos
• ​Swapna Throve, University of Virginia;
  ▶️ Data-Driven Scalable AI for Addressing Problems in the Study of Smart Grids
  

​​Honorable Mentions

• ​Noor Boukari, Dartmouth College;
  ▶️ Developing a Mobile App for Accessible Malaria Diagnosis Using Deep Learning Semantic Segmentation​
  
• Taylor Bradley, Johns Hopkins University;
  ▶️ Novelty Detection in Network Traffic: Using Survival Analysis for Feature Identification​
  
• Angela Busheska, Lafayette College;
  ▶️ EnRoute​
  
• Dominique Calder, George Mason University;
  ▶️ Building and Decaying a Document Corpus For Sub-Block Forensic Analysis​
  
• Portia Cooper, University of Arizona;
  ▶️ Training Transformer Models to Recognize Hate Speech Masked by Homoglyphs​
  
• Katelyn France, University of Minnesota - Duluth;
  ▶️ "Anaphylactic Shocker!" Creating Novel Medtech Devices and Supporting the Next Generation of Women in STEAM​
  
• Maliha Haider, Kean University;
  ▶️ Comparison of Yelp's Star Rating and Text Reviews​
  
• Dana Joseph, Dartmouth College;
  ▶️ Catalace: Using Artificial Intelligence and Precision Medicine to Accurately Predict Cancer​
  
• Victoria Li, Harvard University;
  ▶️ CROTON: An Automated and Variant-Aware Deep Learning Framework for Predicting CRISPR/Cas9 Genome Editing Outcomes​
  
• Rachel Masters, Colorado State University;
  ▶️ Virtual Reality Forest Bathing: Importance of Biomass for Stress Reduction in VR Nature​
  
• Eesha Nayak, University of Texas - Austin;
  ▶️ Nutri: Clinical Decision Support System (CDSS) to help primary care providers (PCPs) set personalized nutrition goals with patients​
  
• Katherine Skocelas, Michigan State University;
  ▶️ Understanding the Evolution of Multicellular Organisms

​​Finalists