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 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