Data Curation Awards

Funded for 2020

  • Diyi Yang (IC) & Mai ElSherief (IC): Defining, Characterizing, and Detecting Implicit Discriminatory Speech Online
  • Umakishore Ramachandran (CS) & Zhuangdi Xu (CS): Generating Labeled Vehicle Tracking Dataset for Large-scale Geo-Distributed Camera Networks
  • Surya R. Kalidindi (ME/CSE/MSE) & Christopher Saldana (ME): Advanced Materials-Manufacturing Data Curation
  • Agata Rozga (IC), Thomas Ploetz (IC) & external: Annotation of Datasets from Severe Behavior Treatment Program at the Marcus Autism Center

The Institute for Data Engineering and Science (IDEaS) will support acquisition or curation of datasets critical to the success of research conducted. Examples include, but are not limited to, supporting human annotation of unlabeled data, developing software for collecting data, and developing domain-relevant formats for storing data. Priority will be given to proposals that impact multiple investigators or enable new directions in research. Proposers may request budgets of up to $20,000 and storage of up to 20 TB.

The proposal should clearly describe

  • Why this award is critical to the success of the research
  • Expected outcomes
  • Impact on GT investigators and external research communities
  • Budget and brief justification for the requested funds


  • Applications are due January 10, 2020
  • Awards will be announced January 17, 2020
  • Funds must be expended by June 30, 2020