About Research Topics Application Criteria

Open Positions @ NJIT's Intelligible Information Visualization (NiiV) Lab

Contact me: Aritra Dasgupta, Assistant Professor, Department of Data Science

aritra.dasgupta@njit.edu | aedeegee.github.io
I am recruiting 2-3 PhD students for Fall 2024 as part of the PhD in Data Science program at NJIT. In our research lab, NiiV, we pursue research questions at the intersection of data-driven sensemaking and human-AI communication. By embracing a human-centered approach that ultimately culminates in designing, building, and testing interactive, human-AI communication methods and interfaces, we aim to preserve the best of both worlds: the power of computational methods and that of human judgment and reasoning. Our research contributions lie in the areas of visual analytics, information visualization, and, more broadly, human-centered data science. Recent news stories published about my research: NSF, DOE, Social media research story.

Research Topics

Some of the research topics we are addressing include (but are not limited to) the following:
  • Funded by NSF Design and evaluate interactive explanation methods (XAI+visualization) for algorithmic rankers
  • Funded by NSF In collaboration with organizational psychologists and AI researchers, develop and evaluate transparent data-driven solutions for hiring AI
  • Funded by DOE Develop human-machine teaming tools for secure cyber-physical systems such as the electric grid
  • Analyze how visual communication methods can aid evidence-based human reasoning
  • Study how novel human-AI interfaces should be designed for optimizing crisis (e.g., the pandemic) information communication
  • Explore the interplay between text-based and visual interfaces using a combination of GenAI and interactive visualizations for optimizing data-driven sensemaking of complex information

Application Criteria

Please apply here if you have:
  • a strong programming background in JavaScript, Python
  • a strong foundation in computational and statistical methods
  • GRE Quantitative Score >=163
  • a keen interest in human-centered data science
  • you are not craving instant gratification while trying out new things (simply because research outcomes take time)
Please fill out this form to get into the interview queue, early.