SEED Grant Program 2021-2022

Data sciences can enable transformative research in many disciplines. However, initiating such work can be difficult and needs partners and expertise that may be difficult to find. The Data Intensive Studies Center (DISC) will help Tufts researchers overcome these barriers. Through this effort we seek to accelerate well defined X+Data sciences efforts on campus that can target high impact research and in appropriate areas large sponsored research efforts e.g. NSF TRIPODS Phase II, NIH BIG Data to Knowledge, AI Institutes.

DISC will support such efforts with a seed grant of up to $20,000 and access to data scientists, data sets and other expertise at DISC. Project should initiate a new group effort or provide new direction and significant enhancement to an existing group’s work.


FY2021 SEED Grant Winners

Predicting Dialogue Acts from Annotated Conversational Corpora

Team Lead: JP de Ruiter (SoE)

Team Member: Charles Threlkeld (SoE)


Establishing a Data-Based Classification Criterion for Deep Eutectic Solvents

Team Lead: Prof. Matthew Panzer (SoE)


Enhancing Security, Utility, Access, and Impact of Big Data on Youth Voting in America

Team Leads: Dr. Nancy Thomas and Dr. Kei Kawashima-Ginsberg (TISCH)

Team Members: Prabhat Gautam, Dr. Kelly Siegel-Stechler, and Sarah Keese (TISCH)


Unsupervised Clustering for Molecular Dynamics: Internal Distance Geometry and Manifold Dictionary Learning

Team Leads: Prof. Yu-Shan Lin and Prof. James M. Murphy (A&S)


Deep-learning enhanced multi-parametric quantitative ultrasound and photoacoustic imaging for early prediction of treatment response and recurrence

Team Lead: Dr. Srivalleesha Mallidi (SoE)


Systematic Inference Of Viral Phenotype Through AI Approaches

Team Lead: Jonathan Runstadler (Cummings)

Team Members: Martin Allen (SoE) and Laura Borkenhagen (Cummings)


Parsing single cell transcriptomics with tissue localization and neurological behavior

Team Lead: Shruti Sharma (TSUM)

Team Members: Katherine Sulka (TSUM), Jacob Hopkins (TSUM), Machlan Sawden (TSUM), Albert Tai (TSUM), and Eric Reed (DISC)


Agent-Based Computation and Data (ABCD)

Team Lead: Bruce M. Boghosian (A&S)

Team Members: Marc Hodes (SoE) and Peter J. Love (A&S)


Physics Guided Deep Learning for Actionable Outcomes

Team Lead: Shafiqul Islam (SoE)

Team Members: James Adler (A& S), Laurie Baise (SoE), Georgios Georgalis (DISC), Xiaozhe Hu (A&S), Eric Miller (SoE), Babak Moaveni (SoE)


Study Group for Spatial Multiomics

Team Leads: Michael T. Chin (TMC), Paola Sebastiani (TMC), and Albert Tai (TSUM)

Team Members: Rebecca Batorsky (CTSI), Heather Gardner (Cummings), Paul Mathew (TMC), Tanya Karagiannis (CTSI), Anastasia Gurinovich (TMC) and Eric Reed (DISC)


TUFTS University Art Collection HACK-A-THON Working Group

Team Lead: Dina Deitsch (SMFA)

Team Members: Anna Haensch (DISC), Laura McDonald (SMFA)


FY2020 Grant Winners