Data Science and Health Initiative (DASHI): Brainstorming Workshop

DASHI Brainstorming Workshop

DASHI invites applications for pilot projects in the intersection of Artificial Intelligence (AI) and Health Sciences. Towards that end, DASHI will encourage the formation of interdisciplinary project teams through a cross-campus brainstorming workshop.

We encourage health scientists and data scientists across Columbia University to join the workshop and explore pathways for collaboration with selected DASHI project PIs.

Workshop Format: The workshop will include two plenary research presentations from invited speakers; three sessions of lightning talks from selected PIs who are seeking collaborators; and three sessions of breakout groups for PIs to share the scope of their projects and meet with potential collaborators.

SEE THE FULL AGENDA HERE

Workshop Goal:The goal for this event is to support collaboration, strengthen teams, and advance project summaries before PIs submit a full pilot proposal. Following the workshop, the thus formed team of contact-PI and their selected co-PI(s) may submit a full, 3-page application for seed funding of the pilot project. This proposal should delineate a path towards external funding of the project beyond its pilot stage.

DASHI Budget: DASHI expects to fund at least 2 projects, up to $75k each.

PI Eligibility Criteria: Any faculty member/research scientist across the campus at either Morningside or CUIMC. Postdocs can participate in a collaborative team.

Timeline:

• Brainstorming workshop date: Friday, December 10, 2021
• Full pilot proposal deadline: Friday, January 7, 2022
• Notification: Tuesday, January 18, 2022
• Expected project start for selected proposals: Tuesday, February 1, 2022

Other collaboration opportunities: Ongoing and/or upcoming avenues for funding, including the Herbert Irving Comprehensive Cancer Center (HICCC) VELOCITY Data Science Fellowship; and the Data Science Institute Seed Funds Program.

About DASHI: The Data Science Institute and Columbia University Irving Medical Center have a new partnership focused on building collaborative research projects that leverage foundational data science for new clinical advances. On the biomedical side, this is driven by emerging access to large scale complex datasets due to recently deployed technologies, e.g. in imaging, genomics, and electronic health records. These data challenges are looking for analysis tools to tackle them. On the engineering side, method developers are seeking data to sink their teeth into and test their developments in real-world settings. The new Data Science and Health Initiative (DASHI) aims to bridge this gap and create synergy between our institutional strengths.