Ecosystem-Based Research Acceleration with AI for Geographical and Social Analysis

Project Title

Ecosystem-Based Research Acceleration with AI for Geographical and Social Analysis

Project Description

Under this project, students will learn and experience the impacts of RMDS’s ecosystem-based acceleration with AI and explore their applications in their respective fields. Students will also have opportunities to contribute to new developments and refinements through data, algorithm, or application development.

Students will learn to:

Collect and integrate data and documents from various sources.
Apply the RMDS methodology and workflow technology to research projects in their field of interest.
Utilize AI and data technologies to assist in developing RMDS acceleration solutions.

 

Tasks and Responsibilities

Students will use the RMDS frameworks and tools to review literature, collect, process, and prepare data, and then assist in building or refining an AI acceleration application in a specialized field. They will also compile final reports and presentations on their projects.

Minimum Qualifications 

Interested in research methods and AI with some learning plus strong self-motivation.

Terms of the Project
(ex: 6 months or one year)

6 months

First Name

Dr. Alex 

Last Name

Liu

Job Title

Former IBM Chief Data Scientist and RMDS Lab director

Organization

RMDS Lab director

Email

Dr. Alex Liu former IBM Chief Data Scientist and RMDS Lab director