Mission Statement:
As an IRS tax-exempt nonprofit organization, Future Data Lab (FDL) is designed for provide a new generation of data services with cutting-edge methodology and technology.
The Future Data Lab is partnering with various academic and business partners on the following missions:
- spatial data services
- development of tools for spatial data analysis
- workflow based spatial data case studies
- training programs for spatial data science.
The Future Data Lab is pleased to announce the the new Fellowship program sponsored by the Spatial Data Lab project, which is designed to provide collaborative learning experience for scholars and graduate students. It offers tailored professional training in spatial data science, including open-source tools, workflow technology, geospatial data, spatial modeling, and their applications across different fields. The program gives a researcher the opportunity to develop technical skills in cutting-edge technologies, interdisciplinary research networks as well as leadership abilities. Those outstanding researchers will be recommended to apply for an onsite visiting scholar position at the Center for Geographic Analysis at Harvard University. For more details, please visit
https://projects.iq.harvard.edu/chinadatalab/spatial-data-lab-fellowship-program.
New Release of Geospatial Extension for KnimeAs a joint effort by the Center for Geographic Analysis from Harvard, KNIME and the Future Data Lab, the 1st version of Geospatial Extension for Knime was released with KNIME Analytics Platform 4.7 on December 6, 2022, which is free for download.
This new Geospatial Extension provides the ability to carry
out geospatial analysis within KNIME. In its first version, it will support the
most common vector data types such as points, lines, polygons, and collections
of those.