Future Data Lab
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; and training programs for spatial data science.
Website: https://futuredatalab.org/
China Data Institute
China Data Institute is one of the primary data providers for China data services. Its missions are: to support research in the human and natural components of local, regional and global change; to promote quantitative research on China; to promote collaborative research in spatial studies; and to promote the use and sharing of China data in teaching and research.
Website: http://chinadatacenter.net
Center for Geographic Analysis at Harvard University
The Center for Geographic Analysis at Harvard University is a member organization of Harvard’s Institute for Quantitative Social Science, and one of the research sites in the Spatiotemporal Innovation Center funded by the US National Science Foundation’s Industry–University Cooperative Research Centers Program. Its core mission is to advance and support research and teaching in all disciplines across Harvard University with emerging geospatial technologies.
Website: https://gis.harvard.edu/
KNIME
KNIME, short for “Konstanz Information Miner,” is an open-source platform designed to empower data science endeavors right from their inception. Developed by a team with a robust scientific background, KNIME is tailored for the seamless transition of data science into production. KNIME boasts a thriving user community of over 300,000 individuals spanning various industries and hailing from more than 60 countries. This broad user base underscores its versatility and widespread adoption. At its core, KNIME offers a potent open-source solution for data analytics, reporting, and integration. It features an intuitive graphical interface that democratizes data science, enabling data scientists, analysts, and researchers to construct data workflows, execute data preprocessing, conduct analyses, and visualize results without necessitating extensive programming expertise.
Website: https://www.knime.com/
