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.
New Release of Geospatial Extension for Knime

As 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. 

Major functionality includes:

  • Reading and writing different geospatial files such as shapefiles or GeoJSON files
  • Performing spatial calculations such as computing the area of a polygon, computing distances, performing spatial joins, and other spatial manipulations
  • Spatial Transformation nodes that convert points to lines or harmonize the projection of two different datasets
  • Built-in visualization nodes for interactive views that can be included in KNIME Data Apps, and richly configurable static maps for  presentations or reports
  • Nodes to easily access publicly available data such as Open Street Map or the US Census data
Click here for latest news about the Geospatial Analytics for KNIME at https://hub.knime.com/center%20for%20geographic%20analysis%20at%20harvard%20university/extensions/sd...

Subscriptions

China Data Online
http://statistics.futuredatalab.org

China Geo-Explorer
http://cge.futuredatalab.org

Events

2024 Summer Workshop on Spatiotemporal Innovation, July 16-19, 2024

https://projects.iq.harvard.edu/chinadatalab/event/summer-workshop-spatiotemporal-innovation-2024 

2024 Symposium on Spatiotemporal Data Science: GeoAI for Social Sciences, July 22-24, 2024

https://projects.iq.harvard.edu/chinadatalab/event/symposium-spatiotemporal-data-science-geoai-social-sciences 

An Integrated Approach for the Spatiotemporal Assessment of Public Policies, September 12, 2023
https://projects.iq.harvard.edu/chinadatalab/event/integrated-approach-spatiotemporal-assessment-pub...
The Symposium on Spatiotemporal Data Science, July 15-16, 2023
https://projects.iq.harvard.edu/chinadatalab/event/symposium-spatiotemporal-data-science
The Summer Leadership Workshop on Spatiotemporal Innovation, July 10-14, 2023
https://projects.iq.harvard.edu/chinadatalab/event/summer-workshop-spatiotemporal-innovation      

Spatiotemporal Innovation Workshop: The Development of Python-based KNIME Extension and KNIME WebPortal for Geospatial Analysis and Simulation Online, Jan 13, 2022
https://www.eventbrite.com/e/505780341617  

Spatiotemporal Innovation Workshop on Social Media Sentiment Analysis

https://chinadatacenter.net/Learming/SeminarsContent.aspx?id=12109 

Spatiotemporal Innovation Workshop: Assessing the Spatial Inequality of Healthcare Accessibility
https://chinadatacenter.net/Learming/SeminarsContent.aspx?id=11109   

Introduction to Weibo Mobility Index Data
https://www.eventbrite.com/e/271321769717  

Monthly Training Webinars on Research Data
https://www.eventbrite.com/e/87068378865/  

Monthly Training Webinars on Workflow-based Data Analysis
https://www.eventbrite.com/e/121260468325 

Webinars on “Spatiotemporal Study of Urban Dynamics”
https://www.eventbrite.com/e/141192579807 

Workshops on Data Analytics
http://workshops.futuredatalab.org 

Webinar for Resources for COVID-19 Study
https://doi.org/10.7910/DVN/OTYQUY 

Webinars on Modeling COVID-19 Pandemic
https://doi.org/10.7910/DVN/NXF45W 

Webinar Series on COVID-19 Impact Analysis  
https://doi.org/10.7910/DVN/TGORYN

Cloud for Research and Education

http://knime.futuredatalab.org