Workshop - KNIME Business Hub for Spatiotemporal Data Science

The Spatiotemporal Innovation Workshop

KNIME Business Hub for Spatiotemporal Data Science:

Research, Teaching and Business Applications

Organized by

• The Center for Geographic Analysis
• Spatial Data Lab Project

Description of the Workshop

Complementing the free and open source KNIME Analytics Platform, KNIME Hub provides a cyber-platform for all data workers to collaborate on and deploy KNIME workflows across the organization. You can search for nodes, extensions, components and workflows made available by the community on KNIME Hub. As an effort to promote reproducible and shareable spatiotemporal data analysis with web-based workflow technology, this workshop will give an introduction to KNIME Business Hub and KNIME Community Hub, discuss their applications for collaborative research and development, teaching and training, and business applications, and offer hands-on experience.

Topics include: (1) Introduction to KNIME Analytics Platform and KNIME Business Hub; (2) Applications of KNIME Hub for Research and Development; (3) Applications of KNIME Hub for Teaching and Training; (4)Applications of KNIME Hub for Business Applications; and (5) Practice with KNIME AP and Business Hub.

The workshop will be offered in a hybrid format. The registration is FREE for online participants and $380 for onsite participants.

Workshop Registration: 

• The workshop is free for Harvard members. Harvard members may register here: Harvard Member Registration. 
• Non-Harvard members may register here: Non-Harvard Registration.

Agenda:

1. Introduction to KNIME Analytics Platform and KNIME Business Hub

• Introduction of KNIME Analytics Platform
• Introduction of KNIME Business Hub and Community Hub
• Reproducible and shareable data science with spatiotemporal analysis

2. Applications of KNIME Business Hub for Research, Teaching and Business

2.1 Research use cases

• Enabling Collaborative Healthcare Research with KNIME/Workflow Hub
• Global Public Sentiment on Decentralized Finance: A Spatiotemporal Analysis of Geo-tagged Tweets from 150 Countries
• Making Remote Sensing Easier Through KNIME Business Hub
• Integrating Geospatial and AI into the CBDB Project with Workflow-Based Solutions

2.2 Teaching use cases

• Reproducible digital humanities education based on executable workflows
• Workflow-based spatial analysis in advanced GIS education
• Heath GIS education with Web-Based Workflows

2.3 Business use cases

• Leveraging KNIME Across Sectors 
• Exploring KNIME Business Hub Applications in Urban Planning

3. Practice with KNIME AP and Business Hub

• Working with the KNIME Analytics Platform
• Team work with KNIME Hub
• Working with DataApps

Instructors:

• Kwok-leong Tang, Fairbank Center for Chinese Studies, Harvard University
• Connie Chen, Government Department, Harvard University
• Hongsu Wang, China Biographical Database project (CBDB), Harvard University
• Xiaokang Fu, Lingbo Liu and Tian Tian, Center for Geographic Analysis, Harvard University
• Luyao Zhang, Duke Kunshan University
• Shenjun Yao, East China Normal University
• Xiaoling Fang, Planning Bureau in California
• Dashiell Brookhart, KNIME

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• A summary of workshop results is here.
• Workshop presentations can be found here.
• A recording of the morning sessions is here.
• A recording of the afternoon sessions is here.