John S. Erickson

John Erickson
Director of Research Operations, Director of Web Science Operations
Email: erickj4@rpi.edu
Twitter: https://twitter.com/olyerickson

John S. Erickson, Ph.D. has spent over two decades studying the unique social, legal, and technical problems that arise when managing and disseminating information in the digital environment. Currently Director of Research Operations at the Rensselaer Institute for Data Exploration and Application (IDEA) and Deputy Director of the Web Science Research Center of the Tetherless World Constellation (TWC) at Rensselaer Polytechnic Institute (RPI), John coordinates, contributes, and teaches. Prior to joining RPI John was principal investigator on research at Hewlett-Packard Labs focusing on policy-based management and personalization of distributed, heterogeneous digital object repositories, content processing architectures and collaboration systems. Before joining HP John was an entrepreneur, having created the first Web-based service to fully automate the complex copyright permissions process for a variety of media types, and the first digital rights management (DRM) technology to facilitate dialog and metadata exchange between content creators and users.


Interests: Health informatics, Web Science
Affiliations: Tetherless World Constellation, Rensselaer Polytechnic Institute, The Rensselaer Institute for Data Exploration and Applications

Projects as Research Staff

The Center for Health Empowerment by Analytics, Learning, and Semantics (HEALS) is a five-year collaboration between Rensselaer and IBM aimed at researching how the application of advanced cognitive computing capabilities can help people to understand an

The aim of the Semantic Data Dictionary (SDD) approach is to annotate datasets such that it is machine readable, uses best practice ontologies, and follows FAIR Guiding Principles.
HADatAc (Human-Aware Data Acquisition framework) is an open-source infrastructure that enables combined acquisitions of data and metadata in a way that metadata is properly and logically connected to data.

The Web Science Research Center at TWC RPI is working with other members of the Web Science Trust to create a global "Web Observatory".

Recent advances in data generation techniques, whether by experiments, measurements or computer simulation, quickly provide complex data characterized by source heterogeneity, multiple modalities, often high volume, high dimensionality, and multiple scales (temporal, spatial, and function).

Selected Publications

Selected Presentations