Guest Author: ReMasterpieces: A Machine Learning Powered Provenance Research Tool

ReMasterpieces is an academic research project created with two goals in mind: first, to recreate missing works of art using computer vision and machine learning and present the works to the original owners and second, to educate and empower people to find the actual missing works of art.

New White Paper: Open Data and Data Visualization in Arts Organizations

Data collection and communication is an essential tool for effectively managing arts organizations. Data visualization techniques can reveal organizational or industry insights in a manner which is easy for managers to understand and communicate to their stakeholders. Explore sources for open source data, and low cost, high impact data visualization tools in this new white paper.

Interview with Emma Slayton: CLIR Fellow for Data Visualization

Emma Slayton, the Council on Library and Information Resources (CLIR) fellow for data visualization at Carnegie Mellon University, spoke with AMT Lab about data visualization tools, techniques, and methods. Emma sees many opportunities for this science to develop in the non-profit and arts sectors.