Machine Ecologies and New Data Futures

Papers

• J. Dinu, J. Bigham, Z. Kolter. Challenging common interpretability assumptions in feature attribution explanations. ML-RSA Workshop @ NeurIPS 2020. arXiv:2012.02748.

Software

• Liminoid: A toolkit for building local-first analytics applications on the web

The Museum (or graveyard...)

• Learning Machine Learning through Making: Scaffolding authentic and engaging learning experiences through creative applications
• Factions: Uncovering Implicit Cliques in Parliamentary Voting with Probabilistic Latent Variable Models
• Crowd Terms: Identifying Terms & Conditions Important to Consumers Using Crowdsourcing and Pairwise Comparisons
• Scratch Viz: Constructionist Data Visualization Education
• Factitious Fiction: Emergent Narratives through Collaborative Storytelling