Welcome

I’m Founder and CEO of Skopos Labs, Inc., an A.I. software company, an Affiliate at Harvard’s Berkman Center, and a Research Fellow at NYU.

Recent coverage of my research in Science.

Recent talks:

• “Explaining Algorithmic Decisions” at the TTI/Vanguard. Washington, D.C.
• “The Perils and Promise of Predictive Analytics in Law” at the Stanford Center for Legal Informatics in Stanford, CA.
• “Gov2Vec: Learning Distributed Representations of Institutions and Their Legal Text” at the Conference on Empirical Methods in Natural Language Processing Workshop on Natural Language Processing and Computational Social Science.
• “Text Modeling for Understanding and Predicting the Federal Government” at the Institute for Operations Research and the Management Sciences Annual Meeting.
• “Machine Learning and Legal Prediction” at Fin Legal Tech Conference, Illinois Tech - Chicago Kent College of Law.
• “Predicting and Understanding Law with Machine Learning.” Data Science D.C. August Presentation at George Washington University, Washington D.C.
• “Distributed Representations of Institutions and Their Policy Text” June Presentation at International Conference on Computational Social Science, Evanston, IL.
• “Modeling Text for Legal Prediction and Analysis” May Presentation at Gruter Institute for Law & Behavioral Research Annual Conference, Lake Tahoe, CA.
• “Natural Language Processing for Large Legal Databases” April Presentation at the Workshop on Frontiers of Artificial Intelligence and the Law.
• “Predicting and Understanding Human Cooperation” March Presentation at Vanderbilt Microeconomics Seminar.
• “Forecasting Agricultural Productivity with Remote Sensing and Machine Learning”, March Presentation at Annual Meeting of National Science Foundation Water Sustainability and Climate Investigators, Arlington, VA.
• “Data-Driven Dynamic Decision Models” December Presentation at the 2015 Winter Simulation Conference, Huntington Beach, CA.
• “An R Package for Data-Driven Decision Modeling” October Presentation at Nashville R Users Group.

Websites for my open-source software packages:

• datafsm: Estimating Finite State Machine Models from Data
• forecastVeg: Python Scripts for Forecasting Vegetation Health
• predMarket: A Climate Prediction Market Simulation Model
• sa: Sensitivity Analysis for Complex Computational Models
• eat: Empirical Agent Training Software for Data-Driven Modeling
• agp: Agent Gentic Programming Software for Data-Driven Modeling