Dr. Micah Altman is Director of Research and Head/Scientist, Program on Information Science for the MIT Libraries, at the Massachusetts Institute of Technology. Dr. Altman is also a Non-Resident Senior Fellow at The Brookings Institution. Prior to joining MIT, Dr. Altman served at Harvard University for fifteen years as the Associate Director of the Harvard-MIT Data Center, Archival Director of the Henry A. Murray Archive, and Senior Research Scientist in the Institute for Quantitative Social Sciences.
Dr Altman conducts work primarily in the fields of social science, information privacy, information science and research methods, and statistical computation -- focusing on the intersections of information, technology, privacy, and politics; and on the dissemination, preservation, reliability and governance of scientific knowledge. Read more about Micah Altman
Cavan Capps is the U.S. Census Bureau’s Lead on Big Data processing. In that role he is focusing on new Big Data sources for use in official statistics, best practice private sector processing techniques and software/hardware configurations that may be used to improve statistical processes and products. Previously, Mr. Capps initiated, designed and managed a multi-enterprise, fully distributed, statistical network called the DataWeb. The 'DataWeb' is a data library of networked statistical databases from all federal statistical data domains, with sophisticated visualization, descriptive analytics, data integration and dashboard construction tools. The DataWeb is the source of official API to Census data products.
Ms. Hopkins is the Program Administrator for the MIT Libraries Program on Information Science and supports Dr. Altman in the preparation of events and activities for the program. She is also involved with the Information Technology & Digital Development program at the MIT Libraries and is the administrative face of Cubespace.
Ron Prevost is a senior executive with more than 25 years of project and program management experience and a technical expert for big data, record linkage, and the statistical modeling of integrated data to improve the national statistical infrastructure and support policy and social analysis.