Rapid fabrication technologies, commonly known as “3D Printing,” enable the rapid creation of physical objects based on digital designs. Scanning technologies enable the opposing process, the creation of digital models derived from physical objects. This site provides information resources on 3D printing and scanning, and on library research projects regarding these technologies.
- Makers in Libraries
- Big Data Workshops
- Revealing the Invisible
- Data Sharing System for Journals
- Privacy Tools
The United States Census and the Program on Informatics at the Massachusetts Institute of Technology are convening a series of workshops to examine computational, social-scientific, statistical, and informatic challenges to building the next generation of official statistics. These workshops bring together select groups of experts in universities, industry, and the U.S. government to explore diverse approaches to engaging big data to inform a series of selected exemplar use cases faced by statistical agencies.
Virtual learning environments are an increasingly important component of individualized learning in STEM domains. New technologies (including biometry and neuroimaging) provide new opportunities to unobtrusively measure student engagement and learning at scale. This project utilizes these technologies to provide foundational knowledge of the ways in which measures of implicit learning from lab settings, ubiquitous sensors, and big data might be linked to explicit learning to develop games and online educational systems that are adaptive to diverse learners.
The drawing of electoral districts is among the least transparent processes in democratic governance. All too often, redistricting authorities maintain their power by obstructing public participation. The resulting districts embody the goals of politicians to the detriment of the representational interests of communities and the public at large. We have developed DistrictBuilder to increase participation and transparency in the electoral process.
This project will help establish a formal linkage between scholarly publications and the underlying research data by integrating the OJS PKP and Harvard Dataverse Network systems.
This project defines and measures privacy in mathematical and legal terms, and explores alternate definitions of privacy that may be more general or more practical. The research aims to provide a better understanding of the practical performance and usability of a variety of algorithms for analyzing and sharing privacy-sensitive data. The project will develop secure implementations of these algorithms and legal instruments, which will be made publicly available.
The Program on Information Science seeks to solve emerging problems in information management that are essential to support new and innovative services, and to amplify the impact that MIT can have on the development of information science, information policy, and scholarly communication through participation the development of standards, policy, and methods related to information science and information management.
- Differential Privacy: A Primer for a Non-Technical Audiance
- Evaluating and Promoting Open Data Practices in Open Access Journals
- Digital Preservation Metadata Practice for Disk Image Access
- Components of partisan bias originating from single-member districts in multi-party systems: An application to Mexico
- Practical Approaches to Big Data Privacy Over Time
- Software Citation Principles
6/21/2017 12:00pm to 1:00pm
9/25/2017 12:00pm to 1:00pm
10/23/2017 12:00pm to 1:00pm