The Assured Information Sharing Lifecycle (AISL) was a three-year Multidisciplinary University Research Initiative (MURI) project sponsored by the Air Force Office of Scientific Research that focused on developing an integrated framework to support assured information sharing.
The research was framed by the recognition of a life cycle for shared information comprising five phases: advertising and discovery, negotiation for access and usage rights, integration and analysis, generation of new knowledge and data, and preparation of data for possible release. The project focused on creating novel assured information sharing models and frameworks and new policy languages and systems that support them. It also developed algorithms and systems for information integration, analysis, and mining that assure quality and protect privacy. The project also analyzed social aspects of information sharing including incentives for sharing and exploiting knowledge of underlying social networks and relations, and focused on implementing and evaluating experimental software architectures and systems to realize the assured information sharing life cycle.
The project was conducted under the guidance of three high-level objectives:
- To better understand the fundamental barriers preventing people and organizations from sharing information with appropriate constraints on security, privacy and quality;
- To design and develop new theoretical and practical mechanisms and techniques to eliminate or reduce those barriers; and
- To prototype components and systems embodying these ideas and evaluate the results
Motivated by numerous factors, including problems in managing sensitive information surrounding the Sept. 11, 2001 terrorist attacks on the World Trade Center, researchers saw increasing importance and challenges in managing Web information and services with appropriate security, privacy and simplicity. They also recognized the need for sharing across autonomous devices like mobile phones, routers and medical equipment, with particular interest paid to the privacy issues raised by electronic medical records.
The project focused on developing a software framework based on a secure semantic event-based service oriented architecture; novel policy languages, reasoning engines and negotiation strategies; and techniques for information integration, analysis and quality. IT also sought to secure knowledge management for AISL based on risk and incentives, and establish techniques to exploit social networks to enhance AISL. For each of these areas, researchers contributed to the underlying theory and algorithms and built prototypes of software components and systems.
Findings from this research have helped to shape a number of Professor Adamic’s studies, including the following:
- Recipe recommendation using ingredient networks, which devised an algorithm to guess how successful a recipe will turn out and created a “social network” for ingredients that helped to boost the accuracy of recipe recommendations.
- Coevolution of Network Structure and Content, which demonstrated that network structure can be highly revealing of the diversity and novelty of the information being communicated in online settings.
- Group Membership and Diffusion in Virtual Worlds, a study that examined social ties in virtual goods transfers and found that individuals a more likely to adopt a virtual good when they belong to the same groups as previous adopters.
- Memes Online: Extracted, Subtracted, Injected, and Recollected, a study that examined the evolution of information, particularly quoted text, as it was collectively processed in social media.
- Rating Friends without Making Enemies, which explored the challenges of faceted ratings on the social media site CouchSurfing.org, including differentiating and quantifying inherently subjective feelings such as friendship and trust.