text-only page produced automatically by LIFT Text
Transcoder Skip all navigation and go to page contentSkip top navigation and go to directorate navigationSkip top navigation and go to page navigation
National Science Foundation HomeNational Science Foundation - Directorate for Computer & Information Science & Engineering (CISE)
Information & Intelligent Systems (IIS)
design element
IIS Home
About IIS
Funding Opportunities
Awards
News
Events
Discoveries
Publications
Career Opportunities
See Additional IIS Resources
View IIS Staff
CISE Organizations
Advanced Cyberinfrastructure (ACI)
Computing and Communication Foundations (CCF)
Computer and Network Systems (CNS)
Information & Intelligent Systems (IIS)
Proposals and Awards
Proposal and Award Policies and Procedures Guide
  Introduction
Proposal Preparation and Submission
bullet Grant Proposal Guide
  bullet Grants.gov Application Guide
Award and Administration
bullet Award and Administration Guide
Award Conditions
Other Types of Proposals
Merit Review
NSF Outreach
Policy Office
Additional IIS Resources
Data Sharing for Computational Neuroscience
Research on Data Confidentiality


CISE - IIS

III Research Topic Examples:

  • Transformation of massive volumes of data from disparate sources into useful information and actionable knowledge;
  • Usable semantics and ontologies to enrich data for new uses;
  • Ontology construction, selective knowledge sharing, and inference with large distributed sources;
  • Persistent, long-term preservation of valuable data and knowledge assets that overcome transitions in technologies and culture;
  • Re-using, re-purposing, and integrating disparate data, information, and knowledge in ways that preserve provenance and appropriate protections;
  • Integrative, generalized approaches to data, knowledge, and information integration and processing with a variety of data types, including spatial, temporal, graph, matrices, text, speech, image and other multimedia types;
  • Individual and group-oriented information management, supporting personalization, contextualization, interaction, and collaboration;
  • Data processing, management, and inference techniques that scale to the quantities, speed of acquisition, dimensionality, and complexity of data and knowledge, using the advancing computing and communication platforms and media including clouds, multicore, flash memory, mobile computing, and sensor and social networks;
  • Exploration of the limits and applicability of approaches in information integration and informatics;
  • Energy-, computing resource- and memory-conserving approaches to storing, querying, indexing, updating, and processing data;
  • Integration of data, hypothesis, predictive modeling and knowledge-based inference, experimentation, and simulation to support decision making and discovery;
  • Support for interactivity collaboration, adaptability, and evolvability with process , workflow, provenance, lifecycle, or inconsistency management;
  • Managing, querying, and analysis of social media for leveraging new forms of interaction (e.g., crowd-sourcing) for acquiring, integrating, managing, or using information;
  • Management of uncertainty, including expressive representation of and reasoning about preferences, uncertainty, noise, inconsistency, changing context, and scalable techniques;
  • Analytics for massive, distributed, dynamic, uncertain, heterogeneously structured and unstructured data, for long-term, real-time or predictive techniques with accuracy, reliability, and risk measures;
  • Challenges presented by informatics-enabled applications of societal importance;
  • New information architectures, e.g., new database designs, new data models, etc.

Information Integration and Informatics (III) subsumes topics covered by these areas previously supported by the IIS Division: Digital Government; Digital Libraries and Archives; Information, Data, and Knowledge Management; and Science and Engineering Information Integration and Informatics.

 

Email this pagePrint this page
Back to Top of page