Data continue a massive expansion in scale, diversity, and complexity. Data underpin activities in all sectors of society. Achieving the full transformative potential from the use of data in this increasingly digital world requires addressing open and new questions. The Information Integration and Informatics (III) program focuses on principled approaches to the science and technology challenges to realize the potential of data.

III Research Topic Examples:

  • Transformation of raw data into useful information and actionable knowledge in face of incomplete, uncertain, inconsistent and intentionally-contaminated data;

  • Theories and techniques that enrich data with usable semantics and ontologies to support its use in delivery services and in presentation and analysis tools;

  • Technologies for the long-term preservation of valuable data assets that will outlast constant transitions of the storage and software technologies and cultural changes;

  • Data technologies and decision-making techniques that reuse, repurpose and integrate disparate data sources to provide both policy and action alternatives, while preserving data provenance and appropriate protections;

  • Techniques that deal with a myriad of data types, including spatial and temporal data types, matrices, tensors, text, speech and other multimedia;

  • Techniques to integrate information from multiple data models, such as structured and unstructured models, graph and network, multidimensional structures, vector fields, and data streams found in applications such as climate, power grids, health care, education, social networks, and virtual media;

  • Data processing techniques that scale to the quantities, speed of acquisition, dimensionality and complexity of data, using the emerging computing platforms and media, such as cloud, multicore, and mobile computing, sensor networks, and flash memory;

  • Sustainable, energy-aware data processing and preservation;

  • Algorithms for personalizing, organizing, navigating, searching, interpreting, and presenting information of different types, using various modalities;

  • Theories and techniques for the support of human/system interactivity, with process management, workflows, provenance, life cycle, evolvability, and adaptability;

  • Personal and group-oriented information management, such as personalization, contextualization, and support for interaction and collaboration.

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.

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