Big Data Management

Data management is the cornerstone of effective data handling and improvement, particularly in Big Data. It is indispensable in Data Governance, which embraces an organization-wide strategy to define policies, regulations, and accountabilities for treating data as a precious asset. In this context, we are especially interested in the following key aspects:

  • Data Quality Assessment and Data integration
    These areas collaborate to enhance data quality and align it with business requirements. DQA identifies data defects across diverse types (e.g., atemporal, temporal, spatial, semi-structured, non-structured, streaming, image). Data Integration, in turn, focus on finding commonalities among entities in datasets of different data types. These processes leverage a range of resources, including machine learning, data visualizations, natural language processing, and statistics.
  • Engineering Data Management
    Creating and upkeeping a data management solution involves integrating multiple components to deliver value to an organization. Engineers encounter various challenges in this pursuit, including Data Architecture, Data Semantics, Data Inventory, and Database Operations-Reliability Engineering.

Computer Science Education

Computer science comprises several subfields broadly founded in mathematics and engineering. Acquiring such intricate knowledge and how to apply it demands new educational approaches and technologies to leverage computer science learning. Therefore, we are excited about the following themes:

  • Meaningful Learning Interventions in Higher Education
    Refers to creating, implementing, and assessing pedagogical interventions that blend various teaching methods, practices, and assessment strategies to empower students as active participants in their learning, whether in in-person, blended, or remote environments
  • Educational Software for Higher and Basic Education
    Refers to designing, implementing, and assessing software applications, such as simulators, that provide diverse resources to enhance the enjoyment and efficiency of understanding and exploring various subjects
  • Computing Thinking in Basic Education
    Refers to developing, conducting, and evaluating pedagogical interventions that may blend different learning theories and approaches (e.g., unplugged, plugged) to promote computing thinking learning in kids from primary to high school levels.