Abstract In an era where data-driven decision-making shapes industries, governments, and everyday life, the ability to leverage data science has become an essential skill. Modern data science tools—encompassing data collection, analysis, and advanced techniques such as artificial intelligence (AI), machine learning (ML), and large language models (LLMs)—play a critical role across diverse fields. However, many […]

Practical Approaches for Private and Scalable Information Data Management Systems   Amr El Abbadi Professor of Computer Science University of California at Santa Barbara  Abstract.  Increasingly countries and regions have strict laws and regulations to protect the privacy of personal data. For example, the states of the European Union (EU) enforce the General Data Protection […]

Abstract In this talk, we will first present our paper at the DSE-K12 conference with the title “DS4ALL: Teaching High-School Students Data Science and AI/ML Using the Texera Workflow Platform as a Service.” Traditional data science education often requires students to have programming experience and install local software. It also makes collaboration inefficient and slows […]

Abstract: The Dept of Energy (DOE) complex comprises of many science facilities that could be classified as data producing (eg. the Advanced Photon Source at Argonne National Laboratory) and consuming (eg. the Leadership Class Computing Facilities at the Oak Ridge National Laboratory) facilities. Modern science campaigns often require extensive usage of more than one such facilities […]

ABSTRACT Data-based systems are increasingly used in applications that have far-reaching consequences and long-lasting societal impact. However, the development process remains highly specialized, tedious, and unscalable. This produces a manually fine-tuned rigid solution that works only for one specific problem in one specific context. The system fails to adapt to the changing world and severely […]