Our goal is no less than changing the world as we know it
The NextGen Data Science and Analytics Innovation Center, also known as dSAIC, is led by UMKC in collaboration with universities in the University of Missouri system.
About dSAIC
The University of Missouri System, through a unique partnership with its four universities, has joined esteemed research centers and industries around the world in ushering forward a new era of data science. The University of Missouri-Kansas City (UMKC) will play a critical role in powering the success of that enterprise through its NextGen Data Science and Analytics Innovation Center, known as dSAIC. By harnessing immense datasets to extract insights, patterns, and knowledge to drive technological advancements, dSAIC will provide the mission-critical foundation for leading edge research. dSAIC will also partner with the Precision Health Initiative, based at the University of Missouri System.
dSAIC will provide facilities and personnel to:
- Store, process, and analyze massive datasets
- Deliver cutting-edge high performance computing services in order to solve critical problems faced by our society
- Produce a skilled workforce to meet growing industry demand for data science and analytics.
Mission
To conduct groundbreaking and innovative research in data science, AI and cybersecurity to foster multidisciplinary collaboration to enhance knowledge, solve critical problems faced by our society, and produce a skilled workforce to meet the growing demands.
Vision
To pioneer cutting-edge data science and analytics research and enterprise solutions to drive impactful advancements across Missouri and beyond.
Why Is It Imperative?
Just as the Industrial Revolution transformed the manufacturing world, the analysis of data is having the same effect on information technology. While most data analytics tools are used by large corporations to predict consumer behavior, data analytics is also invaluable in scientific discovery and research.
A 2018 National Academies’ report stated that data science is emerging as a field that is revolutionizing science and industries alike and thus universities need to provide pathways for students to prepare for data science roles in the workplace. Work across nearly all domains is becoming increasingly data driven, affecting both the jobs available and the skill sets required.
The diversity and usage of data sources like social media, sensor networks and patient driven records have rapidly transformed the depth and breadth of research in just the past few years. Trends indicated that more and more aspects of the economy, society, and daily life have become dependent on data, and institutions and businesses that don’t use Big Data will fall behind.
Industries that have commonly used data analytics include health and medical care, banking, energy, manufacturing, communication, and transportation. Big Data describes not only the volume of data, but also its variety, velocity, veracity and value. The ability to merge diverse and comprehensive datasets and to mine the data to uncover or derive useful information provide significant opportunities to advance the state of policies, strategies, practices and resource management of countless fields and disciplines. dSAIC intends to address this growing need and developing space to set its members up to drive data-driven change across organizations.
Industries Using Data Analytics
The Work of dSAIC Will
- Provide actionable insights, identify complex patterns, and uncover previously unknown correlations to facilitate data-driven decision making in organizations
- Create a collaborative multidisciplinary research ecosystem for the UM System and community partners.
- dSAIC will generate new capabilities and opportunities for our researchers, educators, and students in an era of rapidly growing demand for data scientists. It will provide world-class training programs to prepare the next generation of skilled data scientists and analysts.
- dSAIC will also strategically leverage its resources to develop data-driven solutions to address societal problems. Through this approach, the center’s work will drive innovation in a variety of domains ranging from health care to business intelligence to agriculture to digital humanities and beyond.
Goals of dSAIC
Research
Advance research in foundational data science related to artificial intelligence and Big Data technologies.
Innovation
Foster new innovations in precision health, biomedical informatics, life sciences, cybersecurity, smart cities, precision agriculture, commerce, law and public policy, and digital humanities.
Computing Facility
Provide a state-of-the-art high-performance computing facility to solve data-intensive computing problems.
Funding
Increase extramural funding to support research and educational activities.
Education and Training
Provide educational and training programs for students to pursue a career in data science and analytics.
