Welcome to NSPARC

NSPARC – the National Strategic Planning & Analysis Research Center at Mississippi State University – is a trusted source for high-quality research and analysis to address critical challenges in workforce and economic development. Utilizing advanced data analytics and machine learning, NSPARC empowers informed decision-making. It’s our way of taking care of what matters.

Featured Research

Does Mississippi have the workforce capacity to compete for the fastest-growing jobs in the nation that require a four-year college degree?

Our Work


NSPARC helps clients combine subject-matter expertise with methodological expertise in data modeling and forecasting.

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State Data Clearinghouse

We operate Mississippi’s Statewide Longitudinal Data System (SLDS) as the designated State Data Clearinghouse.

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Our Research


MBIR supports diverse stakeholders and seamlessly aligns with a coordinated and comprehensive approach to statewide economic growth.

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Data Modeling and Forecasting

NSPARC couples our expertise in data modeling and forecasting with advanced analytics and machine learning to produce information that leads to action. We help address challenges in diverse sectors such as workforce development, economic development, education, energy, and public safety.

Social and Economic Impact Research

Our sophisticated data models simulate and analyze how new and existing policies, interventions, and initiatives might affect Mississippi. Those valuable insights empower decision-makers to make choices that are grounded in research.

Survey and Focus Groups

We can capture feedback from your target audience and give you valuable consumer insights. That can help you take care of what matters by enabling you to make informed decisions.

Return-on-Investment (ROI) Studies

ROI studies produce data-driven insights that improve understanding of how investments drive growth and strategic opportunities. That helps ensure that every dollar spent returns an optimal profit.

Aviation Research

In collaboration with the Raspet Flight Research Laboratory at Mississippi State University, we are revolutionizing aviation forecasting to predict commercial aviation network expansion and contraction and reshape passenger flows.

GPU Cluster Computing

NSPARC took the lead in conceptualizing and developing an ultramodern graphics processing unit (GPU) cluster at Mississippi State University in collaboration with the MSU High Performance Computing Collaboratory (HPC²). This powerful computing infrastructure lets scholars conduct advanced research and analytics. It also fosters the development of the next generation of data scientists at Mississippi State.

Social and Economic Impact Research

NSPARC can navigate the complex landscape of social and economic impact research. Our data can unveil the transformative effects of your initiatives and empower you to make informed decisions and drive positive change.

Athlete Engineering

NSPARC is a core member of a multidisciplinary team that also includes MSU scientists from the Center for Advanced Vehicular Systems (CAVS) and the departments of Kinesiology and Industrial and Systems Engineering. The scientists collaborate with coaches and athletic trainers to collect biometric, kinematic, force and impact, and other data using wearable technology. NSPARC applies its expertise in statistics and machine learning to analyze the data. The analysis uncovers patterns, correlations, and insights that can enhance performance, prevent injuries, and create personalized training programs for athletes.

Risk-Needs-Responsivity Research

In criminology, the risk-needs-responsivity model is used to assess prisoners based on the risk they present, their needs, and the kinds of treatments and environments that can minimize their chances of reoffending. NSPARC is helping pave the path to successful reintegration into society with our groundbreaking risk-needs-responsivity research. We assist in guiding treatment options for incarcerated individuals that empower them to build brighter futures and break the cycle of recidivism.