Jake Otto

The Missouri S&T strategic plan, initiated around summer 2012 and actively implemented from fiscal year 2014, targets achieving a top return on investment by 2020, its 150th year. This plan aims to benefit key customers including students, employers, research partners, and donors, by leveraging unique advantages and providing extraordinary access to renowned expertise, one-of-a-kind services, and diverse learning possibilities. The plan is guided by four key themes: developing creative thinkers and leaders for lifelong success, enhancing institutional reputation and visibility, achieving sustainable growth to ensure best return on investment, and increasing meaningful access to and interaction with renowned faculty, staff, and services. It prioritizes significant investments in faculty hiring, improved instructional laboratories, and technology to enhance student learning and research capabilities.

The Bio-X Constellation's vision is to establish an academic platform at Missouri S&T for interdisciplinary and trans-disciplinary life science research, integrating engineering, natural sciences, and humanities/social sciences. A core objective is translating basic research outcomes into innovation and entrepreneurship, particularly through the Kummer Institute. The plan leverages existing strengths in areas like biomaterials, bioprinting, and TBI research, while identifying emerging fields such as health informatics and biosystem automation. Key actions include addressing gaps in biological expertise and imaging, fostering interdisciplinary Ph.D. programs, and building strategic partnerships to drive academic excellence and biotech entrepreneurship.

This document details the strategic direction for the Data Science Research Constellation at Missouri S&T. Its vision is to cultivate an interconnected network of researchers in foundational and applied data science, fostering innovative, transdisciplinary research. The plan outlines major goals including establishing a collaborative research environment, uniting diverse data science expertise, and positioning the institution for significant funding opportunities. It also aims to develop specialized subgroups, strengthen connections with existing research centers and the proposed Kummer Institute, and create comprehensive data science research and educational opportunities for both undergraduate and graduate students. The overarching objective is to build an agile research community at Missouri S&T that effectively addresses and leverages data science challenges across scientific, engineering, and business domains.

This Research Roadmap for Missouri S&T aims to redefine the institution's research vision and strategic direction. It is organized around eight interdisciplinary 'research constellations': Bio-X, Data Science, Infrastructure, Intelligent Systems, Manufacturing, Materials, Resources: Natural, Energy, Water, for Society (ReNEWS), and Training, STEM Education, and Workforce Development. The plan's intended outcomes include establishing Missouri S&T as a leading public technological research university for discovery, creativity, and innovation, and achieving R1: Highest Research Activity status with a goal of doubling research expenditures by 2025, by fostering a comprehensive research ecosystem.

This document outlines Missouri S&T's 'Roadmap to R1' vision, a strategic initiative to achieve R1: Highest Research Activity university status. Key objectives include doubling annual research expenditures by 2025 and enhancing Missouri S&T's position as a leading public technological research university for discovery, creativity, and innovation. The strategy, developed through a faculty-inclusive 'Research Roadmap' process, focuses on strengthening eight 'research constellation' areas: Manufacturing, Infrastructure, Materials, Intelligent Systems, Bio-X, Data Science, Resources: Natural, Energy, Water, for Society (ReNEWS), and Training, STEM Education, and Workforce Development. The plan aims to significantly increase research expenditures, doctoral graduates, and non-tenure track research staff in both STEM and non-STEM disciplines.