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Recent Submissions
The Economic Impact of the Duluth International Airport
(University of Minnesota Duluth, 2025-01) Haynes, Monica; Chiodi Grensing, Gina; Ion, Ethan; Nevills, Sophia; Shaw, Sam
In partnership with Giant Voices, the Bureau of Business and Economic Research (BBER) at the University of Minnesota Duluth was tasked with evaluating Duluth International Airport’s (DLH) economic impact on the state of Minnesota. The study focuses on five categories of airport business activity: airport management, on-airport business tenants, capital investments, and spending by visitors arriving via commercial and general aviation.
Our analysis estimates that, in total, DLH supports over 4,000 full-time jobs annually, contributing $284.8 million in labor income and $1.4 billion in output to the state’s economy. This represents direct, indirect, and induced effects across the five areas noted in the full report.
Data in support of "Phenology, food webs, and fish: the effects of loss of lake ice across multiple trophic levels"
(2025-02-21) Rounds, Christopher I; Manske, John; Feiner, Zachary S; Walsh, Jake R; Polik, Catherine A; Hansen, Gretchen J A; round060@umn.edu; Rounds, Christopher; University of Minnesota Fisheries Systems Ecology Lab
This dataset and associated analyses are made to accompany the manuscript, "Phenology, food webs, and fish: the effects of loss of lake ice across multiple trophic levels". Accompanying data is split into components with distinct analyses (lake ice-off, phytoplankton, zooplankton, walleye spawning, walleye young-of-year recruitment, and walleye abundance). Plankton data is collected from Ramsey County, MN, USA lakes and filtered only to include open water season. Walleye spawning is collected by DNR staff as part of egg-take operations in the spring, walleye young-of-year recruitment is indexed by fall electrofishing and was filtered according to (Kundel et al. 2023). Walleye adult abundance is indexed through gillnets during the open water season and has minimum effort and sampling time of year filtering (see MNDNR 2017), unaged fish were applied a HALK to allow for cohort effects to be modeled (based on Frater et al. 2024). All analyses are done using the package mgcv in R and visualized using ggplot2.
Whitewater River Planform Change Analysis
(2025-02-21) England, Hendrick O; Brown, Andrew A; Larson, Phillip H; Hilgendorf, Zach T; Rowen, Jayda K; phillip.larson@mnsu.edu; Larson, Phillip H; MNiMorph (mnimorph.science)
These data include the output of the LCCMR-ENRTF Whitewater River project with specific focus on river channel change and planform analysis.
Social network analysis to understand participant engagement in transdisciplinary team science: a large U.S. science and technology center case study
(2025-02-21) Huffman, Demie, R.; Bruns, Catherine, J.; Neff, Peter, D.; Roop, Heidi, A.
Funding agencies like the U.S. National Science Foundation (NSF) increasingly fund transdisciplinary research collaboratives to tackle complex societal problems and accelerate innovation. Initiatives such as the NSF Science and Technology Centers (STCs) convene researchers from diverse disciplines to collaborate to address scientific challenges at the nexus of science and technology innovation. The longitudinal evolution of a Center’s social network offers a valuable evaluative tool for understanding how different Center activities and participant identities foster/inhibit an environment conducive to transdisciplinary collaboration and innovation. Given that STC members participate in Center activities with different degrees of involvement, understanding the varying relationships and levels of engagement exhibited within a Center can help to evaluate the effectiveness of team science collaborations in realizing their goals and objectives in real-time. A driving question is whether the whole of an interdisciplinary team is greater than the sum of its parts. In this article, a Science of Team Science mixed-methods social network analysis (SNA) approach is used to evaluate participation and provide data-driven evidence into how relational connections facilitate or hinder pathways for knowledge exchange in an STC called the Center for Oldest Ice Exploration. Using SNA, we establish a set of baseline “participation typologies” with which to measure the evolution of connectivity across the lifetime of the Center. These typologies indicate that pathways to engagement and collaboration are enabled through one’s connection or exposure to different research teams across the Center, as well as through the quality of connection reported between Center participants. Insights from early career researcher participation show how early investment in such activities can strengthen a participant’s connection quality and expose different disciplines to alternative approaches. This methodology can be applied to other large transdisciplinary endeavors to provide real-time evaluation and inform interventions to improve cross-team connections and collaboration.
ICI Staff Newsletter "FYI" February 2025
(University of Minnesota, Institute on Community Integration, 2025-02-19) Institute on Community Integration
The Institute's monthly staff newsletter features news of recent activities, accomplishments, and resources. This month's first feature story is about the new issue of Impact, which explores the growing use of self-direction in service provision, particularly among people with intellectual and developmental disabilities. The second feature story encourages people who want to advance interdisciplinary leadership in neurodevelopmental disabilities to apply for an MNLEND fellowship soon. The third story is about an international forum on the dignity of work that ICI hosts on March 19. This month's Update is about Liz Weintraub, a self-advocate and national podcaster who has collaborated with ICI for years.