Community Engagement at UNO

Presented at the President\u27s Advisory Counci

Remand and Appellate Review Issues Facing the Supreme Court in Carlsbad Technology, Inc. v. HIF Bio, Inc.

This Essay provides a brief explanation of § 1367 and §§ 1447(c) and (d) and argues that the Supreme Court should reverse the Federal Circuit’s decision in HIF Bio. We contend that the Federal Circuit erred in concluding that Cohill remands are subject-matter jurisdictional because a district court does not remand supplemental claims based on its lack of power over the claims. Instead, a district court remands supplemental claims based on its discretionary decision under § 1367(c) that a state court is a better forum in which to litigate them. After establishing that Cohill remands are not subject-matter jurisdictional and therefore are reviewable on appeal, we examine the district court‘s remand order and the Federal Circuit‘s opinion in HIF Bio. We assert that in reviewing the remand order in HIF Bio and deciding that Cohill remands fall within §§ 1447(c) and (d), the Federal Circuit incorrectly applied the Supreme Court‘s recent decision in Powerex Corp. v. Reliant Energy Services, Inc. Finally, we offer a few comments about whether Cohill remands should be reviewable on appeal

Remand and Appellate Review When a District Court Declines to Exercise Supplemental Jurisdiction Under 28 U.S.C. § 1367(c): Carlsbad Technology, Inc. v. HIF Bio, Inc.

Under 28 U.S.C. § 1447(c) and (d), as well as Supreme Court precedent, remand orders in removed cases are immune from appellate review when they are based on a lack of subject matter jurisdiction. Until recently, all appellate courts that had addressed the issue had concluded that a district court’s discretionary decision to decline to exercise supplemental jurisdiction under 28 U.S.C. § 1367(c) and remand the supplemental claims does not constitute a remand for lack of subject matter jurisdiction and therefore is reviewable on appeal

UNO Community Engagement Landscape Analysis (11.2.16)

The University of Nebraska at Omaha (UNO) is a nationally recognized engaged institution that wishes to expand the quantity and quality of its partnerships and outreach through its community engagement activities. Additionally, the University wants to assess, measure and evaluate the outcomes, impacts, and quality of its community engagement. This report presents findings from a landscape analysis which was conducted by the Office of Academic Affairs with the purpose of gaining more knowledge about current activities and practices in order to inform future data collection, analysis and measurement techniques. Additionally, the landscape analysis aims to comprehend how community engagement is institutionalized at UNO

Vol. 27 No. 3 (Autumn 2016), DOI 10.18060/21388 Building an Engagement Center through Love of Place: The Story of the Barbara Weitz Community Engagement Center

Universities throughout the United States operate engagement centers to extend campus faculty, staff and student resources to their communities. In 2014, the University of Nebraska Omaha (UNO) opened the Barbara Weitz Community Engagement Center (Weitz CEC): a privately funded $24 million, 70,000 square foot facility located in the middle of its original Dodge Street campus. In addition to offices for its service learning and community service enterprises, the CEC houses over thirty university and community organizations and offers extensive space for meetings, dialogue and collaboration. This paper will discuss its strategic and programmatic origins, unique design, and lessons learned in developing and operating the center

Planning and Interactive Decision-Making in Expert Elementary Physical Education Teachers.

This paper describes the planning and interactive decision making used by expert elementary physical education teachers as they developed and taught a 5 day unit on basketball dribbling. Secondly, it explores the relation between teachers\u27 planning productivity (number of statements made) and student achievement. Expert elementary physical education teachers (N = 11) provided information regarding their thought processes during planning and interactive decision making. Planning sessions were conducted prior to each lesson with teachers using the think aloud technique. All instructional lessons were videotaped. Following each of the first three lessons, teachers were shown a videotape of the lesson and were interviewed regarding their thoughts and decision making strategies used during teaching. Students\u27 performance on the AAHPERD Control Dribble Test was used as an indicator of achievement. Students were tested prior to and after the 5 day instructional unit. Results indicated that when planning, the dominant focus of expert teachers was the development of activities. Further, activities rather than formal objectives appear to be the basic unit of instruction by which teachers organize the lesson. During teaching expert teachers were primarily concerned with students\u27 performance. Expert teachers appear to use student behavior cues as the major indication to alter the lesson suggesting that antecedents of alternative actions are content and situation specific. In addition, expert teachers used the class as the focal point when adjusting the original teaching plan. Results from the control dribble test indicated that girls and boys improved significantly in their dribbling skill during the 5 day unit. However, the relation between teacher productivity and student achievement was not significant

Multi-configuration model tuning for precision opto-mechanical systems

Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 2004.Includes bibliographical references (p. 141-146).This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.It is important for the design of future space-based observatories that simulation models physically represent the designed system and are able to track along configuration changes. This thesis outlines a three-step procedure for model tuning of complex opto-mechanical systems in the presence of measured experimental data. It is the hypothesis of this thesis that this procedure will produce a model that effectively tracks along configuration changes. The first step, engineering insight, applies model heuristics to the simulation model in an effort to produce a simulation model that includes all physical effects in the experiment. The next step, model updating, is an automated procedure whereby an optimization problem is formed in order to set uncertain model parameters. The final step is model tracking across configurations. Configuration changes include, but are not limited to, changes in mass, input/output locations, changes in geometric properties and relative placements. A new metric is provided which helps to gauge the level of experimental/model mismatch in the new configuration (using the updated model) by using the objective function from the optimization in Step 2. Using this metric, one can determine how the model changes with respect to specific configuration changes. Finally, this three-step tuning procedure is compared against traditional model tuning on a testbed at the MIT Space Systems Lab (SSL) in order to gauge its usefulness. The traditional model tuning will be performed by a colleague in the SSL who will use such methods as trial-and-error parameter updating to match the simulation model to the experimental data.(cont.) Using the multi-configuration metric presented in this thesis, it is shown that the model produced using the three step method does track configurations better than the model produced using traditional model tuning.by Deborah Jane Howell.S.M

Spatial Nyquist fidelity method for structural models of opto-mechanical systems

Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 2007.This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.Includes bibliographical references (p. 189-196).As technology employed in complex multidisciplinary systems such as high performance telescope systems becomes ever more sophisticated, simulation is becoming more important during the initial design phases. The method of building these simulation models is often based on engineering experience with older, potentially dissimilar systems. A method is needed to measure the fidelity of simulation models so early design decisions are made based on appropriate modeling techniques. Previously, fidelity was a qualitative concept used to indicate a model's validity or accuracy. Here it is defined as the ability of a model to accurately predict chosen output figures of merit. In this thesis, a quantitative measure of fidelity, termed the Nyquist fidelity metric, is defined for commonly used structural model components. It expresses the ability of a finite element model to accurately predict structural eigenvalues based on the mesh size required by the spatial Nyquist criterion. The Nyquist fidelity method is developed which uses the fidelity metric to both assess the fidelity of existing complex models and to synthesize new multi-component models starting from architectural considerations such as geometric and material properties of the system. This method also estimates the error bound on the output figures of merit based on the fidelity levels and sensitivity analysis. The Nyquist fidelity method is applied to simple sample problems to first demonstrate the methodology and it is then applied to complex telescope models to show the accuracy and computational benefits of this method compared to current methods such as model reduction. The three high performance telescope case studies are the Modular Optical Space Telescope (MOST), the Thirty Meter Telescope, and the Stratospheric Observatory for Infrared Astronomy.(cont.) It is shown in the MOST example that the Nyquist fidelity method provides a 40% improvement in computational time while assuring less than 5% modal frequency error, and less than 2.2% error in the output figure of merit.by Deborah Jane Howell.Ph.D

Working Together: A Values Approach for Strengthening University/Community Partnerships

Conference: Coalition of Urban and Metropolitan Universities (CUMU

Real-Time Probe Data Dashboards for Interstate Performance Monitoring During Winter Weather and Incidents

The Indiana Department of Transportation (INDOT) manages over 1800 centerline miles of interstate that can be profoundly impacted by weather, crashes, and construction. Real-time performance measurement of interstate speeds is critical for successful traffic operations management. Agency managers and Traffic Management Center decision makers need situational awareness of the network and the ability to identify irregularities at a glance in order to manage resources and respond to media queries. One way to access this level of detail is crowdsourced probe vehicle data. Crowdsourced probe vehicle data can be obtained by collecting speed data from cell phones and global positioning system (GPS) devices. In Indiana, approximately 2673 predefined interstate segments are used to generate over 3.8 million speed records per day. These data can be overwhelming without efficient procedures to reduce and aggregate both spatially and temporally. This paper introduces a spatial and temporal aggregation model and an accompanying real-time dashboard to characterize the current and past congestion history of interstate roadways. The primary high level view of the aggregated data resembles a stock ticker and is called the “Congestion Ticker.” The data archive allows for after-action review of major events such as ice storms, major crashes, and construction work zones. The utility of this application is demonstrated with two case studies: a snowstorm that covered northern and central Indiana in February 2015 and an I-70 back of queue crash in April 2015