Long Prairie River Watershed TMDL Project - Lessons Learned from Phase I

2013 ◽  
Author(s):  
Hafiz M. Munir ◽  
Bashar Sinokrot ◽  
Dennis E. Ford
Keyword(s):  
Phase I ◽  
Lessons Learned ◽  
River Watershed

Evaluating the Use of Cyberinfrastructure in the Classroom to Enhance Product Dissection

2007 ◽  
Author(s):  
Matt Devendorf ◽  
Kemper Lewis ◽  
Timothy W. Simpson ◽  
Robert B. Stone ◽  
William C. Regli
Keyword(s):  
Phase I ◽  
High Impact ◽  
Lessons Learned ◽  
Digital Design ◽  
Design Engineering ◽  
National Scale ◽  
Research Experiences ◽  
Ongoing Research ◽  
Information Tools ◽  
Digital Environments

Recent cyberinfrastructure initiatives seek to create ubiquitous, comprehensive, interactive, and functionally complete digital environments that consist of people, data, information, tools, and instruments for research communities. With product dissection as our unifying theme, we are forging a cyberinfrastructure to support undergraduate design engineering education through CIBER-U: Cyber-Infrastructure-Based Engineering Repositories for Undergraduates. CIBER-U pairs two of the nation’s leading design repository developers with several active users and their students to realize a high-impact application of cyberinfrastructure in engineering undergraduate curricula involving freshmen through seniors. Specifically, CIBER-U combines product dissection activities at three universities with two digital design repositories, CAD modeling and animation, video, MediaWiki technology, multimedia, and undergraduate summer research experiences to enable cyberinfrastructure-based product dissection activities. Nearly 700 students have participated in the Phase I efforts of CIBER-U, which have focused primarily on generating, capturing, and storing data in two digital design repositories. Lessons learned from these efforts are presented from the students’ perspectives as well as that of the faculty in both engineering and computer science. The implications for implementing CIBER-U on a national scale are discussed along with ongoing research.

The Continuous Learning Cycle: A Multi-phase Post-occupancy Evaluation (POE) of Decentralized Nursing Unit Design

2021 ◽  
pp. 193758672110516
Author(s):  
Hui Cai ◽  
Kent Spreckelmeyer
Keyword(s):  
Phase I ◽  
Lessons Learned ◽  
Learning Cycle ◽  
Continuous Learning ◽  
Patient Room ◽  
Design Quality ◽  
Syntax Analysis ◽  
Nursing Unit ◽  
Unit Unit ◽  
Multi Phase

Purpose: This study aims to demonstrate how multiphase postoccupancy evaluation (POE) research was integrated into multiple projects to develop a continuous learning cycle. Background: Despite the well-recognized importance of POE, few studies have reported how knowledge from POE is applied in new designs. Method: This study is developed as a multiphase POE that spanned 3 years and across three units. Phase I POE compared an existing unit (Unit A) in Hospital A and a new Unit B in Hospital B that has implemented innovative design features such as decentralized nurse stations. The idea was to understand the challenges of the existing facility in Hospital A and gather lessons learned from the new design in Unit B to inform the design of the Hospital A expansion (Unit C). After the new expansion was occupied, the Phase II POE was conducted using the same set of POE tools in both Unit C and Unit A. The POE applied the following methods: (1) patient room evaluations using the Center for Health Design standardized POE tools, (2) space syntax analysis of visibility, and (3) a pre- and postmove analysis of Press Ganey data. Results: The results demonstrated that by incorporating lessons learned from the Phase I POE, Unit C has further improvement on patient room design ratings, improved patient satisfaction, and better visibility among nurse work areas compared to Unit A and Unit B. Conclusions: The multiphase, multisite POE with standardized tools has demonstrated its value as an important tool for continuous design quality improvement.

Lessons Learned in Phase I of the Southern Rural Access Program

2003 ◽  
Vol 19 ◽  
pp. 416-421 ◽  
Author(s):  
Michael Beachler ◽  
Curtis Holloman ◽  
Donald E. Pathman
Keyword(s):  
Phase I ◽  
Lessons Learned ◽  
Rural Access ◽  
Access Program

Large Scale Collaborative Science: Lessons Learned from the Phase I COFFIES DRIVE Science Center

2021 ◽  
Author(s):  
Shea Hess Webber ◽  
Lisa Upton ◽  
Andres Munoz-Jaramillo ◽  
Todd Hoeksema ◽  
Rock Bush ◽  
...  
Keyword(s):  
Phase I ◽  
Large Scale ◽  
Lessons Learned ◽  
Science Center

Using the continual reassessment method: Lessons Learned from an EORTC phase I dose finding study

2006 ◽  
Vol 42 (10) ◽  
pp. 1362-1368 ◽  
Author(s):  
Xavier Paoletti ◽  
Benoît Baron ◽  
Patrick Schöffski ◽  
Pierre Fumoleau ◽  
Denis Lacombe ◽  
...  
Keyword(s):  
Phase I ◽  
Lessons Learned ◽  
Dose Finding ◽  
Continual Reassessment Method ◽  
Continual Reassessment ◽  
Finding Study ◽  
Dose Finding Study

scholarly journals Model risk: illuminating the black box

2017 ◽  
Vol 23 ◽  
Author(s):  
R. Black ◽  
A. Tsanakas ◽  
A. D. Smith ◽  
M. B. Beck ◽  
I. D. Maclugash ◽  
...  
Keyword(s):  
Risk Management ◽  
Phase I ◽  
Financial Services ◽  
Weather Forecasting ◽  
Good Practice ◽  
Working Party ◽  
Black Box ◽  
Lessons Learned ◽  
Model Risk ◽  
Wide Range

AbstractThis paper presents latest thinking from the Institute and Faculty of Actuaries’ Model Risk Working Party and follows on from their Phase I work, Model Risk: Daring to Open the Black Box. This is a more practical paper and presents the contributors’ experiences of model risk gained from a wide range of financial and non-financial organisations with suggestions for good practice and proven methods to reduce model risk. After a recap of the Phase I work, examples of model risk communication are given covering communication: to the Board; to the regulator; and to external stakeholders. We present a practical framework for model risk management and quantification with examples of the key actors, processes and cultural challenge. Lessons learned are then presented from other industries that make extensive use of models and include the weather forecasting, software and aerospace industries. Finally, a series of case studies in practical model risk management and mitigation are presented from the contributors’ own experiences covering primarily financial services.

Sign in / Sign up

Export Citation Format

Share Document