Browsing by Subject "Industry"

Now showing 1 - 4 of 4
  • Thumbnail Image
    Item
    Benchmarks for ethically credible partnerships between industry and academic health centers: beyond disclosure of financial conflicts of interest
    (Springer (Biomed Central Ltd.), 2015-12) Meslin, Eric M.; Rager, Joshua B.; Schwartz, Peter H.; Quaid, Kimberly A.; Gaffney, Margaret M.; Duke, Jon; Tierney, William H.; Department of Philosophy, IU School of Liberal Arts
    Relationships between industry and university-based researchers have been commonplace for decades and have received notable attention concerning the conflicts of interest these relationships may harbor. While new efforts are being made to update conflict of interest policies and make industry relationships with academia more transparent, the development of broader institutional partnerships between industry and academic health centers challenges the efficacy of current policy to effectively manage these innovative partnerships. In this paper, we argue that existing strategies to reduce conflicts of interest are not sufficient to address the emerging models of industry-academic partnerships because they focus too narrowly on financial matters and are not comprehensive enough to mitigate all ethical risk. Moreover, conflict-of-interest strategies are not designed to promote best practices nor the scientific and social benefits of academic-industry collaboration. We propose a framework of principles and benchmarks for "ethically credible partnerships" between industry and academic health centers and describe how this framework may provide a practical and comprehensive approach for designing and evaluating such partnerships.
  • Thumbnail Image
    Item
    Built from Beet Sugar: Community Attachment and the Remnants of Industry
    (2024-10) Rodrigues, Nicole Nadine; Scarpino, Philip V.; Robertson, Nancy Marie; Dean, David R.
    Glendale Arizona’s original beet sugar factory, built in 1906, resides in the city’s historic downtown, defying metropolitan Phoenix’s progressive habit of tearing down historic properties. This thesis endeavors to unpack and rediscover the continuing legacy of the deindustrialized factory, and how in a vacant and seemingly abandoned state, few within the community of citizens, local governments officials, and investors advance any definite plans for renovation, rehabilitation, or even demolition. The purpose of this research is to better understand why the city of Glendale, encompassing past and present generations of residents, remains content with the now derelict state of the Beet Sugar Factory and how the city’s past, present, and future are reflected in its enduring influence. Analytical research looked to uncover how community attachment and sentimentality significantly influence the continued existence of the Beet Sugar Factory, despite the factory no longer offering any economic influence. Research into the extensive notes on beet sugar experimentation at the end of the nineteenth century and historical newspaper data provided evidence of the factory’s early success with securing investments and producing beet sugar and then the subsequent failure and slide into abandonment. Oral interviews with present government officials and residents, modern newspaper articles, and current podcasts were juxtaposed with earlier commentaries and analysis, clearly presenting a timeline of the Beet Sugar Factory’s fall from prominence to neglect while maintaining a place of sentimental reverence within the community. The outcome of this research resulted in revealing that Glendale’s beet sugar factory is a microcosm of how community sentimental attachment in an urban environment, despite decades of waning purpose and eventual decline by desertion, is the heart of preservation. In the end, community attachment within an urban environment is more important to preservation than detached criteria.
  • Thumbnail Image
    Item
    Institutional And Policy Analysis Of River Basin Management: The Tarcoles River Basin, Costa Rica
    (World Bank Group, 2005) Blomquist, William; Ballestero, Maureen; Bhat, Anjali; Kemper, Karin
    This paper describes and analyzes the effort to institute river basin management in the Tárcoles basin of Costa Rica. Located in west-central Costa Rica, the Tárcoles basin represents 4.2 percent of the nation's total land area, but is home to half the nation's population and the metropolitan area of San José, the nation's capital and largest city. Water management issues include severe water pollution resulting from sewage, industrial waste discharges, agricultural runoff, and deforestation. In the early 1990s a locally-initiated effort established a river basin commission for the Río Grande de Tárcoles (CRGT), which was supported by the central government's environment ministry. Since the late 1990s, however, the DRGT has struggled through changes of leadership, inconsistent support from the central government, and waning participation from basin stakeholders. Despite several programs to arrest deforestation and encourage better industrial and agricultural practices, the basin's water problems continue largely unabated. The Tárcoles case is instructive about both the possibilities and the fragility of efforts to establish integrated water resource management at the river basin level.
  • Thumbnail Image
    Item
    Plant Level IIoT Based Energy Management Framework
    (2023-05) Koshy, Liya Elizabeth; Chien, Stanley Yung-Ping; Chen, Jie; King, Brian
    The Energy Monitoring Framework, designed and developed by IAC, IUPUI, aims to provide a cloud-based solution that combines business analytics with sensors for real-time energy management at the plant level using wireless sensor network technology. The project provides a platform where users can analyze the functioning of a plant using sensor data. The data would also help users to explore the energy usage trends and identify any energy leaks due to malfunctions or other environmental factors in their plant. Additionally, the users could check the machinery status in their plant and have the capability to control the equipment remotely. The main objectives of the project include the following: • Set up a wireless network using sensors and smart implants with a base station/ controller. • Deploy and connect the smart implants and sensors with the equipment in the plant that needs to be analyzed or controlled to improve their energy efficiency. • Set up a generalized interface to collect and process the sensor data values and store the data in a database. • Design and develop a generic database compatible with various companies irrespective of the type and size. • Design and develop a web application with a generalized structure. Hence the database can be deployed at multiple companies with minimum customization. The web app should provide the users with a platform to interact with the data to analyze the sensor data and initiate commands to control the equipment. The General Structure of the project constitutes the following components: • A wireless sensor network with a base station. • An Edge PC, that interfaces with the sensor network to collect the sensor data and sends it out to the cloud server. The system also interfaces with the sensor network to send out command signals to control the switches/ actuators. • A cloud that hosts a database and an API to collect and store information. • A web application hosted in the cloud to provide an interactive platform for users to analyze the data. The project was demonstrated in: • Lecture Hall (https://iac-lecture-hall.engr.iupui.edu/LectureHallFlask/). • Test Bed (https://iac-testbed.engr.iupui.edu/testbedflask/). • A company in Indiana. The above examples used sensors such as current sensors, temperature sensors, carbon dioxide sensors, and pressure sensors to set up the sensor network. The equipment was controlled using compactable switch nodes with the chosen sensor network protocol. The energy consumption details of each piece of equipment were measured over a few days. The data was validated, and the system worked as expected and helped the user to monitor, analyze and control the connected equipment remotely.