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Bob Francis grew up in Yuma, Arizona and graduated from ASU. After spending a year teaching high school in Yuma, he returned to ASU in 1970, starting in the Alumni Association. After a few years, he moved to the Office of Undergraduate Admissions where he spent most of his career.

Bob Francis grew up in Yuma, Arizona and graduated from ASU. After spending a year teaching high school in Yuma, he returned to ASU in 1970, starting in the Alumni Association. After a few years, he moved to the Office of Undergraduate Admissions where he spent most of his career. He retired in 2002.

Important / interesting parts of the interview include:
• The beginning of the Office of Undergraduate Admissions in Part 2
• The changing attitude about the role of the University in marketing itself to students and parents in Part 3
• The role of the Devils’ Advocates played in selling the University in Part 4
• The role Don Dotts and Christine Kajikawa Wilkinson played in Bob’s career in Part 6

ContributorsFrancis, Robert (Bob) (Interviewee) / Mason, Marilyn (Interviewer) / Scheatzle, David (Interviewer) / Arizona State University Retirees Association (Producer)
Created2014-04-17
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ContributorsHardt, Ann (Interviewee) / Ludemann, Ruth (Interviewer) / Scheatzle, David (Interviewer) / Arizona State University Retirees Association (Producer)
Created2011-02-22
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Description

To address the dearth of knowledge about person-based and trip-level exposure, we developed the Icarus model. Icarus uses mesoscale traffic model—activity-based model—to analyze the heat exposure of regions of interest at an individual level. The goal with Icarus was to design accurate, granular models of population and temperature behavior for

To address the dearth of knowledge about person-based and trip-level exposure, we developed the Icarus model. Icarus uses mesoscale traffic model—activity-based model—to analyze the heat exposure of regions of interest at an individual level. The goal with Icarus was to design accurate, granular models of population and temperature behavior for a target region, which could be transformed into a heat exposure model by means of simulation and spatial-temporal joining. By combining and implementing the most robust software and data available, Icarus was able to capture person-based exposure with unparalleled detail. Here we describe the model methodology. We use the metropolitan region of Phoenix, Arizona, USA to carry out a case study using Icarus.

ContributorsLi, Rui (Author) / Brownlee, Ben (Author) / Chester, Mikhail Vin (Author) / Hondula, David M. (Author) / Middel, Ariane (Author) / Michne, Austin (Author) / Watkins, Lance (Author)
Description
Arizona State University's Spring 2022 Urban Infrastructure Anatomy course assessed infrastructure challenges for advanced logistics planning in Belmont, Arizona. The Belmont initiative has sought to examine how planning for future advanced logistics technologies and operations should serve as drivers for novel urban planning. The project teams focused on energy systems,

Arizona State University's Spring 2022 Urban Infrastructure Anatomy course assessed infrastructure challenges for advanced logistics planning in Belmont, Arizona. The Belmont initiative has sought to examine how planning for future advanced logistics technologies and operations should serve as drivers for novel urban planning. The project teams focused on energy systems, transportation systems, agriculture, biomimicry, and heat mitigation.
ContributorsBhandari, Viraj (Contributor) / Mirtich, Laura Christine (Contributor) / Smith, Keegan (Contributor) / AlMarzouqi, Shaymaa (Contributor) / Avaula, Munieswar Reddy (Contributor) / Britton, Britnie (Contributor) / Changela, Meet Haresh (Contributor) / Subramanian, Praveen Raj Kumar (Contributor) / Tatiparthi, Jaya Dinesh Reddy (Contributor) / Pramod, Luke (Contributor) / Guglielmi, Giovanni (Contributor) / Myers, Andrew (Contributor) / Bonham, Emma Eileen (Contributor) / Majety, Naga Venkata Krishna Anjani Kumar (Contributor) / Sripathi, Siva Sai Praneeth (Contributor) / Schoneberger, Channing (Contributor) / Chester, Mikhail Vin (Contributor)
Created2022-06-01
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Description
A methodology is presented for synthetic water distribution networks that advances previous methods by Ahmad et al. 2022 (SyNF v1.0). The methodology describes the development changes for v1.1 of the model. This includes major updates to the handling of global variables, parameterization of water treatment plants (WTP) and tanks, and

A methodology is presented for synthetic water distribution networks that advances previous methods by Ahmad et al. 2022 (SyNF v1.0). The methodology describes the development changes for v1.1 of the model. This includes major updates to the handling of global variables, parameterization of water treatment plants (WTP) and tanks, and the inclusion of flexibility in handling different demand estimates. The model advancements were designed around true data for San Juan and Mayaguez (Puerto Rico), but are generalizable to other regions.
ContributorsSearles, Ian (Contributor) / Jain, Rajan (Contributor) / Chester, Mikhail Vin (Contributor)
Created2024-07-24