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Full-Text Articles in Engineering

At The Intersection Of Industry, Academia, And Government: How Do We Facilitate Productive Precision Livestock Farming In Practice?, Brett C. Ramirez, Hongwei Xin, Patrick G. Halbur, Donald H. Beermann, Stephanie L. Hansen, Daniel C. L. Linhares, Joshua M. Peschel, Christopher J. Rademacher, James M. Reecy, Jason W. Ross, Timothy A. Shepherd, James E. Koltes Aug 2019

At The Intersection Of Industry, Academia, And Government: How Do We Facilitate Productive Precision Livestock Farming In Practice?, Brett C. Ramirez, Hongwei Xin, Patrick G. Halbur, Donald H. Beermann, Stephanie L. Hansen, Daniel C. L. Linhares, Joshua M. Peschel, Christopher J. Rademacher, James M. Reecy, Jason W. Ross, Timothy A. Shepherd, James E. Koltes

Veterinary Diagnostic and Production Animal Medicine Publications

This commentary is a comprehensive synthesis of ideas generated from a workshop, hosted by Iowa State University, encompassing precision livestock farming (PLF) research and applications for industry–academia. The goal of this workshop was to demonstrate existing institution research and strategically propel further PLF development and industry adoption. Six key thematic areas were identified from participant discussion: sensors and algorithms, implementation, economic feasibility, data, rural and societal impacts, and education and training. These themes were used to focus discussion on identifying the new knowledge needed to drive implementation and examine current and future challenges of implementing PLF. At the convergence ...


Rubik's Cube: A Visual And Tactile Learning Of Algorithms And Patterns, Lawrence Muller Feb 2019

Rubik's Cube: A Visual And Tactile Learning Of Algorithms And Patterns, Lawrence Muller

Open Educational Resources

This is a classroom activity report on teaching algorithms as part of a second course in computer programming. Teaching an algorithm in an introductory level programming class is often a dry task for the instructor and the rewards for the student are abstract. To make the learning of algorithms and software more rewarding, this assignment employs a Rubik’s cube.


Transparency And Algorithmic Governance, Cary Coglianese, David Lehr Jan 2019

Transparency And Algorithmic Governance, Cary Coglianese, David Lehr

Faculty Scholarship at Penn Law

Machine-learning algorithms are improving and automating important functions in medicine, transportation, and business. Government officials have also started to take notice of the accuracy and speed that such algorithms provide, increasingly relying on them to aid with consequential public-sector functions, including tax administration, regulatory oversight, and benefits administration. Despite machine-learning algorithms’ superior predictive power over conventional analytic tools, algorithmic forecasts are difficult to understand and explain. Machine learning’s “black-box” nature has thus raised concern: Can algorithmic governance be squared with legal principles of governmental transparency? We analyze this question and conclude that machine-learning algorithms’ relative inscrutability does not pose ...