paper-with-me

홈 › Papers

Quantitative analysis of the value of investment in research facilities, with examples from cyberinfrastructure

2025-02-11 · Winona G. Snapp-Childs, David Y. Hancock, Preston M. Smith, John Towns, Craig A. Stewart

Purpose: How much to invest in research facilities has long been a question in higher education and research policy. We present established and recently developed techniques for assessing the quantitative value created or received as a result of investments in research facilities. This discussion is timely. Financial challenges in higher education may soon force difficult decisions regarding investment in research facilities at some institutions. Clear quantitative analysis will be necessary for such strategic decision-making. Further, institutions of higher education in the USA are currently being called on to justify their value to society. The analyses presented here are extendable to research enterprises as a whole. Results: We present methods developed primarily for analyses of cyberinfrastructure. Most analyses comparing investment in university-based cyberinfrastructure facilities with purchasing services from commercial sources demonstrate positive results for economic and scientific research. A recent assessment, based on a comprehensive accounting approach, has shown that for one large publicly funded cyberinfrastructure project the value delivered to the USA economy and society exceeded the cost to USA taxpayers. Conclusions: Quantitative analyses of the benefits of investment in research and research facilities create a fact-based foundation for discussing the value of research and higher education. These methods enable a quantitative assessment of the relationship between investment in specific research facilities or research projects and economic, societal, and educational outcomes. These methods are of value in quantifying the economic benefit of higher education and in managing investments within such institutions.

📄 PDF Abstract BibTeX arXiv:2502.07833

Code (0)

등록된 구현이 없습니다.

Similar Papers 제목 키워드 기반

Qlib: An AI-oriented Quantitative Investment Platform

2020-09-22 · Xiao Yang, Weiqing Liu, Dong Zhou, Jiang Bian 외

Quantitative investment aims to maximize the return and minimize the risk in a sequential trading period over a set of financial instruments. Recently, inspired by rapid development and great potential of AI technologies…

Portfolio OptimizationStock Market Prediction

Alpha-GPT 2.0: Human-in-the-Loop AI for Quantitative Investment

2024-02-15 · Hang Yuan, Saizhuo Wang, Jian Guo

Recently, we introduced a new paradigm for alpha mining in the realm of quantitative investment, developing a new interactive alpha mining system framework, Alpha-GPT. This system is centered on iterative Human-AI intera…

Application and practice of AI technology in quantitative investment

2024-04-28 · Shuochen Bi, Wenqing Bao, Jue Xiao, Jiangshan Wang 외

With the continuous development of artificial intelligence technology, using machine learning technology to predict market trends may no longer be out of reach. In recent years, artificial intelligence has become a resea…

Decision Making

Economic consequences of covid-19 pandemic to the sub-Saharan Africa: an historical perspective

2021-11-01 · Anthony Enisan Akinlo, Segun Michael Ojo

This paper examines the economic consequences of the COVID-19 pandemic to sub-Saharan Africa (SSA) using the historical approach by analyzing the policy responses of the region to past crises and their economic consequen…

Economic Consequences of the COVID-19 Pandemic on Sub-Saharan Africa: A historical perspective

2022-07-01 · Anthony Enisan Akinlo, Segun Michael Ojo

This paper examined the economic consequences of the COVID-19 pandemic on sub-Saharan Africa (SSA) using the historical approach and analysing the policy responses of the region to past crises and their economic conseque…