Twin-Win Model: A human-centered approach to research success

Shneiderman, Ben

doi:10.1073/pnas.1802918115

Cited by 21 publications

(14 citation statements)

References 14 publications

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“…Shneiderman (28) discusses an approach to creatively rethinking universities' research success models. His focus on combining basic and applied research would likely enable significantly decreased costs of securing research funding.…”

Section: Model Projections and Discussionmentioning

confidence: 99%

Modeling research universities: Predicting probable futures of public vs. private and large vs. small research universities

Rouse

Lombardi

Craig

2017

Proc. Natl. Acad. Sci. U.S.A.

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The future of the American academic research enterprise is considered. Data are presented that characterize the resources available for the 160 best-resourced research universities, a small subset of the 2,285 4-year, nonprofit, higher education institutions. A computational model of research universities was extended and used to simulate three strategic scenarios: status quo, steady decline in foreign graduate student enrollments, and downward tuition pressures from high-quality, online professional master’s programs. Four specific universities are modeled: large public and private, and small public and private. The former are at the top of the 160 in terms of resources, while the latter are at the bottom of the 160. The model’s projections suggest how universities might address these competitive forces. In some situations, it would be in the economic interests of these universities to restrict research activities to avoid the inherent subsidies these activities require. The computational projections portend the need for fundamental change of approaches to business for universities without large institutional resources.

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Section: Model Projections and Discussionmentioning

confidence: 99%

Modeling research universities: Predicting probable futures of public vs. private and large vs. small research universities

Rouse

Lombardi

Craig

2017

Proc. Natl. Acad. Sci. U.S.A.

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“…HIBAR research projects have a broader range in this spectrum and they are approximately centered within it. This characteristic is conducive to the aforementioned recursive flow of ideas that generates impactful breakthroughs [17].…”

Section: Aspects Of Integration Ofmentioning

confidence: 99%

Re-Invigorating Hibar Research for the 21st Century: Enhancing Fundamental Research Excellence In Service to Society

Whitehead¹,

Slovic²,

Nelson³

2020

technol innov

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More than ever, society needs research breakthroughs to address major problems. Universities have a key role to play in discovering the required new knowledge and guiding its application. However, since World War II, universities have been encouraged to focus mainly on curiosity-based research, with corporations carrying out practical work. This division worked well in the last half of the 20th century, when there was considerable funding for long-term research in the laboratories of major corporations. Today, however, those firms face greater competition, and the resultant financial constraints have foreshortened their research time-horizons. Universities are poised to compensate by re-emphasizing long-term, application-oriented research, but great care must be taken to strengthen fundamental research as well. These objectives can be achieved simultaneously by bolstering a time-honored class of research projects labelled Highly Integrative Basic And Responsive (HIBAR), each of which combines fundamental and applied approaches through partnerships with practical experts. This approach will help repli- cate, within universities, the breakthrough-generation capacity that once flourished in major corporate laboratories. Toward this end, a network of universities called the HIBAR Research Alliance (HRA) has recently formed to strengthen HIBAR research, both by helping universities to encourage it (while also improving equity, diversity, inclusion, and academic freedom) and by helping researchers to carry out HIBAR research projects (while also advancing their careers). The HRA aims to increase the rate of HIBAR research projects in universities—from about one project in 20 today to one in five by 2030—while strengthening all types of research excellence.

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“…Another successfull field of research investigates the scientific careers. Shneiderman discusses in details the best strategies for producing highly successful scientific researches balancing between the exploration of new ideas and the exploitation of established works [5]. Ma et al [6] and Sinatra et al [7] both focus on the individual impact of scientists, the former by analyzing the collaboration network of scientific-prize-winners, the latter focusing on the evaluation of the activity of scientists.…”

Section: Introductionmentioning

confidence: 99%

Where is your field going? A machine learning approach to study the relative motion of the domains of physics

et al. 2020

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We propose an original approach to describe the scientific progress in a quantitative way. Using innovative Machine Learning techniques we create a vector representation for the PACS codes and we use them to represent the relative movements of the various domains of Physics in a multi-dimensional space. This methodology unveils about 25 years of scientific trends, enables us to predict innovative couplings of fields, and illustrates how Nobel Prize papers and APS milestones drive the future convergence of previously unrelated fields.

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Twin-Win Model: A human-centered approach to research success

Cited by 21 publications

References 14 publications

Modeling research universities: Predicting probable futures of public vs. private and large vs. small research universities

Modeling research universities: Predicting probable futures of public vs. private and large vs. small research universities

Re-Invigorating Hibar Research for the 21st Century: Enhancing Fundamental Research Excellence In Service to Society

Where is your field going? A machine learning approach to study the relative motion of the domains of physics

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