Skill discrepancies between research, education, and jobs reveal the critical need to supply soft skills for the data economy

Börner, Katy; Scrivner, Olga; Gallant, Mike; Ma, Shutian; Liu, Xiaozhong; Chewning, Keith; Wu, Lingfei; Evans, James A.

doi:10.1073/pnas.1804247115

Cited by 114 publications

(111 citation statements)

References 25 publications

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“…"Skill discrepancies between research, education, and jobs reveal the critical need to supply soft skills for the data economy" by Börner et al (59) explores the gap between S&T developments, educational offerings, and job market needs. Using millions of publications, course syllabi, and job advertisements published between 2010 and 2016, they present visualizations and causal models that quantify the dynamic skill (mis-)alignment between academic push, industry pull, and educational offerings; reveal the increasing importance and demand for uniquely human skills, such as communication, negotiation, and persuasion, in a data-driven economy; and present results from a survey that asked 20 labor market and academic experts to examine the readability of the visualizations.…”

Section: Models Of Job Market Needs and Educational Offerings →mentioning

confidence: 99%

Forecasting innovations in science, technology, and education

Börner

Rouse

Trunfio

et al. 2018

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

Self Cite

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Human survival depends on our ability to predict future outcomes so that we can make informed decisions. Human cognition and perception are optimized for local, short-term decision-making, such as deciding when to fight or flight, whom to mate, or what to eat. For more elaborate decisions (e.g., when to harvest, when to go to war or not, and whom to marry), people used to consult oracles-prophetic predictions of the future inspired by the gods. Over time, oracles were replaced by models of the structure and dynamics of natural, technological, and social systems. In the 21st century, computational models and visualizations of model results inform much of our decision-making: near real-time weather forecasts help us decide when to take an umbrella, plant, or harvest; where to ground airplanes; or when to evacuate inhabitants in the path of a hurricane, tornado, or flood (1). Long-term weather and climate forecasts predict a future with increasing torrential rains, stronger winds, and more frequent drought, landslides, and forest fires as well as rising sea levels, enabling decision makers to prepare for these changes by building dikes, moving cities and roads, and building larger water reservoirs and better storm sewers (2). Power of Forecasts Computational models are particularly useful if they are combined with high-quality data and if they are widely used and understood. As early as 1960, Buckminster Fuller proposed the "World Game" to address the world's problems through a holistic and anticipatory systems approach (3, 4). The game used Fuller's Dymaxion Map to visualize resources, trends, and scenarios. It was meant to be accessible to everyone (not just experts); therefore, decisions could be made collectively, and results could be used by anyone. In the 1970s, "The limits to growth: A report to the club of Rome" (5) used simulations to forecast future states of the world; a 30-y update was published in 2004 (6). Today, computers and the internet provide the technological infrastructure for universal access to data and compute power. Advances in mathematics, computer science, engineering, and other disciplines have made it possible to implement scalable, empirically validated computational models that render data into actionable insights. Because datasets are huge and multidimensional and models are complex, both tend to exceed human comprehension. Data visualizations and novel interfaces are being developed to help communicate the inner workings of computational models as well as model results to diverse stakeholder groups, including public audiences. For example, the Places & Spaces: Mapping Science exhibit (scimaps. org) features more than 100 large-scale maps of science and 18 interactive data visualizations designed by more than 230 authors. Elsewhere, the Data & Network Science in K-20 Education initiative (www.bu.edu/networks) gives students an entry point to understand and make meaning of science and technology (S&T) network models, data visualizations, and the role of forecasting. Diverse Forecasts f...

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Section: Models Of Job Market Needs and Educational Offerings →mentioning

confidence: 99%

Forecasting innovations in science, technology, and education

Börner

Rouse

Trunfio

et al. 2018

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

Self Cite

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“…A importância percebida dos dados influenciou diversos setores da sociedade, na área acadêmica podemos citar a Interação Humano-Dados [MORTIER et al, 2014], Ecossistemas de Dados [OLIVEIRA E LÓCIO, 2018], Sociedade Orientada a Dados [PENTLAND, 2013], Economia de Dados [BÖRNER et al, 2018], Ciência de Dados (Data Science) e Inteligência do Negócio (Business Intelligence) [LARSON E CHANG, 2016]], dentre outros. Com esta ascensão debruçada em alcançáveis tecnologias computacionais de alto desempenho e distribuição, questões éticas emergiram [MOOR, 2005] por má fé na manipulação de dados e seus impactos na sociedade leiga em relação a como seus próprios dados são utilizados.…”

Section: Introductionunclassified

Pesquisas em Análise de Redes Sociais e LGPD, análises e recomendações

Carvalho¹,

Oliveira²,

Cappelli³

2020

Anais Do Brazilian Workshop on Social Network Analysis and Mining (BraSNAM 2020)

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A proteção de dados e as soluções orientadas a dados são duas áreas em progresso que permeiam a sociedade brasileira. Este trabalho apresenta uma abordagem teórica interdisciplinar relacionada à LGPD, na perspectiva dos estudos de Direito e na Análise de Redes Sociais no Brasil, na perspectiva da Informática. Esta área de pesquisa utiliza dados pessoais extensivamente para construção do conhecimento, com contribuições semânticas, analisando a realidade; pragmáticos, na construção de artefatos. Desafios e questões inseparáveis são observados, expostos e debatidos neste trabalho. Sugerimos também boas práticas combinando os dois tópicos, dados pessoais no campo da pesquisa em redes sociais no Brasil, respeitando a LGPD.

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“…Thus, it is important for postdocs to be prepared for a broad range of careers. Postdocs can meet this challenge by using their time as advanced trainees to expand their skill sets beyond those required for their immediate research, such as developing their science communication, networking, and teaching skills, which can be useful in both academia and industry [6][7][8][9][10]. The National Postdoctoral Association also recognizes "Communication Skills" and "Professionalism" as two of their six core competencies that are "critical for development during postdoctoral appointments" [11].…”

Section: Introductionmentioning

confidence: 99%

Partnering with postdocs: a library model for supporting postdoctoral researchers and educating the academic research community

Gau

Dillon

Donaldson

et al. 2020

jmla

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Background: A mutually beneficial need exists between postdoctoral scholars (postdocs) who want to grow their science communication, networking, and teaching skills and those in the general health sciences research community who want to learn more about specialized topics. Recognizing this need, interdepartmental teams at two public universities began offering postdocs a teaching opportunity at their health sciences libraries, which serve as discipline-neutral learning spaces for researchers.Case Presentation: At the University of Pittsburgh (Pitt) and Virginia Commonwealth University (VCU), postdocs are invited to submit talk proposals on “how to do something” related to the health sciences. Selected postdoc speakers conduct one-hour talks, get science communication and teaching support, have their talks uploaded to YouTube, and receive feedback from attendees.Conclusions: Postdoc participants appreciated being able to participate in this program, and attendees strongly indicated that the talks are of value. At VCU, surveys of the 25 talks from 2015–2018 showed that 91% of attendees believed they had a better understanding of the topic because of their attendance, and 85% planned to use the knowledge they gained. More than a year after their talks, several postdocs across both institutions informed the coordinators that they were subsequently contacted for advice or further discussion, with 2 postdocs stating that it helped them with job opportunities. This model can be easily adapted at other health sciences libraries to benefit their academic communities.

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Skill discrepancies between research, education, and jobs reveal the critical need to supply soft skills for the data economy

Cited by 114 publications

References 25 publications

Forecasting innovations in science, technology, and education

Forecasting innovations in science, technology, and education

Pesquisas em Análise de Redes Sociais e LGPD, análises e recomendações

Partnering with postdocs: a library model for supporting postdoctoral researchers and educating the academic research community

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