The 9 Pitfalls of Data Science

2019 ◽  
Author(s):  
Gary Smith ◽  
Jay Cordes
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Big Data ◽  
Critical Thinking ◽  
Real World ◽  
Data Science ◽  
Thinking Skills ◽  
Critical Thinking Skills ◽  
Scientific Rigor ◽  
Good Data

Scientific rigor and critical thinking skills are indispensable in this age of big data because machine learning and artificial intelligence are often led astray by meaningless patterns. The 9 Pitfalls of Data Science is loaded with entertaining real-world examples of both successful and misguided approaches to interpreting data, both grand successes and epic failures. Anyone can learn to distinguish between good data science and nonsense. We are confident that readers will learn how to avoid being duped by data, and make better, more informed decisions. Whether they want to be effective creators, interpreters, or users of data, they need to know the nine pitfalls of data science.

Data Science: Big Data, Machine Learning, and Artificial Intelligence

2018 ◽  
Vol 15 (3) ◽  
pp. 497-498 ◽  
Author(s):  
Ruth C. Carlos ◽  
Charles E. Kahn ◽  
Safwan Halabi
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Big Data ◽  
Data Science

The Six-Sentence Argument: Training Critical Thinking Skills Using Peer Review

2017 ◽  
Vol 3 (2) ◽  
pp. 118-128
Author(s):  
Julian Kölbel ◽  
Erik Jentges
Keyword(s):  
Critical Thinking ◽  
Peer Review ◽  
Real World ◽  
Logical Structure ◽  
Thinking Skills ◽  
Critical Thinking Skills ◽  
Decision Situation ◽  
Course Of Action

The six-sentence argument (6SA) is an exercise to train critical thinking skills. Faced with a decision situation, students argue for their preferred course of action using a logical structure of exactly six sentences. Through a guided peer review, students engage critically with other students’ arguments and receive detailed feedback on their own arguments. This exercise helps students craft convincing arguments and reflect on their reasoning in a format that can be applied in real-world situations. A key strength of the six-sentence argument exercise is that it can be administered online and is scalable for large courses with little additional workload for the instructor.

scholarly journals Unlocking the Power of Artificial Intelligence and Big Data in Medicine

10.2196/16607 ◽  
2019 ◽  
Vol 21 (11) ◽  
pp. e16607 ◽  
Author(s):  
Christian Lovis
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Big Data ◽  
Decision Support ◽  
Data Science ◽  
Global Environment ◽  
Data Driven ◽  
Cross Linking ◽  
Science And Society ◽  
Slowing Down

Data-driven science and its corollaries in machine learning and the wider field of artificial intelligence have the potential to drive important changes in medicine. However, medicine is not a science like any other: It is deeply and tightly bound with a large and wide network of legal, ethical, regulatory, economical, and societal dependencies. As a consequence, the scientific and technological progresses in handling information and its further processing and cross-linking for decision support and predictive systems must be accompanied by parallel changes in the global environment, with numerous stakeholders, including citizen and society. What can be seen at the first glance as a barrier and a mechanism slowing down the progression of data science must, however, be considered an important asset. Only global adoption can transform the potential of big data and artificial intelligence into an effective breakthroughs in handling health and medicine. This requires science and society, scientists and citizens, to progress together.

scholarly journals Inquiry and critical thinking skills for the next generation: from artificial intelligence back to human intelligence

2019 ◽  
Vol 6 (1) ◽  
Author(s):  
Jonathan Michael Spector ◽  
Shanshan Ma
Keyword(s):  
Artificial Intelligence ◽  
Critical Thinking ◽  
21St Century ◽  
Thinking Skills ◽  
Critical Thinking Skills ◽  
Habits Of Mind ◽  
Human Intelligence ◽  
Developmental Approach ◽  
Multiple Levels ◽  
Definition Of

Abstract Along with the increasing attention to artificial intelligence (AI), renewed emphasis or reflection on human intelligence (HI) is appearing in many places and at multiple levels. One of the foci is critical thinking. Critical thinking is one of four key 21st century skills – communication, collaboration, critical thinking and creativity. Though most people are aware of the value of critical thinking, it lacks emphasis in curricula. In this paper, we present a comprehensive definition of critical thinking that ranges from observation and inquiry to argumentation and reflection. Given a broad conception of critical thinking, a developmental approach beginning with children is suggested as a way to help develop critical thinking habits of mind. The conclusion of this analysis is that more emphasis should be placed on developing human intelligence, especially in young children and with the support of artificial intelligence. While much funding and support goes to the development of artificial intelligence, this should not happen at the expense of human intelligence. Overall, the purpose of this paper is to argue for more attention to the development of human intelligence with an emphasis on critical thinking.

Using Consulting Projects to Teach Critical- Thinking Skills in Business Communication

1996 ◽  
Vol 59 (4) ◽  
pp. 77-87 ◽  
Author(s):  
Clive Muir
Keyword(s):  
Critical Thinking ◽  
Real World ◽  
Technical Communication ◽  
Business Communication ◽  
Thinking Skills ◽  
Critical Thinking Skills ◽  
Political Environment ◽  
Critical Approach ◽  
Teaching Business ◽  
Successful Communication

There is more to successful communication than learning the styles and proce dures often found in the traditional business communication syllabus. In this article, I discuss the benefits of using a critical-thinking approach to helping students to understand the complex social and political environment in which business communication is practiced. I explain how communication consult ing projects can be used to examine the context of organizational communica tion. Finally, I discuss the implications for teaching business and technical communication using a real-world, critical approach.

scholarly journals Unlocking the Power of Artificial Intelligence and Big Data in Medicine (Preprint)

2019 ◽  
Author(s):  
Christian Lovis
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Big Data ◽  
Decision Support ◽  
Data Science ◽  
Global Environment ◽  
Data Driven ◽  
Cross Linking ◽  
Science And Society ◽  
Slowing Down

UNSTRUCTURED Data-driven science and its corollaries in machine learning and the wider field of artificial intelligence have the potential to drive important changes in medicine. However, medicine is not a science like any other: It is deeply and tightly bound, with a large and wide network of legal, ethical, regulatory, economical, and societal dependencies. As a consequence, the scientific and technological progresses in handling information and its further processing and cross-linking for decision support and predictive systems must be accompanied by parallel changes in the global environment, with numerous stakeholders, including citizen and society. What can be seen at the first glance as a barrier and mechanism slowing down the progression of data science must, however, be considered an important asset. Only global adoption can transform the potential of big data and artificial intelligence into an effective breakthroughs in handling health and medicine. This requires science and society, scientists and citizens, to progress together.

scholarly journals 2021 Undergraduate Big Data Challenge: Infodemiology for the Future of Digital and Public Health

2021 ◽  
pp. 1-20
Keyword(s):  
Public Health ◽  
Big Data ◽  
Experiential Learning ◽  
Scientific Inquiry ◽  
Data Science ◽  
Thinking Skills ◽  
Critical Thinking Skills ◽  
Research Projects ◽  
Independent Research ◽  
Learning Program

STEM Fellowship’s Undergraduate Big Data Challenge (UnBDC) is an inquiry-driven and experiential learning program that invites students from across the country to strengthen their problem-solving and critical thinking skills while gaining familiarity with the fundamentals of data science. By allowing students to undertake independent research projects that tackle realworld public health and bioinformatics problems, the BDC fosters scientific inquiry and prompts new and innovative ideas.

scholarly journals The Artificial Intelligence (AI) during COVID-19 Pandemic

2021 ◽  
Vol 1 (1) ◽  
pp. 3-5
Author(s):  
Binta Suleman Abdullahi ◽  
Faisal Muhammad
Keyword(s):  
Public Health ◽  
Artificial Intelligence ◽  
Machine Learning ◽  
Big Data ◽  
Data Science ◽  
Health Issue ◽  
Global Public Health ◽  
Health Crisis ◽  
Public Health Crisis

The coronavirus disease 2019 (COVID-19) pandemic is the twenty-first century's first global public health crisis. Currently, a variety of AI-powered initiatives based on data science, "machine learning," or "big data," are being employed in a variety of disciplines to forecast, explain, and manage the various scenarios produced by the health issue.

scholarly journals The Use Of Debates Of Current Economic Issues As An Aid For Developing Critical Thinking Skills

2011 ◽  
Vol 2 (12) ◽  
Author(s):  
Patricia T. Papachristou
Keyword(s):  
Public Policy ◽  
Critical Thinking ◽  
Learning Process ◽  
Real World ◽  
Student Involvement ◽  
Thinking Skills ◽  
Critical Thinking Skills ◽  
Policy Issues ◽  
The Real ◽  
Economic Issues

Economics is exciting because it can deal effectively with critical public policy issues. Unfortunately, this aspect of economics is usually left for more advanced courses. Consequently many students find principles of economics boring and not relevant to the real world. The use of public policy issues can foster greater student involvement in the learning process with a higher level of critical thinking skills.

Simulation

2010 ◽  
pp. 1-14
Author(s):  
Istvan Molnar
Keyword(s):  
Critical Thinking ◽  
Real World ◽  
Curriculum Design ◽  
Career Paths ◽  
Thinking Skills ◽  
Critical Thinking Skills ◽  
Modelling And Simulation ◽  
Core Knowledge ◽  
The Core ◽  
Simulation Education

This chapter attempts to define the knowledge body of simulation and describes the underlying principles of simulation education. It argues that any programs in Modelling and Simulation should recognize the multi- and interdisciplinary character of the field and realize the program in wide co-operation. The chapter starts with the clarification of the major objectives and principles of the Modelling and Simulation Program and the related degrees, based on a broad business and real world perspective. After reviewing students’ background, especially communication, interpersonal, team, analytical and critical thinking skills, furthermore some of the additional skills facilitating entering a career, the employer’s view and possible career paths are examined. Finally, the core knowledge body, the curriculum design and program related issues are discussed. The author hopes to contribute to the recent discussions about modelling and simulation education and the profession.

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