The Intersection of Data Science, Tech and Law

https://larc.cardozo.yu.edu/flyers-2022-2023/1038/thumbnail.jp

The Art of collaborative storytelling: arts-based representations of narrative contexts”

Draft for: ISA Research Committee on Biography and Society. The author analyses several theories about science and arts converging in a new point of view. Also talks about the functions of storytelling. He starts his work with these phrases: 'Art and science have a common thread - both are fuelled by creativity. Whether writing a paper based on my data or filling a canvas with paint, both processes tell a story' (Taylor 2001) 'Science and art are complementary expressions of the same collective subconscious of society' (Morton 1997:1

A Future of Failure? The Flow of Technology Talent into Government and Civil Society

This report is an evaluation of the technology talent landscape shows a severe paucity of individuals with technical skills in computer science, data science, and the Internet or other information technology expertise in civil society and government. It investigates broadly the health of the talent pipeline that connects individuals studying or working in information technology-related disciplines to careers in public sector and civil society institutions. Barriers to recruitment and retention of individuals with the requisite skills include compensation, a perceived inability to pursue groundbreaking work, and cultural aversion to innovation

Virtual Astronomy, Information Technology, and the New Scientific Methodology

All sciences, including astronomy, are now entering the era of information abundance. The exponentially increasing volume and complexity of modern data sets promises to transform the scientific practice, but also poses a number of common technological challenges. The Virtual Observatory concept is the astronomical community's response to these challenges: it aims to harness the progress in information technology in the service of astronomy, and at the same time provide a valuable testbed for information technology and applied computer science. Challenges broadly fall into two categories: data handling (or "data farming"), including issues such as archives, intelligent storage, databases, interoperability, fast networks, etc., and data mining, data understanding, and knowledge discovery, which include issues such as automated clustering and classification, multivariate correlation searches, pattern recognition, visualization in highly hyperdimensional parameter spaces, etc., as well as various applications of machine learning in these contexts. Such techniques are forming a methodological foundation for science with massive and complex data sets in general, and are likely to have a much broather impact on the modern society, commerce, information economy, security, etc. There is a powerful emerging synergy between the computationally enabled science and the science-driven computing, which will drive the progress in science, scholarship, and many other venues in the 21st century

Analysis of Students' Metacognition Level in Solving Scientific Literacy on the Topic of Static Fluid

The purpose of this study is to describe students' metacognition level in solving scientific literacy. This research use the descriptive method. The subject of this research is 99 students of grade XI in SMA Batik 2 Surakarta. Data collection methods used are test methods which its instruments based on an indicator of scientific literacy and metacognition ability. Data analysis techniques use quantitative descriptive analysis. The results showed that the achievement of scientific literacy in science as a body of knowledge, science as a way of thinking, science as a way of investigating, and science as an interaction between technology and society is still low at below 35%. This is due to 84% student occupy in low metacognition level that is 30% students in tacit use level, 54% students in aware use level, and only 16% students occupy in high metacognition level that is in strategic use level

Mountain Observations: Monitoring, Data, and Information for Science, Policy, and Society

Observations play a key role in tracking mountain global change and its impacts, understanding the various processes and feedback mechanisms involved, and delivering more reliable projections of the future to society. This Policy Brief provides an overview of the current state of multi-disciplinary mountain observations. It represents a contribution of the Global Network on Observations and Information in Mountain Environments (GEO Mountains) to the observance of the International Year of Sustainable Mountain Development 2022

Data science: a game changer for science and innovation

AbstractThis paper shows data science's potential for disruptive innovation in science, industry, policy, and people's lives. We present how data science impacts science and society at large in the coming years, including ethical problems in managing human behavior data and considering the quantitative expectations of data science economic impact. We introduce concepts such as open science and e-infrastructure as useful tools for supporting ethical data science and training new generations of data scientists. Finally, this work outlines SoBigData Research Infrastructure as an easy-to-access platform for executing complex data science processes. The services proposed by SoBigData are aimed at using data science to understand the complexity of our contemporary, globally interconnected society