Equal parts mail art, data visualization, and affectionate correspondence, Dear Data celebrates "the infinitesimal, incomplete, imperfect, yet exquisitely human details of life," in the words of Maria Popova (Brain Pickings), who introduces this charming and graphically powerful book. For one year, Giorgia Lupi, an Italian living in New York, and Stefanie Posavec, an American in London, mapped the particulars of their daily lives as a series of hand-drawn postcards they exchanged via mail weekly—small portraits as full of emotion as they are data, both mundane and magical. Dear Data reproduces in pinpoint detail the full year's set of cards, front and back, providing a remarkable portrait of two artists connected by their attention to the details of their lives—including complaints, distractions, phone addictions, physical contact, and desires. These details illuminate the lives of two remarkable young women and also inspire us to map our own lives, including specific suggestions on what data to draw and how. A captivating and unique book for designers, artists, correspondents, friends, and lovers everywhere.

This original analog activity kit, from the artist behind the Dear Data project, invites you to solow down and observe the smallest details of daily life, from digital activities to emotions. Each box contains blank postcards for two friends to draw and share. An eight-page booklet provides guided instruction on how to turn observations into beautiful and revealing patterns. A perfect gift for anyone interested in information design, creative expression, drawing, journaling, or living a creatively examined life.

This book presents the proceedings of four conferences: The 16th International Conference on Frontiers in Education: Computer Science and Computer Engineering + STEM (FECS'20), The 16th International Conference on Foundations of Computer Science (FCS'20), The 18th International Conference on Software Engineering Research and Practice (SERP'20), and The 19th International Conference on e-Learning, e-Business, Enterprise Information Systems, & e-Government (EEE'20). The conferences took place in Las Vegas, NV, USA, July 27-30, 2020 as part of the larger 2020 World Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE'20), which features 20 major tracks. Authors include academics, researchers, professionals, and students. This book contains an open access chapter entitled, "Advances in Software Engineering, Education, and e-Learning". Presents the proceedings of four conferences as part of the 2020 World Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE'20); Includes the tracks Computer Engineering + STEM, Foundations of Computer Science, Software Engineering Research, and e-Learning, e-Business, Enterprise Information Systems, & e-Government; Features papers from FECS'20, FCS'20, SERP'20, EEE'20, including one open access chapter.

Improving Equity in Data Science offers a comprehensive look at the ways in which data science can be conceptualized and engaged more equitably within the K-16 classroom setting, moving beyond merely broadening participation in educational opportunities. This book makes the case for field wide definitions, literacies and practices for data science teaching and learning that can be commonly discussed and used, and provides examples from research of these practices and literacies in action. Authors share stories and examples of research wherein data science advances equity and empowerment through the critical examination of social, educational, and political topics. In the first half of the book, readers will learn how data science can deliberately be embedded within K-12 spaces to empower students to use it to identify and address inequity. The latter half will focus on equity of access to data science learning opportunities in higher education, with a final synthesis of lessons learned and presentation of a 360-degree framework that links access, curriculum, and pedagogy as multiple facets collectively essential to comprehensive data science equity work. Practitioners and teacher educators will be able to answer the question, “how can data science serve to move equity efforts in computing beyond basic inclusion to empowerment?” whether the goal is to simply improve definitions and approaches to research on data science or support teachers of data science in creating more equitable and inclusive environments within their classrooms.

Communicating with Data aims to help students and researchers write about their insights in a way that is both compelling and faithful to the data.

The emerging field of Data Science has had a large impact on science and society. This book explores how one distinguishing feature of Data Science – its focus on data collected from social and environmental contexts within which learners often find themselves deeply embedded – suggests serious implications for learning and education. Drawing from theories of learning and identity development in the learning sciences, this volume investigates the impacts of these complex relationships on how learners think about, use, and share data, including their understandings of data in light of history, race, geography, and politics. More than just using ‘real world examples’ to motivate students to work with data, this book demonstrates how learners’ relationships to data shape how they approach those data with agency, as part of their social and cultural lives. Together, the contributions offer a vision of how the learning sciences can contribute to a more expansive, socially aware, and transformative Data Science Education. The chapters in this book were originally published as a special issue of the Journal of the Learning Sciences.

This volume captures the status of digital humanities within the Arts in South Africa. The primary research methodology falls within the broader tradition of phenomenological hermeneutics, with a specific emphasis on visual hermeneutics. Some of the tools utilised as part of the visual hermeneutic methods are geographic information system (GIS) mapping, sensory ethnography and narrative pathways. Digital humanities is positioned here as the necessary engagement of the humanities with the pervasive digital culture of the 21st century. It is posited that the humanities and arts, in particular, have an essential role to play in unlocking meaning from scientific, technological and data-driven research. The critical engagement with digital humanities is foregrounded throughout the volume, as this crucial engagement works through images. Images (as understood within image studies) are not merely another form of text but always more than text. As such, this book is the first of its kind in the South African scholarly landscape, and notably also a first on the African continent. Its targeted audience include both scholars within the humanities, particularly in the arts and social sciences. Researchers pursuing the new field of digital humanities may also find the ideas presented in this book significant. Several of the chapters analyse the question of dealing with digital humanities through representations of the self as viewed from the Global South. However, it should be noted that self-representation is not the only area covered in this volume. The latter chapters of the book discuss innovative ways of implementing digital humanities strategies and methodologies for teaching and researching in South Africa.