Science And The Social Good

Author : Massimo Lapucci,Ciro Cattuto
Publisher : Springer
Page : 99 pages
File Size : 53,5 Mb
Release : 2021-10-14
Category : Science
ISBN : 3030789845

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Data Science for Social Good by Massimo Lapucci,Ciro Cattuto Pdf

This book is a collection of reflections by thought leaders at first-mover organizations in the exploding field of "Data Science for Social Good", meant as the application of knowledge from computer science, complex systems and computational social science to challenges such as humanitarian response, public health, sustainable development. The book provides both an overview of scientific approaches to social impact – identifying a social need, targeting an intervention, measuring impact – and the complementary perspective of funders and philanthropies that are pushing forward this new sector. This book will appeal to students and researchers in the rapidly growing field of data science for social impact, to data scientists at companies whose data could be used to generate more public value, and to decision makers at nonprofits, foundations, and agencies that are designing their own agenda around data.

Author : John P. Herron
Publisher : OUP USA
Page : 289 pages
File Size : 53,5 Mb
Release : 2010-02-04
Category : History
ISBN : 9780195383546

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Science and the Social Good by John P. Herron Pdf

Using biographies of three natural scientists--geologist Clarence King, forester Robert Marshall, and biologist Rachel Carson--Science and the Social Good investigates the links between nature's scientific study and social improvement.

Author : Anonim
Publisher : Elsevier
Page : 288 pages
File Size : 42,9 Mb
Release : 2024-01-14
Category : Mathematics
ISBN : 9780323885454

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Applying Computational Intelligence for Social Good by Anonim Pdf

There’s no denying that CI is on its way to change the world as we know it. There are various social domains such as Environment, Education, Information Security, Healthcare, Crisis Response, Human Behavior and Bias, Disaster Management, Industrial management and most recently Epidemics and Outbreaks are highly in need of Intelligent Technologies to address their issues. This book presents the views on how Computational Intelligent and ICT technologies can be applied to ease or solve social problems by sharing examples of research results from studies of social anxiety, environmental issues, mobility of the disabled, and problems in social safety. As with most changes in life, there will be positive and negative impacts on society as artificial intelligence continues to transform the world, we live in. With the idea of future scope in research, the book focuses on the challenges that might be faced (and we should be thinking about how to address them now) as well as several of the positive impacts artificial intelligence will have on society. Explores a number of key themes, including self-organization, complex adaptive systems, and emergent computation for solving socially relevant problems Focuses on Forecasting applications, Human Behavior and Critics response analysis in social forums, Healthcare monitoring Systems, Disaster Management, Industrial management, and most recently, Epidemics and Outbreaks Brings together many different aspects of the current research on intelligence technologies, such as neural networks, support vector machines, fuzzy logic, and evolutionary computation

Author : Massimo Lapucci,Ciro Cattuto
Publisher : Unknown
Page : 0 pages
File Size : 52,6 Mb
Release : 2021
Category : Electronic
ISBN : 3030789861

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Data Science for Social Good by Massimo Lapucci,Ciro Cattuto Pdf

This book is a collection of reflections by thought leaders at first-mover organizations in the exploding field of "Data Science for Social Good", meant as the application of knowledge from computer science, complex systems and computational social science to challenges such as humanitarian response, public health, sustainable development. The book provides both an overview of scientific approaches to social impact - identifying a social need, targeting an intervention, measuring impact - and the complementary perspective of funders and philanthropies that are pushing forward this new sector. This book will appeal to students and researchers in the rapidly growing field of data science for social impact, to data scientists at companies whose data could be used to generate more public value, and to decision makers at nonprofits, foundations, and agencies that are designing their own agenda around data.

Author : Jane Farmer,Anthony McCosker,Kath Albury,Amir Aryani
Publisher : Springer Nature
Page : 140 pages
File Size : 44,8 Mb
Release : 2022-10-29
Category : Political Science
ISBN : 9789811955549

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Data for Social Good by Jane Farmer,Anthony McCosker,Kath Albury,Amir Aryani Pdf

This open access book provides practical guidance for non-profits and community sector organisations about how to get started with data analytics projects using their own organisations’ datasets and open public data. The book shares best practices on collaborative social data projects and methodology. For researchers, the work offers a playbook for partnering with community organisations in data projects for public good and gives worked examples of projects of various sizes and complexity.

Author : Ivan Miguel Pires,Susanna Spinsante,Eftim Zdravevski,Petre Lameski
Publisher : Springer Nature
Page : 319 pages
File Size : 47,6 Mb
Release : 2021-12-02
Category : Computers
ISBN : 9783030914219

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Smart Objects and Technologies for Social Good by Ivan Miguel Pires,Susanna Spinsante,Eftim Zdravevski,Petre Lameski Pdf

This book constitutes the refereed post-conference proceedings of the 7th EAI International Conference on Smart Objects and Technologies for social Good, GOODTECHS 2021, held in September 2021. Due to COVID-19 pandemic the conference was held virtually. The 24 full papers presented were selected from 53 submissions and issue design, implementation, deployment, operation, and evaluation of smart objects and technologies for social good. Social goods are products and services provided through private enterprises, government, or non-profit institutions and are related to healthcare, safety, sports, environment, democracy, computer science, and human rights. The papers are arranged in tracks on machine learning; IoT; social considerations of technology; technology and ageing; healthcare.

Author : Bernard Gert Stone Professor of Intellectual and Moral Philosophy
Publisher : Oxford University Press, USA
Page : 457 pages
File Size : 47,6 Mb
Release : 1998-07-31
Category : Medical
ISBN : 9780198028598

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Morality : Its Nature and Justification by Bernard Gert Stone Professor of Intellectual and Moral Philosophy Pdf

Bernard Gert's classic work Morality, in which he argues his distinctive and comprehensive moral theory, is now in its sixth edition. Gert argues that morality is an informal system that does not provide answers to every moral question but does always limit the range of morally acceptable options and so explains why some moral questions cannot be resolved. Gert describes the two-step procedure that is used in moral decisions and judgments, and he shows that moral rules cannot be understood independently of the system in which they are embedded. Although his moral theory is sophisticated, it is presented with a clarity that will appeal to undergraduate and graduate students alike, as well as anyone with a general interest in applied ethics. In this new edition, Gert perfects the consistency of his views by presenting his argument in greater detail; he also revises the text in light of a critical book and two symposia dedicated to his theory that have surfaced since the book's last publication. This is the definitive edition to the work that has received so much attention and acclaim.

Author : Emilio Zagheni,Stevie Chancellor
Publisher : Frontiers Media SA
Page : 118 pages
File Size : 41,7 Mb
Release : 2020-07-31
Category : Science
ISBN : 9782889639113

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Workshop Proceedings of the 13th International AAAI Conference on Web and Social Media by Emilio Zagheni,Stevie Chancellor Pdf

Author : Jim Ridgway
Publisher : Springer Nature
Page : 621 pages
File Size : 44,6 Mb
Release : 2023-03-10
Category : Social Science
ISBN : 9783031207488

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Statistics for Empowerment and Social Engagement by Jim Ridgway Pdf

“This book is a remarkable achievement” Gerd Gigerenzer This book offers practical approaches to working in a new field of knowledge - Civic Statistics - which sets out to engage with, and overcome well documented and long-standing problems in teaching quantitative skills. The book includes 23 peer-reviewed chapters, written in coordination by an international group of experts from ten countries. The book aims to support and enhance the work of teachers and lecturers working both at the high school and tertiary (university) levels. It is designed to promote and improve the critical understanding of quantitative evidence relevant to burning social issues – such as epidemics, climate change, poverty, migration, natural disasters, inequality, employment, and racism. Effective citizen engagement with social issues requires active participation and a broad understanding of data and statistics about societal issues. However, many statistics curricula are not designed to teach relevant skills nor to improve learners' statistical literacy. Evidence about social issues is provided to the public via print and digital media, official statistics offices, and other information channels, and a great deal of data is accessible both as aggregated summaries and as individual records. Chapters illustrate the approaches needed to teach and promote the knowledge, skills, dispositions, and enabling processes associated with critical understanding of Civic Statistics presented in many forms. These include: statistical analysis of authentic multivariate data; use of dynamic data visualisations; deconstructing texts about the social and economic well-being of societies and communities. Chapters discuss: the development of curricula and educational resources; use of emerging technologies and visualizations; preparation of teachers and teaching approaches; sources for relevant datasets and rich texts about Civic Statistics; ideas regarding future research, assessment, collaborations between different stakeholders; and other systemic issues.

Author : Franklin S. Allaire,Jennifer E. Killham
Publisher : IAP
Page : 446 pages
File Size : 46,7 Mb
Release : 2023-01-01
Category : Education
ISBN : 9798887301297

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Teaching and Learning Online by Franklin S. Allaire,Jennifer E. Killham Pdf

Science is unique among the disciplines since it is inherently hands-on. However, the hands-on nature of science instruction also makes it uniquely challenging when teaching in virtual environments. How do we, as science teachers, deliver high-quality experiences to secondary students in an online environment that leads to age/grade-level appropriate science content knowledge and literacy, but also collaborative experiences in the inquiry process and the nature of science? The expansion of online environments for education poses logistical and pedagogical challenges for early childhood and elementary science teachers and early learners. Despite digital media becoming more available and ubiquitous and increases in online spaces for teaching and learning (Killham et al., 2014; Wong et al., 2018), PreK-12 teachers consistently report feeling underprepared or overwhelmed by online learning environments (Molnar et al., 2021; Seaman et al., 2018). This is coupled with persistent challenges related to elementary teachers’ lack of confidence and low science teaching self-efficacy (Brigido, Borrachero, Bermejo, & Mellado, 2013; Gunning & Mensah, 2011). Teaching and Learning Online: Science for Secondary Grade Levels comprises three distinct sections: Frameworks, Teacher’s Journeys, and Lesson Plans. Each section explores the current trends and the unique challenges facing secondary teachers and students when teaching and learning science in online environments. All three sections include alignment with Next Generation Science Standards, tips and advice from the authors, online resources, and discussion questions to foster individual reflection as well as small group/classwide discussion. Teacher’s Journeys and Lesson Plan sections use the 5E model (Bybee et al., 2006; Duran & Duran, 2004). Ideal for undergraduate teacher candidates, graduate students, teacher educators, classroom teachers, parents, and administrators, this book addresses why and how teachers use online environments to teach science content and work with elementary students through a research-based foundation.

Author : Miltiadis D. Lytras,Anna Visvizi,Kwok Tai Chui
Publisher : MDPI
Page : 416 pages
File Size : 52,6 Mb
Release : 2020-03-19
Category : Technology & Engineering
ISBN : 9783039282203

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Big Data Research for Social Sciences and Social Impact by Miltiadis D. Lytras,Anna Visvizi,Kwok Tai Chui Pdf

A new era of innovation is enabled by the integration of social sciences and information systems research. In this context, the adoption of Big Data and analytics technology brings new insight to the social sciences. It also delivers new, flexible responses to crucial social problems and challenges. We are proud to deliver this edited volume on the social impact of big data research. It is one of the first initiatives worldwide analyzing of the impact of this kind of research on individuals and social issues. The organization of the relevant debate is arranged around three pillars: Section A: Big Data Research for Social Impact: • Big Data and Their Social Impact; • (Smart) Citizens from Data Providers to Decision-Makers; • Towards Sustainable Development of Online Communities; • Sentiment from Online Social Networks; • Big Data for Innovation. Section B. Techniques and Methods for Big Data driven research for Social Sciences and Social Impact: • Opinion Mining on Social Media; • Sentiment Analysis of User Preferences; • Sustainable Urban Communities; • Gender Based Check-In Behavior by Using Social Media Big Data; • Web Data-Mining Techniques; • Semantic Network Analysis of Legacy News Media Perception. Section C. Big Data Research Strategies: • Skill Needs for Early Career Researchers—A Text Mining Approach; • Pattern Recognition through Bibliometric Analysis; • Assessing an Organization’s Readiness to Adopt Big Data; • Machine Learning for Predicting Performance; • Analyzing Online Reviews Using Text Mining; • Context–Problem Network and Quantitative Method of Patent Analysis. Complementary social and technological factors including: • Big Social Networks on Sustainable Economic Development; Business Intelligence.

Author : Milind Tambe,Eric Rice
Publisher : Cambridge University Press
Page : 269 pages
File Size : 42,7 Mb
Release : 2018-11-29
Category : Computers
ISBN : 9781108425995

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Artificial Intelligence and Social Work by Milind Tambe,Eric Rice Pdf

An introductory guide with real-life examples on using AI to help homeless youth, diabetes patients, and other social welfare interventions.

Author : National Academies of Sciences, Engineering, and Medicine,Division of Behavioral and Social Sciences and Education,Division on Engineering and Physical Sciences,Board on Science Education,Computer Science and Telecommunications Board,Committee on Applied and Theoretical Statistics,Board on Mathematical Sciences and Analytics
Publisher : National Academies Press
Page : 223 pages
File Size : 40,7 Mb
Release : 2020-09-02
Category : Education
ISBN : 9780309677738

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Roundtable on Data Science Postsecondary Education by National Academies of Sciences, Engineering, and Medicine,Division of Behavioral and Social Sciences and Education,Division on Engineering and Physical Sciences,Board on Science Education,Computer Science and Telecommunications Board,Committee on Applied and Theoretical Statistics,Board on Mathematical Sciences and Analytics Pdf

Established in December 2016, the National Academies of Sciences, Engineering, and Medicine's Roundtable on Data Science Postsecondary Education was charged with identifying the challenges of and highlighting best practices in postsecondary data science education. Convening quarterly for 3 years, representatives from academia, industry, and government gathered with other experts from across the nation to discuss various topics under this charge. The meetings centered on four central themes: foundations of data science; data science across the postsecondary curriculum; data science across society; and ethics and data science. This publication highlights the presentations and discussions of each meeting.

Author : Peggy Cellier,Kurt Driessens
Publisher : Springer Nature
Page : 688 pages
File Size : 51,5 Mb
Release : 2020-03-27
Category : Computers
ISBN : 9783030438234

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Machine Learning and Knowledge Discovery in Databases by Peggy Cellier,Kurt Driessens Pdf

This two-volume set constitutes the refereed proceedings of the workshops which complemented the 19th Joint European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD, held in Würzburg, Germany, in September 2019. The 70 full papers and 46 short papers presented in the two-volume set were carefully reviewed and selected from 200 submissions. The two volumes (CCIS 1167 and CCIS 1168) present the papers that have been accepted for the following workshops: Workshop on Automating Data Science, ADS 2019; Workshop on Advances in Interpretable Machine Learning and Artificial Intelligence and eXplainable Knowledge Discovery in Data Mining, AIMLAI-XKDD 2019; Workshop on Decentralized Machine Learning at the Edge, DMLE 2019; Workshop on Advances in Managing and Mining Large Evolving Graphs, LEG 2019; Workshop on Data and Machine Learning Advances with Multiple Views; Workshop on New Trends in Representation Learning with Knowledge Graphs; Workshop on Data Science for Social Good, SoGood 2019; Workshop on Knowledge Discovery and User Modelling for Smart Cities, UMCIT 2019; Workshop on Data Integration and Applications Workshop, DINA 2019; Workshop on Machine Learning for Cybersecurity, MLCS 2019; Workshop on Sports Analytics: Machine Learning and Data Mining for Sports Analytics, MLSA 2019; Workshop on Categorising Different Types of Online Harassment Languages in Social Media; Workshop on IoT Stream for Data Driven Predictive Maintenance, IoTStream 2019; Workshop on Machine Learning and Music, MML 2019; Workshop on Large-Scale Biomedical Semantic Indexing and Question Answering, BioASQ 2019. The chapter "Supervised Human-guided Data Exploration" is published open access under a Creative Commons Attribution 4.0 International license (CC BY).

Author : Irena Koprinska,Michael Kamp,Annalisa Appice,Corrado Loglisci,Luiza Antonie,Albrecht Zimmermann,Riccardo Guidotti,Özlem Özgöbek,Rita P. Ribeiro,Ricard Gavaldà,João Gama,Linara Adilova,Yamuna Krishnamurthy,Pedro M. Ferreira,Donato Malerba,Ibéria Medeiros,Michelangelo Ceci,Giuseppe Manco,Elio Masciari,Zbigniew W. Ras,Peter Christen,Eirini Ntoutsi,Erich Schubert,Arthur Zimek,Anna Monreale,Przemyslaw Biecek,Salvatore Rinzivillo,Benjamin Kille,Andreas Lommatzsch,Jon Atle Gulla
Publisher : Springer Nature
Page : 619 pages
File Size : 40,6 Mb
Release : 2021-02-01
Category : Computers
ISBN : 9783030659653

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ECML PKDD 2020 Workshops by Irena Koprinska,Michael Kamp,Annalisa Appice,Corrado Loglisci,Luiza Antonie,Albrecht Zimmermann,Riccardo Guidotti,Özlem Özgöbek,Rita P. Ribeiro,Ricard Gavaldà,João Gama,Linara Adilova,Yamuna Krishnamurthy,Pedro M. Ferreira,Donato Malerba,Ibéria Medeiros,Michelangelo Ceci,Giuseppe Manco,Elio Masciari,Zbigniew W. Ras,Peter Christen,Eirini Ntoutsi,Erich Schubert,Arthur Zimek,Anna Monreale,Przemyslaw Biecek,Salvatore Rinzivillo,Benjamin Kille,Andreas Lommatzsch,Jon Atle Gulla Pdf

This volume constitutes the refereed proceedings of the workshops which complemented the 20th Joint European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD, held in September 2020. Due to the COVID-19 pandemic the conference and workshops were held online. The 43 papers presented in volume were carefully reviewed and selected from numerous submissions. The volume presents the papers that have been accepted for the following workshops: 5th Workshop on Data Science for Social Good, SoGood 2020; Workshop on Parallel, Distributed and Federated Learning, PDFL 2020; Second Workshop on Machine Learning for Cybersecurity, MLCS 2020, 9th International Workshop on New Frontiers in Mining Complex Patterns, NFMCP 2020, Workshop on Data Integration and Applications, DINA 2020, Second Workshop on Evaluation and Experimental Design in Data Mining and Machine Learning, EDML 2020, Second International Workshop on eXplainable Knowledge Discovery in Data Mining, XKDD 2020; 8th International Workshop on News Recommendation and Analytics, INRA 2020. The papers from INRA 2020 are published open access and licensed under the terms of the Creative Commons Attribution 4.0 International License.