<div dir="ltr"><p style="box-sizing:border-box;margin:0px;padding:0px 0px 1em;border:0px;outline:0px;font-size:14px;vertical-align:baseline;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;color:rgb(102,102,102);font-family:"Open Sans",Arial,sans-serif"><a href="https://codata.org/wp-content/uploads/2021/03/978-3-030-70370-7.jpeg" style="box-sizing:border-box;margin:0px;padding:0px;border:0px;outline:0px;vertical-align:baseline;background:transparent;color:rgb(46,163,242);text-decoration-line:none"><img class="gmail-size-full gmail-wp-image-5605 gmail-alignright" src="https://codata.org/wp-content/uploads/2021/03/978-3-030-70370-7.jpeg" alt="" width="306" height="463" style="box-sizing: border-box; margin: 0px 0px 0px 15px; padding: 0px; border: 0px; outline: 0px; text-size-adjust: 100%; vertical-align: baseline; background: transparent; max-width: 100%; height: auto; float: right; display: inline;"></a>We are pleased to announce the publication of a new book, Resilience in the Digital Age, edited by Fred S. Roberts and Igor A. Sheremet and published in the Springer LNCS series. The authors of the chapters are associated with the Task Group “Advanced mathematical tools for data-driven applied systems analysis” created and sponsored by <a href="https://codata.org/" style="box-sizing:border-box;margin:0px;padding:0px;border:0px;outline:0px;vertical-align:baseline;background:transparent;color:rgb(46,163,242);text-decoration-line:none">CODATA</a> in November, 2018.</p><p style="box-sizing:border-box;margin:0px;padding:0px 0px 1em;border:0px;outline:0px;font-size:14px;vertical-align:baseline;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;color:rgb(102,102,102);font-family:"Open Sans",Arial,sans-serif">The growth of a global digital economy has enabled rapid communication, instantaneous movement of funds, and availability of vast amounts of information. With this come challenges such as the vulnerability of digitalized sociotechnological systems (STSs) to destructive events (earthquakes, disease events, terrorist attacks). Similar issues arise for disruptions to complex linked natural and social systems (from changing climates, evolving urban environments, etc.). This book explores new approaches to the resilience of sociotechnological and natural-social systems in a digital world of big data, extraordinary computing capacity, and rapidly developing methods of Artificial Intelligence.</p><p style="box-sizing:border-box;margin:0px;padding:0px 0px 1em;border:0px;outline:0px;font-size:14px;vertical-align:baseline;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;color:rgb(102,102,102);font-family:"Open Sans",Arial,sans-serif">The world-wide COVID-19 pandemic illustrates the vulnerability of our healthcare systems, supply chains, and social infrastructure, and confronts our notions of what makes a system resilient. We have found that use of AI tools can lead to problems when unexpected events occur. On the other hand, the vast amounts of data available from sensors, satellite images, social media, etc. can also be used to make modern systems more resilient.</p><p style="box-sizing:border-box;margin:0px;padding:0px 0px 1em;border:0px;outline:0px;font-size:14px;vertical-align:baseline;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;color:rgb(102,102,102);font-family:"Open Sans",Arial,sans-serif">Most of the book’s papers were presented at the Workshop on Big Data and Systems Analysis held at the International Institute for Applied Systems Analysis in Laxenburg, Austria in February, 2020. Papers in the book explore disruptions of complex networks and algorithms that minimize departure from a previous state after a disruption; introduce a multigrammatical framework for the technological and resource bases of today’s large-scale industrial systems and the transformations resulting from disruptive events; and explain how robotics can enhance pre-emptive measures or post-disaster responses to increase resiliency. Other papers explore current directions in data processing and handling and principles of FAIRness in data; how the availability of large amounts of data can aid in the development of resilient STSs and challenges to overcome in doing so. The book also addresses interactions between humans and built environments, focusing on how AI can inform today’s smart and connected buildings and make them resilient, and how AI tools can increase resilience to misinformation and its dissemination.</p><p style="box-sizing:border-box;margin:0px;padding:0px;border:0px;outline:0px;font-size:14px;vertical-align:baseline;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;color:rgb(102,102,102);font-family:"Open Sans",Arial,sans-serif">An electronic copy is available from: <a href="https://link.springer.com/book/10.1007/978-3-030-70370-7" style="box-sizing:border-box;margin:0px;padding:0px;border:0px;outline:0px;vertical-align:baseline;background:transparent;color:rgb(46,163,242);text-decoration-line:none">https://link.springer.com/book/10.1007/978-3-030-70370-7</a></p><p style="box-sizing:border-box;margin:0px;padding:0px;border:0px;outline:0px;font-size:14px;vertical-align:baseline;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;color:rgb(102,102,102);font-family:"Open Sans",Arial,sans-serif"><br></p><p style="box-sizing:border-box;margin:0px;padding:0px;border:0px;outline:0px;font-size:14px;vertical-align:baseline;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;color:rgb(102,102,102);font-family:"Open Sans",Arial,sans-serif">Thanks,</p><p style="box-sizing:border-box;margin:0px;padding:0px;border:0px;outline:0px;font-size:14px;vertical-align:baseline;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;color:rgb(102,102,102);font-family:"Open Sans",Arial,sans-serif">Asha</p>--<div style="color:rgb(0,0,0)">___________________________<br></div><div style="color:rgb(0,0,0)"><div><br></div><div><b><a href="https://codata.org/events/conferences/international-data-week-2021/call-for-sessions-scidatacon-2021/" target="_blank">Call for Sessions, SciDataCon</a> part of <a href="https://internationaldataweek.org/" target="_blank">International Data Week</a>: </b><a href="https://www.scidatacon.org/IDW2021/" target="_blank">deadline 31 March 2021</a></div><div><br></div><div><b>What is International Data Week?</b> <a href="https://codata.org/register-now-webinar-on-introducing-the-international-data-week-2021/" target="_blank">Find out in this webinar at 13:00 UTC on 4 March.</a></div><div><br></div><div><b>Open Science for a Global Transformation:</b> <a href="https://codata.org/open-science-for-a-global-transformation-call-for-papers-for-a-special-collection-in-data-science-journal/" target="_blank">Call for Papers for a Special Collection in Data Science Journal in relation to the UNESCO Recommendation on Open Science</a></div><div><br></div><div><b>Data for Resilient Cities Podcast Series: </b><a href="https://codata.org/initiatives/strategic-programme/codata-connect/cag-cept-and-codata-podcast-series-on-data-for-resilient-cities/" target="_blank">CAG-CEPT and CODATA Podcast Series</a> | <a href="https://crdf.org.in/podcast/data-for-resilient-cities" target="_blank">Subscribe</a> | <a href="https://soundcloud.com/dataforresilientcities" target="_blank">SoundCloud</a></div><div><br></div><a href="https://codata.org/january-2021-publications-in-the-data-science-journal/" target="_blank"><b>January 2021 publications</b></a> in the <a href="https://datascience.codata.org/" target="_blank">CODATA Data Science Journal</a></div><div style="color:rgb(0,0,0)"><div><br></div><div><b>Stay in touch with CODATA:</b></div><div></div><div><br></div><div>Stay up to date with CODATA activities: <a href="http://lists.codata.org/mailman/listinfo/codata-international_lists.codata.org" target="_blank">join the CODATA International News list</a></div><div><br></div><div>Looking for training and career opportunities in data science and data stewardship?  <a href="http://lists.codata.org/mailman/listinfo/data_science_training_lists.codata.org" target="_blank">Sign up to the CODATA early career community-run data science training and careers list</a></div><div><br></div></div><div><span style="color:rgb(0,0,0)">Follow us on social media! </span><a href="https://twitter.com/CODATANews" target="_blank">Twitter</a><span style="color:rgb(0,0,0)"> - </span><a href="https://www.facebook.com/codata.org/" target="_blank">Facebook</a><span style="color:rgb(0,0,0)"> - </span><a href="https://www.linkedin.com/in/simon-hodson-b3711a11/" target="_blank">LinkedIn</a><span style="color:rgb(0,0,0)"> - </span><a href="https://www.instagram.com/codatainternational/" target="_blank">Instagram</a>  <br><div dir="ltr" class="gmail_signature" data-smartmail="gmail_signature"><div dir="ltr"><div><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr" style="font-size:small"><div style="font-size:12.8px"><div style="color:rgb(0,0,0)">___________________________<br></div></div></div><div dir="ltr" style="font-size:small"><br></div><div dir="ltr" style="font-size:small">Asha Law | Program Assistant, CODATA | <a href="http://www.codata.org/" style="color:rgb(17,85,204)" target="_blank">http://www.codata.org</a></div><div dir="ltr" style="font-size:small"><br></div><div dir="ltr" style="font-size:small">E-Mail: <a href="mailto:asha@codata.org" style="color:rgb(17,85,204)" target="_blank">asha@codata.org</a><br></div><div dir="ltr" style="font-size:small">Tel (Office): +33 1 45 25 04 96</div><div dir="ltr" style="font-size:small"><br></div><div dir="ltr" style="font-size:small">CODATA (Committee on Data of the International Council for Science), 5 rue Auguste Vacquerie, 75016 Paris, FRANCE</div></div></div></div></div></div></div></div></div></div></div></div></div>