January 2022 - Air-L - lists.aoir.org

Open seminar on Disruptive Pedagogies
by Harry Dyer (EDU - Staff) 12 Jan '22

12 Jan '22

Dear all, The Cultural Studies in Education research group at the University of East Anglia will be hosting a free online seminar on Monday 24th January 2022, at 12:00 PM (GMT). The session will be led by Dr Kay Sidebottom from the Carnegie School of Education, Leeds Beckett University, and will be titled Disruptive Pedagogies: Radical Education for Posthuman Times. A short abstract for the session is provided below: As educators face the ongoing and increasing challenges of widening inequalities, environmental degradation, technological innovation and zoonotic pandemics, it is timely to re-evaluate the role of pedagogy in accelerating our capacity to both adapt and forge a new way forward. The posthuman and new materialist turn in education offers exciting potential for a shift from learning-as-cognition to a focus on connections between humans and non- human others; it presents an opportunity for the re-emergence of the embodied subject; and provides space to celebrate difference for itself, beyond the limiting discourse of diversity and inclusion. Despite the emergence of posthuman thinking in educational philosophy however, there are few practical examples of how these ideas can be enacted in initial teacher training or classroom situations. This seminar aims to share practical examples of how educators of all kinds can re-imagine learning in precarious times. Please join us at https://zoom.us/j/98805719139 on Monday 24th January 2022, at 12:00 PM (GMT). Best wishes, Cultural Studies in Education research group, UEA

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Reminder: CCDS Presents a talk with Megan Squire, Friday, Janurary28th, 2022
by Jeff Hemsley 12 Jan '22

12 Jan '22

Just a reminder to please register if you are interested, and feel free to forward to people who might be interested... The Center for Computational and Data Sciences presents Virtual Research Talk with Dr. Megan Squire, Friday January 28th, 12 PM, titled, "Mean people with bad ideas: Using data science to understand online hate". This talk is free and open to the public. Please do use the link below to register for the event. https://forms.gle/xBEXoRYMKWUDKPpK7 Mean people with bad ideas: Using data science to understand online hate Data science is a systematic process for applying techniques from statistics, data mining, and machine learning to solve complex problems. In this talk, Dr. Megan Squire will explain how she uses data science to understand complex socio-technical phenomena such as extremist group membership and the spread of dangerous propaganda. Dr. Squire's work understanding online radicalization and measuring extremism on social media has been featured in numerous media publications including the BBC, NPR, The New York Times, and CNN. Dr. Megan Squire is a professor of Computer Science at Elon University (North Carolina, USA). Her main research area is applying data science techniques to understand niche and extremist online communities, particularly radical right-wing groups on social media. Dr. Squire is the author of two books on data cleaning and data mining, and over 40 peer-reviewed articles and book chapters, including several Best Paper awards. In 2017, she was named the Elon University Distinguished Scholar. She currently serves as a Senior Fellow for data analytics at the Southern Poverty Law Center, and as a Belfer Fellow for the ADL. Jeff Hemsley Associate Professor Director of the Center for Computational and Data Sciences School of Information Studies Syracuse University Journal of Information Technology and Politics Associate Editor Author of 'Going Viral', Polity Press, 2013

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One-day symposium: 'Making Sense of the High-Speed Society, ' 14.01.22
by Scott Wark 12 Jan '22

12 Jan '22

On Friday January 14th, the Pause for Thought project will be hosting a one-day symposium <https://pauseforthought.net/symposium/schedule/> on the theme 'Making Sense of the High Speed Society.' The symposium will be held on Zoom and will include keynote preentations by David Berry and Rebecca Coleman. The full day's schedule is pasted below - if you are interested in attending, please register your interest with Tom Sutherland (TSutherland(a)lincoln.ac.uk) and Scott Wark (S.Wark(a)warwick.ac.uk) to receive a link and password. // The world seems to change so rapidly, it often feels hard to keep up. Concerns regarding the hurried pace and constant upheaval of everyday life are not at all new, but anxieties surrounding these issues seem to be growing increasingly acute, especially during the COVID-19 pandemic (witness, for instance, the focus on problems of ‘burnout’). Continual upheaval, one of the characteristic features of modernity from the Industrial Revolution onward, has intensified to the point where our societies are unable to adjust. This inability to keep up manifests most strikingly in the realm of technology: the platforms, devices, apps, and other media forms that leave a mark on our everyday lives emerge and then obsolesce with dizzying rapidity. We have all likely devised and shared tactics for adapting to and managing the pressures that the high-speed society places upon us – ways of dealing with the fact that we cannot, and perhaps should not, keep up with the pace of change. That is, ‘media literacy’ – the question of how we learn to navigate the fluctuations of our hyper-mediated world and how we share that skill and knowledge with others – is not an issue that can or should be confined merely to the institutional setting of the university. It does not occur solely within the classroom. In a world saturated by media technologies, all of us must learn – have learned – to live with media’s accelerating pace of change. Or: to ‘make sense’ of media technology even as it threatens to leave us behind. *9.00am Keynote one:* David M. Berry (Professor of Digital Humanities – University of Sussex): ‘Personal Computation’ 10.00–10.15am [morning break] *10.15am Panel one *(chair: Scott Wark): Tina Kendall (Anglia Ruskin University): ‘Staying Connected to Stay Safe: Boredom and Social Media Literacy in a High-Speed Society’ Yanning Huang (Xi’an Jiaotong-Liverpool University): ‘From “996”, “Involution” to “The Philosophy of Lying Flat”: The Classed Practice of Talking About (and Dealing With) Overwork in High-Speed China’ Henrik Bødker and Philip Pond (Aarhus University and University of Melbourne): ‘Events, Acceleration and Attention Politics’ Ben Potter (University of Sussex): ‘Hegemony of the Fad: Ephemerality, Reproduction and the Losing Time for Thought on TikTok’ 11.45am–12.45pm [lunch break] *12.45pm Panel two *(chair: Tom Sutherland): Leah Junck (University of Cape Town): ‘The Times of Tinder: Perceptions of Intimacy in a Fast-Paced Dating Environment’ Emir Kurmuş (Boğaziçi University): ‘Insights for the Complex Interaction Between Acceleration and Deceleration Through the Analysis of White-Collar Employees’ Sleep Patterns and Time Pressure in Istanbul’ Lorenzo Olivieri (University of Bologna): ‘Temporalities of Non-Knowledge Production: Acceleration and Repetition in the Italian Asylum System’ Andreas Schellewald (Goldsmiths, University of London): ‘Understanding the Practice of “Mindless” Scrolling on TikTok in the Context of Pandemic Life and Social Acceleration’ 2.15–2.30pm [afternoon break] *2.30pm Panel three *(chair: Zara Dinnen): Krista Lepik (University of Tartu): ‘Temporal Tension Fields in Museums and Libraries’ Manuela Arruda Galindo and Paula Sibilia (Fluminense Federal University): ‘Running to Miss Nothing: Anxious Temporality and the Frustration of the (Un)limited’ Sandy Di Yu (University of Sussex): ‘The Enclosure of Free Time in the Digital Society: How the Advent of Platform Capitalism Parallels the Process of Primitive Accumulation in the Transition to Post-Feudal Capitalistic Europe’ Victoria Stanton and Stacey Cann (Concordia University): ‘Pedagogy and Time’ *3.45pm Keynote two: * Rebecca Coleman (Reader – Goldsmiths, University of London): ‘Infrastructures of Feeling: The Digital Mediation of the Present’

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Call for presentations/Appel à communications - ACFAS 2022
by Myles, David 12 Jan '22

12 Jan '22

Dear AoIR colleagues, chers•chères collègues de l’AoIR, *** English version follows*** Vous trouverez joint à ce courriel un appel à communications pour le colloque Les enjeux du numérique pour les communautés LGBTQ+ organisé dans le cadre du 89e congrès de l’Association francophone pour le savoir (ACFAS). L’ACFAS est une association savante qui fait la promotion de la recherche francophone au Canada. Pour plus d’informations sur l’ACFAS et son congrès annuel : https://www.acfas.ca/evenements/congres/ Ce colloque aura lieu à l’Université Laval (ville de Québec) le 12 mai 2022. Comme il se tiendra en format hybride (en ligne et en présentiel), nous encourageons aussi les propositions venant de l’extérieur du Québec. La date limite pour la soumission des propositions est le 7 février 2022. Les questions concernant le colloque peuvent être envoyées à David Myles (david.myles(a)mail.mcgill.ca<mailto:david.myles@mail.mcgill.ca>) ou Christopher Dietzel (christopher.dietzel(a)dal.ca<mailto:christopher.dietzel@dal.ca>). *** English version*** Please find attached a call for presentations for the colloquium Les enjeux du numérique pour les communautés LGBTQ+. This colloquium is organized as part of the 89th Congress of the Association francophone pour le savoir (ACFAS). ACFAS is a scholarly association that aims to advance and promote French research in Canada. For more information about ACFAS and its annual congress: https://www.acfas.ca/evenements/congres/ This colloquium will take place at Laval University (Québec City) on May 12, 2022. Since it will be hybrid (online and in person), we also encourage applications from outside Québec. The submission deadline for proposals is February 7, 2022. Any questions about the colloquium can be directed to David Myles (david.myles(a)mail.mcgill.ca<mailto:david.myles@mail.mcgill.ca>) or Christopher Dietzel (christopher.dietzel(a)dal.ca<mailto:christopher.dietzel@dal.ca>). Sincerely/Cordialement, David Myles, PhD Christopher Dietzel, PhD

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"Affordance" video
by Jenny Davis 12 Jan '22

12 Jan '22

Hi Everyone, If you're teaching about the concept of "affordances" this semester, I've got a short 5-minute explainer video that you may find useful https://www.youtube.com/watch?v=5QN8WokJQ_Q. This is a supplement to my book on the topic. The video is on YouTube (linked above) and also on the MIT Press website, alongside the Open Access Introduction chapter under Reader Resources https://mitpress.mit.edu/books/how-artifacts-afford [https://i.ytimg.com/vi/5QN8WokJQ_Q/maxresdefault.jpg]<https://www.youtube.com/watch?v=5QN8WokJQ_Q> Affordances: How We Shape Technologies and Technologies Shape Us - YouTube<https://www.youtube.com/watch?v=5QN8WokJQ_Q> This video explains what "affordances" are, how the concept has evolved, and describes an operational a model called the “mechanisms and conditions framework... www.youtube.com Best, Jenny Jenny L. Davis School of Sociology The Australian National University New Article(s): Davis, Jenny L., Apryl Williams and Michael Yang. 2021. Algorithmic Reparation<https://journals.sagepub.com/doi/full/10.1177/20539517211044808> Big Data & Society Book: How Artifacts Afford: The Power and Politics of Everyday Things (MIT Press 2020)<https://mitpress.mit.edu/books/how-artifacts-afford> Website: jennyldavis.com<https://www.jennyldavis.com/> Twitter: @Jenny_L_Davis<https://twitter.com/Jenny_L_Davis>

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Podcast on ritual
by Matthew Moore 12 Jan '22

12 Jan '22

https://infoinnouts.podbean.com/e/ritual/ What is a ritual and how can it make our working lives better? John Dobbin is a senior Agile Transformation consultant who works in large finance and telecommunications companies in APAC, Europe, and the Middle East. He has a background in organisational development, computer science, and mathematics. His current focus is de-mathematising key concepts from complexity science and importing them to management theory: exploring ways to make organisations endogenously adaptive to VUCA environments UTS CRICOS Provider Code: 00099F DISCLAIMER: This email message and any accompanying attachments may contain confidential information. If you are not the intended recipient, do not read, use, disseminate, distribute or copy this message or attachments. If you have received this message in error, please notify the sender immediately and delete this message. Any views expressed in this message are those of the individual sender, except where the sender expressly, and with authority, states them to be the views of the University of Technology Sydney. Before opening any attachments, please check them for viruses and defects. Think. Green. Do. Please consider the environment before printing this email.

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WEBCAST TODAY: A11yNYC – Broke with Accessible Taste: Understanding the Economics of Digital Access in US
by Joly MacFie 11 Jan '22

11 Jan '22

First A11yNYC meetup of 2022! Notice that the stream now comes courtesy of 'Internet Society New York Accessibility SIG'. You can read more about that here <https://www.a11ysig.org/back-to-roots/>. [image: livestream] <https://livestream.com/internetsociety/a11yeconomics> On *Tuesday January 11 2022* at *7pm-8pm EST* (00:00-01:00 UTC Jan12) the *Accessibility NYC Meetup <https://www.meetup.com/A11yNYC/>* (A11yNYC) hosts an online meetup ‘*Broke with Accessible Taste: Understanding the Economics of Digital Access in US <https://www.meetup.com/A11yNYC/events/282246008/>*‘. Conversations about digital accessibility are predominantly centered on the technical and monetary expenses of implementation in products and applications. Missing from these conversations are socioeconomic factors faced by people with disabilities that can be significant blockers to digital access more than any design or technical inaccessibility. *Crystal Preston Watson <https://crystalprestonwatson.com/>* will dive into learning about the economic realities of disability in America and the repercussions of overlooking those realities in digital access. The meetup will be webcast live via a partnership with the *Internet Society New York Accessibility SIG <https://a11ysig.org/>* *LIVESTREAM: **https://livestream.com/internetsociety/a11yeconomics* <https://livestream.com/internetsociety/a11yeconomics> (Open Captions) *PARTICIPATE VIA ZOOM: https://www.meetup.com/A11yNYC/events/282246008/ <https://www.meetup.com/A11yNYC/events/282246008/>* (CC) *REAL TIME TEXT: https://www.streamtext.net/player?event=a11ynyc <https://www.streamtext.net/player?event=a11ynyc>* *TWITTER: #a11yeconomics @ScopicEngineer @A11ysig @a11ynyc #Accessibility #a11y #Captioned* *SIMULCASTS* *https://youtu.be/NBJ2vvt2cyg <https://youtu.be/NBJ2vvt2cyg> *(Comments monitored) *https://www.twitter.com/ISOC_Live/ <https://www.twitter.com/ISOC_Live/> *(Open Captions) *https://www.twitch.tv/isoclive <https://www.twitch.tv/isoclive> *(Open Captions) *https://www.facebook.com/isocny/live <https://www.facebook.com/isocny/live> *(Open Captions) *https://www.facebook.com/liveisoc <https://www.facebook.com/liveisoc>* (Open Captions) *ARCHIVE* *https://archive.org/details/a11yeconomics <https://archive.org/details/a11yeconomics>* *Permalink* https://isoc.live/14978/ - -- -------------------------------------- Joly MacFie +12185659365 -------------------------------------- -

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Postdoc opportunities at Stanford DCSL - Jan 31
by Toussaint Nothias 11 Jan '22

11 Jan '22

Dear AoIRists, We are accepting applications for our post-doctoral fellowship in the Digital Civil Society Lab<https://pacscenter.stanford.edu/research/digital-civil-society-lab/> at Stanford University. Applications are due on January 31, 2022. We welcome a wide range of disciplinary approaches and research interests. Some of the key research themes we are currently investigating include: * The key dimensions of digital infrastructures and data and how they influence the role of civil society around the world.  * The challenges and opportunities for assembly and association in a world of pervasive data-collection. * The possibilities for decolonizing technology and developing alternative political economies around digital connectivity. * The nature of digital data donations and/or the governance mechanisms, enterprise forms, or legal constructs that such donations require. More information about our Lab, the fellowship and the application process are available here: https://pacscenter.stanford.edu/research/digital-civil-society-lab/dcsl-pos… Applications can be submitted here: https://stanfordpacs.slideroom.com/#/login/program/64439 Please share this opportunity widely. Inquires may be directed to Rebecca Lapeña, Program Manager at DCSL (rlapena(a)stanford.edu<mailto:rlapena@stanford.edu>). ---- Toussaint Nothias Associate Director of Research, Digital Civil Society Lab.<https://pacscenter.stanford.edu/research/digital-civil-society-lab/> Research Scholar, Stanford Center on Philanthropy and Civil Society (PACS)<https://pacscenter.stanford.edu/>. Stanford University www.toussaintnothias.com<http://www.toussaintnothias.com>

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IJOC-CfP: Artificial Intelligence and New Media in Challenges
by Seungahn Nah 11 Jan '22

11 Jan '22

*Call for Papers* *Artificial Intelligence and New Media in Challenges: Algorithmic Bias and Ethical Issues* Artificial Intelligence (AI) technologies and applications have rapidly penetrated into all aspects of social, political, civic, and cultural life. Despite the exponential growth in and development of AI, algorithmic bias toward gender, age, sexuality, race/ethnicity, and ideology prevails across digital media platforms, ranging from search engines through news sites to social media. This omnipresence of algorithmic bias results in social issues, such as systematic and repeated unfairness, discrimination, and inequality, privileging certain groups over others, violating privacy, and reinforcing social and cultural biases. However, scholarship still remains unexplored in light of the causes, components, and consequences of algorithmic bias and ethical issues. Recent successes in AI are based on "black-box" machine learning models trained with a tremendous amount of data, which makes it extremely difficult to understand or interpret their underlying mechanisms despite their remarkable predictive power. Therefore, this special section calls for papers which can address these structured, longstanding issues toward individuals, groups, communities, and countries across the socio-economic and ideological spectrums. The special section is particularly interested in studies empirically demonstrating the aforementioned issues and providing solutions for a better design, development, application, and implication of AI and digital media. Thus, the following research questions are central to this special section. What are the causes of algorithmic bias and how do these relate to ethical, policy, and legal issues like privacy? What are the components of biased algorithms? To what extent does algorithmic bias produce and reproduce social and cultural biases and vice versa? How can we understand, predict, and trust the behaviors of AI systems? What are the intended or unintended consequences of a biased and discriminatory algorithm? What are the best practices in data collection and model development of AI applications? How do we detect, understand, and mitigate algorithmic bias and the connected ethical, policy, and legal issues so that scholars and developers, alike, use best practices? In doing so, the special section emphasizes an inextricably interwoven relationship among data and media bias, model bias, and social bias. That is, data and media bias leads to unbalanced training resulting in model bias. Model bias, in turn, reinforces data and media bias and produces discriminatory impacts on humans and society. Human and societal bias then produces skewed representation and participation in data and media bias. This “vicious circle” reinforces bias toward AI system and its development, use, application, and practice. Given algorithmic bias toward individuals, groups, and communities across digital media platforms and ethical issues, this special section examines, but is not limited to, the following issues: • Algorithmic bias, discrimination, and inequality toward underrepresented groups and communities • Interaction and amplification of bias between AI and media • Perceived (un)fairness of algorithm-mediated communication, system, design, and applications • (Dis)trust in algorithm news curation, recommendation, and algorithmic gatekeeping • Algorithm bias in news, filter bubbles or echo chambers, opinion polarization, and gaps in knowledge and participation • (Dis)trust in algorithm development, management, and governance • (Dis)trust in practical applications of and data-driven decision-making in AI systems • Impacts of algorithmic bias on cognitive, affectional, attitudinal, perceptual, and behavioral bias in various social, political, civic, and cultural contexts • Impacts of automated surveillance technologies (e.g. face recognition) on privacy • Explainable AI for enhancing public trust • Algorithmic and non-algorithmic solutions to assess and mitigate AI biases and risks We are open to diverse methodological approaches such as quantitative, qualitative, and computational methods. Interested authors should submit an abstract with 1,000 words maximum, alongside a title page containing a brief author bio and contact information. Below presents a detailed timeline. *Proposed Timeline:* • Abstract submission due by March 1, 2022 • Decision for full manuscripts due by May 1, 2022 • Full manuscript submission due by September 1, 2022 • Decision for publication due by December 1, 2022 • Final manuscript submission by January 1, 2023 • Anticipated publication by March 1, 2023 The final paper should be in accordance with the Journal’s Guide for Authors. https://ijoc.org/index.php/ijoc/about/submissions#authorGuidelines Special section inquiries can be directed to the guest editors, Dr. Seungahn Nah at snah(a)uoregon.edu and Dr. Jungseock Joo at jjoo(a)comm.ucla.edu . *Guest Editors: * Dr. Seungahn Nah, University of Oregon, snah(a)uoregon.edu Dr. Jungseock Joo, University of California-Los Angeles, jjoo(a)comm.ucla.edu <seungahn.nah(a)uky.edu>

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CfP: Unobtrusive Observations of Learning in Digital Environments (chapter proposals due 15 Feb 2022)
by Vitomir Kovanovic 11 Jan '22

11 Jan '22

Dear Colleagues, We would like to invite you to submit your proposal for an edited volume on "Unobtrusive Observations of Learning in Digital Environments", to be published by Springer, Cham. If you are interested in contributing to the book project, we invite you to submit a short chapter proposal (see details below) no later than 15 February 2022 using the online submission form: https://bit.ly/3ecOFJw All submissions will undergo a rigorous double-blind peer review who will recommend full submissions from among the proposals. Accepted chapters shall not exceed 8,000 words, including references, figures, and tables. Specific guidelines will be made available after 15 March 2022. You may also share this CfP with your colleagues. Kind regards Vitomir Kovanovic, Roger Azevedo, David Gibson and Dirk Ifenthaler Unobtrusive Observations of Learning in Digital Environments Introduction This book seeks to integrate foundational ideas from psychology, immersive digital learning environments and game-based learning supported by theories and methods of the learning sciences, particularly in pursuit of questions of cognition, behaviour and emotion factors in digital learning experiences. New and emerging foundations of theory and analysis based on observation of digital traces are enhanced by data science, particularly machine learning, with extensions to deep learning, natural language processing and artificial intelligence brought into service to better understand higher-order thinking capacities such as self-regulation, collaborative problem-solving and social construction of knowledge. As a result, the edited volume will present a collection of indicators or measurements focusing on learning processes and related behaviour, (meta-)cognition, emotion and motivation, as well as social processes. In addition, each section of the book will include an invited commentary from a related field, such as educational psychology, cognitive science, and learning science. The following presents a tentative table of contents including sections and possible key areas of the included contributions: The section on indicators focusing on behaviour - Modelling student behavioural engagement - Measuring engagement with multimodal data - Commentary from Learning Design or Learning Science The section on indicators focusing on cognition and metacognition - Measuring learning from text - Learning strategies - Metacognitive prompts and personalized scaffolding - Commentary from Psychometrician or Cognitive Science The section on indicators focusing on emotion and motivation - Affect detection methods and techniques - Emotions and ITS - Emotion regulation in collaborative learning - Measuring motivation from hypertext - Commentary from Educational Psychology The section on indicators focusing on social processes - Modelling dynamics of social processes - Linguistic analysis of student collaboration - Group cohesion - Commentary from Computational Social Science This edited volume is part of the Advances in Analytics for Learning and Teaching book series (https://www.springer.com/series/16338) and will focus on indicators or measurements focusing on learning processes and related behaviour, (meta-)cognition, emotion and motivation, as well as social processes. Instructions for authors If you are interested in contributing to the book project, please submit a short chapter proposal no later than 15 February 2022 as a single PDF document using the submission form: https://bit.ly/3ecOFJw The chapter proposal should include: - Chapter title, - The list of all authors and their affiliations, - 300-word abstract describing the content of the chapter - Five keywords, - Three key references, - A short description of how the chapter fits the theme of the book. All submissions will undergo a rigorous double-blind peer review who will recommend full submissions from among the proposals. Accepted chapters shall not exceed 8,000 words and shall be completed no later than 15 July 2022. Specific guidelines will be made available after 15 March 2022. You may refer to the information below or visit the website: https://bit.ly/3yOaNna Submission Timeline - 15 February 2022: Short chapter proposals due (with 300-word abstract) - 15 March 2022: Notification and additional information for accepted authors - 15 July 2022: Draft chapters of max 8,000 words due - 01 September 2022: Chapters returned with reviewers' comments - 01 October 2022: Final chapters due Volume editors - Vitomir Kovanovic, University of South Australia, Australia, - Roger Azevedo, University of Central Florida, USA - David Gibson, Curtin University, Australia - Dirk Ifenthaler, University of Mannheim, Germany and Curtin University, Australia Inquires Please use the following link for your inquiries and submissions: https://bit.ly/3ecOFJw

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