December 2018 - Air-L - lists.aoir.org

The 27th ACM Conference on User Modeling, Adaptation and Personalization (UMAP 2019): Third Call for Papers
by Announce Announcements 21 Dec '18

21 Dec '18

*** THIRD CALL FOR PAPERS *** 27th ACM International Conference on User Modeling, Adaptation and Personalization (ACM UMAP 2019) "Making Personalization Transparent: Giving control back to the User" Golden Bay Beach Hotel 5*, Larnaca, Cyprus, June 9-12, 2019 http://www.cs.ucy.ac.cy/~george/lm/lm.php?tk=YWlyLUwJCQlhaXItTEBsaXN0c2Vydi… Abstracts due: January 25, 2019 (mandatory) Papers due: February 1, 2019 BACKGROUND AND SCOPE ACM UMAP, "User Modeling, Adaptation and Personalization", is the premier international conference for researchers and practitioners working on systems that adapt to individual users, to groups of users, and that collect, represent, and model user information. ACM UMAP is sponsored by ACM SIGCHI and SIGWEB. The proceedings are published by ACM and will be part of the ACM Digital Library. ACM UMAP covers a wide variety of research areas where personalization and adaptation may be applied. This include (but is in no way limited to) a number of domains in which researchers are engendering significant innovations based on advances in user modeling and adaptation, recommender systems, adaptive educational systems, intelligent user interfaces, e-commerce, advertising, digital humanities, social networks, personalized health, entertainment, and many more. This year the conference hosts three new tracks, one on privacy and fairness, one on personalized music access, and one on personalized health. CONFIRMED INVITED SPEAKERS · Marios Avraamides, University of Cyprus · Judith Masthoff, Utrecht University · Mounia Lalmas-Roelleke, Spotify London CONFERENCE TRACKS Track 1 - Personalized Recommender Systems Chairs: Marko Tkalcic, Free University of Bozen-Bolzano, marko.tkalcic(a)unibz.it Alan Said, University of Skövde, alansaid(a)acm.org Personalized, computer-generated recommendations have become a pervasive feature of today's online world. The underlying recommender systems are designed to help users and providers in a number of ways. >From a user's viewpoint, for example, these systems assist consumers in finding relevant things within large item collections. On the other hand, from a provider's perspective, recommenders have also shown to be valuable tools to steer consumer behavior. From a technical perspective, the design of such systems requires the careful consideration of various aspects, including the choice of the user modeling approach, the underlying recommendation algorithm, and the user interface. This track aims to provide a forum for researchers and practitioners to discuss open challenges, latest solutions and novel research approaches in the field of recommender systems. Besides the above-mentioned technical aspects, works are also particularly welcome that address questions related to the user perception and the business value of recommender systems. Topics include (but are not limited to): · Recommendation algorithms · Recommender and personalization system evaluation · User modeling and preference elicitation · Users' perception of recommender systems · Business value of recommendation systems and multi-stakeholder environments · Explanations and trust · Context-aware recommendation algorithms · Recommending to groups of users · Case studies of real-world implementations · Novel, Psychology-informed User- and Item-modeling Track 2 - Adaptive Hypermedia And The Semantic Web Chairs: Liliana Ardissono, University of Torino, liliana.ardissono(a)unito.it Katrien Verbert, KU Leuven, katrien.verbert(a)cs.kuleuven.be Adaptive hypermedia and adaptive web explore alternatives to the traditional "one-size-fits-all" approach in the development of web and hypermedia systems. Adaptive hypermedia and adaptive web systems build a model of the interests, preferences and knowledge of each individual user, and use this model in order to adapt the behavior of hypermedia and web systems to the needs of that user. Semantic web frequently serves as an infrastructure to enable adaptive and personalized Web systems. Semantic web technology targets the use of explicit semantics and metadata to help web systems perform the desired functionality: this implies the use of linked data from the web, the use of ontologies in models, or the use of metadata in user interfaces, as well as the use of ontologies for information integration. This track aims to provide a forum to researchers to discuss open research problems, solid solutions, latest challenges, novel applications and innovative research approaches in adaptive hypermedia and semantic web. Topics include (but are not limited to): · Web user profiles · Adaptive navigation support · Personalized search · Web content adaptation · Analytics of web user data · Adaptive web sites and portals · Adaptive books and textbooks · Social navigation and social search · Navigation support in continuous media and virtual environments · Usability engineering for adaptive hypermedia and web systems · Novel methodologies for evaluating adaptive hypermedia and web systems · Semantic Web technologies for web personalization · Ontology-based data access and integration/exchange on the adaptive web · Ontology engineering and ontology patterns for the adaptive web · Ontology-based user models · Semantic social network mining, analysis, representation, and management · Crowdsourcing semantics; methods, dynamics, and challenges · Semantic Web and Linked Data for adaptation Track 3 - Intelligent User Interfaces Chairs: Li Chen, Hong Kong Baptist University, lichen(a)comp.hkbu.edu.hk Jingtao Wang, Google, jingtaow(a)acm.org Intelligent User Interfaces aim to improve the interaction between computer systems and human users by means of Artificial Intelligence. The systems support and complement different types of abilities that are normally unavailable in the context of human-only cognition. Previous work has found that humans do not always make the best possible decisions when working together with computer systems. By designing and deploying improved forms of support for interactive collaboration between human decision makers and systems, we can enable decision making processes that better leverage the strengths of both collaborators. More generally this research track can be characterized by exploring how to make the interaction between computers and people smarter and more productive, which may leverage solutions from human-computer interaction, data mining, natural language processing, information visualization, and knowledge representation and reasoning. Topics include (but are not limited to): · Adaptive personal virtual assistants (e.g., interaction with robots) · Adapting natural interaction (e.g., natural language, speech, gesture) · Intelligent user interfaces based on sensor data (UIs for cars, fridges, etc.) · Multi-modal interfaces (speech, gestures, eye gaze, face, physiological info, etc.) · Intelligent wearable and mobile interfaces · Smart environments and tangible computing · Transparency and control of decision support systems (e.g., semi-autonomous systems) · Explainable intelligent user interfaces · Affective and aesthetic interfaces · Tailored persuasion and argumentation interfaces · Tailored decision support (e.g., over- and under-reliance in uncertain domains) · Adaptive information visualization · Scalability of intelligent user interfaces to access huge datasets · User-centric studies of interactions with intelligent user interfaces · Novel datasets and use cases for intelligent user interfaces · Evaluations of intelligent user interfaces Track 4 - Personalized Social Web Chairs: Ilaria Torre, University of Genova, ilaria.torre(a)unige.it Osnat Mokryn, omokryn(a)univ.haifa.ac.il The social web is continuously growing and social platforms are a fundamental part of our life. Mediated communication is becoming the primary form of communication for young people, and adults follow in increasing numbers. Online communication is increasingly enriched by the use of memes, pictures, audio and video, though language (textual and oral) remains a fundamental tool with which people interact, convey their opinions, construct and determine their social identity. Lifelogging data (e.g., health, fitness, food) is growing as well on the social web. This type of personal information source, gathered for private use through personal devices, is now often shared in online communities. These trends open new challenges for research: how to harness the power of collective intelligence and quantified self data in online social platforms to identify social identities, how to exploit continuous feedback threads, and how to improve the individual user experience on the social web. We invite original submissions addressing all aspects of personalization, user models building and personal experience in online social systems. Topics include (but are not limited to): · Personalization of the web experience in social systems · Adaptations based on personality, society, and culture · Personalization algorithms and protocols inspired by human societies · Social recommendation · Identifying social identities in social media · Social and crowd-generated data for adaptation · Personalized information retrieval · Exploiting quantified self data on the social web of things · Data-driven approaches for personalization · Modeling individuals, groups, and communities · Collective intelligence and experience mining · Pattern and behaviour discovery in social network analysis · Opinion mining for user modeling · Sentiment analysis · Topic modeling for online conversations and short texts · Privacy, perceived security, and trust in social systems · Ethical issues involved in studying the social web · User awareness and control · Evaluation methodologies for the social web Track 5 - Technology-Enhanced Adaptive Learning Chairs: Jesús G. Boticario, UNED, jgb(a)dia.uned.es Inge Molenaar, Radboud University, i.molenaar(a)pwo.ru.nl At large there is an on-going "fusion" between humans and technological systems. The ongoing integration of devices into our daily lives furthers the integration of technology in human learning. With technology increasingly gaining more data and intelligence, a new era of technology-enhanced adaptive learning is emerging. Consequently, the interactions between learners, teachers and technology are becoming increasingly complex. Learning is a positioned as a complex human process that involves cognitive, metacognitive, motivational, affective and psychomotor aspects which interact with the learning context. Smart technological solutions are increasingly able to identify and model the learner needs on these five aspects and accordingly provide personalized support that can improve the effectiveness, efficiency and satisfaction of learning experiences. Current research in artificial intelligence combined with data science and learning analytics bring new opportunities to recognize, and effectively support individual learners' needs and orchestrate collaborate and classroom learning with intelligent learning solutions, and augment teachers in blended learning situations. The aim of this track is to foreground the systematic complexity of human learning and use systematic analytic approaches to measure, diagnose and support human learning with technologies. This covers not only formal educational settings, but also lifelong learning requirements (including workplace training) as well as the acquisition of skills informal learning settings (e.g., in daily activities, serious games, sports, healthcare, wellbeing, etc.). To address the wide spectrum of modeling issues and challenges that can be raised, contributions from various research areas are welcome. Therefore, this track invites researchers, developers, and practitioners from various disciplines to present their innovative adaptive learning solutions, share acquired experience, and discuss the main modeling challenges for technology enhanced adaptive learning. Topics include (but are not limited to): · Domain, learner, teacher and context modeling · Modeling cognitive, metacognitive, motivational, affective and psychomotor aspects of learning · Diagnosis of learner needs and calibration of support and feedback Adaptive and personalized support for learning · Dealing with ethical issues involved in detecting and modeling a wider range of information sources (e.g., information from novel sensing devices, ambient intelligent features) that may affect learning · Management of large, open, and public datasets for educational data mining · Agent-based learning environments and virtual pedagogical agents · Open corpus personalized learning · Collaborative and group learning · Adaptive technologies to orchestrated classroom Learning · Personalized teachers awareness and support tools · Multimodal learning analytics to personalize learning · UMAP aspects in specific learning solutions: educational recommender systems, intelligent tutoring systems, serious games, personal learning environments, MOOCs · Wearable technologies and augmented reality in adaptive personalized learning · Processing collected data for UMAP: educational data mining, learning analytics, big data, deep learning. · Semantic web and ontologies for e-learning · Interoperability, portability, and scalability issues · Case studies in real-world educational settings · New methodologies to develop user-centered highly personalized learning solutions Track 6 - Privacy And Fairness Chairs: Bart Knijnenburg, Clemson University, bartk(a)clemson.edu Esma Aimeur, University of Montreal, aimeur(a)iro.umontreal.ca Adaptive systems researchers and developers have a social responsibility to care about their users. This involves building, maintaining, evaluating, and studying adaptive systems that are fair, transparent, and protect users' privacy. We invite papers that study, in the context of UMAP, the topics of privacy (as well as innovative means to resolve privacy problems through algorithms, interfaces, or other technical or non-technical means), fairness (covering the spectrum from algorithmic fairness to social implications of adaptive systems), and transparency (as a concept of system usability as well as a means to resolve problems with privacy and fairness). Beyond this we encourage authors to submit to this track any work that ascribes to or advances the general idea of "adaptive systems that care". Privacy topics: · Analysis of privacy implications of user modeling · Privacy compliance · Algorithmic solutions to privacy · Architectural solutions to privacy · Interactive solutions to privacy · Usable privacy for adaptive systems · User perceptions of privacy in UMAP applications · Studies of users' privacy-related behaviors in UMAP applications · Descriptions or evaluations of privacy-settings user interfaces · Privacy prediction / personalization · User-tailored approaches to privacy · Privacy education for user modeling · Modeling of data protection and privacy requirements · Economics of privacy and personal data · Measuring privacy Fairness topics: · Ethical considerations for user modeling · UMAP applications for underrepresented groups · Cultural differences (e.g. culture-aware user modeling) · Bias and discrimination in user modeling · Imbalance in meeting the needs of different groups of users · Balancing needs of users versus system owners · Ethics of explore/exploit strategies or A/B testing · 'Filter bubble' or 'balkanization' effects · Enhancing/embracing diversity in user modeling · Algorithmic methods for increasing fairness · User perceptions of fairness · Measuring fairness Transparency topics: · User perceptions of transparency · Transparent algorithms · Interface innovations that increase transparency · Explanations for transparency · Visualizations for transparency · Adaptive systems for self-actualization · (User-centric) evaluations of methods that increase transparency · Measuring transparency Track 7 - Personalized Music Access Chairs: Markus Schedl, University of Linz, markus.schedl(a)jku.at Nava Tintarev, TU Delft, n.tintarev(a)tudelft.nl Music access systems (e.g., search, retrieval, and recommendation systems) have experienced a boom during the past decade due to the availability of huge music catalogs to users, anywhere and anytime. These systems record information on user behavior in terms of actions on music items, such as play, skip, or playlist creation and modification. As a result, an abundance of user and usage data has been collected and is available to companies and academics, allowing for user profiling and to create and improve personalized music access. This track addresses unsolved challenges in this area relating to user understanding and modeling, personalization in recommendation and retrieval systems, modeling usage context, and adapting interactive intelligent music interfaces. This track aims to provide a forum for researchers and practitioners for the latest research on? user modeling and personalization for finding, making, and interacting with music. Topics include (but are not limited to): · Personalized music preference elicitation and preference learning · Psychological modeling of music listeners (e.g., personality, emotion, etc.) · Subjective perceptions of music (e.g., similarity, mood, tempo) social and cultural aspects of listening behavior (e.g., for group recommenders) · Applications for personalized music consumption and creation · Personalized playlist generation and continuation (e.g., sequences and transitions) · Personalized music interaction and interface paradigms (e.g., visualization, VR) · Explainability, transparency, and fairness in personalized music · Systems user-centric performance measures (e.g., diversity, novelty, serendipity, etc.) · Datasets (including benchmarks) for personalizing music retrieval and recommendation Track 8 - Personalized Health Chairs: Christoph Trattner, University of Bergen, trattner.christoph(a)gmail.com David Elsweiler, University of Regensburg, david(a)elsweiler.co.uk Growing health issues and rising treatment costs mean that technological systems are increasingly important for global health. Personalised systems, tailored to the needs and behaviours of individual patients, are one of the promising approaches to health promotion by encouraging lifestyle change, managing treatment programmes and providing doctors and other healthcare providers with detailed individualized feedback. The challenges to developing such systems, which model user needs and preferences, as well as appropriate medical knowledge to provide assistance and recommendations are plentiful. The diverse technologies which could potentially feature in solutions are equally vast, ranging from AI systems to sensors, from mobile computing, augmented reality and visualization, to mining the web or other data streams to learn about health issues and user behaviour. In this track we invite scholars working in these or related areas to contribute to the discourse on how technology can promote health. This track aims to provide a forum to researchers to discuss open research problems, solid solutions, latest challenges, novel applications and innovative research approaches and in doing so to strengthen the community of researchers working on Personalized Health and attract representatives from from diverse scholarly backgrounds ranging from computer and information science to public health, epidemiology, psychology, medicine, nutrition and fitness. Topics include (but are not limited to): · Algorithms and Recommendation Strategies to increase health · Mobile health · Quantified self · Applied data analytics and modeling for health · Health risk modeling and forecasting · Systems for Preventative Measures · Medical Evaluation Techniques · Domain Knowledge Representation · Behavioral Interventions: Persuasion/Nudging/Behavioral Change · HCI, Interfaces and Visualisations for health · Regulations and Standards · Human/ Expert-in-the-Loop · Gamification and Serious Games · Privacy, Trust, Ethics · Datasets SUBMISSION AND REVIEW PROCESS Papers should be submitted through EasyChair: http://www.cs.ucy.ac.cy/~george/lm/lm.php?tk=YWlyLUwJCQlhaXItTEBsaXN0c2Vydi… The ACM User Modeling, Adaptation, and Personalization (ACM UMAP) 2019 Conference will include high quality peer-reviewed papers related to the above key areas. Maintaining the high quality and impact of the ACM UMAP series, each paper will have three reviews by program committee members and a meta-review presenting the reviewers' consensual view; the review process will be coordinated by the program chairs in collaboration with the corresponding area chairs. Long (8 pages + references) and Short (4 pages + references) papers in ACM style, peer reviewed, original, and principled research papers addressing both the theory and practice of UMAP and papers showcasing innovative use of UMAP and exploring the benefits and challenges of applying UMAP technology in real-life applications and contexts are welcome. Long papers should present original reports of substantive new research techniques, findings, and applications of UMAP. They should place the work within the field and clearly indicate innovative aspects. Research procedures and technical methods should be presented in sufficient detail to ensure scrutiny and reproducibility. Results should be clearly communicated and implications of the contributions/findings for UMAP and beyond should be explicitly discussed. Short papers should present original and highly promising research or applications. Merit will be assessed in terms of originality and importance rather than maturity, extensive technical validation, and user studies. For both long papers and short paper submissions, it is not required to anonymize the manuscripts, i.e., ACM UMAP will apply a single-blind reviewing process. Separation of long and short papers will be strictly enforced so papers will not compete across categories, but only within each category. Papers that receive high scores and are considered promising by reviewers, but didn't make the acceptance cut, will be directed to the poster session of the conference and will be invited to be resubmitted as posters. Papers must be formatted using the ACM SIG Standard (SIGCONF) proceedings template: http://www.cs.ucy.ac.cy/~george/lm/lm.php?tk=YWlyLUwJCQlhaXItTEBsaXN0c2Vydi… . Please note that ACM changed its templates at the start of 2017, so please ensure that you use the new template and do not reuse an old template. All accepted papers will be published by ACM and will be available via the ACM Digital Library. At least one author of each accepted paper must register for the conference and present the paper there. AUTHORS TAKE NOTE: The official publication date is the date the proceedings are made available in the ACM Digital Library. This date may be up to two weeks prior to the first day of your conference. The official publication date affects the deadline for any patent filings related to published work. (For those rare conferences whose proceedings are published in the ACM Digital Library after the conference is over, the official publication date remains the first day of the conference.) IMPORTANT DATES · Abstract: January 25, 2019 (mandatory) · Full paper: February 1, 2019 · Notification: March 11, 2019 · Camera-ready: April 3, 2019 · Adjunct proceedings, camera ready: April 15, 2018 Note: The submissions times are 11:59pm AoE time (Anywhere on Earth). GENERAL CHAIRS · George A. Papadopoulos, University of Cyprus, Cyprus · George Samaras, University of Cyprus, Cyprus · Stephan Weibelzahl, PFH Private University of Applied Sciences, Göttingen, Germany RELATED EVENTS Separate calls will be later sent for Workshops and Tutorials, Doctoral Consortium, Demos, Late Breaking Results and Theory, Opinion and Reflection works, as they have different deadlines and submission requirements.

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email proposal for AIR-L
by hipertext.net 21 Dec '18

21 Dec '18

Dear Colleagues, We would be most grateful if you would disseminate this call for papers from the academic journal “hipertext.net” [ http://raco.cat/index.php/Hipertext] in the distribution list AIR-L. You can see that the call is written in three versions: English, Spanish and Catalan. Please, tell us if we must to do anything. Thank you very much in advance, best wishes, Pere Freixa Director Hipertext.net ********** [Español después][Català a sota] Open Call for papers: Hipertext.net, number 18, May 2019 Open Call for Articles, Reports and PhD Dissertation/Summary formats. Features and editorial policies here: http://raco.cat/index.php/Hipertext/about/editorialPolicies#sectionPolicies Deadline: January 30th, 2019 Authors notified: April 1st, 2019 Par Review Process System Authors guidelines: http://raco.cat/index.php/Hipertext/about/submissions Contact: Pere Freixa, Editor-in-chief, hipertext(a)upf.edu Papers will be accepted in English, Spanish or Catalan * * * Llamada abierta de artículos: Hipertext.net, número, 18, mayo de 2019 Llamada abierta para el envío de artículos, Informes e Investigaciones doctorales/Síntesis. Para más detalles sobre características y política editorial en este enlace: http://raco.cat/index.php/Hipertext/about/editorialPolicies#sectionPolicies Data límite de envío: 30 de enero de 2019 Notificación de aceptación: 1 de abril de 2019 Proceso de revisión por pares. Pautas para autores: http://raco.cat/index.php/Hipertext/about/submissions Contacto: Pere Freixa, Director editorial, hipertext(a)upf.edu Se aceptan originales escritos en español, inglés o catalán * * * Crida oberta d’articles: Hipertext.net, número, 18, maig de 2019 Crida oberta per a l’enviament d’articles, d’Informes i d’Investigacions Doctorals/ Síntesi. Més detalls sobre les característiques i polítiques editorials en aquest enllaç: http://raco.cat/index.php/Hipertext/about/editorialPolicies#sectionPolicies Data límit d’enviament: 30 de gener de 2019 Notificació d’acceptació: 1 d’abril de 2019 Revisió per parells. Pautes pels autors: http://raco.cat/index.php/Hipertext/about/submissions Contacte: Pere Freixa, Director editorial, hipertext(a)upf.edu Es poden presentar originals escrits en castellà, anglès o català <https://www.avast.com/sig-email?utm_medium=email&utm_source=link&utm_campai…> Libre de virus. www.avast.com <https://www.avast.com/sig-email?utm_medium=email&utm_source=link&utm_campai…> <#DAB4FAD8-2DD7-40BB-A1B8-4E2AA1F9FDF2>

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Postdoctoral Fellowships at the Digital Life Initiative, Cornell Tech
by Jessie Garrett Taft 20 Dec '18

20 Dec '18

Good afternoon, The Digital Life Initiative (DLI; dli.tech.cornell.edu) at Cornell Tech is pleased to announce that we are currently accepting applications for postdoctoral fellows to begin in August 2019. We are seeking candidates whose work aligns with DLI's focus on societal perspectives on digital technologies, focusing on key ethical and political issues, such as privacy, accountability, access, security, and fairness. We welcome applicants from a range of disciplines including computer and information sciences, law, philosophy, data science, media studies, public policy, and social science whose work is concerned with ethics, politics, and quality of life. Fellows will work with Digital Life Initiative Director, Helen Nissenbaum, and affiliated faculty, as well as with the collaborative academic and industry community of Cornell Tech and greater New York City. Applications will be considered beginning in January 2019 until the positions are filled. For more information and to apply, please visit dli.tech.cornell.edu/postdocs Please forward this announcement to others who may be interested! Sincerely, Jessie G Taft On behalf of Helen Nissenbaum and the Digital Life Initiative

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Student travel support grants for ACM IUI 2019
by Axel Soto 20 Dec '18

20 Dec '18

Applications for student travel support grants for attending IUI 2019 are now open! See https://iui.acm.org/2019/student_grants.html for details. -- ACM IUI 2019 (https://iui.acm.org/2019/) is the 24th annual meeting of the intelligent interfaces community and serves as a premier international forum for reporting outstanding research and development on intelligent user interfaces. ACM IUI is where the Human-Computer Interaction (HCI) community meets the Artificial Intelligence (AI) community.

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Acquiring training on big data research
by Luis Hestres 20 Dec '18

20 Dec '18

Hello AoIR, I’m writing a faculty development leave (aka sabbatical) proposal to acquire training on big data research. Ideally this would include all aspects of big data research, from data acquisition to modes of analysis like social network analysis. In my proposal I’ll have to list specific resources, such as books, tutorials, MOOCs, etc. that I will draw upon to gain this knowledge. Can you recommend some resources I could include in my proposal? Thanks, Luis - - - - - Dr. Luis E. Hestres Assistant Professor Department of Communication The University of Texas at San Antonio One UTSA Circle San Antonio, TX 78249-0732 http://www.luishestres.com<http://www.luishestres.com/> Want to support our tax deductible nonprofit work by contributing to the UTSA department of communication? Please visit: https://giving.utsa.edu/FriendsofCommunication Thanks for your support!

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New Book: Appified: Culture in the Age of Apps
by Jeremy Morris 20 Dec '18

20 Dec '18

Normally I’d apologize for the self-promo, but since 1 great co-editor and 32 other amazing authors were involved (many AoIR regulars!), I’ll just forge ahead. We're very excited to let you know "Appified: Culture in the Age of Apps" is officially out. We asked each author to write a critical-cultural review of a single app and then use that as a starting point to connect to issues in digital culture more broadly. You can find out more about the collection at the University of Michigan Press site <https://www.press.umich.edu/9391658/appified> (h/t to Mary Francis, our editor) and while we’re likely too late to make it on to any of your holiday gift lists, we’re hoping it’ll be of some value for courses next semester. We’ve attached a brief summary of the TOC below, but email me if you need any more info on (or access to) any of the chapters: App Annie - Patrick Vonderau Ashley Madison - Ben Light Tencent MyApp (Yingyong Bao) - Luzhou Nina Li Exodus International - Tarleton Gillespie TaskRabbit - Sarah Sharma Carrot - Sarah Murray See Send - Greg Elmer and Bahar Nasirzadeh Is It Tuesday? - Jeremy Morris LoseIt! - Natasha Schüll Fitbit - Kate O’Riordan Tinder - Stefanie Duguay Hollaback! - Carrie Rentschler The Sex Offender Tracker App - Sharif Mowlabocus Companion - Elizabeth Ellcessor Yik Yak - Tamara Shepherd and Christopher Cwynar WeChat - Finn Brunton Snapchat - Jill Walker Rettberg Foursquare - Germaine Halegoua WhatsApp - Radhika Gajjala and Tarishi Verma This. Reader - Devon Powers Periscope - Megan Sapnar Ankerson Tubi TV - Gerard Goggin Hillary 2016 - Fenwick McKelvey Shazam - Elena Razlogova iMaschine 2 - Victoria Simon Here: Active Listening System - Mack Hagood RuPaul’s Drag Race Keyboard - Kate Miltner DraftKings - Jason Kido Lopez Kendall & Kylie - Jessalynn Keller and Alison Harvey Neko Atsume - Shira Chess Some kind words about the collection: “The theoretical and methodological breadth is impressive. From the popular to the forgotten, from casual games to rape reporting, these chapters weave a rich tapestry of the multiple meanings of apps for politics, society, and everyday life.” —Amelia Arsenault, Georgia State University “Morris and Murray have assembled an all-star cast to reveal the spectacular power of the software in all of our pockets. Appified is an essential collection for students and scholars of digital media culture, and all who seek to understand the indelible imprint of apps on our daily lives.” —Jennifer Holt, University of California, Santa Barbara That’s all. Thanks for your time. https://www.press.umich.edu/9391658/appified **** Dr. Jeremy Morris Associate Professor Dept. of Communication Arts University of Wisconsin-Madison 6132 Vilas Hall

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digital infrastructure that supports language diversity
by Isabelle Zaugg 20 Dec '18

20 Dec '18

Dear all, A colleague of mine is organizing an event on the topic of digital infrastructures for language justice/diversity. I've helped her as much as I could, but thought our network might have other suggestions of resources/scholars. She is particularly interested in finding work that talks at a philosophical level about how digital infrastructure allows/disallows for language diversity in the digital sphere. Thank you, Isabelle

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Call for Submission 4S 2019 Open Panel: STS, Knowledge Production, Policing and Criminal Justice
by Fieke Jansen 20 Dec '18

20 Dec '18

Dear colleagues, Just before the holidays, I wanted to share our call for submissions to the 4S open panel 153 “STS And Computational Knowledge Production In Policing And Criminal Justice” Recent innovations in technologies and processes of data analysis and computational science – mainly in reference to terms (and myths) like big data, algorithmic decision making and artificial intelligence – have transformed many processes of knowledge production in the fields of policing and criminal justice. With predictive policing as one of its earliest and most prominent representatives (Perry et al. 2013; Bennett Moses & Chan, 2018), the algorithmic mediated production of (prospective) knowledge has now also affected the criminal justice system at every level. Different predictive models include generating risky spaces – PredPol (Mohler et al., 2015); risky individuals – Chicago’s ‘strategic subject list’ (Saunders/Hunt/Hollywood, 2016) and US’ Computer-Assisted Passenger Pre-screening System; or calculating the recidivism risk of convicted offenders in order to inform the sentence decision (predictive prosecution) (Ferguson, 2016). This development has gone hand-in-hand with a rapid technological expansion from the frontline to the back office. Thus, regardless of whether suspects or spaces are objects of (predictive) knowledge production, or if recidivism risk scores for convicted offenders are generated, in the end, policing and justice are increasingly characterized by socio-technical interwovenness with digital data production and algorithmic technologies. This calls for a thorough STS analysis to get at the innovations, interruptions, regenerations, successes and failures herein involved in the co-construction of policing practices and technological development. Correspondingly, this panel seeks to ask how STS can provide analytical tools for grasping the entanglement of technology and society involved in the development and implementation of computational knowledge production in policing and criminal justice. Deadline: February 1, 2019 Submissions: https://www.4s2019.org/accepted-open-panels/ We are looking forward to your proposals! Thomas Linder, Queen’s University, Kingston, Canada Nikolaus Pöchhacker, MCTS, Technical University of Munich Simon Egbert, University of Hamburg Fieke Jansen, Cardiff University Jens Hälterlein, University of Freiburg

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CFP - Digital Memory Practices in and after Conflict
by noam tirosh 19 Dec '18

19 Dec '18

Dear Colleagues, Please find the Call for Participation and Papers for a workshop that will take place in Belgrade at the Faculty of Media and Communications (FMK) in September 19. Please fell free to share it with anyone you know who may be interested to apply. Best Wishes, Noam Tirosh Ben-Gurion University of the Negev

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Call for Contributions: iConference workshop in Washington, DC, March 31st, 2019
by Violeta Trkulja 19 Dec '18

19 Dec '18

Dear colleagues, We invite you to submit your research to our workshop. Please find below a call for contributions and send it to interested colleagues. Apologies for cross posting. Thank you and kind regards, Juliane Stiller, Nadia Caidi, Violeta Trkulja and Syed Ishtique Ahmed *Charting the Future of Forced Migration Research in Information Science* This is a call for contributions for a full-day workshop at the 2019 iConference to be held in Washington, DC United States, on Sunday, March 31st, 2019. Information as a research object in the area of forced migration[1] and vice versa, forced migration in the information science domain, is only slowly gaining attention and has not yet been addressed in an interdisciplinary research environment. Information science provides a perfect lens through which to examine a range of forced migration-related issues, practices, and methodologies. In the workshop, we would like to bring together researchers from the information fields broadly construed, along with researchers in related disciplines to showcase the range of areas, practices and methodologies available to research forced migration. The aim is to introduce our IS colleagues to other research in related disciplines, as well as acculturate our colleagues from other disciplines into the rich research context and frameworks in information science. Throughout the workshop, attendees will be able to examine these research questions, focusing on one of the two following themes: +Information spaces of refugees -navigating the information environments in new and/or transitional countries -operational knowledge about information practices in different contexts -making space for refugees -evolving services provided by (public) libraries and other information professionals in the context of forced migration +Digitally-mediated environments of refugees -information-related skills and strategies that facilitate access to information -the role of social media and online spaces as sources of information and in creating and regaining a sense of place -role and/or importance of access to ICT for refugees -credibility and assessment issues; multilingual interactions; user-generated content The workshop will feature a panel, lightning talks and engagement sessions. +Abstract Submission The workshop welcomes submissions for presenting a lightning talk of 15 minutes in one of the main themes of the workshop: Information spaces of refugees and digitally-mediated environments for refugees. Each lightning talk session will be followed by an interactive engagement with part of the audience led by the speaker. When submitting an abstract for a talk, please state your plan for an interactive session that encourages audience commentary and engagement. Please plan for no more than 30 minutes. Your submission should include the following things: -abstract of your lightning talk with up to 300 words -short description of your audience engagement idea with no more than 200 words. Please send your submission to iconf2019-forcedmigrationws(a)lists.hu-berlin.de *Important Dates* -Abstract submission deadline: Jan 15th, 2019 -Notification of acceptance: Feb 15th, 2019 Knowledge Dissemination – Special Issue of IJIDI In addition to the Workshop, we will also produce a Special Issue in the International Journal for Information, Diversity and Inclusion (IJIDI) on the theme of the future of forced migration in information science. We welcome full research papers that make a novel contribution to this area of research (e.g., empirical, theory-based, methodological, comparative), and we seek a broad spectrum of submissions from workshop attendees as well as those who are not able to attend the workshop. The Special Issue will also have a special section for student work, works in progress, opinion pieces, and professional reports. Deadlines for the Special Issue of IJIDI: Extended abstracts of up to 1,000 words for full research papers and up to 500 words for contributions to the special section are due by April 30, 2019. Authors will be notified of acceptance by May 30, 2019. The final papers will be due by October 15, 2019. Publication scheduled for the April 2020 issue. Organizers Dr. Juliane Stiller, Berlin School of Library and Information Science, Humboldt-Universität zu Berlin, Germany (juliane.stiller(a)ibi.hu-berlin.de) Dr. Nadia Caidi, Faculty of Information, University Toronto, Canada (nadia.caidi(a)utoronto.ca) Dr. Violeta Trkulja, Berlin School of Library and Information Science, Humboldt-Universität zu Berlin, Germany (violeta.trkulja(a)ibi.hu-berlin.de) Dr. Syed Ishtiaque Ahmed, Computer Science, University of Toronto, Canada (ishtiaque(a)cs.toronto.edu) [1] Lloyd, A., Pilerot, O., & Hultgren, F. (2017). The remaking of fractured landscapes: Supporting refugees in transition (SpiRiT). Information Research, 22(3), paper 764. Retrieved from http://www.informationr.net/ir/22-3/paper764.html -- Dr. Juliane Stiller und Dr. Violeta Trkulja Humboldt-Universität zu Berlin Berlin School of Library and Information Science Sitz: Dorotheenstrasse 26, 10117 Berlin Post: Unter den Linden 6, 10099 Berlin Mail: juliane.stiller(a)ibi.hu-berlin.de | violeta.trkulja(a)ibi.hu-berlin.de Web: www.ibi.hu-berlin.de

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