- Air-L - lists.aoir.org

aWEAR'16 call for participation
by srecko joksimovic 02 Oct '16

02 Oct '16

Dear All, This is a call for the participation at the aWEAR'16: "Wearable technologies, knowledge development, and learning" conference on November 14-15, 2016 at Stanford University. The conference is organized for the first time and aims at establishing a community of researchers that would define directions and goals of further development in the field. aWEAR'16 will feature 7 paper sessions, panels, and a conference reception. We are also pleased to have exciting keynote speakers Dr. Sidney D'Mello, Dr. Thecla Schiphorst, Dr. Thérèse Dugan, and Dr. Dragan Gašević. We look forward to two days of fascinating discussion and networking at the beautiful Stanford campus. For more details, please visit the conference website http://awear16.interlab.me/. Registration URL: http://bit.ly/awear-register. Sincerely, Conference Chairs

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looking for data on #BringBackOurGirls
by Donald Matheson 02 Oct '16

02 Oct '16

Dear colleagues, A Masters student here at Canterbury University in Aotearoa New Zealand, Emma Murphy, is researching tweets around the #BringBackOurGirls campaign. She's not on this list, so I'm posting on her behalf: Can we ask if anyone has some (reliable) numbers on the use of the hashtag over the past two years or so they'd be willing to share? Many thanks, Donald This email may be confidential and subject to legal privilege, it may not reflect the views of the University of Canterbury, and it is not guaranteed to be virus free. If you are not an intended recipient, please notify the sender immediately and erase all copies of the message and any attachments. Please refer to http://www.canterbury.ac.nz/emaildisclaimer for more information.

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CfP: NIPS symposium on Machine Learning and the Law
by Jat Singh 02 Oct '16

02 Oct '16

NIPS 2016 Symposium on Machine Learning and the Law ----------------------------------------------------------------------------- Please forward to others who may have interest. Important Dates ---------------------- Submission Deadline: Nov 3, 2016 Decision to Authors: Nov 18, 2016 Final Papers Due: Dec 1, 2016 (papers may be revised following the symposium) Symposium Date: Dec 8, 2016 Note that to come to any of the three NIPS symposia, you must be registered either for the main NIPS conference or for the workshops. Early registration with reduced pricing ends at 12:59am on October 6. Website www.MLandtheLaw.org Symposium on Machine Learning and the Law -------------------------------------------------------------- Advances in machine learning and artificial intelligence mean that predictions and decisions of algorithms are already in use in many important situations under legal or regulatory control, and this is likely to increase dramatically in the near future. Examples include deciding whether to approve a bank loan, driving an autonomous car, or even predicting whether a prison inmate is likely to offend again if released. This symposium will explore the key themes of privacy, transparency and fairness specifically as they relate to the legal treatment and regulation of algorithms and data. Our primary goals are (i) to inform our community about important current and ongoing legislation (e.g. the EU’s GDPR); and (ii) to bring together the legal and technical communities to help form better policy in the future. We welcome machine learners, lawyers and anyone interested in social policy. Although the impact of machine learning on jobs in the legal profession is an important topic, that is not a key focus of this symposium. Call for Papers --------------------- Authors are invited to submit research abstracts on topics that relate broadly to the themes of machine learning and the law, including but not limited to issues of privacy, liability, transparency and fairness as they relate to algorithms and data. Submissions should be up to 6 pages in NIPS format (short submissions are welcome, longer submissions may be accepted, please contact us if this would help you). Submissions need not be anonymized. Given the novelty of the field, we welcome a wide range of submissions, whether technical, legal or careful thought pieces to stimulate debate and discussion. We are happy to consider submissions that survey and comment on relevant work that has been previously published. We aim to highlight a few submissions in spotlight presentations by authors at the symposium. All accepted papers will be made available on our symposium website, and will appear in an issue of JMLR Workshop and Conference Proceedings (unless authors prefer not). Please see www.MLandtheLaw.org for submission details. Submissions are due Nov 3, 2016 (11:59PM PDT). Sponsors: We gratefully acknowledge support from the Center for the Study of Existential Risk, and the Leverhulme Center for the Future of Intelligence.

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CfP: Digital Data for Nutrition, Healthy Eating and Exercise; Deadline Nov 30
by Ingmar Weber 01 Oct '16

01 Oct '16

If you're using Internet data for health studies, then the following call for paper might be of interest. The "Frontiers" journals are top-notch in terms of Impact Factor (https://blog.frontiersin.org/2015/06/23/more-frontiers-journals-receive-imp…) == Special Journal Issue: Digital Data for Nutrition, Healthy Eating and Exercise http://journal.frontiersin.org/researchtopic/5186/digital-data-for-nutritio… Dietary behavior surveillance is central for monitoring both public and individual health, as well as understanding its underlying cultural, social, and psychological mechanisms. Heart disease, diabetes, osteoarthritis, and even cancer have all been linked to weight gain, and the US Center for Disease Control and Prevention (CDC) estimates some 35% of adults in US are obese, with medical care and other expenses associated with obesity costing up to $190 billion a year (as of 2012). Large-scale dietary studies of food consumption use questionnaires and food diaries to keep track of the daily activities of their participants. Public health awareness campaigns then use data on dietary behavior across various population segments to tailor their message and intervention techniques. Recently, the Quantified Self revolution has involved the individual in personalized health management, with easy diet tracking, gamification approaches to a more active lifestyle, and online social support networks, opening opportunities for quantitative study both at individual and population levels. The availability of online data is creating unprecedented opportunities to study these issues from new angles as many dietary related behaviors leave digital traces: users search for diet advice on Google, they upload cooking suggestions to allrecipes.com, they turn to online communities for help with eating disorders, they check in at their gym on Foursquare, and they share their #FoodPorn pictures on Instagram. Though such online data comes with its own set of challenges, in particular related to quality and selection biases, recent work shows the potential benefits online data offers concerning scale, richness, social network information, as well as low latency and cost. While computer scientists have the technical expertise to collect and analyze such data, they typically lack the domain expertise to ask the right, impactful research questions and to position their work within the existing body of knowledge. At the same time nutritionists and public health experts might not know how tools such as machine learning can be used to deal with large amounts of messy online data. Through this special issue we hope to strengthen interdisciplinary work that critically analyzes the value that online data holds for dietary studies. We welcome novel contributions that use online data -- including, but not limited to, social media, web logs, search logs, multimedia, social network data, online communities, smartphone applications and mobility data -- to study dietary behavior and healthy weight management for applications both in individual and public health. Important Note: All contributions to this Research Topic must be in line with the scope of the specialty and field to which they are submitted, as defined in their mission statements. Manuscripts discovered during any stage of peer review to be outside of the scope may be transferred to a suitable section or field, or withdrawn from review. Submission Deadline 30 November 2016 There will be a short turn-around time with the first round of decisions out by late January 2017. Articles will be published online soon after their final decision, without a need to wait for all articles in this issue to have finished the process. Topic Editors Ingmar Weber (https://scholar.google.com/citations?user=3YDUbP0AAAAJ, http://loop.frontiersin.org/people/256504/overview, http://ingmarweber.de/publications/) Yelena Mejova (https://scholar.google.com/citations?user=iXWFZMQAAAAJ, http://loop.frontiersin.org/people/365536/overview, https://sites.google.com/site/yelenamejova/publications) Hamed Haddadi (https://scholar.google.com/citations?user=gkA7zvoAAAAJ, http://loop.frontiersin.org/people/242287/overview, http://www.eecs.qmul.ac.uk/~hamed/publications.html) Contact me for questions on the special issue (or "Research Topic" in Frontiers lingo) or if you're generally interested in the topic. CONFIDENTIALITY NOTICE: This email and any attachments transmitted with it are confidential and intended for the use of individual or entity to which it is addressed. If you have received this email in error, please delete it immediately and inform the sender. Unless you are the intended recipient, you may not use, disclose, copy or distribute this email or any attachments included. The contents of this email, including any attachments, may be subjected to copyright law. In such cases, the contents may not be copied, adapted, distributed or transmitted without the consent of the copyright owner.

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AoIR 2016 - Human-Machine Communication researchers meet-up?
by Andrea Guzman 01 Oct '16

01 Oct '16

Hello all, I am coordinating a human-machine communication researchers meet-up at AoIR. This will be an informal chat over coffee, beer, or even a meal. Human-Machine Communication generally encompasses human-computer interaction, human-robot interaction, and human-agent interaction. Here is an example of a recent ICA post-conference on HMC: https://convention2.allacademic.com/one/ica/ica16/index.php?selected_sessio… If you want to be part of the meet-up, e-mail me OFF LIST by Monday so that I can have a general idea of who is interested, and we'll go from there. If you will not be at AoIR or will not be able to make the meet-up, I also curate an e-mail list of HMC scholars. Feel free to e-mail me if you want to be added to that. Safe travels! _____ Andrea L. Guzman, Ph.D. Assistant Professor Dept. of Communication Northern Illinois University alguzman(a)niu.edu

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Journal of Peer Production #9 "Alternative Internets"
by maxigas 01 Oct '16

01 Oct '16

Journal of Peer Production #9 "Alternative Internets" The Journal of Peer Production editorial team is delighted to announce our latest release, JoPP #9, "Alternative Internets" edited by Félix Tréguer, Panayotis Antoniadis and Johan Söderberg. As always, the peer review process - including original submissions, reviews, revised papers, and signals - is accessible. The issue is available for free here: http://peerproduction.net/issues/issue-9-alternative-internets/ >From the Introduction: The hopes of past generations of hackers weigh like a delirium on the brains of the newbies. Back in the days when Bulletin Board Systems metamorphosed into the Internet, the world's digital communications networks - hitherto confined to military, corporate and elite academic institutions - were at grasping reach of ordinary individuals. To declare the independence of the Internet from nation states and the corporate world seemed like no more than stating the bare facts. Even encrypted communication - the brainchild of military research - had leaked into the public's hands and had become a tool wielded against state power. Collectives of all stripes could make use of the new possibilities offered by the Web to bypass traditional media, broadcast their own voice and assemble in new ways in this new public sphere. For some time, at least, the Internet as a whole embodied "alternativeness." JOPP# 9 CONTENTS Alt. vs. Ctrl.: Editorial notes for the JoPP issue on Alternative Internets Félix Tréguer, Panayotis Antoniadis and Johan Söderberg PEER REVIEWED ACADEMIC PAPERS In Defense of the Digital Craftsperson James Losey and Sascha D. Meinrath Hacktivism, Infrastructures and Legal Frameworks in Community Networks: The Italian Case of Ninux.org Stefano Crabu, Federica Giovanella, Leonardo Maccari and Paolo Magaudda Enmeshed Lives? Examining the Potentials and the Limits in the Provision of Wireless Networks. The Case of Réseau Libre Christina Haralanova and Evan Light Going Off-the-Cloud: The Role of Art in the Development of a User-Owned & Controlled Connected World Daphne Dragona and Dimitris Charitos Gesturing Towards "Anti-Colonial Hacking" and its Infrastructure Sophie Toupin The Interplay Between Decentralization and Privacy: The Case of Blockchain Technologies Primavera De Filippi Finding an Alternate Route: Towards Open, Eco-cyclical, and Distributed Production Stephen Quilley, Jason Hawreliak and Kaitlin Kish EXPERIMENTAL FORMAT Alternative Policies for Alternative Internets Melanie Dulong de Rosnay -- maxigas, kiberpunk FA00 8129 13E9 2617 C614 0901 7879 63BC 287E D166 http://relay70.metatron.ai/ In Solidarity with Library Genesis and Sci-hub http://custodians.online Share this letter - read it in public - leave it in the printer. Share your writing - digitize a book - upload your files. Don't let our knowledge be crushed. Care for the libraries - care for the metadata - care for the backup. Water the ❀❀❀❀❀ - clean the volcanoes.

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Google release large YouTube dataset
by Joly MacFie 30 Sep '16

30 Sep '16

(h/t Bud Parr @CivicHall) >From Google/Youtube: "Today, we are excited to announce the release of YouTube-8M, a dataset of 8 million YouTube video URLs (representing over 500,000 hours of video), along with video-level labels from a diverse set of 4800 Knowledge Graph entities. This represents a significant increase in scale and diversity compared to existing video datasets. " https://research.googleblog.com/2016/09/announcing-youtube-8m-large-and-div… -- --------------------------------------------------------------- Joly MacFie 218 565 9365 Skype:punkcast -------------------------------------------------------------- -

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IS+IT Asst/Assoc Profs, NJIT (near NY City)
by Bieber, Michael 30 Sep '16

30 Sep '16

The Department of Information Systems (which is changing its name to the Department of Informatics) at New Jersey Institute of Technology seeks outstanding candidates for two full time faculty positions at the level of Assistant or Associate Professor. Successful candidates must have a PhD in a computing-related field by Summer 2017. *Information Systems area*: Preferences will be given to those who specialize in health informatics / smart health, or cyber-human systems / social computing. Outstanding candidates in other IS areas will also be considered. Teaching qualifications should include introductory courses in Web programming, Databases, Data Analytics, Systems Analysis and Design, and advanced courses in an area of expertise. *Information Technology (IT) area*: Preference will be given to candidates in security, networking, multimedia, game development, or VR, but outstanding candidates in other Information Technology areas will also be considered. Some industrial experience in an area of IT is a plus, and teaching interests should include general courses in IT as well as advanced specialization courses. Applicants should have an excellent academic record and exceptional potential for world-class research and attracting grant funding. Candidates with exceptional records will be considered at the associate professor level. The IS Department is part of the Ying Wu College of Computing. As such, tenure and teaching expectations are aligned with those of the broader computing community, with an emphasis on grant funding and publishing in top computing conferences and journals. The IS Department has degree programs ranging from Bachelor’s, Master’s, to Ph.D., and it specializes in human-centered computing and data intensive research. Interdisciplinary work is strongly encouraged across the university and with other partners. NJIT is located 30 minutes from Silicon Alley and NYC by train. The area has a high concentration of industry and businesses, with many opportunities for research collaboration and consulting. The area offers a variety of living environments, from lively urban to quiet suburbs to the Jersey shore, with excellent school districts. To Apply: 1. Visit “Career Opportunities” on NJIT Human Resources web site ( http://hr.njit.edu/) for “Faculty Positions”. The position numbers are 0603580 and 0603581, respectively. 2. Create your application, and post your cover letter and CV. 3. Email supplemental materials (research and teaching statements, and sample publications) to hireis(a)njit.edu 4. Have at least 3 letters of reference emailed to hireis(a)njit.edu. For more information regarding these positions, please visit http://is.njit.edu/about/jobs. Additional questions should be addressed to search committee chair Dr. Michael Bieber (mailto:bieber@njit.edu <bieber(a)njit.edu>). *NJIT encourages applications from individuals with disabilities, minorities, veterans and women. EEO employer.*

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Dean, College of Computing, NJIT (near NY City)
by Bieber, Michael 30 Sep '16

30 Sep '16

Dean, Ying Wu College of Computing http://ccs.njit.edu/dean-search/ New Jersey Institute of Technology (NJIT) seeks applications and nominations from the academic and corporate sectors for the position of Dean of the Ying Wu College of Computing (CCS). LOCATION: NJIT is located 30 minutes from Silicon Alley and New York City by train. The area has a high concentration of industry and businesses, with many opportunities for research collaboration and internships. The area offers a variety of living environments from lively urban to quiet suburbs with excellent school districts, to hills, farmland and the shore. CONSTITUENCIES AND STRENGTHS: CCS, established in 2001, is comprised of the Department of Computer Science, the Department of Information Systems (to be renamed Department of Informatics), and the Information Technology Program. The College enrolls approximately 2385 students, including 1390 undergraduates, 925 master students, and 70 doctoral students; these students, representing about 21 percent of NJIT's student body, are taught by 37 tenured and tenure-track faculty and 23 full-time, non-tenure track faculty. Undergraduate degree programs in Computer Science, Information Systems, and Information Technology are ABET accredited. CCS has a strong research focus, with over 40 active grants and $13m in predominantly federal agency funding, including but not limited to Cyber Security and Networking, Data Analytics, Cyber-Human Systems, and Game Design. Based on the 2015 Shanghai Rankings, TheBestSchools.org released its top 100 Computer Science programs in the world, with NJIT's program ranked 47 in the United States and 100 globally. The Princeton Review chose NJIT as one of the top 50 undergraduate schools for Game Design in 2016.

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IS+IT Asst/Assoc Profs, NJIT (near NY City)
by Bieber, Michael P. 30 Sep '16

30 Sep '16

The Department of Information Systems (which is changing its name to the Department of Informatics) at New Jersey Institute of Technology seeks outstanding candidates for two full time faculty positions at the level of Assistant or Associate Professor. Successful candidates must have a PhD in a computing-related field by Summer 2017. *Information Systems area*: Preferences will be given to those who specialize in health informatics / smart health, or cyber-human systems / social computing. Outstanding candidates in other IS areas will also be considered. Teaching qualifications should include introductory courses in Web programming, Databases, Data Analytics, Systems Analysis and Design, and advanced courses in an area of expertise. *Information Technology (IT) area*: Preference will be given to candidates in security, networking, multimedia, game development, or VR, but outstanding candidates in other Information Technology areas will also be considered. Some industrial experience in an area of IT is a plus, and teaching interests should include general courses in IT as well as advanced specialization courses. Applicants should have an excellent academic record and exceptional potential for world-class research and attracting grant funding. Candidates with exceptional records will be considered at the associate professor level. The IS Department is part of the Ying Wu College of Computing. As such, tenure and teaching expectations are aligned with those of the broader computing community, with an emphasis on grant funding and publishing in top computing conferences and journals. The IS Department has degree programs ranging from Bachelor’s, Master’s, to Ph.D., and it specializes in human-centered computing and data intensive research. Interdisciplinary work is strongly encouraged across the university and with other partners. NJIT is located 30 minutes from Silicon Alley and NYC by train. The area has a high concentration of industry and businesses, with many opportunities for research collaboration and consulting. The area offers a variety of living environments, from lively urban to quiet suburbs to the Jersey shore, with excellent school districts. To Apply: 1. Visit “Career Opportunities” on NJIT Human Resources web site ( http://hr.njit.edu/) for “Faculty Positions”. The position numbers are 0603580 and 0603581, respectively. 2. Create your application, and post your cover letter and CV. 3. Email supplemental materials (research and teaching statements, and sample publications) to hireis(a)njit.edu 4. Have at least 3 letters of reference emailed to hireis(a)njit.edu. For more information regarding these positions, please visit http://is.njit.edu/about/jobs. Additional questions should be addressed to search committee chair Dr. Michael Bieber (mailto:bieber@njit.edu <bieber(a)njit.edu>). *NJIT encourages applications from individuals with disabilities, minorities, veterans and women. EEO employer.*

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