Dear Colleagues, in addition to the cfp still open for the special issue of "Critical Data and Algorithm Studies" (see below!), we would like to extend the invitation to join us at the "Critical Data Science" workshop at ICWSM 2019 in Munich. With best regards Katja Mayer CALL FOR PAPERS *Workshop on Critical Data Science* at the 13th International AAAI Conference on Web and Social Media (ICWSM-2019), Munich, Germany, June 11, 2019 https://projects.iq.harvard.edu/critical-data-science *Submissions deadline: March 25, 2019* *Acceptance notification: April 12, 2019* We invite submissions to the Workshop on Critical Data Science, taking place on June 11, 2019 at the 13th International AAAI Conference on Web and Social Media (ICWSM-2019) in Munich, Germany. ------------- The social world is far messier than technical training prepares one for. Among data scientists trained in fields like computer science and statistics are those experiencing a sense of vertigo: we start to realize both the ways in which modeling breaks down on human beings, requiring different notions of rigor, and the potentially negative social impacts of modeling, requiring responsible engagement and activity. We define “critical data science” as our vision of the practice of working with and modeling data (the “data science”), combined with identifying and questioning the core assumptions commonly underlying that practice (the “critical”). The workshop seeks to combine cultures of critique with those of practice, bringing together data scientists and scholars from computer science and the social sciences around responsibly carrying out data science on social phenomena, and creating sustainable frameworks for interdisciplinary collaboration. The workshop will involve short reflective presentations by participants, combined with a creative group-based activity to further support reflection of their own and neighboring scientific practices and to create opportunities for further cooperation. The workshop will conclude with a wrap-up for collecting resources and discussing future outcomes, and producing a draft compilation of best practices and a list of priorities for further engagement. Submissions may either be non-archival 2-page statements of interest or motivation, or archival papers up to 4,000 words. Accepted archival papers will be published in Workshop Proceedings of the 13th International AAAI Conference on Web and Social Media <https://www.frontiersin.org/research-topics/9706>, a special issue of the journal Frontiers in Big Data. Open Access publishing costs will be waived for authors without institutional support for covering these fees. Topics include: * What should be standards and practices both of methodological rigor, and of respect for subjects, when carrying out computational research on social systems? * What role can discussions of methods and instruments play in larger critiques of the limitations of data science? * What are points of fundamental disagreement or diverging orientations/priorities between disciplines? * What can we learn from the long tradition of critical scrutiny in statistics? * What combinations of experiences and/or readings has led data scientists to recognize, and perhaps even adopt, ‘non-technical’ ways of framing the world? How do and can these ways of knowing interact with a modeling approach? * What philosophical commitments or normative orientations, if adopted by data scientists, would produce a principled data science? How can those be realized in interdisciplinary teams? * What might it look like to use modeling critically and reflexively, or to contextualize what we can or cannot know from modeling from within the modeling process? * What can we learn from works looking at the social impact of implemented model-based systems? * What sorts of practices, coalitions, and collaborations can include marginalized voices into data science rather than exclude them? * Beyond a space for critical reflection, what can be the positive project of a critical data science? * How can we design collaborations in critical data science? See https://projects.iq.harvard.edu/critical-data-science for more information and submission instructions. Contact: <criticaldatasci2019@gmail.com <mailto:criticaldatasci2019@gmail.com>>. ORGANIZERS *Momin M. Malik* <momin_malik@cyber.harvard.edu <mailto:momin_malik@cyber.harvard.edu>>, Berkman Klein Center for Internet & Society at Harvard University *Katja Mayer* <katja.mayer@univie.ac.at <mailto:katja.mayer@univie.ac.at>>, Department of Science and Technology Studies, University of Vienna, and ZSI Centre for Social Innovation Vienna *Hemank Lamba* <hlamba@cs.cmu.edu <mailto:hlamba@cs.cmu.edu>>, School of Computer Science, Carnegie Mellon University *Claudia Müller-Birn* <clmb@inf.fu-berlin.de <mailto:clmb@inf.fu-berlin.de>>, Institute of Computer Science, Freie Universität Berlin Am 22.01.19 um 14:00 schrieb Katja Mayer:
Dear Colleagues,
We would like to point your attention to a current call for papers for a special issue to be published with Frontiers in Big Data entitled "Critical Data and Algorithm Studies".
Deadlines: 26 March 2019, abstract; 16 September 2019, manuscript.
This special issue is dedicated to bringing together critical expertise of scientists in data-driven research areas, who reflect their daily routines, their methods, data sources and the social impact of their research. We would also like to give space to those experiences coming from newly established collaborations of computer scientists with social scientists and humanities’ scholars, moreover with policy makers, activists, or in citizen science projects. The focus is on the critical reflection of scientific methods, data sources, modeling, validation, replication, and review procedures including questions of their impact regarding social behaviour, power relations, ethics, and accountability, thus the performative and normative aspects of data science practices.
We welcome your papers to our peer-reviewed Article Collection. Papers can be original research, reviews, or perspectives, among other article types. More information:
https://www.frontiersin.org/research-topics/9570/ <https://urldefense.proofpoint.com/v2/url?u=https-3A__www.frontiersin.org_research-2Dtopics_9570_&d=DwMFAg&c=pZJPUDQ3SB9JplYbifm4nt2lEVG5pWx2KikqINpWlZM&r=uXI5O6HThk1ULkPyaT6h2Ws3RKNKSY__GQ4DuS9UHhs&m=6mIaugT4iJb5AOM8KpTYlasiiZKd58KfHip3ebCz6yw&s=d94EkKJF2ufL7aGfanUY5ePTcQnPPGLtjrqdrrm_90o&e=>
Katja Mayer and Jürgen Pfeffer
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Frontiers Gold Open Access: If you decide to publish with Frontiers, your paper will be free to read for everyone. As an Open Access publisher, Frontiers charges Article Processing Charge for accepted papers (USD 950 for long articles; USD 450 for shorter ones). If your institution or grant does not cover Open Access fees, simply apply for a waiver. There are no financial barriers to publishing with Frontiers. Frontiers also has 100+ institutional agreements with universities and research organizations as well as 2 national deals. Submissions will be judged on originality, interest, clarity, relevance, correctness, language, and presentation (inter alia) by our editorial board members (https://www.frontiersin.org/journals/big-data/sections/data-mining-and-manag...). If you have any questions related to charges or processes, please do not hesitate to write to the editorial office at bigdata@frontiersin.org. _______________________________________________ The Air-L@listserv.aoir.org mailing list is provided by the Association of Internet Researchers http://aoir.org Subscribe, change options or unsubscribe at: http://listserv.aoir.org/listinfo.cgi/air-l-aoir.org
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-- Dr. Katja Mayer https://rri.univie.ac.at https://www.katjamayer.net Old address: School of Governance, Technical University Munich Computational Social Science and Big Data katja.mayer@hfp.tum.de