Digital Media Winter Institute 2019
SMART Data Sprint: Beyond visible engagement
28 January – 1 February, 2019.
9:30 – 17:30 I #SMARTdatasprint I Research Blog I
Facebook Group: SMART Data Sprint I @iNOVAmedialab
Universidade Nova de Lisboa I NOVA FCSH I iNOVA Media Lab
˚ ˚ SMART Data Sprint ˚ ˚
SMART Data Sprint is an intensive hands-on work, driven by online data and digital methods. We adopt experimental and inventive ways of reading, seeing and analysing platform data, with the aim of responding to a set of research questions. For one week, participants will have the chance to attend keynote lectures, short talks, and parallel sessions of practical labs. After that, experts and scholars will invite participants to join projects and work in a collective problem.
We are pleased to announce that Richard Rogers (Professor of New Media & Digital Culture, Media Studies, University of Amsterdam) is joining SMART Data Sprint 2019 with a keynote talk and practical labs. Rogers is Director of Govcom.org Foundation as well as the Digital Methods Initiative, and the author of Information Politics on the Web (MIT Press, 2004), awarded the 2005 best book of the year by the American Society of Information Science & Technology (ASIS&T) and Digital Methods (MIT Press, 2013), awarded the 2014 Outstanding Book of the Year by the International Communication Association (ICA).
SMART Data Sprint is open mainly to doctoral students and scholars. Master students, non-academics, developers, research professionals, data journalists, designers, and passionate about data and platform-led studies are also welcome. Our goal is to collectively achieve concrete outcomes, creating the opportunity for knowledge production and providing an environment in which participants can equally contribute and benefit from one another’s expertise. We believe that: 1) new approaches for social media research can be collectively built and designed through this experimental and exploratory process, and advanced by digital methods; 2) the data sprint approach can trigger new possibilities for ongoing digital research, as well as provide descriptions and a broad/narrow view on the subject of study.