[@OKau] Call for applications » SMART Data Sprint 2020

[Smart Inovamedialab]

Digital Media Winter Institute 2020 | iNova Media Lab

SMART Data Sprint | Digital Methods: theory-practice-critique

27 - 31 January 2020 I  9h30 - 18h

Universidade NOVA de Lisboa

Lisbon, Portugal

We are pleased to invite you to SMART Data Sprint
<https://smart.inovamedialab.org/> 2020!

The fourth edition of SMART Data Sprint brings together an international
program with keynotes and practical labs by Tommaso Venturini (médialab of
Sciences Po Paris) and Bernhard Rieder (University of Amsterdam). Venturini
is a researcher at the CNRS Centre for Internet and Society, an associate
researcher of INRIA and a founding member of the Public Data Lab. His
keynote talk and practical labs are going to explore visual network
analysis. Rieder is an associate professor in New Media and Digital Culture
at the University of Amsterdam and a researcher at the Digital Methods
Initiative. He will give a keynote on mapping value(s) in artificial
intelligence (AI). The SMART Data Sprint is part of the Digital Media
Winter Institute 2020 (DMWI).

In the first week of DMWI, from 27 to 31 January 2020, participants from
around the world will come to Lisbon to attend keynote lectures, short
talks, parallel sessions of practical labs and join applied research
projects. Experts and scholars will invite participants to work
collectively on issues involving internet memes and platform
censorship, Anti-Feminist
and Anti-LGBT Discourses, Method maps and Cross-Platform Digital Networks.
Other opportunities for hands-on experimentation with methods are on the
schedule with the following practical labs:

» YouTube Research & Ranking Culture

» Gephi for exploring digital networks

» Trends Studies & Digital Methods for Innovation

» Raw Graphs for data exploratory analysis

» Getting to know a list of data extraction tools (and what to do with it!)

» Getting to know a list of text analysis tools (and what to do with it!)

» Querying App Stores

» Visual Network Analysis

» Images Networks

» Visual social media analysis

» Vision APIs

To participate in the SMART Data Sprint 2020 is necessary to submit an
application <http://bit.ly/SMARTdatasprint2020>, until January 13, and pay
the attendee fee. All information can be retrieved in the iNova Media Lab's
website <http://inovamedialab.org/winter-institute-2020> or the
#SMARTdatasprint research blog
<https://smart.inovamedialab.org/2020-digital-methods/>. Please note that
the SMART Data Sprint is also offering partial scholarships.

Also scheduled for the Digital Media Winter Institute 2020, from February 3
to 6, the workshop "Tracking, visualizing and accounting for the networks
of (dis-)information with the web crawler Hyphe", taught by Mathieu Jacomy
will be promoted. Jacomy is a techno-anthropologist at the University of
Aalborg, TANTLab, a former researcher engineer at médialab of Sciences Po
Paris and co-founder of Gephi software. The proposal of the workshop is to
study and apply the Hyphe webcrawler and understand both information and
misinformation issues on the web. Participation in the workshop also
requires prior registration <http://bit.ly/DMWI-HypheWorkshop> by January
20, 2020.


For further information, please access the links:
http://smart.inovamedialab.org/2020-digital-methods
<https://smart.inovamedialab.org/2020-digital-methods/>

http://smart.inovamedialab.org/workshops/2020_networks-of-disinformation
<https://smart.inovamedialab.org/workshops/2020_networks-of-disinformation/>

Learn more about the data sprint approach in this video: #SMARTDataSprint
<https://www.youtube.com/watch?v=bveMpEtAvug&index=1&list=PLcGiWiKtsR0_BTLB4t_WH0iod-hXtX0eU>

On behalf of organization committee

iNOVA Media Lab <http://inovamedialab.org/> I NOVA FCSH I Universidade Nova
de Lisboa

SMART ˚ ˚ Social Media Research Techniques I #SMARTDataSprint
<https://smart.inovamedialab.org/>

-- 
SMART ˚ ˚ Social Media Research Techniques I #SMARTDataSprint
<https://smart.inovamedialab.org/>
iNOVA Media Lab <http://inovamedialab.org/> I NOVA FCSH I Universidade Nova
de Lisboa
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