[ciência aberta][reminder] CFA Digital Media Winter Institute 2020 | 27 JAN — 06 FEB | Lisbon, Portugal

Smart Inovamedialab smart.inovamedialab em fcsh.unl.pt
Domingo Dezembro 15 20:21:32 UTC 2019


[reminder] CALL FOR APPLICATIONS

Digital Media Winter Institute 2020 | SMART Data Sprint 2020

27 January - 06 February, 2020

Universidade NOVA de Lisboa

Lisbon, Portugal



Digital Media Winter Institute has annually gathered a network of
international researchers, with different backgrounds and expertise,
interested in doing investigations from the perspective of digital methods.
New media researchers, journalists, developers, data designers, digital
methods experts, sociologists, data scientists and more are meeting in
Lisbon to work and improve their skills, in theory, practice and critique
of digital methods.

The program of #DMWI2020 brings the fourth edition of #SMARTDataSprint with
an international program: keynotes and practical labs by Tommaso Venturini
(médialab of Sciences Po Paris) and Bernhard Rieder (University of
Amsterdam). 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).



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

» Charting Collections of Connections in Social Media: Creating Maps and
Measures with NodeXL

» Gephi for beginners

» How to work with spreadsheets

» Shaping questions for Trends Studies through Digital Methods

» Raw Graphs for data exploratory analysis

» Data mining and visualisation with R

» Getting to know data extraction + text analysis tools

» Visual Network Analysis

» Building Image-hashtag Networks

» Visual social media analysis

» Studying visual social media through Vision APIs

» Data Beautification

» Natural language processing tools for data analysis and extraction

» When DataViz is ugly



To participate in the SMART Data Sprint 2020 is necessary to submit an
application, until January 13, and pay the attendee fee. 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
by January 20, 2020.





Application #SMARTDataSprint: <http://bit.ly/SMARTdatasprint2020>

Application deadline: January 13, 2020



Application Workshop Tracking, visualizing and accounting for the networks
of (dis-)information with the web crawler Hyphe: <
http://bit.ly/DMWI-HypheWorkshop>

Application deadline: January 20,  2020



Complete info: <http://smart.inovamedialab.org
<http://smart.inovamedialab.org/2020-digital-methods>>





On behalf of  #SMARTDataSprint 2020 organization committee,



Ana Marta M. Flores

iNOVA Media Lab | NOVA FCSH | Universidade Nova de Lisboa

SMART ˚ ˚ Social Media Research Techniques


-- 
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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