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This article was written on 03 Apr 2009, and is filled under News, Workshops.

DataViz & Processing workshop with Karsten Schmidt (toxi)

Data Visualization & Processing Workshop, by Karsten Schmidt (toxi)
Workshop pictures here www.flickr.com/groups/cadadataviz/ and workshop twitter here twitter.com/cadadataviz.

20, 21, 22 Abril, 09 – Lisboa
(ENGLISH DOWN)

Os dados estão em toda a parte ao nosso redor.

Através dos actuais desenvolvimentos tecnológicos e da digitalização, cada vez mais aspectos da nossa vida estão sujeitos ao escrutínio, tornando-se, por isso, mensuráveis.

O rápido aumento de dados publicados online constitui um desafio político, cultural e artístico tanto para a sociedade como para o indivíduo. Esta tendência é acelerada pela crescente introdução de sistemas de computação ubíqua em vários aspectos da nossa vida quotidiana.

O efeito destas tecnologias ubíquas e locativas está ainda por compreender, assim como os seus “efeitos secundários” nos nossos comportamentos e na forma como vivemos as nossas vidas.
Tecnologias de tracking como o GPS são integradas em telemóveis, câmaras e carros. A uma escala mais local, a crescente utilização da tecnologia RFID permite uma identificação fiável e de longo alcance, de objectos e pessoas.
Contudo, cada uma destas tecnologias cria a oportunidade para monitorizar dados que, silenciosamente, estão a ser consumidos por empresas e governos por todo o mundo.

Para além disto, os media sociais estão a aumentar a sua popularidade.
Também aqui a tecnologia e os algoritmos por detrás das várias redes sociais estão inteiramente baseadas na nossa vontade de partilhar cada vez mais e mais informação, que considerávamos privada, com terceiras pessoas.

É do nosso interesse que cada um de nós obtenha maior literacia em relação aos dados e às tecnologias que os processam. Muitos dos dados disponíveis podem não só dar-nos novas luzes sobre quem somos mas permitem também que uma parte mais vasta da população tenha um papel mais activo na discussão de tópicos como a privacidade e a protecção de dados.

A visualização de dados é um campo relativamente novo do design, no entanto é um campo muito necessário. Num mundo de tamanha abundância de dados precisamos de novas formas de gerir, combinar, analisar e visualizar esses dados.

Precisamos de explorar novas linguagens visuais e outras formas de expressão que nos ajudem a lidar, encontrar caminhos e ganhar novas perspectivas.

Durante três dias de workshop
vamos explorar a natureza dos dados bem como várias técnicas para os visualizar. Vamos focar-nos no trabalho com Processing mas vamos também utilizar outras ferramentas e linguagens opensource mais ajustadas a certas partes do processo criativo de visualização.

Sobre o formador
Karsten Schmidt (aka toxi) desenvolve software, é designer e artista com um interesse particular em design computacional. Durante os últimos 15 anos tem estado criativamente envolvido numa vasta série de disciplinas digitais. Através do seu estúdio PostSpectacular explora activamente as possibilidades de intersecção entre o design, a arte e o desenvolvimento de software. Colaborando com outros criativos num ambiente transdisciplinar, a sua filosofia de design encara as ideias como software, o que depois informa todas as outras facetas de cada projecto. Quando não está a criar, Toxi viaja pelo mundo para consultar empresas de desenvolvimento e comunidaddes de design acerca da utilização de ferramentas colaborativas e opensource. Karsten tem sido uma peça fundamental para o projecto Processing.org a para vários livros sobre programação de design gráfico, os seus trabalhos têm sido publicados na imprensa e expostos internacionalmente, incluindo no MoMA, em Nova York.
postspectacular.com

Conteúdos
Introdução & teoria:
Discussion of various examples & popular techniques
Creating & transforming structured data
Linked data, graph theory, data relationships
Overview of popular dataformats and how to choose
Metaphor and conceptual representation & framing, qualitative vs. quantitative
Data space vs. presentation space
Multi-dimensionality & mapping inputs to outputs
Many-to-many mappings: Coordinate systems, space, topology, time, colour, size, shapes
Information theory: Inputs, Process, Output
System architecture: Model-View-Controller
Signal-to-noise ratio, filtering, pre-analysis
Aggregating data from multiple sources
Gestalt theory & Synaesthesia basics
Transposing data into other domains (e.g. sonification)
Level of detail
Praxis
Re-coup of Processing basics & introduction to various libraries
Working with XML/JSON
Transforming data with XSLT
Working with webservices/APIs (Flickr, Twitter, Pachube, Guardian OpenPlaform etc.)
Recording data in a local database
Using Python/PHP to request & store data

Pré-requisitos
Os participantes interessados neste workshop devem ter já algum conhecimento e prática de trabalho com código. Conhecimento de Processing ou linguagens equivalentes. Os partipantes deverão trazer para o workshop o seu equipamento (computador).

Datas e Local:
20,21,22 Abril (10-18h), Lisboa
Nas instalações do Clube Português de Artes e Ideias, Largo Rafael Bordalo Pinheiro, 29, 2º (ao Chiado).

Preço: 250 Euros (21 Horas)
Sócios do Clube Português de Artes e ideias têm um desconto de 5%

Inscrições
Envie um email para sofiaoliveira AT cada1.net

ENGLISH

Data is everywhere around us.

Through the ongoing technological developments and digitalization, ever more aspects of our lives become subject to scrutinizing and so become measurable. The rapidly increasing amount of data being published online constitutes great political, cultural, artistic and design challenges to society and individuals alike. This trend is accelerated by the increased introduction of ubiquitous computing systems into various aspects of our everyday.

Persuasive and locative technologies in particular have an yet to be fully understood effect (as well as side effects) on our behaviours & the way we live our lives, now supplemented with these new means. Tracking technologies like GPS are integrated into existing products like mobile phones, cameras, cars. In a similar vain, but on a more local scale, RFID is increasingly being used to enable reliable, passive long range identification of objects and persons. However, each of these technologies creates an opportunity for monitoring and so ever more data trails,which are being silently aggregated by corporations & governments worldwide.

In addition social media is on a constant rise in popularity. Here too, the technology and algorithms behind the various social networks are entirely based on our willingness to share more and more previously private data with 3rd parties. In that light, data almost could be considered a meta-medium too, since it creates spaces around any other medium.

Furthermore these different data spaces can be combined and by doing this we can extract and transform data into new information and gain an exponentiallylarger amount of insights. So when we talk about data visualization, we are actually referring not just to the presentation of the available data, but even more so to the guided act of visualizing the various relationships between those data.

It should be in our personal interests to obtain a greater literacy of the nature of data and data processing technologies. Much of the available data would not only enable new insights for ourselves, but too actually allow wider parts of the population to play a more active part inthe discourse around related topics, incl. privacy & data protection.

Data visualization of large datasets still is a relative young field of design, but it also is a very necessary one. In this world of absolute data abundance we need new means to manage, combine, analyse & view these. We need to explore new visual languages and other forms of expression to help us cope, find patterns and gain new insights or even just retain an overview of various topics.

Scope
Over the three days of this workshop we will explore the nature of data as much as various techniques to visualize it. We will focus on working with Processing, but also make use of other opensource tools & languages better suited for other parts of the visualization creation process. Since the workshop only lasts for 3 days, you’re expected to have a good understanding of at least the basic Processing concepts & programming constructs. That way we can focus better on the actual topic at hand.

In order to give you a thorough understanding of the whole field, we will also cover a large amount of related theory, both technical & design. All topics will be supported by examples and exercises, building on each other iteratively. The last day of the workshop will be largely reserved for 1:1 teaching & the creation of a small project utilizing your skills just learned. You can either work as team or individually.

About Karsten Schmidt
Karsten Schmidt (aka toxi) is a software developer, designer and artist with particular interest in computational design. For the past 15 years he’s been laterally involved in a wide range of digital disciplines. With his studio PostSpectacular, he is actively exploring possibilities at the intersection of design, art and software development. Collaborating cross-disciplinary with other creative minds, Karsten’s design approach is based on treating ideas as software at the heart, which in turn informs all other facets of each project. When not creating, he travels the world consulting companies and developer & designer communities about open source and employing collaborative tools. Karsten has been a key contributor to the Processing.org project and to various books about programming and graphic design, and his work has been featured in the press and exhibited internationally, including the MoMA, New York.
postspectacular.com

Topics covered
Discussion of various examples & popular methods, techniques, practitioners
Linked data, graph theory, data relationships, database basics
Creating & transforming structured data
Overview of popular data formats and how to choose
Metaphor and conceptual representation & framing, qualitative vs. quantitative
Data space vs. presentation space
Multi-dimensionality & mapping inputs to outputs: 1D, 2D, 3D, 4D… nD
Many-to-many mappings: Coordinate systems, space, topology, time, colour, size, shapes
Information theory: Inputs, Process, Output
System architecture: Model-View-Controller
Signal-to-noise ratio, filtering, pre-analysis
Aggregating data from multiple sources
Gestalt theory & Synaesthesia basics
Transposing data into other domains (e.g. sonification)
Managing level of detail
Literal presentation vs. artistic approach, using data as input for artworks
Re-coup of Processing basics & introduction to various libraries
Popular toolkits
Working with RSS/XML/JSON
Transforming data with XSLT
Regular Expressions
Working with webservices/APIs
Mapping geo data
Fluidity of data: streams vs. crystals (Realtime data vs. recorded data)
Data filtering (normalizing, scaling, projection, grouping, averaging etc.)
Recording data in a local database
Using Python/PHP as proxy to request & store data
Working with colour
Adding interactive controls
Exporting the visualization (PDF, 3D mesh, API, e.g Google charts)

Dates and Place:
20,21,22 April (10-18h), Lisbon
At Clube Português de Artes e Ideias, Largo Rafael Bordalo Pinheiro, 29, 2º (Chiado).

Price: 250 Euros (21 Hours)
Members of CPAI have a 5% discount.

Inscriptions
Please send email to sofiaoliveira AT cada1.net

Parceiros | Partners

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