Two references I often give during my talks/courses:
The 6 words novels (already evoked in an earlier post)
&
The “Meanwhile” video, close to a “what-if” routine
[youtube https://www.youtube.com/watch?v=YmokqDrIBKg]
Two references I often give during my talks/courses:
The 6 words novels (already evoked in an earlier post)
&
The “Meanwhile” video, close to a “what-if” routine
[youtube https://www.youtube.com/watch?v=YmokqDrIBKg]
Next steps of the project here 0. Hypothesis, 1.1 Discovering, 1.2 Defining & Developing, 1.4 Experiment & Feedbacks.
I’ve been commissioned by the head of a research department at INRA to propose design artefacts that help scientists take new perspectives on their work. The aim is to discuss social, cultural, economical, juridical, ethical implications of these researches.
The main topic is: “Challenges and Opportunities of the BigData for Predictive Biology”. In clear, how does massive statistics turns diagnostics into prognostics – based as much on DNA sequencing as on more general users datas. The targets are scientists and practicians from the fields of medicine and agronomy (plant and animals). The deliverable is a series of scenarios materialising relevant problematics/controversies in the field, presented as a solo poster session aside a one day conference on November 28th 2014.
We proposed 4 posters covering 4 main topics related to BigData and Predictive Biology. Thanks to a questionnaire we collected participants’ impressions. Questionnaires, informal interviews, audio and video recordings of the situation were used mainly to identify the next public where to show this itinerant project.
Team = Charles Chalas (discovery phase), the Sociable Media group (development phase), Jeremie Lasnier (defining and delivery phase), Fred, Juste & Annie (delivery phase).
Here is the questionnaire + the results + the 4 posters.
Subtlety is a key component. The audience of the conference had voluntarily access to a framed portion of informations, under the shape of these posters. The subject is so vast and the sub-problematics are so numerous, that four scenarios – containing specific trails to specific issues – were the best way to let scientists engage with our approach. Indeed, a poster combines one general topic and clues to sub-problematics. Therefore participants would recognise one or another sub-issue depending on their own sensitivity.
Why hiding these informations (the articulation of problematics between and within each scenarios, plus the path that lead to the generation to these ideas)? Because they were not generated by (or in close collaboration with) scientists. We believe our scenarios to still highlight relevant problematics for biologists. However, if we would have provide those hidden details, we believe participants would pay less attention to the consequences of these scenarios into society and the probable link to their research. Indeed, when we shown them in private, one participant sought to correct our “designer point of view on a biology topic” in terms of precision and scientific validity.
About these details, we could organise the sub-problematics suggested by these scenarios into several dimensions, like a “design-space”. However, in order to respect the medium used during the conference and to reveal the suggested problematics, we just updated the posters, as you will see now.
Next steps of the project here 0. Hypothesis, 1.1 Discovering, 1.3 Delivering, 1.4 Experiment & Feedbacks.
I’ve been commissioned by the head of a research department at INRA to propose design artefacts that help scientists take new perspectives on their work. The aim is to discuss social, cultural, economical, juridical, ethical implications of these researches.
After collecting an enormous amount of data I went through a processing phase where some colleagues and I tried to define more tightly the topic (we could call this reframing the brief, or building a ‘design-space’). Then we began developing ideas. Here are pictures of the key steps of this process.
There are three main problems in this project: a double complexity (span and depth) and the inter-dependency of all these elements as a complex system.
• The topic cover a large span from biology (plants, animals, humans) to computer science (software, hardware), linked by statistics & prediction;
• For each sub-topic the depth of actors involved is comparable to russian puppets, including many levels of sub-problematics (e.g. from society to family, to a human, to organs, to tissues, to cells, to molecules, to atoms. We could do the same in the bio-informatics sub-topic);
• In each of these layers every actors are inter-related, each layers is also inter-related, these topics are therefore like a giant ecosystems composed of sub-ecosystems.
The mission here is to identify relevant problematics in the domain. Different ways of orgainsing this complexity were therefore used to grasp a sense of understanding of the issues involved. For instance, Latour‘s actor network theory was a source of inspiration when tying to list the series of actors surrounding a tumor. I therefore tried to draw “the path” that takes a tumor (among actors) when a patient gets sick / gets a treatment. We could do the same with actors working around a piece of hardware on a computer dedicated at deep-learning. We could also find more theoretical inspiration in complex system studies.
The span of complexity of this topic, from biology to computer science and statistics
I therefore summarise the topic with the following text in order to introduce a team workshop.
One of the design steps we took was to list existing practices potentially associated to big data & biology (thanks to the cards shown previously). Here is a non exhaustive list of them. (Thanks Emeline, Ferdinand, the Sociable Media team for your help)
More pictures on the ideas development here, soon. While waiting here is just some raw pictures.
Thanks to the sociable Media Team, Charles Ultrazapping and Jeremie Lasnier for their help.
Next steps of the project here 0. Hypothesis, 1.2 Defining & Developing, 1.3 Delivering, 1.4 Experiment & Feedbacks.
Design fiction for geneticists.
I’ve been commissioned by the head of a research department at INRA (Institut National de Recherche en Agronomie) to provide design artefacts that help scientists take new perspectives on their work. From the client side, the aim is also to discuss social, cultural, economical, juridical, ethical (etc.) implications of these researches and to spark discussions. From our side, the aim is to allow this project to circulate along different publics (mediation spaces, audiences, purposes).
Our hypothesis is that the efficiency and impact of design fiction’s generated discussions would be greater if its public would be constructed bottom-up, based on participants recommendations. At least, it is a first way to formulate it.
The main topic is: “Challenges and Opportunities of the BigData for Predictive Biology”. In clear, how does massive statistics turns diagnostics into prognostics – based an two kinds of datas: DNA sequencing and people & things’ data in general.
The targets are scientists and practicians from the fields of medicine and agronomy (plant and animals). Mathematicians, bio-informaticians, statisticians, etc. might be part of the target later in the project.
The deliverable is a series of scenarios materialising relevant problematics/controversies in the field, presented as a “solo poster session” aside Les journées One Health Îles-de-France‘s one day conference on November 28th 2014.
Find more details bellow (As the client is french, lot of the content is not in English. For more details contact maxmollon[at]gmail[dot]com).
The brief given to me.
“Pour la conférence suivante, il est possible qu’un doctorant en Design nous propose un objet de représentation de l’impact du big data en biologie afin de voir comment l’objet cristallise des idées, en provoque de nouvelles, et comment les discussions s’embrayent atour de ça.” (extracted from an email sent by the client to collaborators)
Find the text announcing the conference OneHealth here.
In order to reframe the brief I first went through a “discovering” phase where I explored different kind of information: basic info given by the client, documents overviews on the topic; vulgarisation of the topic; very precise details (e.g. scientific papers); and general inspiration. Find below some preview of them.
(Read Micheal Jordan on BigData here)
Links referenced by these images (and a some additional ones):
http://www.examiner.com/article/human-euthanasia-the-debate-the-arguments-for-both-sides
http://www.mckinsey.com/insights/business_technology/big_data_the_next_frontier_for_innovation
http://www.chuv.ch/biobanque/bil-article-mooser
http://media.unil.ch/podcast/unil/eprouvette_cp/2010_eprouvette_adds_on/2010_eprouvette_adds_on_h.html
http://www.edwardtufte.com/bboard/q-and-a-fetch-msg?msg_id=0003Kx
http://zettanalytics.blogspot.ch/2013/05/tufte-on-big-data-and-thinking-eye.html
Lack of skilled people – McKinsey
This last 4 pictures represent a the length of the ACTG sequence collected and printed in a book for our shortest chromosome (the n°21), materialising how much big is the paradigm of big data.
For more on this ehibition: http://www.museedelamain.ch/fr/101/A-voir (PDF leaflet)
Most of the precise and useful content were collected during interviews I made in Paris and Lausanne (e.g. A team working on the intestinal microbiot; the director of a medicine university; a researcher and veterinary; a computer scientist; a machine learning PhD student; a geneticist PhD student; a responsible of french cooperatives for meat production; “l’eprouvette” public platform for mediating science issues in Lausanne; and a lot of more people informally.
Here are a list of more links to dig into this topic:
Genomic & data
Browser d’ADN aperçu
Browser d’ADN
Pleins de data
Adn d’Ebola
Encyclopedie d’éléments d’ADN
Graph d’ADN séquencé
Q&A website for Sequencing
Mini séquenceur ADN (taille de poche)
Minion sequencer
Microfluidics and a video
“It’s pretty likely that any woman who has been pregnant is a chimera”
Data & society
Big data against you
Data VS politics
BigData Analysis Machine learning
Quantified self: Mother
Gouvernance Algorithmique – And this – and This
The Automatic society Bernard Stiegler
Data & Analysis
Data mining
Anti data mining
Sequencing industry and this, DnaVision
BIGdata on IEEE
http://googleresearch.blogspot.ch/2013/03/learning-from-big-data-40-million.html
http://www.nature.com/nature/journal/v498/n7453/full/498255a.html
http://10times.com/big-data-biology
Data land a design fiction from Ian Bogost
Genomics & society
http://www.espace-ethique.org
Conf michel Serres https://duckduckgo.com/?q=conference+michel+serres+adn
Seminaire sur le transhumanisme
HGP Human Genome Project http://web.ornl.gov/sci/techresources/Human_Genome/index.shtml
HGPhttp://www.genome.gov/Pages/Education/Modules/BluePrintToYou/Blueprint7to8.pdf
HGPhttp://web.ornl.gov/sci/techresources/Human_Genome/index.shtml
HGPhttp://ghr.nlm.nih.gov/handbook/hgp/description
Redesign testing machines http://www.fastcodesign.com/3038240/yves-behar-gives-genome-testing-a-makeover
Future testing machines http://www.fastcoexist.com/3038178/the-latest-xprize-winner-can-run-hundreds-of-lab-tests-with-a-single-drop-of-blood
Gene, determinism: http://www.youtube.com/watch?v=HPlHLAS4gCU
Transhumanisme: https://www.youtube.com/watch?v=B-V3UG3YTok
Future of Health
http://www.liberation.fr/livres/2014/10/01/entre-doctes-et-docteurs_1112653
D4D lien de Remy http://www.d4d.orange.com/en/home
2030 public health reporthttp://t.e2ma.net/message/zhx2f/3sctkk
Other Medical innovations http://www.fastcoexist.com/3037592/futurist-forum/10-medical-innovations-poised-to-make-us-healthier-in-2015
Transhumanism
Operating room
http://www.brainpickings.org/wp-content/uploads/2012/11/futureevents_giorgialupi_large.jpg
Future of health http://www.youtube.com/watch?v=Adk1-8MgtEg
IBM health future: http://www.youtube.com/watch?v=pHqtrrTaJKY
Micorosft health future: http://www.youtube.com/watch?v=6aKNK7OTHKs
Prediction & probability
Improbable
Fail prediction
Outil pour prédire le futur http://www.envisioning.io/futuredeck/
Future of health http://www.envisioning.io/health
Technos http://www.envisioning.io/horizons
technos encore http://envisioningtech.s3.amazonaws.com/envisioningtech.m.png
http://cdni.wired.co.uk/1280×1920/s_v/Silver—ENvisioning-Technology.jpg
http://www.iftf.org/healthawareworld/
http://www.iftf.org/our-work/global-landscape/
Design fiction
Gastronomie
Cohen & Van Balen Pigeon/savon
Quantified Self chez Disney https://medium.com/re-form/welcome-to-dataland-d8c06a5f3bc6
Design fiction catalogue http://tbdcatalog.com/ +http://tbdcatalog.com/#samples
MOMA violence http://designandviolence.moma.org/
Cards game http://www.fastcoexist.com/3031375/this-game-harnesses-your-creativity-to-forecast-the-future
un mec qui mélange tout
Dunne talk http://vimeo.com/65074246
ScieFie transform society
Nova on the same topic
idées: What if robots could draw portrait according to DNA expression simulation + statistics based on randomness + parents environment evaluation (and astrology?) ?
More links not ordered
http://www.ericsson.com/news/141121-a-tale-of-many-cities_244099435_c
http://genomicgastronomy.com/work/publications/beans-book/
http://www.demotivateur.fr/article-buzz/plus-de-la-moiti-de-la-population-animale-de-la-terre-a-disparu-au-cours-des-40-derni-res-ann-es-le-constat-est-dramatique–1305
http://www.wired.com/2014/11/device-diagnoses-hundreds-diseases-using-single-drop-blood/
http://tempsreel.nouvelobs.com/sciences/20141114.OBS5090/ces-biohackers-qui-jouent-aux-lego-avec-l-adn-des-bacteries.html
http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0112430
http://www.getpocket.com/a/queue/
http://superflux.in/files/tarrotcard_deck.pdf
http://superflux.in/work/tarotcards
http://www.liberation.fr/livres/2013/02/13/la-bourse-en-chair-et-en-codes_881616
http://we-make-money-not-art.com/archives/2014/10/terminator-studies.php#.VHDhKlfF_gV
http://terminatorstudies.org/
http://acces-s.org/agenda/21/exposition
http://www.liberation.fr/culture/2014/11/21/le-freak-show-des-algorithmes-financiers_1147073
http://www.mgps.eu/index.php?id=homepage
http://www.jove.com/
http://www.ericsson.com/news/141121-a-tale-of-many-cities_244099435_c
http://journal.frontiersin.org/Journal/10.3389/fgene.2014.00092/full
Sélection d’embryon http://dk.cryosinternational.com/media/extendedprofiles/1064409176940.pdf
Le design d’enfant http://bit.ly/1wePwd7
Machines assisted clinical decisionshttp://spectrum.ieee.org/tech-talk/robotics/artificial-intelligence/at-the-mayo-clinic-ibm-watson-takes-charge-of-clinical-trials
Donneur d’ovul http://www.acaivf.com.au/index.php?option=com_content&view=article&id=169:ovulinduction
Art et techno sciences http://olats.org/
Emission reproduction et marchandisation du vivant
http://www.franceculture.fr/emission-terre-a-terre-reproduction-artificielle-et-marchandisation-du-vivant-2014-09-27
Créationniste qui a changé d’avis
http://www.huffingtonpost.com/david-macmillan/bill-nye-creation-debate_b_4775207.html
(Pas design fiction) Design VS sciencehttp://bitsofhci.com/design-science-art-and-craft-among-facts-and-abstractions/
https://en.wikipedia.org/wiki/Big_data
http://www.ibm.com/big-data/us/en/
http://www.bioportfolio.com/search/searchpost/?sa=Search&cx=partner-pub-5605987276620227%3A5227469970&cof=FORID%3A10&ie=UTF-8&q=preditive
https://www.youtube.com/results?search_query=DNA+microfluidics
http://www.nature.com/ng/journal/v39/n3/abs/ng1966.html
http://www.predictivepatterns.com/
http://igm.ucsd.edu/research/index.shtml
http://bix.ucsd.edu/bioalgorithms/problems/03_asmt.htm
http://www.ledevoir.com/societe/le-devoir-de-philo/408530/le-devoir-de-philo-pas-de-panique-avec-les-meres-porteuses
https://mobile.twitter.com/Diabetes_bio/status/88342427529777153?p=v
http://www.designboom.com/design/fuseproject-fluidigm-single-cell-testing-11-11-2014/
http://www.nbcnews.com/tech/innovation/what-perfect-human-health-google-wants-map-it-n170486
http://ignoranceisfutile.wordpress.com/2008/08/07/googles-dna-bio-piracy-federal-dna-databanks/
http://www.liveleak.com/view?i=e1d_1355338898
http://www.businessweek.com/stories/2008-04-18/google-wants-to-index-your-dna-toobusinessweek-business-news-stock-market-and-financial-advice
http://www.lifetechnologies.com/fr/fr/home/life-science/sequencing/sanger-sequencing/sanger-dna-sequencing.html
http://oceanicscales.com/about/
http://en.wikipedia.org/wiki/United_Kingdom_National_DNA_Database
http://en.wikipedia.org/wiki/National_DNA_database
http://www.dnavision.com/
http://powerlisting.wikia.com/wiki/DNA_Manipulation
––––
http://www.nbcnews.com/tech/innovation/what-perfect-human-health-google-wants-map-it-n170486
http://ignoranceisfutile.wordpress.com/2008/08/07/googles-dna-bio-piracy-federal-dna-databanks/
http://www.liveleak.com/view?i=e1d_1355338898
http://www.businessweek.com/stories/2008-04-18/google-wants-to-index-your-dna-toobusinessweek-business-news-stock-market-and-financial-advice
http://www.iftf.org/healthawareworld/
http://www.iftf.org/our-work/global-landscape/
A project from Auger-Loizeay on speculation, prediction and big data (but not on biology).
Real Prediction Machines (Auger-Loizeau with Alan Murray and Subramanian Ramamoorthy)
(see project description below)
—
New project to be exhibited at the Crafts Council London this september:
Modern day fortune-telling is far-removed from the mystical readings of natural and celestial phenomena it once was.
Today it is all about data.
Emerging from research into artificial intelligence and cybernetics post-WW2 and increasingly made possible by an exponential growth of available data via digital networks and sophisticated sensors, prediction is fast becoming a life-changing science. The institutions of finance, such as trading, insurance and gambling are already inexorably linked to prediction algorithms. More recently we have seen a shift into online retail – Amazon.com for example has just gained a patent for ‘anticipatory shipping,’ this initiates the delivery process before the customer has clicked the purchase button. All of these systems routinely use data provided by people going about their normal (and sometimes private) business.
This project explores how data and algorithms could be reclaimed for personal use – individuals can select a specific event to be predicted such as a domestic argument; the likelihood of ones own death or the chances of a meteor strike. A service provider then determines the necessary data/sensory inputs required for an algorithm to predict the event. The output from the algorithm controls a visual display on the prediction machine, informing the owner if the chosen event is approaching, receding or impending.
And here is another design fiction project from Ian bogost about quantified seld at Disney Land
Data land a design fiction from Ian Bogost
This research project starts on the corner of a coffee table with my PhD supervisor. It starts with an intuition, here formulated into hypothesis: “The efficiency and impact of design fiction’s generated discussions would be greater if its public would be constructed ‘bottom-up’, based on participants/audience recommendations.”
Next steps of the project here 1.1 Discovering, 1.2 Defining & Developing, 1.3 Delivering, 1.4 Experiment & Feedbacks.
You’re looking for a tool?
biblio http://dirt.projectbamboo.org/categories/bibliographic-management
organization http://dirt.projectbamboo.org/categories/organization
scientific search http://dirt.projectbamboo.org/categories/search
mapping http://dirt.projectbamboo.org/categories/mapping
via evernote public notebook: “evernote for research”
Selection of tools:
http://ucrel.lancs.ac.uk/claws/
Parts-of-Speech (POS) tagging software – the classification of words into one or more categories based upon its definition, relationship with other words, or other context. – See more at: http://dirtdirectory.org/resources/claws-tagger#sthash.04WzhFar.UoOT9vH6.dpuf
Cluuz is a search engine that shows not only links to related pages, but also entities (people, companies, organizations) and images that are extracted from within the search results. In addition to the results, Cluuz displays a tag cloud of the most relevant entities extracted from returned results, as well as a semantic graph view of a cluster of terms. – See more at: http://dirtdirectory.org/resources/cluuz#sthash.YydPnPBk.dpuf
http://www.cluuz.com/
Each week Altmetric captures hundreds of thousands of tweets, blog posts, news stories and other content that mention scholarly articles.
The Altmetric Explorer lets you monitor, search and measure conversations about your publications and those of your competitors. Use the Explorer to deliver insights, track mentions and measure levels of attention over time.
http://www.altmetric.com/aboutexplorer.php
http://www.altmetric.com/institutional-edition.php
I have been used to try and drop off many software and technics to organise my workflow. It is a kind of obsession that I document, I might end by writing something about it someday.
The new software I use: workflowy chrome app
And so far… I love its simplicity & user interface!
[youtube https://www.youtube.com/watch?v=CSmbnaPZVHE?rel=0&w=960&h=720]
The last one I used was http://www.actionmethod.com/product/online. I choosed after testing The list of the Retro-Planning Softwares I tested:
https://www.zoho.com/projects/
http://www.projectmanager.com/
http://www.easyprojects.net/
http://www.unmariageaorganiser.com/ (Yes I tested wedding planning tools)
http://www.missorganisator.com/fre/5/outils
[EDIT, 2014.08.12] If I don’t stick to workflowy, here is an alternative http://www.omnigroup.com/omnifocus/
Here are a bunch of image from the students production, all right reserved to the students.
Adrien et Vincent, OUT project
http://vincent-ricard.fr/O_U_T/
Telesthesia Project
By Paul Lequay & Noémie Nicolas
NESTream Project
By Schmitt Nicolas & a href=”http://alienor-fernandez.com/”>Fernandez Aliénor
IOI Project
By: Nicolas, Ségolène