Short explanation of a Model for collective intelligence based upon the socio-cognitive traits of individual members Active Inference

for - collective intelligence - properties of the higher level whole - that are missing in the lower level individuals that constitute it - example sports team - Jordan Hall

for - Jordan Hall - gedanken - collective intelligence of a group - Michael Levin & Jordan Hall conversation

for - Jordan Hall question - engineering an intentional social superorganism - collective intelligence - Michael Levin & Jordan Hall conversation

for - comparison - John Vervaeke - Vervaeke Foundation - collective intelligence dialogues - good alignment to Indyweb individual/collective gestalt - Deep Humanity

comparison - John Vervaeke - Vervaeke Foundation - collective intelligence dialogues - good alignment to Indyweb individual/collective gestalt - When he describes the mutually shared flow states where conversants discover collective intelligence as something that is phenomenologically present - it is a discovery of the intertwingledness between - individual and - collective - that is, the individual/collective gestalt described in Deep Humanity reference https://vervaekefoundation.or

Résumé de la vidéo [00:00:02][^1^][1] - [00:26:00][^2^][2] :

Cette vidéo présente une conférence sur l'intelligence collective, organisée dans le cadre de la semaine du cerveau et en partenariat avec l'école nationale supérieure des officiers sapeurs-pompiers d'Aix-en-Provence. Elle aborde les recherches sur l'amélioration de la performance des groupes, non seulement en termes d'efficacité et de créativité, mais aussi de bien-être des membres.

Points forts : + [00:02:17][^3^][3] L'intelligence collective * Estelle Michinoff, professeur d'université * Recherches sur la performance des groupes + [00:10:27][^4^][4] Définition d'une équipe * Communication régulière * Objectif commun + [00:14:31][^5^][5] Variété des collectifs * Équipes permanentes, autonomes, virtuelles * Dynamiques et temporaires + [00:16:45][^6^][6] Transformer une équipe d'experts * Intégrer les expertises individuelles * Créer une synergie de groupe + [00:18:11][^7^][7] Ingrédients d'une équipe experte * Diversité de compétences * Gestion des processus de groupe + [00:25:44][^8^][8] Facilitation du travail d'équipe * Techniques de facilitation * Animateurs pour dynamiser le groupe Résumé de la vidéo [00:26:01][^1^][1] - [00:50:57][^2^][2] : La vidéo aborde l'importance de la mémoire transactive et des modèles mentaux partagés dans les équipes d'urgence et de travail. Elle explique comment ces éléments contribuent à l'efficacité, à l'adaptabilité et au bien-être des équipes, en soulignant la nécessité de l'entraînement et de la coordination pour développer ces compétences.

Points forts : + [00:26:01][^3^][3] Modèle Big Five * Leadership efficace * Orientation d'équipe + [00:28:00][^4^][4] Communication * Boucles de rétroaction fermées * Modèle mental partagé + [00:29:00][^5^][5] Mémoire transactive * Système de traitement de l'information partagée * Connaissance des expertises au sein du groupe + [00:38:00][^6^][6] Entraînement des équipes * Développement de compétences collaboratives * Importance de la simulation et du débriefing Résumé de la vidéo 00:50:59 - 01:15:53 :

La vidéo aborde la mise en place de formations d'équipe dans divers contextes, tels que le sport, la santé et l'aéronautique, en mettant l'accent sur les compétences non techniques et collaboratives. Elle discute également de la gestion des équipes hétérogènes et de l'importance de la communication, des rôles clairs et de la coordination au sein des équipes.

Points forts : + [00:51:12][^1^][1] Exemples de team training * Mention de méthodes avancées dans le sport * Référence à des coachs comme Claude Onesta + [00:52:15][^2^][2] Team training dans la santé * Développement de méthodes comme le CRM santé * Importance des compétences collaboratives spécifiques + [00:53:42][^3^][3] Difficultés médicales et non médicales * Discussion sur les défis de la compréhension mutuelle * Importance de l'écoute au sein des équipes + [00:55:00][^4^][4] Gestion des équipes hétérogènes * L'hétérogénéité favorise l'innovation et la créativité * Importance de la diversité des points de vue + [00:57:08][^5^][5] Facteurs prédictifs d'une bonne équipe * Communication et partage de modèles mentaux * Rôles clairs et objectifs communs + [01:00:33][^6^][6] Expérience pratique dans les services d'urgence * Importance de l'adaptabilité et de la gestion du stress * Rôle crucial de l'attitude et de la formation des leaders Résumé de la vidéo 01:15:54 - 01:40:30 : La vidéo traite de la gestion de crise et de la prise de décision dans des situations complexes. Elle souligne l'importance de l'adaptabilité, de la collaboration et de l'innovation dans le processus décisionnel.

Points forts : + [01:16:02][^1^][1] Gestion de crise * Plans d'action et cycles de décisions * Importance de la progressivité et de l'échange régulier + [01:17:39][^2^][2] Adaptabilité face à la complexité * Solutions toutes faites inexistantes * Nécessité d'adaptation et de compétences techniques + [01:19:01][^3^][3] Impact des nouvelles technologies * Augmentation exponentielle de la complexité * Perturbation des modèles classiques de travail d'équipe + [01:23:04][^4^][4] Engagement et motivation * Recherche de sens et contribution à une réflexion commune * Importance de l'engagement des jeunes générations + [01:26:00][^5^][5] Méthodes ludiques en gestion de projet * Utilisation de jeux pour améliorer la concentration et la collaboration * Production accélérée et engagement des participants + [01:32:18][^6^][6] Réflexion sur les méthodes de travail * Questionnement sur les méthodes de management traditionnelles * Exploration de nouvelles approches pour la gestion de projets complexes Résumé de la vidéo [01:40:31][^1^][1] - [02:04:14][^2^][2]:

La vidéo aborde l'intelligence collective et la gestion des équipes dans des contextes complexes. Elle souligne l'importance des compétences non techniques, comme la capacité à s'engager et à collaborer, qui sont cruciales pour la réussite des réunions et la production efficace.

Points forts: + [01:40:31][^3^][3] L'importance des compétences non techniques * Essentielles pour la collaboration * Plus déterminantes que les compétences techniques + [01:46:01][^4^][4] Les méthodes d'animation * Casser les codes sociaux pour stimuler la créativité * Utiliser des jeux pour encourager la participation + [01:57:00][^5^][5] Gestion de la complexité * Nécessité d'adaptation face à des situations inédites * L'intelligence collective comme outil de résolution de problèmes Résumé de la vidéo 02:04:15 - 02:05:32 : La partie 6 de la vidéo aborde la nécessité d'évolution des compétences en gestion de projets et de nouveaux styles de management.

Points forts : + [02:04:15][^1^][1] Évolution des compétences * Nécessité de changement * Nouveaux managers + [02:04:26][^2^][2] Remerciements * Appréciation des éclairages * Partage d'enthousiasme + [02:05:03][^3^][3] Conclusion * Remerciements aux connectés * Rendez-vous l'année prochaine

Résumé de la vidéo [00:00:00][^1^][1] - [00:54:42][^2^][2]:

Cette vidéo est une table d'échange sur le thème de l'animation d'une communauté de pratique, de ses avantages, de ses défis et de ses astuces. Elle réunit quatre animateurs de différentes communautés de FADIO, un réseau de formation à distance interordres au Québec, ainsi qu'une chercheuse qui a étudié la participation dans une communauté de pratique. La vidéo est animée par Julie Bélan, responsable des communautés de FADIO.

Points saillants: + [00:00:36][^3^][3] Les raisons de devenir animateur d'une communauté * Le désir de faire avancer un groupe et de développer une expertise * La possibilité de continuer à apprendre et de faire du réseautage * L'opportunité de partager sa contribution et de se faire solliciter * Le besoin de réfléchir à sa pratique et de s'inspirer des autres + [00:09:17][^4^][4] Les défis de l'animation d'une communauté * La gestion du temps, de l'espace et des outils * La mobilisation et la fidélisation des participants * La reconnaissance et le soutien des directions * La diversité et la complémentarité des profils + [00:27:13][^5^][5] Les astuces pour animer une communauté * Partir des besoins et des intérêts des participants * Être flexible et adaptable à la dynamique du groupe * Varier les techniques et les stratégies d'animation * Produire quelque chose de concret et de transférable * Se former et se faire accompagner en tant qu'animateur

• for: quote, quote - intelligence, major evolutionary transition, MET, quote - collective inteillgence, quote - Michael Levin
• quote
  • all intelligence is collective intelligence

• author: Michael Levin

• comment

  • Major evolutionary transition (MET) are milestones in evolution in which collections of distinct individual life forms unite into one cohesive collection due to improved fitness and begin to replicate as a new individual unit
  • hence the Deep Humanity term individual / collective gestalt, developed to deal with the level of human organisms and the societies and groups they belong to, applies to evolutionary biology as well through the MET where a new higher level individual is formed out of a collective of lower level indivdiuals

• for: quote, quote - Michael Levin, quote - multicellular organism, quote individual/collective gestalt, individual/collective gestalt
• quote
  • If one zooms in, you find out that we are all in fact collective intelligence
• author: Michael Levin
• date: 2022
• source:https://www.youtube.com/watch?v=jLiHLDrOTW8

• for: superorganism, multi-level superorganism, collective intelligence, individual-collective gestalt, Michael Levin,

• title: Cell Intelligence in Physiological and Morphological Spaces

• author: Michael Levin
• date 2022
• comment
  • This is a talk on collective intelligence in unconventional spaces

https://www.supermind.design/database

Multi-user slip boxes anyone?

How common was this practice? in what areas?

Just as a trail of pheromones serves the function of a shared external memory for an ant colony, annotations can create a set of associative trails which serve as an external memory for a broader human collective memory. Further songlines and other orality based memory methods form a shared, but individually stored internal collective memory for those who use and practice them.

Vestiges of this human practice can be seen in modern society with the use and spread of cultural memes. People are incredibly good at seeing and recognizing memes and what they communicate and spreading them because they've evolved to function this way since the dawn of humanity.

i love this

This is a key statement: how we experience the world depends on the perceptual and cognitive lens used to filter the world through.

Francis Heylighen proposes a nondual system based on causal dependency relationships to serve as the foundation for distributed cognition.(collective intelligence).

https://hyp.is/go?url=https%3A%2F%2Fbafybeicho2xrqouoq4cvqev3l2p44rapi6vtmngfdt42emek5lyygbp3sy.ipfs.dweb.link%2FNon-dualism%2520-%2520Mind%2520outside%2520Brain%2520%2520a%2520radically%2520non-dualist%2520foundation%2520for%2520distributed%2520cognition.pdf&group=world

https://www.youtube.com/watch?v=bWkwOefBPZY

Some of the basic outline of this looks like OER (Open Educational Resources) and its "five Rs": Retain, Reuse, Revise, Remix and/or Redistribute content. (To which I've already suggested the sixth: Request update (or revision control).

Some of this is similar to:

The Read Write Web is no longer sufficient. I want the Read Fork Write Merge Web. #osb11 lunch table. #diso #indieweb [Tantek Çelik](http://tantek.com/2011/174/t1/read-fork-write-merge-web-osb110

Idea of collections of learning as collections or "playlists" or "readlists". Similar to the old tool Readlist which bundled articles into books relatively easily. See also: https://boffosocko.com/2022/03/26/indieweb-readlists-tools-and-brainstorming/

Use of Wiki version histories

Some of this has the form of a Wiki but with smaller nuggets of information (sort of like Tiddlywiki perhaps, which also allows for creating custom orderings of things which had specific URLs for displaying and sharing them.) The Zettelkasten idea has some of this embedded into it. Shared zettelkasten could be an interesting thing.

Data is the new soil. A way to reframe "data is the new oil" but as a part of the commons. This fits well into the gardens and streams metaphor.

Jerry, have you seen Matt Ridley's work on Ideas Have Sex? https://www.ted.com/talks/matt_ridley_when_ideas_have_sex Of course you have: https://app.thebrain.com/brains/3d80058c-14d8-5361-0b61-a061f89baf87/thoughts/3e2c5c75-fc49-0688-f455-6de58e4487f1/attachments/8aab91d4-5fc8-93fe-7850-d6fa828c10a9

I've heard Jerry mention the idea of "crystallization of knowledge" before. How can we concretely link this version with Cesar Hidalgo's work, esp. Why Information Grows.

Cross reference Jerry's Brain: https://app.thebrain.com/brains/3d80058c-14d8-5361-0b61-a061f89baf87/thoughts/4bfe6526-9884-4b6d-9548-23659da7811e/notes

https://twitter.com/augmented_CI

The words "beyond", "hierarchical", and "archaic" are all designed to marginalize prior thought and tools which all work, and are likely upon which this broader idea is built. This is a potentially toxic means of creating "power over" this prior art rather than a more open spirit of "power with".

ReconfigBehSci [@SciBeh]. (2021, November 14). @STWorg @olbeun @lombardi_learn @kostas_exarhia @stefanmherzog @commscholar @johnfocook @Briony_Swire @Sander_vdLinden @DG_Rand @kendeou @dlholf @ProfSunitaSah @HendirkB @gordpennycook @andyguess @emmapsychology @ThomsonAngus @UMDCollegeofEd @gavaruzzi @katytapper @orspaca [Tweet]. Twitter. https://twitter.com/SciBeh/status/1459813535974842371

ReconfigBehSci [@SciBeh]. (2021, November 14). Kai Spiekermann will speak the need for science communication and how it supports the pivotal role of knowledge in a functioning democracy. The panel will focus on what collective intelligence has to offer. 3/6 [Tweet]. Twitter. https://twitter.com/SciBeh/status/1459813528987217926

ReconfigBehSci. (2021, November 14). Join us this week at our 2021 SciBeh Workshop on the topic of ‘Science Communication as Collective Intelligence’! Nov. 18/19 with a schedule that allows any time zone to take part in at least some of the workshop. Includes: Keynotes, panels, and breakout manifesto writing 1/6 [Tweet]. @SciBeh. https://twitter.com/SciBeh/status/1459813525635973122

ReconfigBehSci. (2021, November 20). Thanks to everyone who took part in our Workshop on #SciComm as Collective Intelligence It was amazing! Materials will be uploaded to http://SciBeh.org website 1/2 @kakape @DrTomori @SpiekermannKai @GeoffreySupran @ArendJK @STWorg @dgurdasani1 @suneman @philipplenz6 [Tweet]. @SciBeh. https://twitter.com/SciBeh/status/1461978072924762117

SciBeh Virtual Workshop 2021: Science Communication as Collective Intelligence. (n.d.). SciBeh. Retrieved 14 February 2022, from https://www.scibeh.org/events/workshop2021/

ReconfigBehSci. (2021, October 31). Please join us at our upcoming workshop on ‘Science Communication as Collective Intelligence’ featuring talks (@SpiekermannKai, @dgurdasani1), panel discussions (@kakape,@CaulfieldTim, @joshua_a_becker, @suneman, @GeoffreySupran and more!) 1/2 https://t.co/isupbnF6yA [Tweet]. @SciBeh. https://twitter.com/SciBeh/status/1454763345748414465

I met Flávia Macêdo in a Trimtab Space Camp course. She invited me to participate in Holoptic – Global collective intelligence platform.

I suggested to the Stop Reset Go team that if we are focusing on connection, this might be a useful approach.

Collective Intelligence. (2020, July 18). SAGE Publications Ltd. https://uk.sagepub.com/en-gb/eur/collective-intelligence/journal203713

Shared by Ferial Puren

Gyuri Lajos recommended Hypothesis to the Stop Reset Go team to simulate the experience of using the IndyWiki project that he is working on.

Gyuri Lajos is a member of the Stop Reset Go team. He is working on IndyWiki as a Web3 Native platform for collective intelligence.

Il ne s’agirait donc pas de simplement devenir collectivement «plus intelligent» (au sens d’efficace, dans un strict paradigme scientifique et technique pour accélérer le fonctionnement de l’économie), mais aussi réflexif: réfléchir aux conditions de cette société renouvelée, en proie à de nouvelles dynamiques de pouvoir extrêmement concentrées et asymétriques.

objectif de l'intelligence collective, des humanités numériques comme discipline en communauté

Injonction aux faiseurs de connaissance – autre morceau du programme de l’intelligence collective de Pierre Lévy?

versant éthique?

Martin, G., Hanna, E., & Dingwall, R. (2020). Face masks for the public during Covid-19: An appeal for caution in policy [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/uyzxe

Thomas W. Malone—COVID-19 and Collective Intelligence (ACM CI’20). (n.d.). Retrieved June 25, 2020, from https://www.youtube.com/watch?v=W5RfAZMMTPM

Jeff Howe - Crowdsourcing and the Crisis: Collective Intelligence in the Age of Covid-19 (ACM CI’20). (n.d.). Retrieved June 25, 2020, from https://www.youtube.com/watch?v=POPMMHyIoS0

James Evans—Designing Diversity for Collective Advance (ACM CI’20). (n.d.). Retrieved June 25, 2020, from https://www.youtube.com/watch?v=1OMmJJz0oF0

ACM Collective Intelligence 2020—Keynotes. (n.d.). YouTube. https://www.youtube.com/channel/UCYecxGPlIg9XryIeXVtsMvA

search engines usually can surface that faster (less cognitive load than recalling what and where you store something) than you retrieve it in your second brain (abundance info, do can always retrieve from external source in a JIT fashion)

World Pandemic Research Network

where's the line though? every output generates a feedback loop with the hivemind, turning into input to ourselves with our cracking, overwhelmed, filters

it's unrealistic to wish everyone to see jokes are jokes, to rely on journalists to generate unbiased facts, and politicians as self serving leeches, err that's my bias speaking

Pescetelli, N., Cebrian, M., & Rahwan, I. (2020, February 10). Real-time Internet Control of Situated Human Agents. https://doi.org/10.31234/osf.io/xn7sr

Almaatouq, A., Noriega-Campero, A., Alotaibi, A., Krafft, P. M., Moussaid, M., & Pentland, A. (2020). Adaptive social networks promote the wisdom of crowds. Proceedings of the National Academy of Sciences, 201917687. https://doi.org/10.1073/pnas.1917687117

Pescetelli, N., Rutherford, A., Kao, A., & Rahwan, I. (2020). Pescetelli_et_al_Collective learning in news consumption. https://doi.org/10.31234/osf.io/w6nc5

Collective Intelligence and COVID-19 | Trello. (n.d.). Retrieved April 20, 2020, from https://trello.com/b/STdgEhvX/collective-intelligence-and-covid-19

fonction de l’espace public: un appareil critique (la critique est productrice d’espace public).

le pouvoir, pour maintenir sa légitimité, doit être exposé à la sphère publique et se montrer à lui avec transparence; il doit pouvoir être challengé; s’il ne résiste pas à la critique publique, il ne mérite pas d’être en place.

la possibilité de challenger l’instance publique est comparable à la publication des protocoles de sécurité utilisées dans le domaine public (ex. SSL/TLS): la sécurité des contenus encryptés tirent justement leur robustesse du fait que leur algorithme est public; quiconque pourrait le challenger à tout moment, si bien qu’on s’assure d’en éliminer toutes les failles (et l’intelligence collective peut être mise à contribution, le cas échéant).

Sense Collective's TotemSDK brings together tools, protocols, platform integrations and best practices for extending collective intelligence beyond our current capabilities. A number of cryptographic primitives have emerged which support the amazing work of projects like the NextNow Collaboratory in exciting ways that help to upgrade the general purpose social computing substrate which make tools like hypothes.is so valuable.

Collective Intelligence Playground

Engelbart explicitly noted that what he was trying to do was not just hack culture, which is what significant innovations accomplish, but to hack the process by which biological and cultural co-evolution has bootstrapped itself to this point. Culture used the capabilities provided by biological evolution -- language, thumbs, etc. -- to improve human ways of living much faster than biological evolution can do, by not just inventing, but passing along to each other and future generations the knowledge of what was invented and how to invent. Engelbart proposes an audio-visual-tactile interface to computing as a tool for consciously accelerating the scope and power of individual and collective intelligence.

To me, this is the most prescient of Engelbart's future visions, and the seed for future study of culture-technology co-evolution. I talked with Engelbart about this passage over the years and we agreed that although the power of the artifacts, from RAM to CPU speed to network bandwidth, had improved by the billionfold since 1962, the "softer" parts of the formula -- the language, methodology, and training -- have not advanced so much. Certainly language, training methods and pedagogy, and collaborative strategies have evolved with the growth and spread of digital media, but are still lagging. H/LAMT interests me even more today than it did thirty years ago because Engelbart unknowingly forecast the fundamental elements of what has come to be called cultural-biological co-evolution. I gave a TED talk in 2005, calling for an interdisciplinary study of human cooperation -- and obstacles to cooperation. It seems that in recent years an interdisciplinary understanding has begun to emerge. Joseph Henrich at Harvard, for one, in his recent book, The Secret of Our Success, noted:

Drawing insights from lost European Explorers, clever chimpanzees, hunter-gatherers, cultural neuroscience, ancient bones and the human genome, Henrich shows that it’s not our general intelligence, innate brain power, or specialized mental abilities that explain our success. Instead, it’s our collective brains, which arise from a combination of our ability to learn selectively from each and our sociality. Our collective brains, which often operate outside of any individual’s conscious awareness, gradually produce increasingly complex, nuanced and subtle technological, linguistic and social products over generations.

Tracking this back into the mist of our evolutionary past, and to the remote corners of the globe, Henrich shows how this non-genetic system of cultural inheritance has long driven human genetic evolution. By producing fire, cooking, water containers, tracking know-how, plant knowledge, words, hunting strategies and projectiles, culture-driven genetic evolution expanded our brains, shaped our anatomy and physiology, and influenced our psychology, making us into the world’s only living cultural species. Only by understanding cultural evolution, can we understand human genetic evolution.

Henrich, Boyd, and RIcherson wrote, about the social fundamentals that distinguish human culture's methods of evolving collective intelligence in The Origin and Evolution of Culture:

Surely, without punishment, language, technology, individual intelligence and inventiveness, ready establishment of reciprocal arrangements, prestige systems and solutions to games of coordination, our societies would take on a distinctly different cast. Thus, a major constraint on explanations of human sociality is its systemic structure

Diverse labor force is also a central principle of effective crowdsourcing and collective intelligence.

Collective intelligence definition.

Per the authors, "collective intelligence is a superset of social computing and crowdsourcing, because both are defined in terms of social behavior."

Collective intelligence is differentiated from human computation because the latter doesn't require a group.

It is differentiated from crowdsourcing because it doesn't require a public crowd and it can happen without an open call.

How data structure influences value systems and social practices is a much-needed topic of inquiry.

Big, sweeping statement that helps frame how big data could be better conceptualized as a complex, socially contextualized, temporal artifact.

I don't understand what Burns is arguing here. Who is he referring to claims that DHN is a "savior" or "the solution" to crisis response?

"Big data should therefore be be conceptualized as a framing of what can be known about a humanitarian crisis, and how one is able to grasp that knowledge; in short, it is an epistemology. This epistemology privileges knowledges and knowledge- based practices originating in remote geographies and de- emphasizes the connections between multiple knowledges.... Put another way, this configuration obscures the funding, resource, and skills constraints causing imperfect humanitarian response, instead positing volunteered labor as ‘the solution.’ This subjectivity formation carves a space in which digital humanitarians are necessary for effective humanitarian activities." (Burns 2015: 9–10)

Is it "a lack of relational sense of responsibility" in crisis response (state vs private sector vs public) or is it the wicked problem of power, class, social hierarchies, etc.?

"... ways of framing data and correlations that elicit a greater sense of responsibility and commitment."

That could have a temporal component to it to position urgency, timescape, horizon, etc.

This critique addresses surveillance state concerns about glue-ing datasets together to form a broader understanding of aggregate social behavior without the necessary constraints/warnings about social contexts and discontinuity between data.

Skimmed the Ruppert paper, sadly doesn't engage with time and topologies.

Beyond this quote, Chandler (in engaging crisis/disaster scenarios) argues that Big Data may be more appropriately framed as community reflexive knowledge than causal knowledge. That's an interesting idea.

*"Thus, It would be more useful to see Big Data as reflexive knowledge rather than as causal knowledge. Big Data cannot help explain global warming but it can enable individuals and household to measure their own energy consumption through the datafication of household objects and complex production and supply chains. Big Data thereby datafies or materialises an individual or community’s being in the world. This reflexive approach works to construct a pluralised and multiple world of self-organising and adaptive processes. The imaginary of Big Data is that the producers and consumers of knowledge and of governance would be indistinguishable; where both knowing and governing exist without external mediation, constituting a perfect harmonious and self-adapting system: often called ‘community resilience’. In this discourse, increasingly articulated by governments and policy-makers, knowledge of causal connections is no longer relevant as communities adapt to the real-time appearances of the world, without necessarily understanding them."

"Rather than engaging in external understandings of causality in the world, Big Data works on changing social behaviour by enabling greater adaptive reflexivity. If, through Big Data, we could detect and manage our own biorhythms and know the effects of poor eating or a lack of exercise, we could monitor our own health and not need costly medical interventions. Equally, if vulnerable and marginal communities could ‘datafy’ their own modes of being and relationships to their environments they would be able to augment their coping capacities and resilience without disasters or crises occurring. In essence, the imaginary of Big Data resolves the essential problem of modernity and modernist epistemologies, the problem of unintended consequences or side-effects caused by unknown causation, through work on the datafication of the self in its relational-embeddedness.42 This is why disasters in current forms of resilience thinking are understood to be ‘transformative’: revealing the unintended consequences of social planning which prevented proper awareness and responsiveness. Disasters themselves become a form of ‘datafication’, revealing the existence of poor modes of self-governance."*

Downloaded Chandler paper. Cites Meier quite a bit.

Burns criticism of humanitarian response as not truly collaborative and an abdication of the state's responsibility for social welfare to the private sector.

Participatory-design and community-centered design could be very helpful in this regard but this argument seems overstated.

Evokes concerns about "distant suffering" (see: Chouliaraki, 2008): Who gets to share? What community? Refugees are not homogeneous.

The dichotomy between state-led response vs community-coordinated response as the only ways to deliver aid seems unnecessarily limited.

It can be both and other models/new ideas.

Conflict- and persecution-driven humanitarian needs are often rife with complexity and receive scant attention outside of the humanitarian INGO sector.

Cited paper references social media and DHN work.

Dataveillance definition.

The supposed benefits for crisis management don't correspond to the earlier criticisms about data quality, loss of contextualization, and predictive analytics accuracy.

The following paragraph clears up some of the overly optimistic promises. Perhaps this section is simply overstated for rhetorical purposes.

I understand the desire to use a topical hook to explain a complex topic but referring to the highly contentious Snowden scandal as a frame seems risky (alienating) and could potentially undermine an important argument about the surveillance state should new revelations be revealed about his motives/credibility.

If the goal is to improve rapid/efficient response to those in need, is it necessarily only a dichotomy of top-down institutional action vs private sector/market-driven reaction? Surely, we can do better than this.

Data/predictive analytics abuses by the private sector are legion.

How does social construction vs technological determinism fit here? In what ways are the real traumas suffered by crisis-affected people not being taken into account during the response/relief/resiliency phases?

The shift from INGO emergency response/logistics to state-sponsored, individualized resilience via the private sector seems profound here.

There's also a subtle temporal element here of surveilling need and collecting data over time.

Again, raises serious questions about the use of predictive analytics, data quality/classification, and PII ethics.

This seems like a terribly naive conclusion about mass data collection by the state.

Also:

"Yet even if capacities to analyse the haystack for needles more adequately were available, there would be questions about the quality of the haystack, and the meaning of analysis. For ‘Big Data is not self-explanatory’ (Bollier 2010: 13, in boyd and Crawford 2012). Neither is big data necessarily good data in terms of quality or relevance (Lesk 2013: 87) or complete data (boyd and Crawford 2012)."

Primary problems to resolve regarding the use of "big data" in humanitarian contexts: dataset size/sample, predictive analytics are contrary to human behavior, and ethical abuses of PII.

Data collection process for refugees is underscored as threat surveillance, whether it is intended or not.

Design implication for ICT4D and ICT for humanitarian response -- moving beyond controlled environment surveillance to ubiquitous and omnipresent.

The Information is Aid perspective that drives my research agenda.

A finer point on threat surveillance that stems from how classifications and categories are framed.

This also gets at post-colonial interpretations of people, places, and events.

See: Winner, Do Artifacts Have Politics? See: Bowker and Star, Sorting things out: Classification and its consequences. See: Irani, Post-Colonial Computing

Data is used by the state to mobilize resources for protective services (border management and immigration/asylum systems) and data is used to count/track refugees in order to provision assistance.

Datafication definition

It also incorporates metadata as well as information gleaned from typical sources.

The promise and peril of gathering collective intelligence, surveillance, and capturing big data during humanitarian crises.

Benkler makes a really bold statement here about how peer production differs from collective intelligence. Not sure I buy this argument.

Brabner on crowdsourcing:

Not all collective intelligence is peer production.

Peer production must adhere to values: de-centralized control, broad range of motives/incentives and FLOSS/creative commons rights.

Focus of related work in collective intelligence studies:

• organizational governance • motives • product quality

Benkler argues that the process, motives, and cultural norms of online network-driven knowledge work are different than systems previously studied and should be re-evaluated.

Co-annotate this with me anyone?

An article relevant to intelligent democracy, because it shows that opensource-like collaboration often out performs corporate of governmental organizations at solving problems well.

What has humanity come to -- Micrsoft, one of America's leading computer companies, is selling China network AI's that help enforce Communist censorship?

We cannot stop other countries from censoring their net, and we should let American vendors sell into nets censored by local law. But -- if we care for democracy and anything even approaching America's current relatively wide equality of power between humans -- we better show the world that a nation with a substantially uncensored, AI-amplified, democratic network can kick butt. Otherwise a democratic human future in the rapidly approaching age of machine superintelligence looks unlikely.

So let's use collective media, collective intelligence, and a basic set of collective human values to create an AI amplified superdemocracy.

The AI singularity is rapidly approaching. Machines that can do virtually everything humans do much faster and better than humans are probably only 5 to 15 years away. If you care at all for anybody, including yourself, that may be living then -- it is important for you that machine superintelligence happen well for humanity. As I wrote in 2010 in an article entitled "Collective Intelligence -- Our Only Hope for Surviving the Singularity":

"The Singularity will NOT occur in a vacuum.

"It will NOT occur in a realm of pure science, engineering, or philosophy. It will NOT occur in one instant, one year, or one decade.

"Instead, it WILL occur --- over multiple decades --- in the real world --- one dominated by struggles for --- personal --- corporate --- political --- and national --- survival, money, and power. How the Singularity's wildly transformative technologies will be developed and deployed will be decided largely by collective entities --- by corporations --- governments --- political parties --- militaries --- bureaucracies --- interest groups --- criminal gangs --- the media --- and public opinion."

So -- if we want the future to be anything other than a sci-fi horror movie -- job one should be using the net and AI to make America and, ultimately humanity, collectively superintelligent.