research activities


technological changes embed us in human-machine-collectives of unprecedented scale.

through the “not-yet-disciplinary” cultures of experimental research and their anticipatory what-if-power we can comprehend and co-design such embeddedness.

together, we can develop new ways of engaging in fore-sighting activities on all levels of generative engagement.

complementing the powerful-yet-narrow vision of technology-centered predictive analytics, the multiple registers of anticipation facilitate both forecasting and foresighting.

the anticipate.network supports concrete collective intelligence design activities through collaborative research, explores use cases that highlight and resonate across the dynamics of collaborative creation, and evaluate outcomes in relation to multiple scales of value.

as we experiment with frameworks, methods, forms of assembly, and approaches to mutual learning, members of the network support each other in engaging with contexts and conditions that inform and structure their own work locally and translocally.

a working papers series will be launched in 2020.

 

principles of engagement


1. Explore Impact.

Rather than solely focusing on a single technology (such as ai) as field of applied t innovation, the network makes the question of collective intelligence the focus of multidisciplinary inquiry and experiment. This allows us to approach, explore and comprehend the wide-ranging implications and possible impact of machinic intelligences without locking us into the dynamics of technological development.


2. Imagine Innovation.

New imaginaries, new narratives, new horizons - if we are to anticipate worlds in which human and non-human actors become part of collective intelligences, we will need all of these. In imagining alternative futures, the network widens the space of innovation. This goes both ways, as we also need to innovate imagination. New technologies change the way we can arrive at concepts, tell stories, foresee futures. This opens up new problem spaces and calls for new conceptual blueprints to ultimately create new instruments for the organization of change.


3. Co-Create Discourses.

We can only find the new if we have a language that allows room for the unknown. Otherwise we may not be able to name the new when we encounter it - or miss it altogether. The network critically assesses the terms we have come to use to talk about the new - and creates new terms whenever we think existing terms won’t do. The co-creation of new languages is one way to anchor technology design in a broader and more holistic conversation about how we want to live and work.


4. Make Worlds.

The distinctions we have established in education and research have served us only so well in building new alliances. Rather than struggling to re-connect what we have come to accept as always already separate - IT, SSH, Arts and Culture - we begin with a multi- and even non-disciplinary view of the systems and worlds of which we are a part. In the context of ecological crisis, we need to have a better sense of how the world exists - its interdependencies, its timescales, . If technology is to play a role in addressing this crisis, we need a way of speaking about worldmaking that acknowledges that technologies can play multiple roles, and that our ways of exploring impact must acknowledge the complexity of technological agency.


5. Contextualize Agency.

The conditions of change frame our agency - as they change, so do our options for individual and collective action. Awareness of contexts directly translates into new possibilities for action. We need to rethink how we can explore anticipatory assumptions, harness structures for mutual learning to meet these challenges. By collaborating with a wide range of actors, we can devise blended skillsets and clusters of competences to properly assess, scope and tackle more complex and chaotic problems. Such participatory futures will not only provide strategic vision, build capacity and guarantee impact, but also generate new concepts and instruments.

 

use cases


The following activities (status: 12/19) are organized by network members and/or colleagues, friends, fellow researchers. anticipate.network approaches and compares / contrasts them as collective intelligence design use cases.

DATA COOPERATIVES

A workshop series around the co-creation of cooperative business models / value chains around the management and uses of health / patient-data. Conducted in the context of edgeryders. Partners include Salus Coop, AAL Netzwerk Saar, K8.

LIBRE GRAPHICS MEETING

The Libre Graphics Meeting (LGM) is an annual international convention for the discussion of free and open source software used with graphics.

MACHINE MEMORY

Machine Memory is a public prototyping project to demonstrate potential roles for ai-based image analyses in the creation and use of cultural heritage archives. It is conducted in the context of the European Year of Cultural Heritage. Partners include xm:lab, K8, DFKI, Historisches Museum Saar.

OPEN CULTURE, OPEN SYSTEMS

Cultural organizations struggle with policy environments that were never meant to facilitate experimental approaches to institutional design. In order to more effectively share content, meet the growing demand for cross-sectoral collaboration, and facilitate real-time access to cultural archives, more and more of these organizations are exploring the cultural, economic, and social registers of open culture to meet these demands and reflect the worlds in which culture and heritage are engaged by multiple audiences. A collaborative policy exploration process around the open culture activities of the CNA.

S:COOP

A student-driven cooperative to initiate and implement commons-oriented design activities. Currently based at HBKsaar, supported in the context of the Innovation Hubs@campus initiative (Stifterverband).

SOCIETY OF OWNERS

As part of its exploration of cultures of collaboration, K8 engages with SOO in collaborative research on a) organizational development, especially in relation to the current renaissance of cooperativism (as an ethos of commonism, as a structural alternative to organize self-determined and sustainable economic activity), and b) the co-design of a sandboxing environment to explore and prototype alternative instruments in the fields of cooperative finance and cooperative healthcare, in turn supported by K8's interest in collective intelligence / viable systems design.

SPECTRUM

Spectrum is a “Decentralized Digital Asset Catalogue”, a smart portfolio empowered by distributed ledger technology facilitating the administration of co-created digital assets to explore new collaborative value creation frameworks. The Spectrum web tool demonstrates how creative content can be transformed into digital assets through simple Human2Human2Machine interaction. The project aims to support freelancers by collaboratively exploring agile ways of working corresponding to contemporary project based work. Coordinated by Technoport.