Tools and networks for collective sensemaking
Cosmik Network (cosmik.network) — Semble
Transforming social networks into sensemaking networks https://cosmik.network/ | Building @semble.so a social knowledge network for research | Co-organizing @atproto.science @cairos.network
Sensors, not just bookmarks [Patterns of Sensemaking #1] - Cosmik Labs
First of a new series on sensemaking patterns we're observing on Semble
Connecting with your readers on Semble [Patterns of Sensemaking #2] - Cosmik Labs
On how the references you make help your writing find its natural audience
semble/src/modules/atproto/infrastructure/lexicons at main · cosmik-network/semble
A social knowledge tool for research, built on ATProto - cosmik-network/semble
Getting started - Docs
Discourse Graphs are a tool and ecosystem for collaborative knowledge synthesis, enabling researchers to map ideas and arguments in a modular, composable graph format.
Lab Notes #006: Open Collections and Community Stewardship - Cosmik Labs
Details on our first step towards supporting community stewardship and collaborative curation
Lab Notes #006: Open Collections and Community Stewardship - Cosmik Labs
Details on our first step towards supporting community stewardship and collaborative curation
Bridging Systems: Open Problems for Countering Destructive Divisiveness across Ranking, Recommenders, and Governance
Divisiveness appears to be increasing in much of the world, leading to concern about political violence and a decreasing capacity to collaboratively address large-scale societal challenges. In this working paper we aim to articulate an interdisciplinary research and practice area focused on what we call bridging systems: systems which increase mutual understanding and trust across divides, creating space for productive conflict, deliberation, or cooperation. We give examples of bridging systems across three domains: recommender systems on social media, collective response systems, and human-facilitated group deliberation. We argue that these examples can be more meaningfully understood as processes for attention-allocation (as opposed to "content distribution" or "amplification") and develop a corresponding framework to explore similarities - and opportunities for bridging - across these seemingly disparate domains. We focus particularly on the potential of bridging-based ranking to bring the benefits of offline bridging into spaces which are already governed by algorithms. Throughout, we suggest research directions that could improve our capacity to incorporate bridging into a world increasingly mediated by algorithms and artificial intelligence.
PoliSim@CHI 2026
Large Language Models are rapidly evolving from text generators into reasoning systems that can act as autonomous agents. When placed in social contexts, these agents display emergent behaviors such as forming coalitions, spreading information, and making collective decisions.
1/ quick notes from a great meeting yesterday with a Boston area researcher, interested in cutting edge research tools like Discourse Graphs, @cosmik.network and science social media. The research questions they are looking at are too complex and interdisciplinary to be tackled by any single lab >
