Algorithmacy
CFP / V01 · 2026 CFP · open

Algorithmacy · The first global conference

CONFERENCE 2026

October 28–31, 2026 · Port of Spain, Trinidad & Tobago

The first global conference on algorithmacy — how workers coordinate with one another through an algorithmic third party. Two days of papers, four keynotes, and a field day at the Pitch Lake.

Program

Oct 28–31, 2026 · 4 keynotes · 5 tracks · open review
WED · OCT 28

Opening

Registration, opening remarks, and the first keynote.

  • Registration & welcome
  • Keynote 01
  • Opening reception
THU · OCT 29

Papers

Track sessions across the five thematic tracks, with open-review discussion.

  • Paper sessions · TR.01–TR.05
  • Keynote 02
  • Open-review panels
FRI · OCT 30

Papers

More track sessions, notes, posters, and practitioner reports.

  • Paper sessions continue
  • Keynote 03
  • Keynote 04
  • Lightning talks · posters
SAT · OCT 31

Uniquely Trinidad

A field day at the world's largest natural asphalt deposit.

  • La Brea Pitch Lake site visit
  • Guided tour + local program
  • Closing reception

Keynotes

4 speakers
KEYNOTE 01 Antonio Mele Economics · London School of Economics
KEYNOTE 03 Thomas K. F. Chiu AI & STEM Education · Chinese University of Hong Kong
KEYNOTE 04 Antonio Scala Complex networks · CNR Institute for Complex Systems, Rome

Organizers

the team behind the conference

Partners

Trinidad partner

Honors & Recognitions

recognizing significant contributions
About these honors The conference may periodically recognize individuals, institutions, and partners whose contributions have significantly advanced the conference or the broader field of Algorithmacy.
Lorraine & Anisa Oliviel Directors · Caribbean Emergence Institute

001 The first global conference Port of Spain · Trinidad & Tobago

Algo·rith·macy

The competency through which a worker coordinates with another human through an algorithmic third party. A new coordination form — named, and convened around, for the first time.

Venue
Port of SpainTrinidad & Tobago — 30 min from Piarco INT'L
Dates
Oct 28–31, 2026Wed–Sat · Port of Spain, Trinidad
Hosted by
Caribbean Emergence Institute+
Submissions
5 types · 5 tracksAPA 7 · open review · open access
Submit a paper

Intake is via pull request. Drop a 300–500-word abstract and outline at /submissions/<handle>.md — five submission types, five thematic tracks. Open review.

Tracks & Questions

5 thematic tracks · click to expand

  1. What does it mean to coordinate through an algorithm, and how is that distinct from being managed by one?
  2. When does the algorithmic third become a partner versus an obstacle to coordination?
  3. Which workplace handovers and exchanges are uniquely triadic, and which can still be done dyadically?
  4. What is the historical relationship between oracy, literacy, and algorithmacy as coordination forms?
  1. How do performance algorithms reshape what counts as “good work” across sectors?
  2. What new forms of surveillance and metric-shaping emerge when management is algorithmically mediated?
  3. How are scheduling, ranking, and matching algorithms reconfiguring shift work and labor markets?
  4. What is the role of human management in algorithmically-managed environments?
  1. How do platform workers learn the algorithm in the absence of documentation or training?
  2. What strategies do gig workers develop to game, anticipate, or accommodate platform logics?
  3. What forms of collective action are possible when work is algorithmically mediated?
  4. How do workers refuse, sabotage, or work around algorithmic management?
  5. What is the role of unions, worker centers, and informal solidarities in this setting?
  1. What information asymmetries exist between workers, managers, and the algorithm?
  2. When does algorithmic opacity protect workers, and when does it harm them?
  3. Why do workers comply with algorithmic directives, and under what conditions do they cease to?
  4. How can algorithmic systems be audited specifically from the worker’s perspective?
  5. What models of codetermination or stakeholder review apply to algorithmic management?
  1. What methodologies are best suited to studying algorithmic coordination at work?
  2. How do we observe what cannot be directly seen — model behavior, intent, reasoning?
  3. Which earlier regimes — bureaucracy, Taylorism, scientific management — prefigure today’s algorithmacy?
  4. What field accounts reveal the texture of algorithmically-mediated work as it is actually done?
  5. What can be learned from those who have left algorithmic platforms about what failed for them?
Review

Open, signed, published, timestamped.

Open

Submissions and review threads live on the public repository from the moment of intake. There is no anonymized submission stage.

Signed

Reviewers attach their names to their assessments. Accountability is a feature of the review, not a compromise of it.

Published

An open PR is under review; merging it is acceptance. Accepted papers appear on the Accepted Papers board alongside their full review history — reviewer reports, author responses, and revision trail. Full papers are organized and published by Hult International Business School (Boston) after peer review.

Timestamped

Your pull request is a public, dated record. In any future priority dispute, the conference will support your claim based on the PR timestamp.

After established open-review practice at F1000Research, eLife, OpenReview.net, and The BMJ. A double-blind workflow is incompatible with a public-PR intake; open review is the methodologically honest fit — and consonant with the conference's own questions about algorithmic opacity and accountability.

Accepted Papers

open review · published

A submission is a public pull request. While it is open it is under review; once it is accepted, the pull request is merged and the paper is listed here with its full, signed review history.

Research

An open computational lab.

Beyond the conference, the same coordination form is being tested computationally. The public algorithmacy-lab applies exact integrated information (Φ, from IIT 4.0, via PyPhi) to organizational coordination, driven by a six-stage AI-assisted protocol that takes one question to a finished paper — 134+ logged experiments, hypotheses fixed before computing, nulls reported as first-class results. These are in-silico results on small models, computed exactly: a proof-of-method and a research agenda, not settled claims about real firms.

See the research lab

org_frontier/ holds the lab · foundations/ holds the instrument-validation arc. Open code, probes, and papers.

Tester

Read the algorithm. Guess the prompter.

000 / 100

You and the prompt author are coordinating through Claude. Only the output is visible. What was the input?

Level
Loading prompts…