Paco Nathan, Managing Partner at Derwen, Inc.
Known as a "player/coach", with core expertise in
graph technologies,
natural language,
data science,
cloud computing;
~40 years tech industry experience, ranging from Bell Labs to early-stage start-ups.
Board member for
Argilla.io;
Advisor for
KUNGFU.AI.
Lead committer on
PyTextRank,
kglab.
Formerly:
Director, Community Evangelism for
Apache Spark
at
Databricks.
- Signal or secure email
- mastodon.green/@pacoid
- "Graph Data Science" LinkedIn group
- contact form (general public)
0EEC 171D 3A38 7943 9E2E F23D 157E FBCA 16E9 2CF6
orcid.org/0000-0003-3167-1539
member:
ACM,
PSF,
NumFOCUS,
ESIP
-
Latent Space
Derwen (2023-05-07) -
NLP Entity Linking for Medical Transcripts
Manning (2022-05-02) -
2022 AI in Healthcare Survey Report
Gradient Flow (2022-03-28) with Ben Lorica -
Recommender Systems Best Practices
NVIDIA (2021-09-28) -
2021 NLP Industry Survey
Gradient Flow (2021-09-20) with Ben Lorica -
Hardware > Software > Process: Data Science in a Post-Moore's Law World
Manning (2021-05-25) with Dean Wampler -
2021 AI in Healthcare Survey Report
Gradient Flow (2021-03-21) with Ben Lorica -
Operationalizing AI: How to Accelerate and Scale Across People, Processes, Platforms
O'Reilly Media (2021-03-15) with John Thomas William Roberts , -
2020 NLP Industry Survey
Gradient Flow (2020-09-21) with Ben Lorica -
Rich Search and Discovery for Research Datasets
SAGE Publishing (2020-05-18) with Julia Lane , Ian Mulvany -
Agile AI: A Practical Guide to Building AI Applications and Teams
O'Reilly Media (2019-10-10) with Carlo Appugliese , William Roberts -
Fifty Years of Data Management and Beyond
O'Reilly Media (2019-04-29) -
AI Adoption in the Enterprise
O'Reilly Media (2019-02-20) with Ben Lorica -
Evolving Data Infrastructure
O'Reilly Media (2019-01-25) with Ben Lorica -
The State of Machine Learning Adoption in the Enterprise
O'Reilly Media (2018-08-07) with Ben Lorica -
Building Data Science Teams
O'Reilly Media (2015-12-09) -
Intro to Apache Spark
O'Reilly Media (2015-04-03) -
Just Enough Math
O'Reilly Media (2014-08-06) -
Enterprise Data Workflows with Cascading
O'Reilly Media (2013-07-01)
-
"Graph Thinking"
Knowledge Graph Conference newsletter (2021-08-05) -
"Sense and Scalability"
Derwen (2021-07-06) with Jürgen Müller -
"Deadline 2024: Why you only have 3 years left to adopt AI"
VentureBeat (2021-07-24) with Steve Meier -
"2021 Knowledge Graph Conference Recap"
Knowledge Graph Conference newsletter (2021-07-01) -
"Model Monitoring Enables Robust Machine Learning Applications"
Gradient Flow article (2021-05-26) with Ben Lorica -
"Trino, Data Governance, and Accelerating Data Science"
Starburst blog (2021-04-22) -
"Dressing in Layers"
Knowledge Graph Conference newsletter (2021-04-10) with Ellie Young -
"Rules of the Game"
Knowledge Graph Conference newsletter (2021-02-28) with Ellie Young -
"Metadata Day 2020 - review"
Knowledge Graph Conference newsletter (2021-02-01) with Ellie Young -
"Review: Metadata Day 2020"
KnowledgeTech blog (2021-01-28) with Ellie Young -
"Knowledge Connexions 2020: Reflexions and Highlights"
Knowledge Graph Conference newsletter (2020-12-22) with Ellie Young -
"Metaspeak Meetup, Dec 14 2020"
Derwen (2020-11-30) -
"Graphs Visualization"
Knowledge Graph Conference newsletter (2020-11-19) with Ellie Young -
"Public and Private Knowledge Graphs"
Knowledge Graph Conference newsletter (2020-10-23) with Ellie Young -
"Public vs. Private Graphs"
KnowledgeTech blog (2020-10-23) with Ellie Young -
"Knowledge Graphs in Government"
Knowledge Graph Conference newsletter (2020-09-24) with Ellie Young -
"Geo Graphs in Gov"
KnowledgeTech blog (2020-09-23) with Ellie Young -
"Learn about Multi Armed Bandits and RL-based Recommender Systems at Ray Summit 2020"
Anyscale blog (2020-09-02) with Dean Wampler -
"Focus on Food"
Knowledge Graph Conference newsletter (2020-08-27) with Ellie Young -
"Focus: KGs for Food"
KnowledgeTech blog (2020-08-27) with Ellie Young -
"Anatomy of a custom environment for RLlib"
Distributed Computing with Ray blog (2020-08-27) -
"KGs for Business"
Knowledge Graph Conference newsletter (2020-07-30) with Ellie Young -
"Intro to RLlib: Example Environments"
Distributed Computing with Ray blog (2020-07-09) -
"Visualizing Geospatial Data in Python"
IBM Data Science Community blog (2020-05-17) with William Roberts -
"Conferences and Meetings"
Society Street (2020-03-26) -
"Introducing AutoML"
IBM Data Science Community blog (2020-01-22) with William Roberts -
"Machine Learning Highlights for Rich Context"
Derwen (2020-01-05) -
"Themes and Conferences per Pacoid, Episode 13"
Domino Data Lab blog (2019-10-09) -
"Human-in-the-loop AI for scholarly infrastructure"
Derwen (2019-09-14) -
"Natural Language in Python using spaCy: An Introduction"
Domino Data Lab blog (2019-09-11) -
"ML Ops Day, OSCON 2019"
IBM Data Science Community blog (2019-09-09) with William Roberts -
"Themes and Conferences per Pacoid, Episode 12"
Domino Data Lab blog (2019-08-12) -
"Data Science, Past and Future", Rev2 keynote transcript + video
Domino Data Lab blog (2019-07-22) -
"Themes and Conferences per Pacoid, Episode 11"
Domino Data Lab blog (2019-07-02) -
"Themes and Conferences per Pacoid, Episode 10"
Domino Data Lab blog (2019-06-02) -
"Useful Resources for Data Science"
IBM Data Science Community blog (2019-05-09) with William Roberts -
"Themes and Conferences per Pacoid, Episode 9"
Domino Data Lab blog (2019-05-08) -
"I <3 Graphs"
IBM Data Science Community blog (2019-04-23) with William Roberts -
"Themes and Conferences per Pacoid, Episode 8"
Domino Data Lab blog (2019-04-03) -
"A landscape diagram for Python data"
IBM Data Science Community blog (2019-03-02) with William Roberts -
"What is Data Science?"
IBM Data Science Community blog (2019-03-04) with William Roberts -
"Themes and Conferences per Pacoid, Episode 7"
Domino Data Lab blog (2019-03-03) -
"Three surveys of AI adoption reveal key advice from more mature practices"
O'Reilly Media (2019-02-20) with Ben Lorica -
"Themes and Conferences per Pacoid, Episode 6"
Domino Data Lab blog (2019-02-04) -
"How companies are building sustainable AI and ML initiatives"
O'Reilly Media (2019-01-29) with Ben Lorica -
"Themes and Conferences per Pacoid, Episode 5"
Domino Data Lab blog (2019-01-06) -
"Themes and Conferences per Pacoid, Episode 4"
Domino Data Lab blog (2018-12-10) -
"Themes and Conferences per Pacoid, Episode 3"
Domino Data Lab blog (2018-11-07) -
"Themes and Conferences per Pacoid, Episode 2"
Domino Data Lab blog (2018-10-03) -
"Themes and Conferences per Pacoid, Episode 1"
Domino Data Lab blog (2018-09-02) -
"Jupyter Trends in 2018"
O'Reilly Media (2018-08-24) -
"5 findings from O'Reilly's machine learning adoption survey companies should know"
O'Reilly Media (2018-08-07) with Ben Lorica -
"In search of decentralized data markets"
Computable blog (2018-08-02) -
"What to expect at the JupyterCon 2018 Business Summit"
O'Reilly Media (2018-05-24) -
"Winner of the Top Innovator Award at AI NY 2018: temi"
O'Reilly Media (2018-05-24) -
"The Intertwingularity is near: When humans transcend print media"
O'Reilly Media (2018-04-24) -
"Pretanī"
Medium (2018-04-20) -
"JupyterCon 2018, NYC August 21–25"
Project Jupyter (2018-03-15) -
"Jupyter Pop-up coming to Boston on March 21"
O'Reilly Media (2018-02-28) -
"Conference summaries, Oct 2017 part 2"
Derwen (2018-01-08) -
"Confident Personalities vs. Confidence Intervals, in the era of AI"
Derwen (2017-10-10) -
"Humans in the Loop"
Domino Data Lab blog (2017-08-16) -
"Jupyter Insights: Paco Nathan, leader of the Learning Group at O'Reilly Media"
O'Reilly Media (2017-06-14) -
"Why self assessments improve learning"
O'Reilly Media (2017-05-09): introduction of formative assessment into online learning -
"Everyone needs hope"
Derwen (2017-03-05) -
"A modest proposal"
Derwen (2017-02-02) -
"How Do You Learn?"
O'Reilly Media (2016-09-19) with Mike Loukides -
"Monsters, LLP"
Derwen (2016-09-05) -
"Rage in the Workplace, Should We Fear It?"
Invisible Illness (2016-07-31) -
"A Case for Email Etiquette"
Derwen (2016-07-17) -
"Beyond the AI Winter"
Derwen (2016-07-03) -
"Learn alongside innovators, thought-by-thought, in context"
O'Reilly Media (2016-03-21) -
"#ASAPcultures"
Medium (2016-03-20) -
"The Evolution of Big Data Platforms and People"
Data Commnuity DC (2014-04-13) -
"Learning Apache Mesos"
O'Reilly Media (2014-01-15) -
"Apache Mesos: Open source datacenter computing"
O'Reilly Media (2014-01-08) -
"Play Framework Grid Deployment with Mesos"
Lightbend engineering blog (2013) -
"A Methodology For Cloud Computing Architecture"
Ceteri (2008-06-29) -
"What Countermeasures Really Means"
O'Reilly Media (2004-08-03) -
"Ninkasi: Ritual Brewmaking"
Ceteri (2001-09-15) -
"Jackson Wins, Feds Lose"
Wired (1993-02-01) vol 1 issue 21 -
"Timewave Surfer Dudes"
bOING-bOING (1992) issue 10 -
"'Trode Stubble and MIDI"
Mondo 2000 (1992) issue 7 - Mondo 2000, bOING-bOING, and 1990s cyberpunk subculture
- arXiv trends, GitHub (2021-06-16): Analyze trends in articles published on arXiv using NLP, knowledge graph, and time series
- MkRefs, GitHub (2021-05-10): MkDocs plugin to generate semantic reference Markdown pages from a knowledge graph
- Ray tutorials, GitHub (2021-02-23): An introductory tutorial about leveraging Ray core features for distributed patterns
- kglab, PyPi (2020-11-09): A simple abstraction layer in Python for building knowledge graphs
- RLlib tutorials, GitHub (2020-01-29): RLlib tutorials, including Market Bandit and RL RecSys
- PyTextRank, PyPi (2016-02-02): Python implementation of TextRank algorithm by Mihalcea, et al., implemented as a spaCy pipeline extension
- disparity filter, GitHub (2018-11-16): Implements a disparity filter in Python, based on graphs in NetworkX, to extract the multiscale backbone of a complex weighted network
- spaCy tuTorial, GitHub (2019-09-04): A brief tutorial for spaCy 2.x, which runs on Google Colab
- Exsto, GitHub (2015-07-15): analyze the structure and dynamics of an open source project's developer community using NLP, graph algorithms, etc.
- Ray core tutorial, GitHub (2021-02-23): An introductory tutorial about leveraging Ray core features for distributed patterns.
- gym_example, GitHub (2020-07-13): An example implementation of an OpenAI Gym environment used for a Ray RLlib tutorial
- Anyscale Academy, GitHub (2020-06-14): Reinforcement learning tutorials for Ray RLlib, with Dean Wampler
- JupyterLab Metadata Extension, GitHub (2019-10-22): explores linked data for resources (datasets) in JuyterLab
- richcontext.scholapi, GitHub (2019-11-23): API integrations for federating discovery services and metadata exchange across multiple scholarly infrastructure providers, with Ernesto Gimeno, Erik Lopez, Sophie Rand, Ian Mulvany
- Exelixi, GitHub (2013): a pure Python framework based on Apache Mesos, for GA/GP at scale
- Cascading.Pattern, GitHub (2013): machine learning libraries for Cascading, translating PMML to Hadoop apps
- City of Palo Alto Open Data, GitHub (2012): Cascading and Cascalog recommender apps based on CoPA Open Data
- Cascading for the Impatient, GitHub (2013): a progressive series of introductory sample apps for Cascading
- Cascading.SampleRecommender, GitHub (2012): an example social recommender, based on stock Tweets
- Getting Started on Hadoop, GitHub (2010): Hadoop streaming in Python, to analyze Enron email data set
- TextRank, GitHub (2009): Java implementation of TextRank algorithm by Mihalcea, et al.
- OpenSIMS, SourceForge (2004): integrates OSS tools for security management plus real-time analysis visualization
- JFRED Chatbot Server, Robitron (1996): chatbot platform used for FringeWare eCRM, for BBC live televised Turing Test, etc.
- "Autopoiesis in Systems of People and Machines with Paco Nathan", Numerically Speaking podcast (2022-11-02) with Peter Wang
- "Data Dream Team: The Player Coach with Paco Nathan", Data Dream Team podcast (2021-11-01) with Jesse Anderson
- "Origins: Thinking in graphs, a data and tech pioneer on living in a complex world", Origins podcast (2021-09-14) with Ryan McGranaghan
- "Why interest in graph databases and graph analytics are growing", The Data Exchange podcast (2021-09-09) with Jenn Webb and Ben Lorica
- "Metadata, Graphs, and Responsible AI with Paco Nathan", Open||Source||Data podcast (2021-02-11) with Sam Ramji
- "Keynote: Trino, SQL, and Accelerating Data Science", Datanova (2021-02-10) with Dain Sundstrom, David Phillips, Martin Traverso
- "Responsible AI in Practice", Gradient Flow (2020-12-15) with Andrew Burt, Rumman Chowdhury, Yishay Carmiel
- "Tools for scaling machine learning", The Data Exchange podcast (2020-08-20) with Ben Lorica and Jenn Webb
- "Lessons from an AI pioneer in navigating downturns", KUNGFU.AI blog (2020-08-06)
- "I see lots of future in KG work" Knowledge Graph Conference blog (2020-07-30) with Ellie Young
- "Machine learning pioneer Paco Nathan joins KUNGFU.AI advisory board", KUNGFU.AI blog (2020-07-01) with Stephen Straus
- "Hector Dominguez | AI Ethics Series Part 2", IBM Data Science podcast (2020-05-19) with Trisha Mahoney
- "Yao Yang | AI Ethics Series Part 1", IBM Data Science podcast (2020-05-13) with Trisha Mahoney
- "Q&A Session with Paco Nathan from Derwen AI, Topojoy Biswas from Yahoo and Melliyal Annmalai from Oracle", Knowledge Graph Conference 2020 (2020-05-06)
- "Taking stock of foundational tools for analytics and machine learning", The Data Exchange podcast (2019-11-14) with Ben Lorica
- "Derwen, Inc. with Paco Nathan", Google Cloud Platform podcast (2019-06-19) with Michelle Casbon, Amanda Casari
- "Insights From Domino Data Lab’s 2019 Rev2 Conference", InsideAnalysis podcast (2019-06-03) with Eric Kavanagh
- "Data Science vs Engineering: Tension Points", Domino Data Lab blog (2018-12-16) by Ann Spencer
- "Paco Nathan on the Current State of Agile and Deep Learning - Part 2", Syncsort blog (2018-11-06)
- "Not so Evil Mad Scientist, Paco Nathan on Biology-Informed Artificial Intelligence and the Nature of Feedback Loops - Part 1", Syncsort blog (2018-11-05)
- "Susan Etlinger (Altimeter Group) interviewed at the Artificial Intelligence Conference, London 2018", O'Reilly Media (2018-10-10)
- "Amy Heineike (Primer) interviewed at the Artificial Intelligence Conference, London 2018", O'Reilly Media (2018-10-10)
- "Pete Warden (Google) interviewed at the Artificial Intelligence Conference, London 2018", O'Reilly Media (2018-10-10)
- "Using Amazon SageMaker to develop and deploy ML models with Ian Massingham (AWS)", O'Reilly Media (2018-10-10)
- "Accelerating AI algorithms with Gary Brown (Intel)", O'Reilly Media (2018-10-10)
- "Dan Mbanga (AWS) interviewed at JupyterCon NY 2018", O'Reilly Media (2018-08-23)
- "Paul Ivanov (Bloomberg) interviewed at JupyterCon NY 2018", O'Reilly Media (2018-08-23)
- "Charles Smith (Netflix) interviewed at JupyterCon NY 2018", O'Reilly Media (2018-08-23)
- "Inside Open-Source: The Revolution Continues", InsideAnalysis podcast (2018-08-12) with Eric Kavanagh
- "Julia, Python, and R – The Rise of Jupyter Notebooks", DM Radio podcast (2018-05-31) with Eric Kavanagh
- "The evolution of data science, data engineering, and AI", O'Reilly Data Show podcast (2018-05-24) with Ben Lorica
- "Jean Francois Puget (IBM) interview at Strata Data Conference", O'Reilly Media (2018-05-23)
- "Human in the loop: Machine learning and AI for the people", ZDNet (2018-05-23) by George Anadiotis
- "Using AI to track wildlife patterns with Mary Beth Ainsworth (SAS) at O'Reilly AI Conf", O'Reilly Media (2018-05-08)
- "Using AI to extend the range of data scientist with Ron Bodkin (Google) at O'Reilly AI Conf", O'Reilly Media (2018-05-08)
- "Tackling edge computing with Intel's AI Builders program with Fiaz Mohamed (Intel) at O'Reilly AI Conf", O'Reilly Media (2018-05-08)
- "AI is poised to help with today's greatest global challenges with Jennifer Marsman (Microsoft) at O'Reilly AI Conf", O'Reilly Media (2018-05-08)
- "Marrying AI and data services with Abhijit Deshpande and Jayanti Murty (Digitate) at O'Reilly AI Conf", O'Reilly Media (2018-05-08)
- "What machine learning engineers need to know", O'Reilly Data Show podcast (2018-03-29) with Ben Lorica and Jesse Anderson
- "Interpreting Machine Learning Models", DataScience.com (2018-03-28)
- "Huberta Berlaimont interview", Synecdoche (2018-01-22)
- "Holden Karau (Google) and Paco Nathan discuss PySpark and the future of Python", O'Reilly Media (2017-12-18)
- "Jay Jenkins (Google) secrets on ML on Google Cloud", O'Reilly Media (2017-12-18)
- "Adam Gibson (Skymind) interview at Strata Data Conference", O'Reilly Media (2017-12-18)
- Paco Nathan: «Estoy a favor de una renta cubierta por las tasas de las empresas» La Voz de Galicia (2017-11-19) by María Cedrón
- "Wes McKinney (Two Sigma) interviewed at O'Reilly JupyterCon", O'Reilly Media (2017-08-29)
- "Rachel Thomas (Fast.ai) interviewed at O'Reilly JupyterCon", O'Reilly Media (2017-08-29)
- "Demba Ba (Harvard) interviewed at O'Reilly JupyterCon", O'Reilly Media (2017-08-29)
- "Lorena Barba (GWU) interviewed at O'Reilly JupyterCon", O'Reilly Media (2017-08-29)
- "Pramit Choudhary and Aaron Kramer (DataScience.com) interviewed at O'Reilly JupyterCon", O'Reilly Media (2017-08-29)
- "William Merchan (DataScience.com) interviewed at O'Reilly JupyterCon", O'Reilly Media (2017-08-29)
- "Andrew Odewahn (O'Reilly Media) interviewed at O'Reilly JupyterCon", O'Reilly Media (2017-08-29)
- "Matt Burton (U Pitt) interviewed at O'Reilly JupyterCon", O'Reilly Media (2017-08-29)
- "Interactive data exploration with Jason Grout (Bloomberg) at O'Reilly JupyterCon", O'Reilly Media (2017-08-29)
- "Jupyter is democratizing the art of online creation with Peter Wang (Continuum Analytics) at O'Reilly JupyterCon", O'Reilly Media (2017-08-29)
- "Paco Your Bags And Go To JupyterCon" Partially Derivative (2017-06-28) by Chris Albon
- "AI Transforming IT to Customer Service with Jim McHugh (NVIDIA) at O'Reilly AI Conf", O'Reilly Media (2017-06-27)
- Paco Nathan: «Hay mucha gente hablando con robots por Internet, pero no lo saben» La Voz de Galicia (2017-05-27) by María Cedrón
- "Learning, Cider, and Performance Art with Paco Nathan" Partially Derivative (2017-02-21) by Jonathon Morgan
- "Interview with O'Reilly Media's Paco Nathan (Strata + Hadoop World 2016)" O'Reilly Media (2016-03-31) by Mac Slocum
- «Cinco preguntas de Big Data para Paco Nathan» Paradigma (2015-11-24) by Rubén Martinez
- "Spark and Databricks change the data playing field" SiliconANGLE (2015-06-17) by Heather Johnson, John Furrier, George Gilbert
- "Computational Thinking": Just Enough Math webcast O'Reilly Media (2014-06-04)
- "Exclusive Paco Nathan Interview", KDnuggets (2014-03) by Anmol Rajpurohit
- "Is Data Scientist the right career path for you? Candid advice", KDnuggets (2014-03) by Anmol Rajpurohit
- "Here's why Python and Scala aren't old news in the world of data science" VentureBeat (2013-12-03) by J. O'Dell
- "Hadoop, Mesos, Cascading, Scalding, Cascalog and Data Science", All Things Hadoop (2013-07-30) by Joe Stein
- "Grokking Big Data with Paco Nathan", Follow The Data (2012-09-06) by Mikael Huss, Joel Westerberg
- "Albert is top talking computer", BBC News (1999-01-28)
- "Rich Context in the Administrative Data Research Facility", NYU Coleridge Initiative (2019-07-19)
- "Security in the Administrative Data Research Facility", NYU Coleridge Initiative (2019-07-19)
- "Data Stewardship in the Administrative Data Research Facility", NYU Coleridge Initiative (2019-07-19)
- "Whitepaper: Agricultural Systems + Data Outlook 2014", The Data Guild (2014)
- "Pattern: PMML for Cascading and Hadoop" KDD (2013): paper with Girish Kathalagiri presented in the PMML workshop
- "FRED, Milton and Barry: the evolution of intelligent agents for the Web", Advances in intelligent systems (1997) pp 400-407
- "Top 30 People in Big Data and Analytics" Innovation Enterprise (2015)
- "Most Innovative Apple Technology Performance Demo" for Symbiot iSIMS (runner-up), Apple Design Award (2004)
- "NISOD Award for Teaching Excellence" as Adjunct Professor (network security) at Austin Community College, NISOD.org (2003)
- "Systems and methods for managing a persistent virtual avatar with migrational ability", USPTO (2006-11-16)
- "Systems and methods for an autonomous avatar driver", USPTO (2007-03-06) granted
- "Systems and methods for authenticating an avatar", USPTO (2006-11-16) granted
- "NLRB v. Motorola: A Narrow Interpretation of the Mutual Aid or Protection Clause of the National Labor Relations Act", Bill Hylen, 26 Ariz. St. L.J. 253 (1994)
- "Dangerzone: Linux Top Gun", Austin Chronicle (2002-09-06)
- "FringeWare Chronology", Laughing Bone (1992-1996)
-
"Robert Anton Wilson in Austin",
Church of the SubGenius (1998-12-05)
[ mic derp, FringeWare+SubGenius PR ] - "Bag Day": nationwide anti-corporate protest of Barnes & Noble, FringeWare+RTmark (1998-11-23)
- "Short Cuts" (FringeWare Film Festival), Austin Chronicle (1998-10-02)
-
"The Unexpected Destruction of Elaborately Engineered Artifacts",
Survival Research Labs (1997-03-28)
[ SRL site, FringeWare+SubGenius PR ] - "Postcards from the Fringe", Austin Chronicle (1997-02-28)
- "虚幻世界 / Xūhuàn shìjiè" Derwen (2017-02-25)
- "Sweet Home Al-Obama" Derwen (2017-02-12)
- "Third Thoughts", Derwen (2017-01-14)
- "Sunrise over the Playa", Derwen (2017-01-13)
- "Olgarithms", Derwen (2017-01-01)
- "The Nearest Ballroom Foyer", Derwen (2016-12-31)
- "1:1", Derwen (2016-12-31)
- "Heptagrammaton", Derwen (2016-09-25)
- "Hylburt Speys" Derwen (2016-08-22)
- "Guaranteed Basic Income (cynical remix)", Derwen (2016-07-04)
- Liber 118: The Battle of Oakland, Liber 118 Press (2012)
- "nEuroRancid", The Locus Index to Science Fiction: 1984-1998 (1995)
- "Magic and the Corporation", Expanding Mind with Erik Davis (2012)
- "Liber 118 U.S. 394, non-fiction archives"
- Sind Unternehmen die besseren Menschen?, Grüne Kraft (2004)
- "The Corporate Body: Liber 118 U.S. 394", Signum (2002)
- "Corporate Metabolism", Tripzine #6 (2001)
- "Chasing Egregors", The Scarlet Letter (2001-03-18) vol VI #1
- "Bees In Space" board game, Derwen (2017)
- "Zine!" video game (design by Claudia Newell), bOING-bOING (1993) issue 11, pp 44-49
- LoTR: The Two Towers video game, Interplay (1992)