Paco Nathan, Managing Partner at Derwen, Inc., and author of Latent Space, along with other books, plus popular videos and tutorials about machine learning, natural language, graph technologies, and related topics. Known as a "player/coach", with +40 years tech industry experience, ranging from Bell Labs to early-stage start-ups. Werner Herzog is his spirit animal.
Board member for Argilla.io; Advisor for KUNGFU.AI, DataSpartan, Kurve.ai; Lead committer on PyTextRank, kglab. Formerly: Director, Community Evangelism for Apache Spark at Databricks.
Long, long ago, when the world was much younger, Paco led a media collective / indie bookstore / performance art space / large online community called FringeWare. Beginning in 1992, this was one of the first online bookstores and likely the first commercial use of a chat bot on the Internet.
- 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,
MLOps.community,
GraphGeeks
-
Entity Resolved Knowledge Graphs: A Tutorial
Neo4j (2024-04-22) -
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)
-
"Validating RDF data with SHACL in Kùzu"
KùzuDB blog (2024-04-19) with Prashanth Rao -
"Entity Resolved Knowledge Graphs: How They Work and Why They Matter"
Senzing (2024-04-08) -
"Data mesh: the beginning, revisited"
Nextdata (2024-03-26) -
"Graphs for Inference"
Derwen (2024-02-19) -
"Graph Levels of Detail"
Derwen (2023-11-12) -
"Useful Reviews, 2023-10-20"
Derwen (2023-10-25) -
"Graph ML meets Language Models"
Derwen (2023-10-16) -
"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) - "Secret Service on Trial" 2600 Hacker Quarterly (1993-03-01) 10(1):18
-
"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
- ERKG, GitHub (2024-03-18): Demonstrate integration of Senzing and Neo4j to construct an Entity Resolved Knowledge Graph
- TextGraphs, GitHub (2023-11-22): TextGraphs + LLMs + graph ML for entity extraction, linking, ranking, and constructing a lemma graph
- kuzu-rdflib, GitHub (2023-04-11): An integration of KùzuDB and RDFlib
- 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.
- "Episode 17: Understanding Real-World Applications of Graph Neural Networks", Hidden Layers podcast (2024-04-24) with Ron Green, Steve Kramer
- "Monthly Roundup: New LLMs, GTC 2024, Constraint-Driven Innovation, Model Safety, and GraphRAG", The Data Exchange podcast (2024-04-18) with Ben Lorica
- "Frontiers of AI: From Text-to-Video Models to Knowledge Graphs", The Data Exchange podcast (2024-03-14) with Ben Lorica
- "Bridging Innovation and Open Source to the Real World with Paco Nathan", Catalog and Cocktails podcast (2024-02-08) with Juan Sequeda, Tim Gasper
- "An introduction to Enterprise AI", TextMine whitepapers (2024-01-31) with Charles Brecque
- "Language, Graphs, and AI in Industry // Paco Nathan // MLOps Podcast #201 ", MLOps.community podcast (2024-01-05) with Demetrios Brinkmann
- "Paco Nathan: Overview of the AI Tech Stack and Business Ecosystem", Content+AI podcast (2023-11-01) with Larry Swanson
- "automated talk: Paco Xander Nathan", markenmut blog (2023-10-06) with Tobias Voigt
- "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)