Data Conference Databasea Query.Farm index
Companies

University of Washington

Product category: Not a vendor 98% confident
Org type: University / research 100% confident
Also listed as 119 other names

The University of Auckland · The University of Auckland Business School · The University of Chicago · The University of Edinburgh · The University of Melbourne · The University of Queensland · The University of Sydney · The University of Texas · The University of Texas at Austin · The University of Tokyo · The University of Western Australia · The University of auckland · UNIVERSITY OF OXFORD · University Wisconsin-Madison · University of Arizona · University of Auckland · University of Auckland Business School · University of Bristol · University of Bristol / Google DeepMind · University of British Columbia · University of British Columbia; Vector Institute; DeepMind · University of Buenos Aires · University of California · University of California - Berkeley · University of California San Francisco (UCSF) · University of California, San Francisco · University of Cambridge · University of Cambridge / TU Valencia · University of Cambridge; Korbit AI · University of Chicago · University of Colorado · University of Copenhagen · University of Edinburgh · University of Edinburgh (EDINA) · University of Edinburgh / RelationalAI · University of Edinburgh / Shenzhen Institute of Computing Sciences · University of Edinburgh / University of Cyprus · University of Exeter · University of Florida · University of Florida Dept of Biostatistics · University of Florida, Department of Biostatistics · University of Fribourg · University of Fribourg, Switzerland · University of Groningen · University of Kansas · University of Leeds · University of Limerick · University of Liverpool · University of Ljubljana · University of Ljubljana / Statistical office of Slovenia · University of Maryland · University of Maryland / LMU Munich · University of Maryland Baltimore · University of Maryland at College Park · University of Maryland/ NASA Harvest · University of Massachusetts Amherst · University of Massachusetts, Amherst · University of Melbourne · University of Melbourne School of Computing and Information Systems · University of Michigan · University of Michigan (Michigan Institute for Data Science) · University of Michigan - Ann Arbor · University of Michigan Ross School of Business · University of Minnesota · University of Montreal · University of Montréal · University of Newcastle · University of Oslo · University of Oxford · University of Oxford / RelationalAI · University of Oxford / Twitter · University of Oxford, Future of Humanity Institute · University of Pennsylvania · University of Pittsburgh · University of Pécs · University of Queensland · University of Queensland EECS · University of Southern California · University of Southern California (ISI) · University of Sydney · University of Texas · University of Texas at Austin · University of Texas; Kyndryl; Clutch VC · University of Tokyo · University of Tokyo (PhD student); professional shogi player · University of Toronto · University of Toronto Data Sciences Institute · University of Toronto MScAC · University of Tübingen · University of Utah · University of Vermont · University of Vermont (VERSO - Vermont Research Open Source Program Office) · University of Virginia · University of Virginia (Emerita) · University of Virginia, School of Data Science · University of Waikato · University of Waikato / Télécom ParisTech · University of Warsaw · University of Warwick · University of Washington / AI2 · University of Washington / Ai2 · University of Washington / Meta · University of Washington Tacoma School of Engineering & Technology · University of Washington eScience Institute · University of Washington; AI2 · University of West Florida · University of West Florida (UWF) · University of Western Australia · University of Wisconsin - Eau Claire · University of Wisconsin - Madison · University of Wisconsin - Madison, Space Science and Engineering Center · University of Wisconsin Madison · University of Wisconsin – Madison · University of Wisconsin, Madison · University of Wisconsin-Madison · University of Wisconsin–Madison · University of Wisconsin—Madison · the University of Liverpool · the University of Pennsylvania

Conferences sponsored12
Events sponsored22
Speaker slots534430 distinct people
Conferences present at84sponsor or speaker
Years active2019–2027

Circuit mix

Where University of Washington shows up, by circuit. Each event counts once: 2 if it sponsored, 1 if it only had speakers. Hover a segment for the conference.

The year around now

Conferences where University of Washington sponsored or had speakers in the past 12 months, and the announced events it is already listed for. One row per conference, January to December; hover a mark for the event and the company's role.

JanFebMarAprMayJunJulAugSepOctNovDecCIDRCIDR (Conference on Innovative Data Systems Research)AAAIAAAI Conference on Artificial IntelligenceDuckDB meetupsDuckDB meetupsFOSDEMFOSDEMApache DataFusion MeetupApache DataFusion MeetupCDAO (Chief Data & Analyti…CDAO (Chief Data & Analytics Officer) SummitsNVIDIA GTCNVIDIA GTCQConQConPyDataPyDataMLConMLCon (ML Conference)ODSCODSC (Open Data Science Conference)IEEE ICDEIEEE ICDE (International Conference on Data Engineering)MLSysMLSys (Conference on Machine Learning and Systems)Berlin BuzzwordsBerlin BuzzwordsTMLSToronto Machine Learning Summit (TMLS)CNG ForumCNG Forum (Cloud-Native Geospatial Conference)DuckConDuckConAI EngineerAI Engineer (World's Fair, Summit and regional editions)ACLACL (Annual Meeting of the Association for Computational Linguistics)useR!useR! (The R User Conference)SciPy ConferenceSciPy Conference (Scientific Computing with Python)JSMJSM (Joint Statistical Meetings)JuliaConJuliaConPyConPyCon (national Python conferences)State of the MapState of the MapFOSS4GFOSS4Gposit::confposit::conf (formerly rstudio::conf)Big Data LDNBig Data LDNData DecodedData DecodedData in the D ConferenceData in the D ConferenceEMNLPEMNLP (Conference on Empirical Methods in Natural Language Processing)SatSummitSatSummitCompute!Compute!AJCAIAJCAI (Australasian Joint Conference on Artificial Intelligence)AWS re:InventAWS re:InventNeurIPSNeurIPS (Conference on Neural Information Processing Systems)ACMLACML (Asian Conference on Machine Learning)
Held in the past 12 months Next 12 months Today, Nov 10, 2026

Presence by conference and year

Each cell is one conference in one year. Fill shows the company sponsored, shaded by its best tier that year; a dot means it had speakers there. Hover for details; click to open the event.

  • Title
  • Platinum
  • Gold
  • Silver
  • Bronze
  • Other / unlabeled tier
  • Had speakers
Conference20192020202120222023202420252026
CIDR (Conference on Innovative Data Systems Research)
PyCon (national Python conferences)
SciPy Conference (Scientific Computing with Python)
JSM (Joint Statistical Meetings)
PyData
FOSS4G
CDAO (Chief Data & Analytics Officer) Summits
Toronto Machine Learning Summit (TMLS)
JuliaCon
posit::conf (formerly rstudio::conf)
AJCAI (Australasian Joint Conference on Artificial Intelligence)
AAAI Conference on Artificial Intelligence
FOSDEM
ODSC (Open Data Science Conference)
State of the Map
EDBT/ICDT Joint Conference
ACM SIGMOD/PODS (International Conference on Management of Data)
Disney Data & Analytics Conference
IEEE ICDE (International Conference on Data Engineering)
useR! (The R User Conference)
SatSummit
Data Con LA
ACL (Annual Meeting of the Association for Computational Linguistics)
Big Data LDN
The AI Summit
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
Spatial Data Science Conference (SDSC)
ACML (Asian Conference on Machine Learning)
Data Day Texas
EMNLP (Conference on Empirical Methods in Natural Language Processing)
PyTorch Conference
JupyterCon
CNG Forum (Cloud-Native Geospatial Conference)
IEEE VIS (IEEE Visualization and Visual Analytics)
NeurIPS (Conference on Neural Information Processing Systems)
AWS re:Invent
CVPR (IEEE/CVF Conference on Computer Vision and Pattern Recognition)
MIT CDOIQ Symposium
Data Governance & Information Quality Conference (DGIQ)
Data Innovation Summit
DuckDB meetups
MLOps World (Machine Learning in Production)
MLSys (Conference on Machine Learning and Systems)
NVIDIA GTC
VLDB (International Conference on Very Large Data Bases)
Berlin Buzzwords
EuroPython
Google Geo for Good Summit
ICML (International Conference on Machine Learning)
PostgreSQL Conference Europe (PGConf.EU)
Qlik Connect
Snowflake Summit
Women in Data Science (WiDS) Conference
World AI Cannes Festival (WAICF)
Budapest Data+AI Forum
FOSS4G North America
Data in the D Conference
ElasticON (Elastic{ON} Tour)
New York R Conference (now The New York Data Science & AI Conference)
O'Reilly Artificial Intelligence Conference
Ray Summit
STAC Summit
AI Con USA
AI Engineer (World's Fair, Summit and regional editions)
Alternative Data Conference
Apache DataFusion Meetup
Compute!
Data + AI Summit
Data Council
Data Decoded
Data Outpost
Data Universe
DataWorks Summit
DuckCon
Enterprise Data World (EDW)
Haystack
ISWC (International Semantic Web Conference)
MLCon (ML Conference)
PGConf.dev (formerly PGCon)
PrestoCon
QCon
SQLSaturday
Strata Data Conference
The Texas AI Summit

Activity by year

Three measures on one year axis; each panel has its own scale.

Conferences present at

Distinct conferences each year, split by whether the company sponsored or only had speakers there.

  • Sponsored
  • Speakers only

Distinct speakers

People from this company on a program that year, each counted once.

Sponsorships by tier

Sponsorship rows per year (one per event and listing), stacked by normalized tier.

  • Platinum
  • Silver
  • Other / unlabeled

Where they've grown or pulled back

FlatSponsored 3 conferences in 2026, flat from 3 in 2023.

Counted per conference. 2026 is the latest year whose conferences have mostly happened. Tiers use the best tier each year; swatches show the path, oldest first. A conference counts as pulled out only when a later event published a complete sponsor list, since most events don’t say whether their list is complete.

New 2

First sponsored in 2025 or later.

Pulled out 4

Not sponsored since 2024 or earlier, though a later event published a complete sponsor list without them.

Steady 3

Sponsored in most years of its span at the same tier.

Once or on and off 3

No clear direction, or a gap we can’t confirm because later sponsor lists are incomplete.

Lookalikes

Companies with the most similar conference footprint: they sponsor and speak at the same conferences. Bars are cosine similarity, from 0 (nothing shared) to 1 (identical).

  1. Stanford University0.85
  2. Meta0.80
  3. IBM0.77
  4. Carnegie Mellon University0.76
  5. ETH Zurich0.76
  6. Harvard University0.75
  7. Google0.74
  8. Massachusetts Institute of Technology0.70

14 Cluster: JSM · useR! circuit →

Often sponsors alongside

Companies that sponsored the same events, by number of shared events (out of 22 this company sponsored).

Neighborhood: companies with nearby conference footprints

University of Washington (ringed) and the 30 companies closest to it on the company map. Close together means they sponsor and speak at many of the same conferences. Distances are only meaningful locally; the axes have no meaning. Dot size: conferences present at. Color: cluster.

University of WashingtonMassachusetts Institute of TechnologyCarnegie Mellon UniversityHarvard UniversityUC BerkeleyMetaCornell UniversityETH ZurichGeorgia Institute of TechnologyNew York UniversityEPFLTwo SigmaColumbia UniversityJPMorgan ChaseMITNortheastern UniversityBrown UniversityThe Ohio State UniversityTsinghua UniversitySpringer NaturePennsylvania State UniversityTel Aviv UniversityThe George Washington UniversityNational Security AgencyElsevierRice University
University of WashingtonCarnegie Mellon UniversityHarvard UniversityUC BerkeleyMetaCornell UniversityETH ZurichPrinceton UniversityGeorgia Institute of TechnologyNew York UniversityEPFLTwo SigmaColumbia UniversityBloombergMITNortheastern UniversityTsinghua UniversitySpringer NaturePennsylvania State UniversityTel Aviv UniversityElsevier

Sponsorships 22

EventDatePlaceTier as listedNormalized tier
NeurIPS 2026 (Sydney)Dec 6–12, 2026Sydney, AustraliaSilver Pavilion Silver
JSM 2026 (Joint Statistical Meetings)Aug 1–6, 2026Boston, United StatesExhibitor Other
ACL 2026 (64th Annual Meeting of the ACL)Jul 2–7, 2026San Diego, United StatesAcademic Ally Other
PyData Vermont 2025Oct 21–22, 2025Burlington, United StatesHost Other
JSM 2025 (Joint Statistical Meetings)Aug 2–7, 2025Nashville, United StatesExhibitor Other
JuliaCon 2025Jul 22–26, 2025Pittsburgh, United StatesLocal Partners Other
SciPy 2025Jul 7–13, 2025Tacoma, United StatesSprints Host Other
AJCAI 2024Nov 25–29, 2024Melbourne, AustraliaSponsor (proceedings preface) Other
JSM 2024 (Joint Statistical Meetings)Aug 3–8, 2024Portland, United StatesExhibitor Other
PyData Vermont 2024Jul 29–30, 2024Burlington, United StatesHost Other
SciPy 2024Jul 8–14, 2024Tacoma, United StatesSprints Sponsor Other
AJCAI 2023Nov 28, 2023 – Dec 1, 2023Brisbane, AustraliaSponsor (proceedings preface) Other
IEEE VIS 2023Oct 22–27, 2023Melbourne, AustraliaPearl Other
TMLS 2023Jun 12–14, 2023Toronto, CanadaStartup Corner Startup
JSM 2022 (Joint Statistical Meetings)Aug 6–11, 2022Washington, United StatesExhibitor Other
Budapest ML Forum 2022May 3–4, 2022Budapest, HungaryAcademic Partner Community
TMLS 2021 Annual Virtual ConferenceNov 15–18, 2021—Partners Community
Big Data LDN 2019Nov 13–14, 2019London, United KingdomExhibitor Unlabeled
IEEE VIS 2019Oct 20–25, 2019Vancouver, CanadaPearl Other
JSM 2019 (Joint Statistical Meetings)Jul 27, 2019 – Aug 1, 2019Denver, United StatesExhibitor Other
JuliaCon 2019Jul 22–26, 2019Baltimore, United StatesPlatinum Platinum
The AI Summit London 2019Jun 12–13, 2019London, United KingdomResearch & Association Partners Community

Speakers 534

Showing the 200 most recent of 534 speaker slots.

SpeakerEventRoleTalkLinks
Dan HartCDAIO Sydney 2027speakerThe AI Operating Model: Who Owns What?—
Barzan MozafariCIDR 2027paperBEGIN AI TRANSACTION: Semantic Isolation for Durable AI Workflows—
Donna PhamCIDR 2027paperRethinking Document Indexing for LLM-based Analysis—
El Kindi RezigCIDR 2027paperDataflow-Oriented Debugging for Data Science Pipelines—
Hasara KaluminCIDR 2027paperWhen the Application Layer Is Disposable: Putting Integrity Constraints Back in the Database—
Moe KayaliCIDR 2027paperQuery Blueprints for Querying Opaque Schemas—
Simon FriskCIDR 2027paperReclaiming the GPU's Forgotten Half: Getting Your Join's Mojo Back with Tensor Cores—
José Hernández-OralloNeurIPS 2026 (Sydney)keynoteThe Future of AI Evaluation—
Shannon VallorNeurIPS 2026 (Sydney)keynoteThe Knowledge Box: AI and Epistemic Dispossession—
Mike WestwoodAWS re:Invent 2026breakoutAI Assistant for Public Sector: Governance Without Compromise with Amazon Quick—
Ranjay KrishnaAWS re:Invent 2026chalk talkVisual reasoning will be bigger than language reasoning—
Albert BifetAJCAI 2026keynote——
Yun Sing KohAJCAI 2026keynote——
Tim WeilandCompute! Paris 2026speakerStop brute-forcing your posteriors: structured Bayesian inference in Julia—
Catherine Nakalembe, PhDSatSummit St. Louis 2026speakerState of Play—
Maia Tarnas, PhDSatSummit St. Louis 2026speakerEO In Action—
Anna KorhonenEMNLP 2026keynoteAI for the Many: Starting from the World, Not the Model—
Marina MartynenkoData in the D Conference 2026lightningAI is Not the Hard Part: Lessons from Building AI Enablement in a Large Institution—
Marina MartynenkoData in the D Conference 2026panelistData Leadership Panel—
Hanna EarlsData Decoded MCR 2026speakerSpeaking Finance: From Data Strategy to Business Priority—
Matt PriceCNG Forum 2026speaker——
Matthew HaffnerCNG Forum 2026speaker——
Joel ThorntonCNG NYC 2026panelistPanel: Climate Data 2.0 — Disruptive Approaches to Expanding Data for Modeling, AI Validation, and Governance—
Marcus du SautoyBig Data LDN 2026featuredAI: Promise or Peril?—
Kaitlyn Houselposit::conf(2026)speakerInterpretable NLP for Clinical Imaging: Using tidymodels and Lasso-Regularized Text Models to Classify Pleural Effusion Impressions in R—
Morten Dallposit::conf(2026)speakerHow Shiny changed data analysis at the Metabolism Center—
Ryan MarinelliPyData Amsterdam 2026tutorialStop Early, Decide Smarter: Bayesian Sequential Testing for LLM Benchmarking—
Jesse WhiteheadFOSS4G 2026speakerImpactful Data: International cooperation to increase the value of open-source data & software including in hazard scenarios—
Saba ZehraFOSS4G 2026workshopVisualising Future Climate Projections with Open-Source Python (From CMIP6 Data to Interactive Web Maps)—
Stephanie MayFOSS4G 2026workshopCustom tile servers with MapLibre/Martin/Planetiler - base and overlays Workshop—
Takashi OguchiFOSS4G 2026speakerImplementation and evaluation of geography education using QGIS for Japanese high school students—
Yoko MoriyoshiFOSS4G 2026keynoteMemory, Technology, and Peace — Rebooting Memories and Geospatial Technology—
Yuta SatoFOSS4G 2026speakerCity2Graph: Open Source Python Library for GeoAI with Graph Neural Networks—
Yuta SatoFOSS4G 2026workshopGeoAI in Practice: From Geospatial Data to Graph Neural Networks with City2Graph—
Carlos CámaraState of the Map 2026speakerWhose Knowledge Counts? Analysing Diversity and Exclusion in OpenStreetMap's Tagging Proposals Process—
Nomin EnkhtamirState of the Map 2026speakerIndoor Mapping Potential in OpenStreetMap: Estimating the Amount of Publicly Accessible Indoor Spaces Across European Cities—
Alison WongPyCon AU 2026talkStudent ShowcaseVideo
Stephen TierneyPyCon AU 2026talkFeed-Forward, Not Feedback: Rethinking Project Based AssessmentVideo
Anthony MiccicheJuliaCon Global 2026speakerQuantum Hamlets: Distributed Compilation of Large Algorithmic Graph States—
Feroz Ahmed MianJuliaCon Global 2026speakerMultivariate Multicycle codes for Complete Single-shot decoding—
Greg MundayJuliaCon Global 2026speakerDifferentiable Climate Modeling: Calibrating SpeedyWeather with Enzyme—
Greg MundayJuliaCon Global 2026speakerA learned surface roughness scheme for climate prediction in SpeedyWeather.jl—
James CassJuliaCon Global 2026speakerHydrodynamics of composable active structures with MicroSwimmers.jl—
Joseph KumpJuliaCon Global 2026speakerDJ4Oceananigans: Differentiating an ocean general circulation model for gradient-based parameter calibration and online learning—
Mantas MikaitisJuliaCon Global 2026speakerAccuracy of Mathematical Functions in Julia—
Martin MikkelsenJuliaCon Global 2026speakerTestability-First Design for Few-Body Systems Physics—
Milan KlöwerJuliaCon Global 2026speakerThe GPU acceleration of SpeedyWeather.jl, the friendly and flexible climate model—
Milan KlöwerJuliaCon Global 2026speakerDifferentiable Climate Modeling: Calibrating SpeedyWeather with Enzyme—
Milan KlöwerJuliaCon Global 2026speakerA learned surface roughness scheme for climate prediction in SpeedyWeather.jl—
Milan KlöwerJuliaCon Global 2026speakerSpeedyWeather.jl: Towards a differentiable and GPU-capable general circulation model—
Sarah WilliamsonJuliaCon Global 2026bofDifferentiable Modeling BoF: Discussion and Future Directions—
Sarah WilliamsonJuliaCon Global 2026speakerOnline calibration of a Neural Network Parameterization in ShallowWaters.jl—
Tim WeilandJuliaCon Global 2026speakerScalable Bayesian Spatial Modeling in Julia with GMRFs and INLA—
Peter McCullaghJSM 2026 (Joint Statistical Meetings)named lectureWhat Is a Regression Model?—
Sallie KellerJSM 2026 (Joint Statistical Meetings)named lectureRethinking Statistical Quality in a Data-Rich World: A Comprehensive Life Cycle Framework—
Matthew FeickertSciPy 2026tutorialReproducible CUDA Accelerated Workflows for Scientists with Pixi (Room HSEC 2-138)—
Matthew FeickertSciPy 2026bofSecuring the Scientific Python Supply Chain (in Heritage Gallery Room)—
Matthew FeickertSciPy 2026bofLockfile-based development and applications—
Aleksander JankowskiuseR! 2026lightningGO-a-GO: Gene Ontology enrichment analysis of gene pairs—
Brittany BlankinshipuseR! 2026workshopLeaRn and teach at the same time with Pair Programming – code storytelling activity—
Brittany BlankinshipuseR! 2026lightningHow many coders does it take to write a book? Teaching Programming Across Disciplines is out now!—
H. Sherry ZhanguseR! 2026posterAn LLM-based Pipeline for Understanding Decision Choices in Data Analysis from Published Literature—
Henrik BengtssonuseR! 2026speakerFuturize - Tearing Down Parallelization Barriers in R with Transpilers—
Henrik BengtssonuseR! 2026workshopIntroduction to Parallel Processing in R using Futureverse - Easier than Ever Before—
Janez BijecuseR! 2026lightningFrom Administrative Data to Interactive Healthcare Benchmarking: An End-to-End R Workflow—
Katarzyna KopczewskauseR! 2026workshopModelling spatial density of geo-located point data—
Matthew HaffneruseR! 2026lightningR as Complete Teaching Infrastructure: Automating and Enriching University Geography Education—
Ozancan OzdemiruseR! 2026posterFinDash Pro: An Integrated R Shiny Dashboard for Real-Time Financial Analysis, Machine Learning Forecasting, and LLM-Augmented Decision Support—
Pawel OrzechowskiuseR! 2026lightningHow many coders does it take to write a book? Teaching Programming Across Disciplines is out now!—
Pawel OrzechowskiuseR! 2026workshopLeaRn and teach at the same time with Pair Programming – code storytelling activity—
Sinead MoylettuseR! 2026lightningEvaluating imputation strategies for longitudinal cohort studies—
Wang Pok LouseR! 2026posterVisualisation of results from large simulation studies: introducing the multi-performance plot and its Shiny app—
Philip ResnikACL 2026 (64th Annual Meeting of the ACL)keynoteA New Balancing Act: Reflections on the Relationship between Computational Linguistics and AI—
Arunachalam ManikandanAI Engineer World's Fair 2026speakerAutoresearch in a Multi-Agent AI Village—
Virginie GrosboillotDuckCon #7talkPhages and DuckDB: The mighty duo against the giants—
Anil MadhavapeddyCNG London 2026speakerTESSERA: Pixelwise Embeddings of Earth Observations—
Ross SlaterCNG London 2026lightning talkGoing Cloud-Native without the Cloud: Lessons Learned from Antarctic Ice Dynamics—
Muhammad Mamdani10th Annual Toronto Machine Learning Summit (TMLS) 2026speakerArtificial Intelligence in Healthcare: From Promise to Practice—
Steven Waslander10th Annual Toronto Machine Learning Summit (TMLS) 2026speakerReasoning Robots: Open World Navigation and Memory for Agentic Robots—
Emilie MaBerlin Buzzwords 2026talkCorrectness Too Cheap To Meter: Formal Verification and LLMsSlides · Video
Andrew IgdalPyData London 2026talkWhat Can LLMs Do with Messy Residential Electrification Data?—
Nick RadcliffePyData London 2026tutorialTest-Driven Data Analysis—
Luke ZettlemoyerMLSys 2026keynoteRethinking Pretraining: Data and Architecture—
Yuhan LiuMLSys 2026keynoteLMCache: An Efficient KV Cache Layer for Enterprise-Scale LLM Inference—
Arya Hadizadeh MoghaddamICDE 2026 (42nd IEEE International Conference on Data Engineering)industry paperUser-Adaptive Meta-Learning for Cold-Start Medication Recommendation with Uncertainty Filtering—
Pedro DomingosODSC AI East 2026keynote——
Lorenzo Satta ChirisMLcon Amsterdam 2026speakerAURA: A Practical Risk Framework for Autonomous AI Agents—
Sarah MasudPyCon DE & PyData 2026talkTracking Knowledge Diversity in LLM-Generated Responses.—
Hanna HajishirziGTC 2026featured——
Martin KleppmannQCon London 2026keynoteMitigating Geopolitical Risks with Local-First Software and atproto—
Omar GhattasGTC 2026featured——
Xiangpeng HaoSan Francisco Apache DataFusion Meetup (February 2026)speakerLiquidCache: Pushdown Caching for DataFusionVideo
Danfeng ZhangFOSDEM 2026speakerAll in RISC-V, RISC-V All in AI: Solving Real AI Compute Challenges with DeepComputing & TenstorrentVideo
Denis HirnDuckDB Developer Meeting #1talkDuckPL: A procedural language in DuckDBSlides · Video
Alan MackworthAAAI-26 (40th AAAI Conference on Artificial Intelligence)keynoteThe Essence of Intelligence is Appropriate Action (not thinking, reasoning, learning or language) and other things every student of AI should know—
David PooleAAAI-26 (40th AAAI Conference on Artificial Intelligence)keynoteThe Essence of Intelligence is Appropriate Action (not thinking, reasoning, learning or language) and other things every student of AI should know—
Peter StoneAAAI-26 (40th AAAI Conference on Artificial Intelligence)keynoteFrom How to learn to What to learn in Multiagent Systems and Robotics—
Amir ShaikhhaCIDR 2026paperRaqlet: Cross-Paradigm Compilation for Recursive QueriesSlides · Paper
Bobbi YogatamaCIDR 2026paperRethinking Analytical Processing in the GPU EraSlides · Paper
El Kindi RezigCIDR 2026paperTowards Scalable Visual Data Wrangling via Direct ManipulationSlides · Paper
Guorui XiaoCIDR 2026paperKathDB: Explainable Multimodal Database Management System with Human-AI CollaborationSlides · Paper
Muhammad Imam Luthfi BalakaCIDR 2026paperThe Pneuma Project: Reifying Information Needs as Relational Schemas to Automate Discovery, Guide Preparation, and Align Data with IntentSlides · Paper
Ryan MarcusCIDR 2026paperSurvivorship Bias in Industrial Database WorkloadsSlides · Paper
Alexander OonkPyData Eindhoven 2025talkFootball is complex, but your code doesn’t have to be — meet DataBallPy and a practical deep dive into pressingVideo
Craig KnoblockACML 2025keynoteFrom Tables to Knowledge Graphs: A Domain-Independent Approach to Semantic Table Interpretation—
Tygo NikampPyData Eindhoven 2025talkFootball is complex, but your code doesn’t have to be — meet DataBallPy and a practical deep dive into pressingVideo
George TownsendFOSS4G 2025speakerMeasuring Soil Moisture With GPS Multipath and Open Source Software?—
Martin TomkoFOSS4G 2025speakerConfessions of a Natural Intelligence Vibe Coder?—
Martin TomkoFOSS4G 2025speakerA Digital Twin of 80km of streetscapes, with FOSS4G? Sure!—
Michel Nzikou MamboukouFOSS4G 2025speakerAutomatic map deconstruction using QGIS: Leveraging open-source algorithms such as map2loop and LoopStructural—
Michel Nzikou MamboukouFOSS4G 2025workshopQGIS PLUGIN DEVELOPMENT Workshop—
Shivam TiwariSQLSaturday Houston #1120—SQL-Driven Financial Crime Detection: Advanced Analytics for Transaction Monitoring—
Ojas Ankurbhai RamwalaPyData Seattle 2025speakerExplainable AI for Biomedical Image ProcessingVideo
Hannaneh HajishirziEMNLP 2025keynoteOpen-Science AI: Building Language, Vision, and Reasoning Models that Drive Innovation—
John R HoopesFOSS4G North America 2025speakerAstral: A spatial extension for the decentralized web—
Nishant KheterpalJupyterCon 2025lightning talkLightning Talk: RISE and Shine: Teaching With Jupyter Notebooks in Real Time—
Prof Leo PaasCDAO New Zealand 2025speaker——
Simona CariniJupyterCon 2025tutorialTutorial: Jupyter for Health: Exploring Patient Generated Health Data, Standards, Tools, AI WorkflowsSlides
Suraj RampureJupyterCon 2025lightning talkLightning Talk: RISE and Shine: Teaching With Jupyter Notebooks in Real Time—
Tasha Marie SnowJupyterCon 2025speakerBuilding a Thriving Scientific Community Without Boundaries: Jupyter as a Process, Not a Product—
Taylor M. OshanFOSS4G North America 2025speakerAstral: A spatial extension for the decentralized web—
Taylor M. OshanFOSS4G North America 2025speakerAdvancing the Python Geospatial Stack: Building Community Across Domains—
Ganesh GopalakrishnanPyTorch Conference 2025posterPoster Presentations: Ecosystem & Performance—
Harvey DamPyTorch Conference 2025posterPoster Presentations: Ecosystem & Performance—
Jie-Si YangPyTorch Conference 2025posterPoster Presentations: Ecosystem & Performance—
Junchen JiangPyTorch Conference 2025speakerScaling KV Caches for LLMs: How LMCache + NIXL Handle Network and Storage Heterogeneity—
Matt ArcherPyTorch Conference 2025lightning talkLightning Talk: FTorch: A Library To Couple PyTorch ML Models With Fortran Climate Models—
Ranganath SelagamsettyPyTorch Conference 2025posterPoster Presentations: Edge & Hardware Acceleration—
Yuxuan JiangPyTorch Conference 2025posterPoster Presentations: Ecosystem & Performance—
Abby CrockerPyData Vermont 2025speakerTrust in Data: Community Partnership for Meaningful Change—
Ashley FehrPyData Vermont 2025speakerContext is all you need: FUNdamental linguistics for NLPVideo
Ben CooleyPyData Vermont 2025tutorialThe Art of Data: Hand-crafted, Human-centered Data VisualizationVideo
Cameron MurdochPGConf.EU 2025 (15th PostgreSQL Conference Europe)speakerPatroni: what the blog posts don't tell you...Slides · Video
Fitz KochPyData Vermont 2025speakerOpen Source Vermont Data Platform: Access, Analysis, and VisualizationVideo
Julia Witte ZimmermanPyData Vermont 2025speakerContext is all you need: FUNdamental linguistics for NLPVideo
Alex SingletonSpatial Data Science Conference 2025 New YorkspeakerDeep Learning for Next-Generation Geodemographic Classification—
Vaibhav AgrawalCDAO Perth 2025speaker——
Paul PickellState of the Map 2025speakerLessons from teaching OpenStreetMap in a masters program—
Lucas ColleyPyData Paris 2025talkA Hitchhiker's Guide to the Array API Standard EcosystemVideo
Dr Robert EsnoufBig Data LDN 2025keynoteAccelerating biomedical research at the University of Oxford—
Dom WeldonPyCon UK 2025talkWhy, and how, all your Python code should be Declarative in the Age of Generative AI—
Claus Wilkeposit::conf(2025)speakerTeaching data visualization with R entirely in QuartoVideo
Dylan Pieperposit::conf(2025)speakerFrom messy to meaningful data: LLM-powered classification in RVideo
Ella Kayeposit::conf(2025)lightningBirthing the pregnancy packageVideo
Eric Scottposit::conf(2025)lightningEnabling geospatial workflow management with targets: an R package origin storyVideo
Kylie Ainslieposit::conf(2025)speakerElevating Public Health Decision-Making with R PackagesVideo
Ghazaleh NiknamPyCon AU 2025talkObject-Oriented Oncology: Making Sense of Complex Patient JourneysVideo
NehaPyCon AU 2025talkHierarchical Clustering: Finding the awkward reunionsVideo
Stephen TierneyPyCon AU 2025talkTaking Back the Streets: NaviLens and the Fight for Open NavigationVideo
Christian BiggsCDAO Melbourne 2025speaker——
Catherine Nakalembe2025 Geo for Good Summit SingaporespeakerAnthrokrishi: Digitizing agriculture at an individual field level for targeted data driven allocation of resources & services—
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