University College London
Also listed as 3 other names
UCL · University College London (UCL) · ucl
Circuit mix
Where University College London shows up, by circuit. Each event counts once: 2 if it sponsored, 1 if it only had speakers. Hover a segment for the conference.
- Python & R data science25%6 events
- Enterprise, analyst & AI expos21%4 events
- Geospatial & mapping21%5 events
- Vendor flagships & roadshows8%2 events
- Software engineering8%2 events
- Modern data stack & practitioner4%1 event
- Postgres & open-source databases4%1 event
- Research4%1 event
- Alt data & financial information4%1 event
The year around now
Conferences where University College London 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.
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
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.
- Other / unlabeled
Where they've grown or pulled back
DownNothing recorded in 2026; sponsored 1 conference in 2019.
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.
Once or on and off 1
No clear direction, or a gap we can’t confirm because later sponsor lists are incomplete.
- The AI Summitonce, 2019, Community tier
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).
- Imperial College London0.68
- Endava0.63
- Tech Data0.62
- deepset0.61
- Graphcore0.60
- BBC0.59
- Everpure0.59
- Quix0.59
12 Cluster: STAC Summit · NVIDIA GTC circuit →
Often sponsors alongside
Companies that sponsored the same events, by number of shared events (out of 1 this company sponsored).
| Company | Shared events | Share |
|---|---|---|
| ABBYY | 1 | 100% |
| ABHI | 1 | 100% |
| AGORAI | 1 | 100% |
| AINFINITY | 1 | 100% |
| Algorithmia | 1 | 100% |
| ALPVISION | 1 | 100% |
| Amazon Web Services | 1 | 100% |
| Appen | 1 | 100% |
| Artificial Solutions | 1 | 100% |
| Auger.AI | 1 | 100% |
| Automation Anywhere | 1 | 100% |
| AVERMEDIA | 1 | 100% |
| BARBICAN | 1 | 100% |
| BERKELEY UNIVERSITY | 1 | 100% |
| Blue.cloud | 1 | 100% |
Neighborhood: companies with nearby conference footprints
University College London (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.
- ODSC · MLOps World circuit 9
- CDAO (Chief Data & Analytics Officer) Summits · Data Innovation Summit circuit 7
- AWS re:Invent · Google Cloud Next circuit 4
- MIT CDOIQ Symposium · Data Governance & Information Quality Conference circuit 3
- NeurIPS · ICML circuit 2
- PyData · PyCon circuit 2
- dataMinds Connect · Data Saturdays circuit 1
- Big Data & AI Paris · Gartner Data & Analytics Summit circuit 1
- PyCon · EuroPython circuit 1
- STAC Summit · NVIDIA GTC circuit 1
Sponsorships 1
| Event | Date | Place | Tier as listed | Normalized tier |
|---|---|---|---|---|
| The AI Summit London 2019 | Jun 12–13, 2019 | London, United Kingdom | Research & Association Partners | Community |
Speakers 27
| Speaker | Event | Role | Talk | Links |
|---|---|---|---|---|
| Alina Ristea | FOSS4G Europe 2026 | keynote | Open Geospatial Intelligence for Safer Cities: From Crime Hotspots to Better Public Safety Decisions | — |
| David Eaves | CNG London 2026 | panelist | Panel: More is Different: How Massively Scaled Technologies are Reshaping Science and Policy | — |
| Simran Dave | PyData London 2026 | talk | Mapping the local heat transition: from large-scale geospatial data to real-world impact | — |
| Serban Cristian Tudosie | PyCon Italia 2026 | talk | On the Madness of Image Compression | Video |
| Hao Ni | STAC Summit London, Spring 2026 | speaker | New frontiers of Generative AI in finance: Structured agentic workflows and foundational time-series models | — |
| Matt Graham | FOSDEM 2026 | speaker | Developing software tools for accelerated and differentiable scientific computing using JAX | Video |
| Mosè Giordano | FOSDEM 2026 | speaker | Accelerating scientific code on AI hardware with Reactant.jl | Slides · Video |
| Andrew Saxe | NeurIPS 2025 (San Diego) | keynote | Demystifying depth: Principles of learning in deep neural networks | Video |
| Coziana Ciurtin | Big Data LDN 2025 | speaker | AI for Health Equity: A Double-Edged Sword | — |
| Dr. Lisa Andreevna Chalaguine | PyCon DE & PyData 2025 | talk | Decoding Topics: A Comparative Analysis of Python’s Leading Topic Modeling Libraries Using Climate C | — |
| Piotr Gryko | PyCon Lithuania 2025 | talk | Anonymization of sensitive information in financial documents using, python, diffusion models and named entity recognition | — |
| Małgorzata Śmietanka | Data & AI Warsaw Tech Summit 2025 | speaker | Leveraging LLMs for Claims Processing: Insights, Demo, and Lessons Learned. | — |
| Azhir Mahmood | QCon London 2024 | speaker | LLM and Generative AI for Sensitive Data - Navigating Security, Responsibility, and Pitfalls in Highly Regulated Industries | — |
| Piotr Gryko | PyCon Lithuania 2024 | talk | Scaling, Refactoring and fixing a Django MVP for Production | — |
| Piotr Gryko | PyCon Lithuania 2024 | talk | Building and Scaling an AI Startup with Async Django | — |
| Ollie Ballinger | 2023 Geo for Good Summit | lightning talk | Lightning Talks: People and the Planet | Video |
| Adam Dennett | Spatial Data Science Conference 2023 London | speaker | — | — |
| Andrew Maclachlan | Spatial Data Science Conference 2023 London | speaker | — | — |
| Marcos Moreu | 2022 Geo for Good Summit | lightning talk | Nature Conservation A Lightning Talks [In person only] | Video |
| Hannah Fry | EARL 2022 | keynote | The trouble with automation. | — |
| Hannah Fry | DDAC 2022 | keynote | The Joy of Data | — |
| Hannah Fry | DDAC 2022 | keynote | Allyship: One Size Doesn't Fit All | — |
| Hannah Fry | Tableau Conference 2022 (TC22) | keynote | Thought Leader Keynote | — |
| Hannah Fry | QlikWorld Online 2021 | panelist | Using Data to Beat Bias | — |
| Hannah Fry | Big Data LDN 2020 | keynote | — | — |
| Hannah Fry | Gartner Data & Analytics Summit 2020 (Grapevine) | keynote | How to be Human in the Age of the Machine | — |
| Jade Alglave | QCon London 2019 | speaker | Applying Concurrency Cookbook Recipes to SPEC JBB | Video |