The popular UCL Research Programming Technical Socials are now expanding, under the “Knowledge Quarter Codes” name, to welcome participation from academic and industrial organisations across the Knowledge Quarter and build a shared community of practice. The Knowledge Quarter is the area within a 1-mile radius of King’s Cross station, and hosts what is arguably the most dense concentration of scientific and knowledge-based organisations anywhere in the world.
These informal events are for anyone with an interest in the computational methods and technology behind research and innovation. They are an opportunity to get to know fellow practitioners, and to discuss and learn about useful tools and techniques which may help with your work. All are welcome, whatever your background or career stage!
The events are held monthly, usually 17.00-18.30 (although this has currently changed), with a format as follows:
- Short talk on a tool, program, environment, language or technique of general interest to researchers, research software engineers and data scientists.
- Discussion inspired by the talk, over pizza and drinks.
- Optionally retire to an appropriate social venue.
We are taking a break over the summer, and events will restart in October.
In light of the Covid-19 pandemic, the Technical Socials will not be held in person. We will be using Microsoft Teams (although people can join through their browser without installing the application), and the events will be open to non-UCL participants as usual.
|Date||Speaker||Title||Slides (if available)|
|July 2020||Jim Cownie||Growing up as a (software) engineer|
|June 2020||Tom Deakin||Performance portability across diverse architectures||recording|
|May 2020||Joaquin Rapela||Distributing and applying advanced statistical tools to better understand neural and behavioural recordings|
|April 2020||Leila Muresan||Software for the nanoscale: Microscopy image analysis at the Cambridge Advanced Imaging Centre|
|February 2020||Mia Ridge, Mahendra Mahey, Harry Moss, Olivia Vane and Filipe Bento||Research software engineering at one of the world’s largest libraries||Slides|
|January 2020||Joe Greener||Julia: a natural language for computational biology||Slides|
|December 2019||Jay DesLauriers||Building a Cloud Toolkit|
|October 2019||Dr Mosè Giordano||Julia: A Fresh Approach to Numerical Computing|
|July 2019||Sarah Stewart||‘With the Software in the Library’ – Best practices for Research Software Management and Citation||Slides|
|June 2019||Dr Jonathan Cooper||PyBioPharma: cost-effective drug production, and lessons learned|
|May 2019||Dr Andrew Edmondson||Software, theology, high performance computing, AI and RSEConUK 2019|
|April 2019||Dr Owain Kenway||An overview of Research Computing services and how we provide them|
|March 2019||Dr Setrak Balian||Classifier for detecting propaganda videos on the web|
|Februrary 2019||Dr Sanaz Jabbari||AI Studio|
|January 2019||Dr James Smithies||Maximising Research Capacity & Quality in Digital Laboratories: The Philosophy behind King’s Digital Lab|
|December 2018||Dr David Wright and Robin Richardson||EasyVVUQ: Error bars for everyone|
|November 2018||Prof Luca Viganò||Explainable Security||Slides (UCL account required)|
|October 2018||Dr Tom Dowrick||Software Engineering for Novel Surgical Devices and Technique|
|July 2018||Dr Jeremy Cohen||Running Scientific Applications on HPC Infrastructure Using Singularity: A Case Study|
|June 2018||Dr Chris Richardson||Interfacing Python to C++: some experiences with the FEniCS Project||Slides|
|May 2018||Dr Peter Bloomfield||The Machine Intelligence Garage; removing barriers from the AI startup ecosystem||Slides|
|April 2018||Prof. Anthony Steed||Rise, Fall and Rise of Virtual Reality|
|March 2018||Dr Stewart Martin-Haugh||Throwing away 99.999975% of your data: triggering at the ATLAS experiment||Slides|
|January 2018||Dr Tomas Petricek||The Gamma: Democratising data science||Slides|
|November 2017||Dr Olivia Guest||Gerrymandering and computational redistricting||Slides|
|October 2017||Dr Marc Warner||AI in the cloud with SherlockML|
|July 2017||Dr Jeremy Metz||Image processing in the biological sciences: classical vs machine learning approaches|
|May 2017||Dr Wadud Miah||Modern Fortran for Computational Science||Slides|
|April 2017||Dr Daniel Buchan||Deploying your data analysis pipelines as services for others|
|March 2017||Dr Daniel Hanlon||iRODS||Slides|
|January 2017||Dr Vince Knight||Property based testing in a research setting|
|December 2016||Dr Jonathan Cooper||Cardiac Electrophysiology Web Lab||Slides|
|November 2016||Dr Kris De Meyer||Monte-Carlo with Julia in the Cloud||Slides|
|October 2016||Dr Gabriele Pierantoni||Information Flows: a possible direction for the future of scientific computational infrastructures||Slides|
|July 2016||Dr Thomas Kluyver||Experiences from the Jupyter development team|
|June 2016||James Geddes||Cellular: A proposal for less awful models||Slides|
|May 2016||Prof Tony Hey||The Fourth Paradigm: Data-Intensive Science||Slides|
|April 2016||Dr Tom Doel||Data sharing with GIFT-Cloud||Slides|
|March 2016||Ms Raquel Alegre||Making sense of geospatial data with CartoDB maps||Slides|
|February 2016||Dr Jeremy Appleyard||Profiling GPU code||Slides|
|January 2016||Dr Derek Groen||FabSim: facilitating computational research through automation on large-scale and distributed e-infrastructures.||Slides|
|December 2015||Dr Dan Buchan||Write Less Code||Slides|
|November 2015||Dr Marzia Rivi||Parallel programming: a brief discussion||Slides|
|October 2015||Dr Ian Sillitoe||Scalable Web Engineering at UCL||Slides|
|September 2015||Dr Ulf Schiller||Numerical Approximation, Friend or Foe?||Slides|