LIDA Seminar: Efficient programming for data analytics

Leeds Institute for Data Analytics

The Leeds Institute for Data Analytics (LIDA) is pleased to present this next seminar in our series showcasing data analytics. This seminar- Efficient programming for data analytics- is taking place at 3.30pm in the Clarendon Wing Lecture Theatre on Thursday 27th April.
Our first speaker is Dr Andrew P Smith, Researcher from the University of Leeds, with his talk titled "Software development for academic research: examples from the Catch project (The Catch! industrial research project brings together high growth SMEs, leading research centres, a world class transport consultancy and 5 forward thinking Local Authorities to launch a prototype, state-of-the-art real-time, ambiently crowdsourcing data service. Poor planning, growing cities, shrinking budgets and pollution are compounding transport problems).
We welcome our second speaker Dr Colin Gillespie from Newcastle University & Jumping rivers <A HREF="http://www.jumpingrivers.com" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">www.jumpingrivers.com</A> who will be describing how he has brought the principles of efficient programming into the cloud, with a talk titled " Experimental design in the cloud: a case study in efficient programming".
Our third speaker, Dr Robin Lovelace from the University of Leeds, will discuss how he has used efficient programming principles in the development of the Department for Transport funded Propensity to Cycle Tool which can be seen and used in the DfT's first open source and publicly accessible national transport model. This can be used online at <A HREF="http://www.pct.bike" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">www.pct.bike</A>.
References
Gillespie, Colin, and Robin Lovelace. 2016. Efficient R Programming: A Practical Guide to Smarter Programming. O’Reilly Media. <A HREF="https://csgillespie.github.io/efficientR/" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">https://csgillespie.github.io/efficientR/</A>.
Lovelace, Robin, Anna Goodman, Rachel Aldred, Nikolai Berkoff, Ali Abbas, and James Woodcock. 2017. “The Propensity to Cycle Tool: An Open Source Online System for Sustainable Transport Planning.” Journal of Transport and Land Use 10 (1). doi:10.5198/jtlu.2016.862.
Agenda
15:15: Registration Clarendon Wing Lecture Theatre
Directions: From level 7 of the Worsley Building, turn right out of the main double lift and down to the end to the walkway that links across to the Clarendon Wing building. The lecture theatre is just at the end of this walkway on the left.
15:30: Dr. <A HREF="http://www.geog.leeds.ac.uk/people/a.smith" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">Andrew P Smith</A> –    Software development for academic research: examples from the Catch project
15:45: Dr. <A HREF="http://www.ncl.ac.uk/maths/staff/profile/colingillespie.html#background" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">Colin Gillespie</A> -  Experimental design in the cloud: a case study in efficient programming
16:45: Dr. <A HREF="https://www.its.leeds.ac.uk/people/r.lovelace" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">Robin Lovelace</A>-       Data carpentry for sustainable transport planning: the Propensity to Cycle Tool
17:00: Refreshments and networking in LIDA, level 11 Worsley Building
Our seminar is free, open to all and is followed by a networking reception with drinks and nibbles in LIDA.
We look forward to seeing you there.

Clarendon Wing Lecture Theatre

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LIDA Seminar: Efficient programming for data analytics

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