ConferCare


Manchester Digital Epidemiology Summer School

18 - 20 July 2018

Hosted by the Arthritis Research UK Centre for Epidemiology

Manchester, UK

This year, the Arthritis Research UK Centre for Epidemiology is organising the inaugural Manchester Digital Epidemiology Summer School. During this exciting 3-day course, participants will learn all about how to capture and use digital health data to support high-quality epidemiological research.

The programme covers opportunities, challenges and methods across a variety of data types: from data in electronic health records to data collected through smartphones and wearable devices. An internationally renowned and multidisciplinary faculty will deliver interactive seminars on cutting-edge methods for collecting and analysing digital data in the context of epidemiological studies. They will use real-life examples to demonstrate these methods in action.

Confirmed Speakers

Faculty includes:

Prof Will Dixon (University of Manchester)

Dr John McBeth (University of Manchester)

Dr Sabine van der Veer (University of Manchester)

Prof John Ainsworth (University of Manchester)

Dr David Buckeridge (McGill University, Montreal, Canada)

Prof David Ford (Swansea University)

Dr Antonio Gasparrini (London School of Hygiene and Tropical Medicine)

Dr Lamiece Hassan (University of Manchester)

Dr Cían Hughes (Google DeepMind)

Dr Max Little (Aston University, Birmingham)

Dr Mark Lunt (University of Manchester)

Prof Malcolm Maclure (University of British Columbia, Vancouver, Canada)

Prof Goran Nenadic (University of Manchester)

Graeme Rimmer (Google)

Prof Liam Smeeth (London School of Hygiene and Tropical Medicine)

Who is this course for?

Epidemiologists; Population health researchers; Health data scientists; Health informaticians; Clinicians with an interest in epidemiology and/or data science.

Delegates from academic, industry and other backgrounds are welcome.

How much will it cost?

Day 1: Electronic Health Record (EHR) and linked data

Day 2: Patient-generated data

Day 3: Data from sensors, internet of things, and social media

£225 for 1 day, £425 for 2 days and £600 for 3 days.

All fees include registration, lunch and course materials.

Register here

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