53rd Essex Summer School in Social Science Data Analysis
13 July to 21 August 2020
53rd Essex Summer School in Social Science Data Analysis: Update, 19.03.2020
We are regularly reviewing the status of our provision in light of the ever changing situation surrounding COVID-19. Currently, the Essex Summer School in Social Science Data Analysis continues to process applications for 2020. Should any changes to the schedule be required over the coming weeks, we will inform all participants at the earliest date possible. ESS will offer full refunds to anyone impacted by cancellations.
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The Essex Summer School in Social Science Data Analysis provides world-leading social science methods training to postgraduate research students by offering instruction from an internationally renowned faculty, drawn from the world’s top research institutions. It seeks to foster the academic research and careers of the postgraduate students who attend, both through training and by offering unique networking experiences. In doing so, it contributes to the entirety of the international social science community.
The summer school provides:
• An international reputation, over 50 years in the making
• Building skills for academic research
• Networking for PhD students
• An international staff of experienced instructors
• Intensive methods instruction
The 53rd Essex Summer School will take place between 13 July and 21 August 2020. The core Summer School consists of three two-week sessions with a variety of postgraduate-level methodology courses. Courses usually run for two weeks, with infrequent exceptions running one week. Courses cover various types of quantitative and qualitative research methods, research design, techniques for data collection and measurement, as well as mathematics. The language of instruction is English.
Note that class numbers are strictly limited! We therefore recommend applying as early as possible — especially for courses in session 1 and 2, which tend to fill quickly. It is possible to attend a morning and an afternoon course per session, though we recommend that applicants pay attention to the required homework.
The Summer School attempts to give places in courses to participants appropriate command the required skills. Applicants are advised to pay careful attention to the course requirements, which are clearly stated in the course descriptions. Participants can refresh and enhance their mathematics knowledge in an intensive course, Mathematics for Social Scientists, which is provided free of charge for participants of the Summer School. The course cannot be taken without participation in at least one other course. Most courses combine lectures, seminars, and lab sessions. Note that lab sessions depend on the content of the course.
The Summer School provides an opportunity for social scientists to make contact with professional social scientists from other countries. Besides classroom instruction and daily laboratory work, the programme includes evening seminars on research topics of special interest.
Most Summer School courses use computers for practical work. The machines are supported by an extensive range of computer programs and a large library of data files. Several well-equipped computer labs on campus are available to participants from 07.00 – 23.00 hrs daily.
Computing Knowledge Requirements
Basic knowledge of computing is essential. course descriptions indicate any specialized requirements; a summary of these requirements is set out in the Background Requirements for the courses in each session.
The summer school runs a programme of events outside of the teaching hours to provide you with a series of opportunities to network with your fellow students.
We are pleased to announce our Evening Presentations for this coming summer school!
University accommodation is all booked as self-catering, which means that you will either have to cook all your own meals or eat out. Because of participants’ varied requirements, the Summer School does not make any special catering arrangements. There are several restaurants plus a food store on campus and a large supermarket within walking distance.
Medical treatment for overseas visitors
There is a Health Centre on campus. Overseas (non-EU) participants are advised to take out their own medical insurance before coming to the United Kingdom. EU participants are entitled to free campus health care for the duration of their stay on production of a valid EHIC card. Overseas participants or production of an invalid EHIC card will mean you can receive a 15 min consultation from the campus health centre at a cost of £45, alternatively you may be referred to the 24hr Urgent Treatment Centre located in Colchester.
Social and Sports Facilities
A variety of social events are organised during the Summer School, including excursions to London and Cambridge; “pub crawls” to the pubs of Wivenhoe; football matches, discos and film nights.
There is also a large Sports Centre situated on campus with a fitness centre, participants also benefit from a discounted rate however should bring their own sports equipment.
Colchester and its Surroundings:
Colchester, once the capital of Roman Britain, is the oldest recorded town in Britain. Situated in north-east Essex eight miles from the sea on the River Colne, Colchester has developed over recent years from a small market town into a rapidly expanding regional centre of commerce, light industry, and high technology with a population of about 150,000. The town serves a wide rural area and has good shopping facilities, an art gallery, and particularly fine museums. Colchester also has a repertory theatre, which presents a wide variety of plays, together with night clubs, and cinemas. Along the coast and estuaries, which are within easy reach of the University, there are numerous seaside resorts. Further information can be obtained from: http://www.visitcolchester.com
Individuals with Special Requirements
Please contact the Summer School office by email if you have any special requirements in relation to teaching facilities, accommodation, building and equipment access.