NUSC School in Network Analysis 2021

Summer School 2021

About us

The University of Greenwich Networks and Urban Systems Centre has multi-disciplinary expertise exploring the expanding frontiers of urban challenges and opportunities to improve quality of life, competitiveness and sustainability. With expertise in transport, supply chain and social network systems, we focus primarily on:

  • Distributed and overlapping production systems (e.g. IT clusters, health);
  • Healthy and high-quality urban ecosystems;
  • Business models for technologically transformed social systems;
  • Global value chains

We have the largest concentration of business network analysts in Europe, applying the techniques of organisational network analysis to a wide range of business problems, re-conceiving individual firms, organisations and markets as structured relationships.

Our experts have published widely and are working on a range of current research projects including knowledge transfer within the creative industries, high-tech industrial clusters, diffusion through networks, enhanced networking with social media, black and minority ethnic career support networks and inter-organisational networks in global value chains.




NUSC Summer School in Network and Data Science

1st-4th June 2021 (12:00-19:00 each day) BST

The NUSC Summer School provides opportunities for those both new to network and data science and those who wish to consolidate or expand existing knowledge in the field. Four distinct courses offer an introduction to social network analysis, advanced topics in social network analysis, a general overview and introduction to techniques in data science and an introduction to the R programming language with applications in general statistics and in social network analysis.

The courses are aimed to equip post-graduate students, researchers and social science practitioners with skills to apply in practical projects.

Programme

Choose one of four courses, each running June 1-4, 12:00-19:00 BST each day:

  1. Introduction to Social Network Analysis
  2. Advanced Social Network Techniques in R
  3. Introduction to Data Science with Python
  4. Introduction to Statistical and Network Analysis with R *
    * Note: on day 2 and 3 this course runs 9:00-16:00 BST
For course descriptions, see here.

Fees

Early Bird ends on Friday 21 May at 5pm

Standard 4-day course: General - £400 (Early Bird £300)

Standard 4-day course: Student - £280  (Early Bird £200)

Single one-day workshop: General - £120

Single one-day workshop: Student - £80

Purchase your tickets here

*Staff and Students who are part of the Business Faculty, University of Greenwich are entitled to a discounted rate.

If you are unsure about which ticket you are to purchase, please contact us.

Find Hamilton House

Located in Park Vista, next to Greenwich park, a short walk from the main Greenwich Campus


Upon arrival to Hamilton House, please ring the buzzer on the left-hand side of the door and report to the reception upon entry.

Unfortunately, the Hamilton House building has no disabled access and there is no on-site parking available.

Learn more about travelling to Hamilton House.

  • DLR Cutty Sark (approx. 11 min walk)
  • Maze Hill (approx. 3 min walk)
  • Greenwich (approx. 15 min walk)
  • Greenwich Pier - Ferry service (11 min walk)
  • TFL buses frequently run close by.
  • Public 'Pay and display' car parks nearby.
  • Campus bus service between campuses.