Location:
Online (self-paced learning in your own time on our learning platform UKCEH LearnWorlds).
To give you a feel for what this online learning is like, we put together this video about our online learning platform, UKCEH LEarnWorlds. (external link to YouTube)
We also offer bespoke training courses at a time of your choice. From 6-20 learners. Please contact Dr. Ingo Schüder on 01491 69 2225 or 07395 845941 or UKCEHtraining@ceh.ac.uk to explore further.
Cost:
Students: £169 (Use Coupon Code STUDENT)
Professionals: £219
Sign up online here now! 4 weeks access from date of enrolment.
(credit & debit cards accepted; for regular student & professional tickets; external link to UKCEH LearnWorlds)
For group and other discounted tickets go here (external link to our Mitingu sign-up and payments platform)
For information on the live and interactive Evidence Synthesis course go here.
Short course description:
This online course will introduce you to Evidence Synthesis, Evidence Review, rapid Evidence Assessments and Systematic Reviews. It will give you the knowledge, skills and confidence to carry out an Evidence Review Synthesis for an area of Natural Environment research of your personal interest. You will gain and improve skills in undertaking an evidence review – from inception and question formulation with clients, to undertaking a systematic search and data extraction, and reporting. We will also cover the nature and application of different synthesis methodologies within different evidence contexts, policy research, evidence synthesis, mapping and meta-analysis. The training involves a very practical mini-Quick Scoping Review (QSR), developing review questions and undertaking a review.
The self-paced on-demand training offers:
- 14 Sections
- 13 videos (approx. 5 hrs playing time)
- mini-QSR exercise
- Presentations for download
- Total learning time: 8-12 hours
Beyond the Evidence Synthesis methodologies, we will cover aspects such as
- Interpreting science for application in setting policy and business goals
- Working across the natural-social science boundary
- Experience and understanding of working with multi-disciplinary teams and outputs
- Communicating across disciplines
- Interrogating large datasets and data mining
- Understanding the requirements of policymakers (science to policy).
- How to work with groups of experts to put reviews in a wider context
- The value of objective vs subjective analysis
Learning outcomes:
- You will have a better understanding of the principles of evidence review, identifying the distinction between traditional reviews and ERs
- You will gain skills in different methods for undertaking an evidence review
- You will acquire transferable skills in the field of environmental science
- You will learn how to set research questions
- You will learn how to apply transparent and systematic processes when reviewing evidence
- We will enable you to undertake ERs and understand the value for science-policy/business interfaces.
Target audience:
- PhD students and Early Career Researchers with an interest in Environmental Sciences
- Researchers in industry
- Statutory organisations
- Environmental Consultants
- Nature Conservation - Voluntary sector
Level:
Beginner – you do not need any previous knowledge or skills on Evidence Synthesis
Software & hardware requirements:
You will need a laptop, desktop or tablet and access to the internet.
Course developers:
Charlie Stratford, Wetland Hydrologist, UKCEH.
James Miller, UKCEH
Ingo Schüder, Business Development Manager (Training), UKCEH
Previous learner feedback:
The feedback on this on-demand course is 98% positive.
"The material was really useful, and the examples were very useful." (Defra learner, December 2024)
"I really liked the element of self-study and live training. It is often difficult to block out a full day for training but this format made it much easier. Also, carrying out the learning over a number of days helped me to remember it." (Defra learner, December 2024)
"The course and exercise covers "an evidence synthesis for a primary question" extremely well." (Defra learner, December 2024)
“I liked the exercise on how to do an efficient search in Google Scholar best. Learning about how to search will considerably help to identify more detailed search returns.” (Kayley, student, Aug 2022)