Our research impact is the demonstrable contribution that our work makes to society – to individuals, communities, organisations, nations and the economy.
Engaging with research users and identifying potential impacts from the outset will help you to plan processes by which your research may directly or indirectly catalyse change. Planning includes considering the kinds of impact you are hoping to achieve; that is, what might change, for whom, to what extent, and when.
The NIHR have produced a comprehensive toolkit which can help you to plan for impact at the start of a research project – which will help you to outline how you will engage with research users to deliver impact from your research.
This toolkit is designed to help you to learn the main stages of a standard IR process, which will lead to results that are comparable across regions and countries.
People leave our training armed with powerful tools and techniques that they can implement immediately to create a step change in the impact of their research. Underpinning these techniques is a unique relational approach to impact that enables people to generate deep and lasting change through their research. Consistent with this approach, we work with people long after the training event, helping people work through a series of steps to put what they've learned into practice in the weeks and months that follow.
Learning analytics has the potential to assist instructors in the development of personalized learning at scale and to contribute to more equitable and socially just academic outcomes.
his playbook is designed for two main purposes:
To help those who are working with NouLAB on innovation processes.
To share with the lab community how NouLAB approaches our work.
The science of improvement is an applied science that emphasizes innovation, rapid-cycle testing in the field, and spread in order to generate learning about what changes, in which contexts, produce improvements. It is characterized by the combination of expert subject knowledge with improvement methods and tools. It is multidisciplinary — drawing on clinical science, systems theory, psychology, statistics, and other fields.
Learn step-by-step how to develop and deploy machine learning models—and master advanced techniques for optimizing them. Download the eBook to learn more.
Learning How to Learn: Powerful mental tools to help you master tough subjects from University of California, San Diego. This course gives you easy access to the invaluable learning techniques used by experts in art, music, literature, math, ...
RenderDoc is a free MIT licensed stand-alone graphics debugger that allows quick and easy single-frame capture and detailed introspection of any application using Vulkan, D3D11, OpenGL & OpenGL ES or D3D12 across Windows 7 - 10, Linux, or Android.
A. Gokcezade, J. Leitner, und M. Haller. ACM International Conference on Advances in Computer Entertainment Technology, 8 (3):
19:1--19:16(Dezember 2010)Place: New York, NY, USA
Publisher: ACM.
C. Gilbert. Eighth International Conference on Weblogs and Social Media (ICWSM-14). Available at (20/04/16) http://comp. social. gatech. edu/papers/icwsm14. vader. hutto. pdf, (2014)
S. Stigberg. Proceedings of the 2017 ACM Conference Companion Publication on Designing Interactive Systems, Seite 161-166. New York, NY, USA, Association for Computing Machinery (ACM), (2017)
R. Neßelrath. Proceedings of the 9th International Conference on Intelligent Environments (IE). International Conference on Intelligent Environments (IE-13), July 18-19, Athen, Greece, Seite 266-269. Washington, DC, USA, IEEE Computer Society, (2013)