'Digital in the Workplace'

• The session covered the following:

• Transition from learning to work

• Type of roles in a Digital function

• Career opportunities

• Softer skills needed

'Education 4.0: Utilising Mixed Reality to Develop Students into Industry 4.0 Employees'

The need for developer skills and content creators on immersive platforms to cater for the workforce of the future

'A year on the impact of Precision Technology at Bishop Burton'

 The benefits of the Mzrui drill system will result in stronger plants that tiller better and the general heart of the soil will improve as it is not being disturbed. By developing this system we can be more precise with inputs, in turn lower greenhouse gas emissions through reduced soil disturbance, by reducing this we can cut down machinery time on the land by up to half. This is achieved through analysing the actual conditions within the field and mapping seed, fertiliser, chemicals inputs thereafter.

'The impact on the IoT for learning and employers within the region'

A postulation of the specific pedagogical impact upon students and the regional employer’s growth demands.

'Sustainability, Computing and Ethics'

AI offers new opportunities and challenges for Computer Science, and graduates need an ethical framework as they develop and apply this to problems. Sustainable Development offers a context to aid in motivating and engaging students with suitable real-world applications of computer science, and especially AI. In this talk, we will consider how global challenges can provide a framework for developing and contextualising ethical dilemmas and choices, especially with applications of AI

i. ‘Can we use Machine Learning Algorithms on Solar Activity Data to Predict the Global Seismicity of the Earth’?

i. Since ancient times, natural disasters such as drought, flood, earthquakes, volcanic eruptions, storms, and many others have impacted humans at the cost of many lives. Signs of earthquakes include Changes in electrical and magnetic field signals, Animal behaviours, changes in water level, etc. Arguably, the method of using these signs to predict natural disasters is too far from being perfect.

Subsequently, we are applying machine learning algorithms to the physical measurement of solar activity data and global earthquakes' frequencies for possible earthquake prediction.

ii. ‘User’s Trust on Biometric Authentication Methods’

ii. With voice biometric authentication. (VBA) being such a promising field of secure authentication, it is important to consider users' perspectives of the authentication and see how it compares with other methods and understand if perceptions around VBA need to change. We discovered that users would be inclined to trust PINs over voice biometric authentication methods compared to other authentication methods. Hence, users would have to trust voice more than knowledge-based factors such as PINs for voice biometrics to be considered their premier choice for authentication.

'Sustainable Land Management - Beyond Nature'

Yorkshire Water on behalf of Askham Bryan University Centre

Introduction to Yorkshire Water land holdings (2nd largest land owner in Yorkshire)

• Farming under the ‘Beyond Nature’ concept. The 9 main streams.

• Understanding our carbon emissions through carbon footprints

• Measuring current carbon stocks under upland grassland and how to sequester more in the future

• Increasing biodiversity and soil health

• Improving water quality and flood attenuation

• Meeting the challenge of reducing agricultural support payments

‘Inclusive Leadership at Drax’

The new programme which Drax Power Station has launched and why.

'Enrichment Equals Employability’

Exploring how behaviours and employability are developed within the curriculum. We will showcase students past and present to share journeys through to employment using video clips. To underpin this we will look at 'our behaviours' and how this weaves through the work with students.

‘Applications of AI – Opening the black box’

 Machine Learning and Artificial Intelligence are terms we are all familiar with and are hearing used with increasing frequency. ML and AI are used in many fields from Medical Drug analysis to flood risk modelling and face and object recognition. However, it operates predominately as a ‘black box’. As we used these technologies in more sensitive and important areas, just what are the risks? How are they handled? And what happens when they go wrong? This talk will explore these questions and more.