A new Hartree collaborative programme with IBM
Research. £210m investment - £172m UK Govt
investment + £38m IBM in-kind
• Enable businesses and public sector organisations to
adopt digital innovations, such as AI, data analytics
and quantum computing, by providing a dynamic and
supportive expert environment.
• Provide an environment where UK organisations of
all sizes can explore the latest technologies, develop
proofs-of-concept and apply them to industry and
public sector challenges for productivity, innovation
and economic growth.
• Help organisations navigate the possibilities, and de-
risk investment, of new technologies.
• Support organisations in planning and taking their
next steps in their digital transformation journey
Hartree National Centre for Digital
Innovation (HNCDI)
Skills
Tackling gaps within organisations and
widening the digital talent pool
Technical Capability
Exploring and evaluating data-driven AI
technologies to help enhance
productivity
Application
Developing and implementing practical
solutions within organisations
HNCDI work streams - Tackling industry
challenges
 Access Point Overview:
 The Explore work stream will apply digital and AI technologies,
through proof-of-concept projects, to solve organisational (industry,
professional services and public sector) challenges.
 The results from an Explore proof-of-concept project will belong to
the participating organisation. Any IP generated during an Explore
project will remain with STFC and IBM.
 The Explore work stream will deliver 104 projects
 Benefit of Participating:
 Provides the opportunity, through (zero-cost) proof of concepts to
explore and evaluate data-driven AI technologies to help enhance
an organisations productivity and technical capability.
 Provides the opportunity to understand ‘does this technology work
with my data on my use case’
 Outcome: Provides Participating organisations retain the results of
the proof-of-concept project.
 Cost to Participating Organisations:
 Organisations participating in Explore projects will not be charged,
however, organisations are expected to contribute with active
participation in projects through providing real-life & industrially
relevant challenges and project-relevant data
 Access Point Overview:
 The Excelerate work stream will embed digital solutions across
industry and public sector.
 The Excelerate work stream will deliver 32 projects
 Benefit and Outcomes:
 Provides development and integration of practical AI and data
driven solutions across an organisations current work-flow.

Implementation of practical AI and data driven solutions to
improve productivity and sustainability
 Cost to Participating Organisations:
 Each organisation participating in an Excelerate project will be
required to contribute to the overall project costs. This
contribution can be in-kind, in-cash or a combination of both.
 Adoption of Excelerate project outcomes might require licensing
of HNCDI Programme IP
Case study
Novel drug encapsulation
Challenge: Predict structural behaviour when
using novel chemicals
Approach: Molecular simulation of encapsulation
Benefits: Pre-screening hard to manufacture
chemicals before lab based experiment
AI enhanced simulation
Case study
Real-time rail delay prediction
Generating more accurate delay
predictions based on real-time data feed
Feed info:
• 1-2 Million messages per day
• ~3-4 GB per day
• Up to 300 messages every second
Big data analytics
Rail network
Stations
TIPLOCs [Station, Signalling Point, Junction, Depot]
Feature Layers
1. Number of Passengers/Station/Year
2. Kilometres of tracks within 10km
3. Number of stations within 10km
4. Rain
5. Wind
6. Pressure
7. Weather status
8. Temperature
9. Grassland
10. Woodland
11. Upland (>200m)
Case study
Smart crop protection
Building pest risk prediction models with the
potential to:
• Enable the farming industry to more accurately
plan preventative measures
• Reduce crop losses
• Drive down insurance rates through lower
probability of crop damage
Capability Build
Case study
Cognitive waste water treatment
Using artificial intelligence (AI) to dynamically
manage the waste water treatment process
with the potential to:
• Adapt responsively to environment conditions
e.g. weather forecast
• Make water treatment plants more efficient
• Minimise costly regulatory violations
Application Prototype
HNCDI Engagement model
HNCDI and
organisation agree
scope of research
project
Organisation
identifies industry
challenge
Proof of Concept
(Explore/Emerge)
Project
Technology
development
(Excelerate)
project
Adoption
of
technology
For which there is
no ‘off the shelf’
solution
- Insights into data
& industry challenge
- Opportunity to evaluate
technology
- UK government funded
- 9-10 month project
Industry organisations
- from startups to large
corporations
- Public sector organisations
incl NHS, local govt.
Accelerating new
discoveries and
expansion into new
markets
- 12 month project
- Output is technology
designed for use in industry
- Option to license
technology created
We also offer training on an individual or group basis
-
Organisation provides data, time, industry
expertise
-
HNCDI provides AI, Quantum and Data Analytics
expertise, HPC systems
 Access Point Overview
 Comprehensive training programme to support organisations
advance their digital skills through providing industry relevant and
accessible training in areas such as high performance computing,
data analytics and AI.

5000 training places
 Over 55 training courses
 Multiple levels including Introductory, Learner, Independent
User and Practitioner

Delivery Methods include Self Learning, Presentational and
Hybrid
 Benefits and Outcomes:
 Provides the opportunity to tackle the digital skills gap within
organisations and widens their talent pool.

Increases digital readiness for participating organisations
 Cost to Participating Organisations:
 Access to the training courses in HNCDI Explain will incur zero costs
to the participating organisations
Course Levels
​Level​​
​Best for:​​
​Introductory
​Trainees from a non-related background with
​very little
knowledge of the subject area
​Learner
Trainees with some theoretical or practical knowledge within
the relevant subject area
​Independent User
​Trainees who can work independently within the subject
area but would require guidance for solving complex problems
Practitioner​
​Trainees actively working in the subject field, looking to
investigate emerging technology developments, new techniques
and/or develop collaborative multidisciplinary applications with
higher levels of complexity
21 Oct 2021 | Introduction to data collection and preparation
22 Oct 2021 | Taking your data analysis to the next level
02 Nov 2021 | Beginner's Guide to Cloud for Industry
03 Nov 2021 | Infrastructure as code in the Cloud
10-11 Nov 2021 | Building and testing apps for the Cloud
09 Dec 2021 | Mixed language programming – Python to C
@HartreeCentre
hartree.stfc.ac.uk
STFC Hartree Centre
Upcoming
Training
BOOK NOW:
https://www.hartree.stfc.ac.uk/Pages/Explain.aspx
Course FAQs
• Will a recording be available?
• Recording will be available for courses which do not have practical sessions (mainly
introductory courses).
• Will courses be repeated?
• It is planned that most courses will be repeated at a later date
• When will new courses be announced?
• The next 12 month of courses will be announced in May 2022
• Can we access the courses sooner?
• Speak to us about pricing for a customised solution.
• Are certificates available?
• Certificates can be provided on request
STFC Hartree Centre
@HartreeCentre
hartree.stfc.ac.uk
hartree@stfc.ac.uk
Deborah Sahota: deborah_sahota@uk.ibm.com
Jonathan Smith: jonathan.smith@stfc.ac.uk
Speaking to us about engaging with HNCDI: