The 2019 European DatSci & AI  Awards

Finalist Projects

Each year the DatSci Awards has gone from strength to strength, with the 2019 Awards being the best yet. More than 2.5 million people from the Data Science, AI and Analytics community across Europe were reached by our digital campaigns this year. This helped to attract more applications than ever with individuals and teams in 13 countries entering into the competition to get recognised in this growing industry.

Learn more about this year’s winners and finalists by checking out their projects below.

AWARD FOR BEST DATA
SCIENCE STUDENT OF THE YEAR
Best use of Data Science/AI for Health & Wellbeing
Best use of Data Science/AI
for Health & Wellbeing
Best technical advance in the field of Data Science/AI from a research organisation either in academia or industry
Best technical advance in the field of Data Science/AI
Datsci Innovation
DATA SCIENCE TECHNOLOGY INNOVATION
OF THE YEAR
Datsci Social Impact
BEST USE OF DATA TO ACHIEVE
SOCIAL IMPACT
Best use of Data Science/AI for Industry 4.0
Best use of Data Science/AI
for Industry 4.0
Best use of Data Science/AI for Customer Experience
Best use of Data Science/AI
for Customer Experience
Best use of Data Science in SME/Start Up
Best use of Data Science
in SME/Start Up
Best Application of AI
Best Application of AI
of the Year
Data Scientist
of the Year

BEST DATA SCIENCE STUDENT OF THE YEAR

Our ‘Data Science Student of the Year’ award highlights data science research projects conducted by students, as well as the relevance and impact of their research work. Revisit the projects from this year’s DatSci Awards by clicking the thumbnail images next to each finalist’s name.

Winner: RORY BOYLE
TRINITY COLLEGE DUBLIN

This project developed an accurate and interpretable model of brain-predicted age differences (brainPAD) using open-access MRI data. The model was validated on external datasets, containing rich cognitive data. The brainPAD cognitive function relationship was assessed in each external dataset in order to investigate its utility for objective measurement of cognitive function, which is critical in order to identify individuals at risk of significant cognitive decline.

*Click below to learn more about Rory’s project.

Finalist: Gaurav Pahuja
SSE Airtricity

Data Optimisation Network is an end to end application which connects multiple databases together to create a 360 degree view for the business on a same geospatial index through using machine intelligence and data science techniques. DON will seek to accelerate the growth of the business. It will work as a proactive and reactive solution platform which will enhance business strategic decisions.

*Click below to learn more about Gaurav’s project.

Finalist: Amal Saadallah
Tu Dortmund

Matching supply with demand in dynamic environments is one of the biggest issues faced by many industries such as the taxi industry. BRIGHT: a drift-aware supervised learning framework is proposed to predict short-term horizon taxi demand through a creative ensemble of time series analysis methods that is able to handle distinct types of changes/concept drifts to cope with the dynamic behaviour of urban mobility patterns.

*Click below to learn more about Amal’s project.

Finalist: Andrew Kenny
University of Limerick

Opinion polls are becoming less reliable in predicting political views, as seen in high-profile cases such as the 2016 US Presidential election and Brexit. This research proposes that the application of machine learning to social media can provide a viable alternative, while also addressing underlying issues found in traditional methods such as social desirability bias and confirmation bias.

*Click below to learn more about Andrew’s project.

Finalist: Dixon Vimalajeewa
Waterford Institute of Technology

The social network analysis (SNA) is now commonly used to characterise the behavioural dynamics of social groups. The increasing complexity of SNA data necessitates the investigation of novel strategies to transform such data into useful metrics, which can subsequently be used to support day-to-day decision making. A novel matrix, Animal importance is derived based on GPS mobility data to explore and identify atypical social behaviours in cows in smart dairy farming.

*Click below to learn more about Dixon’s project.

Finalist: Suad Al Darra
National Univeristy of Ireland, Galway

Are refugees a threat? How do news articles describe refugees and migrants? This work highlights the issue of xenophobia against displaced people by applying the latest data science methodologies over open-source news datasets to train a classifier that could automatically detect xenophobia language, and also to find a better visual way to tell the narrative about refugees.

*Click below to learn more about Suad’s project.

Best use of Data Science/AI for Health & Wellbeing

BEST USE OF DATA SCIENCE/AI
FOR HEALTH & WELLBEING

Our ‘Best of use of Data Science/AI for Health & Wellbeing’ award showcases how they have applied Data Science/AI as part of a live implementation to progress individual and community health and wellbeing. Revisit the projects from this year’s DatSci Awards by clicking the thumbnail images next to each finalist’s name.

Winner: AXIAL3D
Using AI to 3D Print models of body parts to improve surgical intervention

By transforming a patient’s MRI/CT scan into a 3D-printed object, surgeons and patients can make better treatment decisions. The solution developed by axial3D spearheads a new area of medical-imaging segmentation, focusing not just on the detection and extraction of specific anatomical regions from medical scans but doing it in such a way that it is then 3D-printable. Enhancing existing practices and improving patient outc omes.

*Click below to learn more about axial3D’s project.

Finalist: Environmental Protection Agency Ireland
Tracking Change in Waste Water Treatment Plant Performance

Discharges from waste water treatment plants are one of the main treats to our freshwater environment in Ireland. The performance of each plant is tracked using simple statistical metrics like t-tests and sign-tests. The metrics are summarised in a dashboard that shows (at-a-glance) how each plant is performing, and its impact on the surrounding environment.

*Click below to learn more about Environmental Protection Agency Ireland’s project.

Finalist: DCU INSIGHT CENTRE FOR DATA ANALYTICS
GaitKeeper

Gait is an excellent predictor of the onset of many physical and neurological conditions. It is often referred to as the 6th vital sign. However, there are no easy to use systems that provide quantitative results at low cost. GaitKeeper provides the world’s first gait analysis as a service – making it easy for clinicians to create spatial and temporal gait analyses from videos recorded using the GaitKeeper mobile application.

*Click below to learn more about this project.

Finalist: IBM Research
InterACT: A cloud-based platform for multimorbidity management

InterACT is a platform for multimorbidity management that hosts the HWProfile. A tool for risk exploration it works to build a holistic representation of the individual over several dimensions including vitals, symptoms, conditions, demographics and behaviours. InterACT and the HWProfile have been tested in a pilot trial of 120 patients over 65 with multiple chronic conditions in Ireland, Belgium and Italy.

*Click below to learn more about this project.

Finalist: IBM Innovation Exchange
The Social Campaign Manager

The IBM Social Campaign Manager (SCM) is a solution for policy makers that are responsible for health care and wellbeing globally. The SCM is an end to end solution for capturing  the voice of the public and sentiment on current and future policy reform. Conversations with the public are defined, launched and analysed by the SCM using AI and social media.

*Click below to learn more about this project.