EVENT - Wednesday
Location110 Bishopsgate, London EC2N 4AY
When6:00 PM - 9:00 PM
Data4Good – DSF Meetup with TIBCO
Join Data Science Festival – London in partnership with TIBCO in January for an evening of talks by Data Science experts on Data4Good projects.
Due to the popularity of Data Science Festival events, we are now allocating event tickets via a random ballot. Registering here enters you into the ticket ballot for the Data Science Festival Event with TIBCO on January 22nd 2020, the ballot will be drawn on January the 17th 2020. Those randomly selected will then be e-mailed a Universe ticket for the event.
If you get an allocated Universe ticket, please bring a copy of your paper ticket or your ticket on your phone to the event to check in with your QR code. Tickets are non-transferable.
PLEASE NOTE REGISTERING ON MEETUP DOES NOT GUARANTEE YOU ENTRY TO THIS EVENT.
Please click here to apply for a ticket: GET TICKETS
6:00-6:30: Doors open, food and drinks
6:30-6:40: Welcome and introductions: Heleen Snelting, TIBCO
6:40-7:05: Slick, data-driven web-based tools to tackle Scotland’s agricultural pollution: Jonathan Bowes, Scottish Environmental Protection Agency
7:05-7:30: Out of Africa: Data science for good: Anni Toner (Russell), The Data-Shack
7:30-7:40: Short break
7:40-8:05: Using data, analytics and technology to prevent concussion in impact sports: Richard Benson, Keytree
8:05-8:30: Data science presentation: DataKind (TBC)
8:30-9:00: Networking, refreshments
Heleen Snelting – Director Data Science EMEA at TIBCO Software.
Bio: Heleen Snelting is Director of Data Science EMEA at TIBCO Software, where she and her team help TIBCO’s customers to optimise business and operational processes through the use of advanced analytics. Heleen is passionate about knowledge sharing and is an active contributor to the TIBCO Community.
Jonathan Bowes – Slick, data-driven web-based tools to tackle Scotland’s agricultural pollution
Summary: Agricultural diffuse pollution in water courses is Scotland’s most common pollution pressure. This talk will discuss how the Scottish Environment Protection Agency (SEPA) engineered an end-to-end paperless farm compliance inspection system to accelerate decision-making, reach compliance and reduce the impact on the environment without leaving field staff to battle with complex data.
Bio: Jonathan works as a senior specialist scientist in the Informatics Unit of the Scottish Environmental Protection Agency (SEPA) focussing on spatial modelling, diffuse agricultural pollution and for the last 2 years developing IoT trials in the agency.
Anni Toner(Russell) – Out of Africa: Data science for good
Summary: As data science is making its presence known in Africa, this talk will focus around how it is used in non-profit applications together with data science in large industry in order to alleviate some of the worst priority crime situations affecting wildlife and the beautiful people of Africa. Topics will cover rhino poaching, social causes as well as white collar crime.
Bio: Anni is the group CEO for the Data Shack collective group of companies. Passionate about data analytics and data science, she is especially fond of getting involved in not-for-profit, data science-for-good initiatives in Africa, helping with freelance work on anti-rhino poaching, network analytics on crime syndicates, analytics for funding and mentoring for woman/child welfare.
Richard Benson – Using data, analytics and technology to prevent concussion in impact sports
Summary: This talk will discuss PROTECHT mouthguards, a head impact management and monitoring system used to understand and prevent concussion in impact sports. Built using data, PROTECHT is a world-first in professional sport and demonstrates the innovative use of technology in a non-traditional field to create meaningful outcomes.
Bio: Richard heads up the global Data Science practice at Keytree, and is responsible for developing a global capability in order to deliver value from data for customers. In 2014, he founded an innovative start-up focussed on applying hardware accelerated techniques to all fields of unstructured data analytics.