Work from home, Reality or Myth? Exploring Future of work, A Data AI Hackathon

This event is a hybrid event with participants in person at the London Reactor and remote attendees via Microsoft Teams.

Microsoft and University of Oxford Collaboration

Abstract

The pandemic is (mostly) behind us now, but have perceptions and mindsets of city dwellers changed forever?

Do young people see the world in the same way?

Is there any evidence that people in cities now value work-life balance?
Is work from home a reality or a myth?

Find out for yourselves in this exciting hackathon.!

At the Artificial Intelligence: Cloud and Edge Implementations course at the University of Oxford, last year, we worked with Open data from Transport for London and explored the behaviour of people in the pandemic and following the pandemic

Now, we are exploring specifically the question of work life balance and work from home in London

Created in partnership with Microsoft and University of Oxford, Work from home - Reality of Myth? - Exploring the future of work - A Data AI Hackathon addresses the above questions

There are two broad themes: A cloud-based approach with Azure and a Python based approach.

We present an approach we took in the class at the University of Oxford and we invite you to expand on the approach by adopting either of the two approaches.

You are free to expand on our approach, explore other datasets we share to develop new insights and solutions for this challenge.

• Rules: Form a team of maximum (3) individuals to take the data and process results. Choose your team prior to the event or amongst attendees.

• Suggested Tools: Either Python OR Azure based tools (PowerBI, Python, Power Platform, AI builder, Synapse, CosmosDB, and Azure ML.)

• Prerequisites: We recommend that attendees are students eager to learn new skills related to the above tools. If you are not fully knowledgeable with the above tools, you are free to apply what you learn in our offered workshop content or you can use the hackathon as a learning opportunity / opportunity to work with others.

• If participants do not currently have an Azure subscription, students can activate their Azure for Student subscription at http://aka.ms/Azure4students

• Prize: The winning team (of 3), Amazon vouchers for 100 USD per participant. Additional prizes are TBD

Agenda:

Day 1: Nov 30th 5PM – 8PM

Introduction to the problem, London data comparison, details for the hack shared to group.

5:00 PM: Kick-Off presentation with introduction to additional Data & AI tools

Day 2: Dec 1st 5PM – 8PM

Hackathon / Informative Presentations
Jay Gordon, Paul DeCarlo, Jasmine Greenaway sessions 30 min tech focused on challenge and azure solutions
Office hours - work on Hackathon/Ask questions of available experts

Day 3: Dec 2nd 5PM – 8PM:
Present Hackathon findings and solutions; choose winner
All teams will develop solutions and submit them by 2pm GMT on the 2nd of Dec.

The Shortlisted Finalist Teams will have the opportunity of presenting solutions to judges.

In Person Speakers at London Reactor:

Ajit Jaokar

Visiting fellow: Dept of Engineering Science and Course Director: AI: Cloud and Edge Implementations - University of Oxford
https://www.linkedin.com/in/ajitjaokar/

Chis Noring
Senior Cloud Advocate, Microsoft
https://www.linkedin.com/in/christoffer-noring-3257061/

Ayca Mutlu
Lead AI Tutor: Artificial Intelligence-Cloud and Edge Implementations
https://www.linkedin.com/in/ayse-mutlu/

Dr Benjamin Auffarth
Head of Data Science, Love Holidays

Remote Presenters

Paul DeCarlo

Principal Cloud Advocate and Manager in "Big Data" for Microsoft Developer Relations
https://www.linkedin.com/in/pjdecarlo/

Jasmine Greenaway
Senior Academic Cloud Advocate in Data and Machine Learning for Microsoft Developer Relations
https://www.linkedin.com/in/jasminegreenaway/

Jay Gordon

Microsoft Azure Cosmos DB Senior Program Manager
https://www.linkedin.com/in/jaygordon0042/

Ruth Yakubu
Principal Cloud Advocate in "Artificial Intelligence" for Microsoft Developer Relations
https://www.linkedin.com/in/ruthyakubu/

Pre-requisites:
We recommend that attendees are students eager to learn new skills related to the above tools. If you are not fully knowledgeable with the above tools, you are free to apply what you learn in our offered workshop content or you can use the hackathon as a learning opportunity / opportunity to work with others.