A Tale of Two Cities - Exploring the future of work - A Data AI Hackathon

🚨 ** This is an In-person event!! ** 🚨

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

But is this a global trend?

Created in partnership with Microsoft and University of Oxford, the A tale of two cities - Exploring the future of work - A Data AI hackathon addresses the above questions

We present the findings from London open data and the hackathon will ask the same questions based on open data in New York
What will we find in this saga of two cities? Do we see a pattern with wider implications? What does it mean for the future of work?

We invite you to join us in reviewing datasets from these two cities using Data and AI tools to develop new insights and solutions that emerge from data captured before, during, and after the pandemic.

• Rules: Form a team of maximum (3) individuals to take the data and process results. Choose your team prior to the event or on-site amongst attendees.
• Suggested Tools: PowerBI, Python, AI builder, Synapse, CosmosDB, and Percept.
• Prerequisites: We recommend that attendees are data professionals and possess 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.
• Azure Credits: If participants do not currently have an Azure subscription, we have a limited supply (25) of passes with some credit available.
• Prize: The winning team (of 3), currently will get (3) $100 Amazon gift cards and (1) free placement to the Oxford University Digital Twins course (online)- team will have to decide who receives the course. Additional prizes are TBD*

Agenda:
• Day 1: July 21st 530PM – 8PM : Introduction to the problem, London data comparison, details for the hack shared to group.
• Day 2: July 22nd 9AM – 5PM : Hackathon / Informative Presentations

• 9:00 AM : KickOff presentation with introduction to additional Data & AI tools – Paul DeCarlo & Ruth Yakubu
• 9:30 AM : Observable HQ Team Presentation - Anna Wiederkehr & Paul Buffa
• 10:00 AM : NoSQL 101 and Intro to Cosmos DB – Jay Gordon
• 10:30 AM : Introduction to Azure Percept – Amira Youssef
  Office hours - Hackathon/Ask questions of available experts

• Day 3: July 23rd 9AM – 1PM : Present Hackathon findings and solutions; choose winner
We hope to share insights from this work, widely building on our experience at the University Of Oxford.

Presented by:
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/

Ruchi Bhatia
3x Kaggle Grandmaster || Tutor AI, University of Oxford || Graduate Student at Carnegie Mellon University
https://www.linkedin.com/in/ruchi798/

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

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

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

Amira Youssef
Principal Program Manager Lead, AI @ Edge, Azure Percept at Microsoft
https://www.linkedin.com/in/amirayoussef/

Anna Wiederkehr is a designer and visual journalist with a specialization in data visualization. She is a designer at Observable where she works on visual interfaces for data analysis that help users think and collaborate openly with data.
https://linkedin.com/in/hodgsonac/

Paul Buffa is a data visualization developer at Observable with a background in data analysis and teaching. He's spent years building custom data visualization tools and stories on topics such as machine learning, cyber security, education, and health.
https://www.linkedin.com/in/paul-buffa/