Project:Hack5
Event Information
Description
PROJECT:HACK5 IS GOING AHEAD THIS WEEKEND - We wanted to assure you that we are taking the recent outbreak of the CORONAVIRUS COVID-19 seriously and taking all the necessary precautions. Additional cleaning measures have already been put in place at the Microsoft Reactor and we will be in insisting on use of anti-bacterial handwash + handwashing and minimal physical contact during the event, however due to the way the virus is spread, public events do unfortunately increase the risk of contamination. In view of the public health situation, we would ask you not to attend if you have travelled to high impact areas in the past 14 days or otherwise consider yourself at elevated risk for whatever reason. Thank you.
Welcome to Project:Hack5 - our 5th Project Data Analytics Hackathon!
Project:Hack Aims:
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Explore methods and tools to transform how insights and value can be extracted from project data. Ranging from risk and schedule data through to on site presence of personnel.
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Enable delivery professionals to understand the predisposition of projects to specific challenges, to predict them arising and take action to avoid the avoidable.
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Ignite the professional imagination on what can be achieved and shape the future of project delivery.
Masterclasses
We will be running the following 5 masterclasses from industry experts, based around the challenges set. They will target some of the key skills in project delivery and will be tailored to suit a range of skills and expertise.
1. Power BI: The journey from messy data to clean visualisations.
2. Automation for Beginners: An intro to automation with UIPath's Studio X.
3. Programming for Beginners: All you need to get started with Python.
4. Visualisation for Experts: How to spot the flaws and discover the truth from charts and data.
5. Microsoft Azure: Data Science tooling in the cloud to support your hero ideas.
Challenges
The brief for Project:Hack5 is to deliver innovative solutions around health and safety. In response to feedback from Project:Hack4 we are creating a wider range of challenges planned to suit different skillsets and levels of expertise (masterclasses will be based around these). Challenges include:
Sir Robert McAlpine
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Predictive Insights - Cranes can only be used on site when the weather and conditions permit. Using operational crane data and historic weather data, your challenge is to look for discrepancies and find correlations to allow smarter planning for these crane lifts in the future.
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Machine Learning - Wearing PPE on construction sites is essential to mitigate against Health & Safety risks. Your challenge is to use training images, deep learning and object detection models to highlight when there is a health and safety risk and improve site safety.
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Error Detection - SRM receive lots of specifications for everything they build. However, often specifications contain errors, mistakes or omissions. Your challenge is to develop an algorithm to parse the text and help SRM to highlight identify and highlight issues.
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Lessons Learnt - Historically lessons learnt haven't been very insightful. Given the advancements in sentiment analysis your challenge is to see whether you can use these to finally glean any insights into how we can enhance project delivery.
Projecting Success
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Voice Recognition - At Project:Hack4 we developed a dialogue flow to record incidents on a construction site using voice recognition. Your challenge will be to build on existing achievements to make sites even safer.
A14 Integrated Delivery Team
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Data Visualisation - The A14 Team are leading the way when it comes to incident data on site. Using their dashboards your challenge is to improve on what they've already got or create your own dashboards from scratch.
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TBC
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Sentiment Observation - Users enter comments into an observation app, however conventional tools struggle with construction terms, British language and sarcasm. Your challenge is to use emerging advancements in sentiment analysis to better understand the data.
Kier
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TBC
The Health & Safety Executive
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Machine Learning - Health & Safety is a top priority on construction sites. Using construction site images of scaffold, your challenge is to train a machine learning model to assess site safety compliance.
For a taster of what we got up to at Project:Hack4 plus the showreel, presentations, videos, blogs, testimonials and photos click here.
For the latest news follow us on Twitter, LinkedIn & Facebook using #projecthack.
Let’s get started!
We'll start the weekend by introducing the challenges and the data sets. You'll then have the opportunity to pitch your idea to the crowd to invite team members, or join a team whose idea you want to work on. The remainder of the weekend will be spent developing the concepts, interrogating the data, building proof of concepts and delivering a solid pitch to support it. Finally, you'll get the opportunity to present to industry experts who will judge your proposal. Not only will you have the kudos associated with shaping the future of project management, but we will be awarding £1,000 worth of prizes too.
Happy to support you!
There will be on-ground support. Data scientists, PowerBI experts and subject matter experts will help you with technical queries and mentors will guide you towards the perfect pitch. Computer science students are also welcome.
It promises to be a great couple of days with food, drinks, ideas and bucket loads of fun. The only requirement is to come with a lot of bright ideas and enthusiasm!
Space is limited, so please secure your place here as soon as possible to avoid disappointment.
Fees
We will be charging a nominal fee of £25 a ticket. All of the money raised will go to Cancer Research, less eventbrite fees and VAT.
Sponsors
Thank you to our generous sponsors without whom Project:Hack5 would not be possible!
FAQs
What do I need to bring to the event?
Your laptop, access to any software that you are likely to need and bucket loads of enthusiasm.
Am I guaranteed a place?
We'll do our best to accommodate everyone, but the event is likely to be oversubscribed. We'll need to ensure we have a good balance of expertise. Priority will be given to members of the Project Data Analytics Community.
How will my ideas be managed?
Your ideas belong to you. Its your intellectual property. But we encourage all attendees to share their code for the benefit of the community wherever possible.
How will my personal data be used?
Purely for the administration of this event, future events and any agreed follow up actions. It will not be used for any other purposes.
