OXFORD FOUNDRY
AI IMPACT WEEKEND 2020
Delivered in collaboration with EY
AI + CLIMATE CHANGE:
BUILDING AI SOLUTIONS TO HELP SOLVE THE WORLD'S CLIMATE CRISIS 07 - 09 FEBRUARY 2020
INFORMATION PACK
AGENDA 03 BACKGROUND 04 OBJECTIVES AND QUESTIONS 05 DATASETS 08 PRIZES 09 RULES AND SUBMISSION 12 JUDGING AND EVALUATION 15 HOW TO 17 MENTORS AND TIMETABLES 19 FOUNDRY RULES 27 WIFI 30
Contents
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Agenda Friday 7th February 15:30 16.00 Arrival & Registration 16:00 16:10 Welcome Session 16:10 17:00 AI Educational Games 17:00 17:45 Information Session on how to access datasets 18:00 19:00 Panel “Can technology solve the world’s climate crisis?” 19:00 19:10 Networking mixer explained 19:10 21:00 Networking to form teams 20:00 21:00 *Extended Information Session on datasets
Saturday 8th February 09.00 09.30 Registration/arrival 09.30 09.45 Welcome session 09.45 10.30 Final team formation 10.30 13.00 SOLUTION BUILDING 12:00
Deadline for team submissions
13.00 14:00 Lunch 14.00 18.00 SOLUTION BUILDING 18.30 19.00 Dinner 18.30 21.30 SOLUTION BUILDING
Sunday 9th February 08.30 09.15 Arrival and Breakfast 09.30 13.00 SOLUTION BUILDING 13.00 14.00 Lunch 14.00 17.00 SOLUTION BUILDING 17.30
Deadline for submission of solutions
17.30 19.30 Post event Happy Hour
Tuesday 11th February 18:00 18:15 Arrival and introductions 18:15 18:20 Six finalists announced 18:20 19:30 Pitches from the six finalists 19:30 20:00 Drinks reception and networking whilst judges confer 20:00 20:10 Winners announced followed by awards ceremony 20:10 20:30 Networking with drinks and canapes
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Background
To give yourself the best chance of winning, try to ensure that your teams are made up of other students with skills in each of the four areas that your solutions will be judged upon. For example, a team of five may be comprised of students with:
Technical expertise (e.g. coding, computer science, machine
learning, natural language processing, data science, engineering science, mathematics, statistics)
Business expertise (e.g. entrepreneurship, accounting, analytics, business finance, marketing, strategy, economics, technology and operations management)
Societal expertise (e.g. ethics, philosophy, sociology, geography,
history, law, politics, public policy, government, social policy, international development, linguistics, anthropology, medical sciences)
Other (e.g. design thinking, user experience design, creative arts,
innovation, pitching, communication)
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Objectives The primary motivation of the weekend is to encourage participants to: 1. Develop AI and Machine Learning (ML) solutions to climate change that would increase the likelihood of limiting global warming to 1.5ยบC above pre-industrial levels* and/or assist with adaptation to climate breakdown. 2. Develop an understanding of the possible technical, social and economic benefits, risks andunintended consequences of using AI and ML to tackle climate change.
Questions Teams are asked to consider and engage with the following core questions when designing their solutions: 1. Why would AI methods be genuinely useful in your proposed application? 2. What are the quantified benefits, both in terms of immediate and realistic scalable potential, within the bounds of your business model? 3. How does your project consider the UN Sustainable Development Goals and the wider societal and ethical implications of your use of AI? 4. What are the possible technical, economic and societal risks and unintended consequences of your solution?
*Pre-industrial and industrial refer, somewhat arbitrarily, to the periods before and after 1750, respectively, corresponding to the beginning of large-scale GHG emissions.
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Datasets Datasets will be provided by IBM. You will need your IBM ID to access the data, which you will have created when signing up to the event on Eventbrite. Two information sessions will be provided by IBM on Friday 7th February to show you how to access the data. The first session will provide an overview for everyone, and the second will be a more detailed ‘deepdive’ for more technical people.
IBM PAIRS IBM PAIRS (Physical Analytics Integrated Data Repository and Services) GEOSCOPE is a platform, specifically designed for massive geospatial-temporal data (maps, satellite, weather, drone, IoT), query and analytics services. It frees up data scientists and developers from the cumbersome processes that dominate conventional data preparation and provides search-friendly access to a rich, diverse and growing catalogue of continually updated geospatial-temporal information. Please see https://www.ibm.com/uk-en/marketplace/ geospatial-big-data-analytics. For this event we will be giving access to some datasets. A sample is given below: • • • • • •
Global weather (ECMWF derived) Near real time earth observations (NASA LANCE) Burned area (MODIS) Atmospheric weather (ERA5) Historical crop planting map (USA) Seasonal weather forecast (CFSv2)
The Weather Company The Weather Company, an IBM Business, delivers personalised, actionable insights to consumers and businesses across the globe by combining the world’s most accurate weather data with industry-leading AI, Internet of Things (IoT) and analytics technologies. Our solutions provide newscasters, pilots, energy traders, insurance agents, state employees, retail managers and more with insight into weather’s impact on their businesses, helping them make smarter decisions to improve safety, reduce costs and drive revenue. https://www.ibm.com/ weather For this event we will be giving access to a wide range of facilities as documented here http://ibm.biz/twc-apis.
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Prizes
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Winning Team £6,000 cash prize
Best Technical Solution ÂŁ2,000 cash prize Best Business Case ÂŁ2,000 cash prize 10
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Rules and Submissions Over the weekend, interdisciplinary teams will be required to design an innovative, financially viable and ethically responsible AI-based solution to address one aspect of global warming of their choosing. Each project should directly address the question of how AI can help keep warming below 1.5ยบC and/or assist with adaptation to climate breakdown. The weekend is specifically designed to bridge the gap between AI expertise and specialised knowledge of climate change in order to pave the way for constructive collaboration on AI application to climate change. Additional reading material will be provided in the form of a report, which will present key examples of climate challenges where AI has been, or could be, fruitfully applied. This will provide a sense of the scope and diversity of current approaches in the field. We hope this will inspire participants to either create novel solutions or significant advancements on pre-existing ideas. For example, projects could include designing an AI solution that will lower emissions and energy demand, increase efficiency, or encourage a shift away from fossil-fuel-based infrastructure and reliance. Another example is designing an AI solution that will encourage increased public or private awareness and help drive climate action to reduce emissions.
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Submissions may include: •
Overview of the solution
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Algorithm of current technical solution
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Envisioned extension of current solution (solution-to-be)
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Business plan for roll-out of solution – should the team wish to take a different approach beyond commercial, the team should explain the approach and ensure that the approach is likely to be adopted in the real world
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Other societal considerations to ensure implementability of solution, such as ethics, legislative, regulatory, policy, political, sociological, education, extent to which the UN’s Sustainable Development Goals (SDGs) have been considered, etc.
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Teams may choose to detail more information in the text box below the slide. *Optional
Format • • • •
Submissions are expected in PowerPoint, in text format and charts and/or visualizations are welcome Submissions must have a max. 10 PowerPoint slides, and can include additional material(s) on technical product A max. word limit of 1,000 words within the note section of PowerPoint slides (200 words per slide max.) Any technical code must be submitted independently. Recommended to upload your files to a cloud storage service, like Google Drive, Dropbox, or OneDrive, and share the link to download.
Email the above to: info@oxfordfoundry.ox.ac.uk with the subject line: “A.I. Impact Weekend – [team name]”
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Judging and Evaluation •
Submissions will be evaluated by a panel of judges made up of senior members of the EY Global Innovation Team and senior faculty from Oxford University
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All applications will be reviewed, and the top six finalists will be announced at the start of the pitch night, at which point they will pitch their 5-minute presentations to the panel of judges in front of a live audience
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The panel will evaluate the submissions on the feasibility of an actionable solution which holistically accounts for a range of considerations across various disciplines.
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Judging Criteria 25% Technical Quality & feasibility of technical solution, with the demonstration of a working model. Areas may include: • • • • • • •
Appropriateness of the method to the problem Coherence with project and consistency with the other sections Feasibility and scalability of the solution Creativity and innovativeness of model Clear and compelling presentation Visualization of the results Code quality
25% Business Viability Quality and feasibility of the business plan/actionable solution. Topics may include (but not constrained to): • • • •
Description of core customer problem that they have identified as a business case and the solution Description of target customers, and potentially further details such as demographics, geography, etc. High-level description of sales approach Next steps to commercialization – should the team wish to take a different approach beyond commercialisation, the team should explain the approach and ensure that the approach is likely to be adoptable in the real world
25% Societal Comprehensiveness/depth of analysis on area(s) for consideration (e.g. ethical, legislative, regulatory, policy, political, sociological, education, etc.) Depending on the solution proposed, the team may choose to be comprehensive or select a particular area to dive into. Possible angles may include (but not constrained to): • • • • • • • • •
How your project considers the UN Sustainable Development Goals Ethical implications of your use of AI Shifts in regulations required to implement your solution in society How your solution can help inform policy User trust in automated intelligent solutions Limiting bias Data privacy and security AI and human cooperation AI and legal liability
25% Others • •
Innovation Clarity and cohesiveness of presentation
To get started and develop a better understanding of the topic, read: Artificial Intelligence & Climate Change: Supplementary Impact Report, and the associated references: https://bit.ly/2SKYSU3
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How to: Register your team Register now! You are encouraged to form your teams at the pre-event networking mixer on Friday 7th February (19:10 – 21:00) and then register your team by 12pm on Saturday 8th February. You will be provided with a link to register your team. Team members must all be registered as members of the Oxford Foundry.
Submit your pitch Once you have finalised your PowerPoint presentation and supporting code, send it to info@oxfordfoundry.ox.ac.uk by the deadline of 5:30pm on Sunday 9th February. Subject line: “A.I. Impact Weekend – [team name]”
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Mentors The mentors are available at the listed times to support you in building your solutions over the weekend. The Foundry staff will pre-book 15-minute mentoring sessions for your team during the weekend so you will have allotted times to meet with both in-person and virtual mentors. The virtual mentors will be available to connect with via phone in the upstairs meeting rooms. All contact information will be provided in the meeting rooms. The mentors are not there to provide you with solutions, but to provide you with advice and guidance on the solutions you will be working on. Expert mentors and student mentors will be given a coloured arm band at the event, so you can easily identify them and approach them for support. *mentor availability and areas of expertise can be found in this information pack. Full mentor bios can be found in a separate pack which will be provided to you on Saturday morning.
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Expert Mentors (Onsite) Anna Fink – Associate Director in Global Innovation, EY Availability: All day Sunday Areas of Expertise: Artificial Intelligence, analytics and Big Data, financial services
William Gurney – Senior Product Manager at EY-Seren Availability: Sunday 10:00 –12:00 Areas of Expertise: B2B and B2B2C product methodologies, cloud architecture and security, data extraction and loading Kamil Jedryczek – Senior ML/AI Engineer, EY Availability: All day Saturday and Sunday Areas of Expertise: Machine Learning, Deep Learning, data science, mathematics and statistics, Computer Vision Amy Kao – Consultant, EY Global, Transaction Advisory Services Availability: Saturday 14:00 –17:00 Areas of Expertise: Analytics and Big Data, product management, renewable energy supplier and services, behavioural neuroscience Rodrigo Madanes – Director, EY Brain Availability: Saturday 14:00 –17:00 Areas of Expertise: Product/Market Fit, Product Design
Tim Santos – Senior Data & Scientist, EY Availability: Saturday 14:00 –17:00, Sunday 14:00 –16:00 Areas of Expertise: Deep Learning, NLP & Speech, Computer Vision, Safe and Trusted AI, Data Storytelling Mustafa Somalya – Manager in the Global Innovation Technology Practice, EY Availability: Saturday 14:00 –17:00, Sunday 14:00 –16:00 Areas of Expertise: Artificial Intelligence, Machine Learning, Deep Learning, Computer Vision, Natural Language Processing, Data Analysis Robert Spencer – Director, Sustainable Development, AECOM Availability: Saturday 13:00 –17:00, Sunday 13:00 –16:00 Areas of Expertise: Climate change, circular economy, industrial symbiosis, natural capital, ecosystem services, nature-based solutions etc. Helena Webb – Senior Researcher, Human Centred Computing, University of Oxford Availability: Saturday 10:00 - 13:00 Areas of Expertise: Social impacts of innovation, ethics, responsible innovation, human computer interaction, computer supported cooperative work, social research
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Dr Phil Grünewald – (FICE), EPSRC Fellow, Energy Programme, ECI Availability: Saturday 11:00 - 15:00, Sunday 11:00 - 15:00 Areas of Expertise: Household electricity use patterns, Machine Learning from electricity and activity data, low carbon systems integration Professor Pegram Harrison – Senior Fellow in Entrepreneurship, Saïd Business School Availability: Saturday 14:00–17:00 Areas of Expertise: Entrepreneurial leadership and strategy, business model design, entrepreneurship Stuart Armstrong – Senior Researcher, Future of Humanity, University of Oxford Availability: All day Saturday and Sunday Areas of Expertise: AI safety, mathematics of Machine Learning, off-policy learning, inverse reinforcement learning, existential risks in general, space colonisation Thomas Morstyn – Research Fellow, Engineering Science, University of Oxford Availability: All day Saturday Areas of Expertise: Distributed control, electric vehicle coordination, local energy market design, microgrids, peer-to-peer energy trading, power system engineering Katherine Collett – Research Fellow, Engineering Science, University of Oxford Availability: Saturday 09:00 –17:00 , Sunday 14:00 – 21:30 Areas of Expertise: Clean energy generation technologies, electrification of transport, energy storage technologies, decarbonisation of industry and heat Dr Jun Zhao – Senior Researcher, Human Centred Computing, University of Oxford Availability: Saturday 10:00 - 13:00 Areas of Expertise: Responsible AI innovation, algorithm bias and explanation, human-computer interaction Phil Livermore – CEO, Ebico Availability: All day Saturday and Sunday Areas of Expertise: Retail energy, affordable warmth, renewable energy, business leadership and development, stakeholder management, corporate governance Lucas Kruitwagen – Data Scientist, Oxford Smith School of Enterprise & Environment Availability: Saturday 09:30 –13:00, Sunday 09:30 –13:00 Areas of Expertise: Sustainable finance, energy systems, Machine Learning, remote sensing, web development Sam Bickersteth – Chief Executive, Opportunity International Availability: Sunday 13:00 –16:00 Areas of Expertise: SClimate Change, Smallholder agricultural systems, Ecosystem valuation, climate finance; climate impacts on health; microfinance.
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Ajit Jaokar – Course Director Artificial Intelligence, University of Oxford Availability: All day Sunday Areas of Expertise: AI, machine learning, data science, Internet of Things (IoT)
Dr Omer Gunes – Junior Research Fellow in Computer Science Availability: Saturday 10:00–14:00, Sunday 10:00–14:00 Areas of Expertise: Natural Language Processing, Deep Learning, web extraction , software engineering Jordan Naylor – Senior Product Manager, Tenable Availability: All day Saturday and Sunday Areas of Expertise: Digital product development, user research, market analysis, roadmap creation, requirements gathering, UX Prototyping, Design Thinking Damian Ryan – Climate Policy Specialist Availability: Saturday 15:00 –17:00 and all-day Sunday Areas of Expertise: International climate negotiations, general climate policy (including market mechanisms, finance, transport, buildings), climate politics Daryl Rodrigo – CTO and Co-founder Metronome Technologies Availability: Saturday 11:00 – 15:00 and Sunday 11:00 – 15:00 Areas of Expertise: Electronic engineering with a focus on Artificial Intelligence, reducing the carbon footprint of the electrical grid using AI Nataliya Tkachenko – Research Associate in Sustainable Finance, University of Oxford Availability: Sunday 10:00–16:00 Areas of Expertise: Extreme weather events, sustainable urban/landscape designs, remote sensing, geosocial modelling, Machine and Deep Learning Dr Yongchao Huang – Researcher, Computer Science, University of Oxford Availability: Saturday 13:00–17:00, Sunday 13:00–17:00 Areas of Expertise: Engineering, information techniques, finance, retail, trading, computational science, cryptocurrency, and music Brian Innes – Watson Internet of Things Developer Advocate, IBM Availability: Saturday 10:00 –18:00 and Sunday 10:00 –17:00 Areas of Expertise: Platform as a Service – IBM Cloud, Cloud Computing, NodeJS, JavaScript, Node-RED and Containers Sean M. Tracey – Developer Advocate (Client, Partners, and Industry), IBM Availability: Saturday 10:00 –18:00 and Sunday 10:00–17:00 Areas of Expertise: Rapid prototyping and proof of concept creation, highly scalable internet services, JavaScript, Python, C++, Node-RED, technical writing
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James Burn – Sales Engineer/Meteorologist, IBM Availability: Saturday 15:00 –19:00 and Sunday 15:00 –17:00 Areas of Expertise: Weather forecasting for land and sea, scientific data management and processing, managing databases and text-search engines Stefan Kwiatkowski – Technical Consultant, IBM Availability: Saturday 10:00–18:00 and Sunday 10:00–17:00 Areas of Expertise: Hands-on use of IBM technology to turn ideas into working prototypes, Design Thinking to develop MVP, Python, Node-RED Dusan Magula - Data Scientist, IBM Watson Studio and Watson Machine Learning Availability: Saturday 10:00 –18:00 and Sunday 10:00 –17:00 Areas of Expertise: Data Science and AI, Rapid Prototyping and Proof of concept development, Pairing business problems with Data Science and algorithms Brenda Boardman – Emeritus Fellow, Environmental Change, University of Oxford Availability: Saturday 14:00 – 17:00 and Sunday 09:00 – 11:00 Areas of Expertise: Energy use in the home, energy demand reduction, local transport initiatives, fuel poverty in the UK and Europe Kyle C Grant – Founder and CEO, OXWASH Availability: Saturday 11:00 –15:00 Areas of Expertise: Climate change, circular economy, software development, venture capital, process-engineering Tina Fawcett – Senior Researcher, Environmental Change, University of Oxford Availability: Sunday 09:30 – 12:30 Areas of Expertise: Energy demand, energy policy and governance, buildings, renovation, carbon emissions, climate change
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Expert Mentors (Online) Olivia Sackett – Data Science Lead, EY Availability: Sunday 10:00 – 12:00 Areas of Expertise: Data science, uses Design Thinking, Lean and Agile methodologies to foster innovation Dr Graham Sinden – Director, EY Availability: Sunday 10:00 –14:00 Areas of Expertise: Environmental business, policy and science – including international climate and energy policy, climate risk, renewable energy, and finance Vishal Punwani – MD and CEO at Sophya Availability: Saturday 08:30–12:00 and Sunday 08:30–12:00 Areas of Expertise: Data analytics, Artificial Intelligence, medicine, public health, education, start-ups, leadership Ronit Kanwar – CEO and Co-founder, Empower Energy Availability: Sunday 10:00 - 16:00 Areas of Expertise: Start-ups, pitching, business models, renewables, emerging economies, social entrepreneurship, UN SDGs, fundraising
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Foundry Rules Respect the space Cleaning up after yourself is a clear and basic requirement for using the Foundry, so please leave the space tidy and clean. This includes: • • •
Returning used cups, glasses, plates to the used crocks trolley and/or café area Putting your rubbish in the bins provided Returning chairs and tables to their original location if you’ve moved them
Respect each other This is a long weekend and you will be working hard. If you bring your best self, and show politeness and consideration to others, you will always be welcome at the Foundry. Aggressive behaviour will not be tolerated. Anyone using threatening language or behaviour will be asked to leave and may be barred from returning. Look after your stuff We do not provide lockers or secure places to keep computers or any other personal equipment, so it’s up to you to take responsibility for the safety and security of your own possessions. Please keep an eye on your stuff, and definitely don’t leave anything in the Foundry overnight.
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WIFI • If you’ve forgotten your SSO or never activated: Go to https://webauth.ox.ac.uk/activate and follow the four steps to activate • If you’ve forgotten your SSO password: Go to https://webauth.ox.ac.uk/reset_password and follow the four steps to reset • If you need to check if your SSO is registered for Eduroam Wi-Fi: Go to https://register.it.ox.ac.uk/self/index and log in with your SSO and corresponding password If you can see the option to ‘Register for a Remote Access (Eduroam WiFi/VPN) account’ click the wording, then click to accept the ‘terms and conditions’ and then set a remote access password and wait 15 minutes for this to be active. If you see the option to ‘Change a Remote Access (Eduroam WiFi/VPN) account password’ then simply set a remote access password and wait 15 minutes for this to be active to reset. On your device(s) select Eduroam for Wi-Fi Enter your SSO with @ox.ac.uk added, e.g. mast1234@ox.ac.uk Enter the password you’ve set, and you should be connected
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OXFORD FOUNDRY
AI IMPACT WEEKEND 2020
Delivered in collaboration with EY