Formula 1 Data Analysis Robert Hardwick

Myself and my Motivations  Computer Science & Artificial Intelligence  Interest in Formula 1  Applying techniques learnt in Machine Learning module  Interested in working with Industry  Enjoyed 3 rd Year Dissertation Project which had elements of Machine Learning (Object Tracking)  Experienced in Python

Importance of Strategy ''There could be two competing strategies, one which gives you the small probability of a shot at a podium, but if that goes wrong, you will end up 17th, 18th or 19th, However, there might be another strategy option that says that we can almost guarantee you seventh place. So the human has to come in, look at the campaign management and say, 'Well, do I really want to bag the 2 points? Or take the small percentage chance of going for the podium?‘ - Different strategies can yield different rewards - High Risk or Low Risk Strategy? Computers are Formula One's wizards of winning – NY Times, interview w/Neil Martin (July 2008)

What factors are involved in Race Strategy?  Number of Laps / Track Characteristics  Amount of Fuel to be carried  Car’s Speed  Pit Stops  Tyres – SuperSoft, Soft, Medium, Hard, Intermediate, Wet  Expectation of competitors  Weather Conditions  Likelihood of Safety Car stm will-approach-the-singapore-grand-prix/

Computers and Strategy  The ability to respond immediately to any change during a race is essential, considering the small margins at stake, and vast amounts of information are generated during every test and race.  Simulations are fed into computers that will offer a proposed race strategy.  Computer programs help make decisions that may alter the race.  Can communicate to engineers on the pit wall from the other side of the world Computers are Formula One's wizards of winning – NY Times, interview w/Neil Martin (July 2008) Formula for Success – success/ article#ixzz29VrNm3Aehttp:// success/ article#ixzz29VrNm3Ae

What the research involves  Analysing data – make sense of the data.  Making predictions from observations.  Use techniques from Machine Learning Module.  Can we advise a race strategy from the results?  Presenting the predictions in a manner that is clear and helpful.  Adaptation or improvement of existing techniques

Your ideal team and who they fit in the research tasks  Highly Motivated colleagues  Interest in Formula 1  Hardworking  Taking Machine Learning Module  Good mathematical ability  Working well in a group