The Society of Data Miners is delighted to announce the second in a series of meetings for consultation and discussion on a proposed code of ethics for the data mining profession.
Location: The Alan Turing Institute, The British Library, 96 Euston Road, London NW1 2DB (near Kings Cross / St Pancras)
Date & Time: 6:00 pm, Monday 20 March 2017
Michael Butcher, Chairman of dataLearning and Delcredere Consultants Ltd
Dr W Kuan Hon, Consultant Lawyer for Pinsent Masons
Tom Khabaza, Chairman of the Society of Data Miners
Hugh Lawson-Tancred, Ethics Co-ordinator of the Society of Data Miners
Following a successful initial meeting, the topics to be included in the code of ethics has become clearer; the required areas range across the potential harm that abuse/misuse of data can create, the various forms that permission for the use of data can take, the focal points of responsibility and broader issues of fairness and societal benefit. The second meeting will seek to further develop the agenda to be covered by the code, with a view to detailed discussion of particular areas in the remaining meetings of the series.
The panellists will be:
Michael Butcher, a past President of the Franco-British Lawyers Society. Michael is also former General Counsel and Company Secretary of Veolia Environment UK and former Legal Director and Company Secretary of Veolia Water UK plc., and has also acted as the Group Legal Director and Company Secretary of Eurotunnel, with a previous career in Europe and the USA in Exxon’s Law Department, and founded the consulting company Delcredere Consultants Ltd. Michael graduated from Keele University with a BA (Hons) degree in Philosophy & Law, is a Bencher of the Honourable Society of Gray’s Inn and has been honoured by France and made Officier dans l’Ordre National du Merite.
Michael will address the general approach to drafting a code of best practice, drawing on the wide and diverse experience of the members of SocDM and other stakeholders.
Dr W. Kuan Hon, MA(Cantab), LLM(UPenn), MSc(Imperial), LLM(QMUL),PhD(QMUL) (see kuan0.com), is an Editor of the Encyclopaedia of Data Protection and Privacy, Fellow of the Open Data Institute, a Consultant Lawyer for law firm Pinsent Masons, formerly a Senior Researcher at Queen Mary University of London focusing on legal issues in cloud computing including data protection, and an English solicitor and (non-practising) New York attorney, with degrees in law and computing science and a joint law/computer science doctorate. Kuan has presented to CERN, the Cloud Security Alliance and ENISA and published many articles, as well as being a member of the British Computer Society's Information Privacy Expert Panel.
Kuan will discuss ethical issues to be covered by SocDM's professional code, in the context of personal data and data protection laws.
Tom Khabaza is the Chairman of the Society of Data Miners, and a data analytics practitioner of 25 years standing. Tom will chair the panel discussion, present SocDM’s work on the code of practice so far, and indicate the possible areas for further discussion and expansion.
Hugh Lawson-Tancred is the Ethics Co-ordinator of the Society of Data Miners, and has worked on both the practical and theoretical side of data ethics. Hugh will discuss the future work of SocDM on drafting a code of ethics, and the proposed series of consultative meetings.
The Society of Data Miners is delighted to announce a talk by Jon Blower, Chief Technology Officer for the Institute for Environmental Analytics, to be held at 6pm on Monday 20th February 2017, at the Royal Statistical Society, 12 Errol St, London, EC1Y 8LX.
The environment impacts upon many aspects of our lives, from acute perils such as floods and storms to everyday concerns including air quality, transport, food supply and finance. The potential impacts of climate change are not yet well understood but are vital to longer-term planning. We are gathering huge amounts of data about our environment, on all scales from local to global: satellites produce terabytes of data every day and a rapidly-increasing number of sensors monitor a wide range of phenomena. How can we make sense of all this data and turn it into useful information from which we can all benefit? In this talk I will present an overview of the wealth of data and techniques available to us, and show why we need to combine skills from environmental science, mathematics and information technology. I will illuminate these through a set of concrete examples of how environmental data can be put to diverse and sometimes surprising uses.
Jon Blower is the Chief Technology Officer for the Institute for Environmental Analytics (IEA), a partnership of academic and commercial organisations, based at the University of Reading. He has a background in geoscience with a degree in Natural Sciences from Cambridge and a PhD in physical volcanology from Bristol. After working in industry as a software engineer he joined the University of Reading in 2003, and joined the IEA when it was formed in 2015. He leads a number of collaborative projects in the area of environmental informatics and visualisation, applying advanced techniques in information technology to make environmental information more accessible and useful for researchers and decision-makers.
Many thanks to Kuan Hon for her excellent and highly informative talk about data protection law. Thanks also to all those who attended; as always, it is you, as well as the speaker, who make the event exciting! Also thanks again to our hosts, the Royal Statistical Society.
Many thanks to Matthew Tod for his fascinating and entertaining presentation on joining big digital data to small customer data, and thanks to all those who attended for making the discussion so interesting. Also many thanks to Google Campus London for providing the venue.
Slides are available here:
The Society of Data Miners, in association with the Alan Turing Institute, is delighted to announce the second in a series of practitioner seminars. This will be a talk by Rick Adderley, CEO of A E Solutions Ltd, to be held at the Alan Turing Institute, British Library, 96 Euston Road, London NW1 2DB (near Kings Cross / St Pancras) at 2-4pm, Thursday 1st December 2016.
This talk will discuss the challenges of mining Police data to provide operational intelligence. Rick will introduce the data and systems involved in day-to-day reporting, resource tasking and arresting offenders, including the issues of linking data across systems and the challenges of extracting useful information from free text. Digging into more advanced analytics, Rick will discuss criminal network analysis or CNA, an important tool in crime prevention and detection, and the differences between analysing overt networks (SNA) and covert networks (CNA). Rick will describe how supervised and unsupervised learning methods have been used in the identification of prolific and priority offenders, and how the results are used to solve crimes and target offenders, and to use resources effectively. Finally Rick will describe the EU-funded FP7 project Valcri (www.valcri.org), and its task to provide a Police data set that is suitable for release into the research community.
Rick is a retired Police Officer having served for 32 years in an operational capacity. His legacy to the Service is an intelligence product which was developed for the West Midlands region and is now used by all UK Police Forces; he specialises in profiling criminal activity. Rick retired in 2003 and started his data mining company, A E Solutions, focusing within the UK Emergency Services arena. Rick is also a director of the Society of Data Miners.
Towards a professional code of ethics for data mining
First in a series of meetings
Summary: The first in a series of meetings to collect insights and issues from the data mining and analytics community on a practical code of ethics for the profession
Tom Khabaza, Chairman of the Society of Data Miners
Hugh Lawson-Tancred, Ethics Co-ordinator for the Society of Data Miners
Hetan Shah, Executive Director of the Royal Statistical Society
Mariarosaria Taddeo, Researcher at the Oxford Internet Institute, University of Oxford & Faculty Fellow of the Alan Turing Institute
Richard Beaumont, Product Manager at OneTrust
Location: Digital Catapult London, 101 Euston Road, London NW1 2RA (near Kings Cross / St Pancras)
Date & Time: 1:30-3:30 pm, Monday 5 December 2016
The Society of Data Miners is delighted to announce the first in a series of meetings for consultation and discussion on a proposed code of ethics for the data mining profession.
Data mining and data analysis now play an enormous role in social and economic life, but this has not been accompanied by appropriate reflection on the ethical responsibilities of practitioners. The Society of Data Miners will conduct a series of meetings to obtain a broad knowledge-base, to draft a code addressing the ethical issues which face the data analytics profession. The first of these meetings will take the form of a panel discussion, involving senior experts on issues of data ethics:
Hetan Shah is Executive Director of the Royal Statistical Society. He will talk about the wide range of ethical issues which emerge in the data science landscape, and argue that multiple mechanisms are needed to deal with this, including a Council for Data Ethics.
Mariarosaria Taddeo is a researcher at the Oxford Internet Institute, University of Oxford, and Faculty Fellow at the Alan Turing Institute. Mariarosaria will focus on the relevance of Data Ethics to support the development and employment of data science for the good of society, including the ethics of data, the ethics of algorithms and the ethics of practice.
Richard Beaumont is Product Manager at OneTrust, providers of privacy management software to help businesses meet legal obligations for privacy and data protection. Richard will discuss questions such as: Just because you can, does it mean you should?
Hugh Lawson-Tancred has worked on both the practical and theoretical side of data ethics. Hugh will concentrate on the issue of deanonymisation and the ethical cost of collecting, holding and analysing large datasets. Hugh will also summarise the work of the Society so far on drafting a code of ethics, and the proposed series of consultative meetings.
Tom Khabaza is the Chairman of the Society of Data Miners, and a data analytics practitioner of 25 year standing. Tom will chair the panel discussion, hoping to elicit a draft list of issues that the Society should address in its code of ethics.
The Society of Data Miners is an independent non-profit organisation for the public good with the purposes to:
- Increase the benefits of data mining to society;
- Increase knowledge and awareness of the nature and benefits of data mining;
- Advance the profession of data mining;
- Form a community of and for data miners.
In pursuit of these purposes, the Society of Data Miners will:
- Hold events for data miners to exchange experience, formulate best practice and broaden the scope and benefits of data mining;
- Encourage adoption of the highest ethical standards in data mining;
- Provide public and media information about data mining and its benefits;
- Provide certification of data miners who have reached a recognised level of competence and experience in data mining practice;
- Encourage the creation of a literature of data mining practice;
- Encourage data mining standards;
A Sneak Peek into how Sky’s Insight & Decision Science Team Science the Sh*t out of Stuff - THANK YOU
Many thanks to Gavin Meggs for his excellent presentation about Sky’s customer analytics, and to the Alan Turing institute for hosting. A video of the event is available here: https://www.youtube.com/watch?v=hrTNYKGzPOw
Many thanks to Ashish Umre from Tesco for his insights into digital optimisation analytics in a large corporate environment, and to all who attended and contributed to the lively discussion!