Trustworthiness and Bias in Data Science 

Date: Monday, 27 March 2023 
Time: 17:30 - 20:00 
Location: Northampton Suite, Fourth floor, University Building, City, University of London, Northampton Square, London, EC1V 0HB
Dress code: Business / Smart casual 

Data Science helps support good data-driven decisions. These can have positive or negative impacts on individuals, organisations and wider society in ways that may be inadvertent or deliberate. The underlying datasets are an important part of this, but who owns them, who is represented by them and who has control over their collection and use has obvious implications for who benefits from data-driven decisions.
 
Join us for an evening of interesting perspectives and stimulating discussion in the company of our experienced and insightful panel, alumni, current students and staff, at which we explore the issues and debate how the benefits of data science can be more fairly shared by all. Beverages and snacks will be served throughout the networking reception. You are welcome to bring a guest, but please add their name at the registration.

Programme

17:30 - 18:30    Registration, Networking and welcome drinks
18:30 - 18:35    Welcome
18:35 - 19:10    Panel discussion ‘Trustworthiness and Bias in Data Science’ (Chair - Dr Aidan Slingsby)
                         - Michael Kibedi (MSc Human-Computer Interaction Design, 2022) - Fluent Interaction, User Experience Researcher
                         - Paula Rudkin (MSc Information Science, 1994) - Knight Frank, Partner, Head of Data Management
                         - Mitul Vadgama (BSc Business Computing Systems, 2009) - Lloyds Banking Group, Senior Data and Analytics                                          Strategy Manager
                         - Yanhong (Billy) Zhao - Education First, Senior Data Scientist
19:10 - 19:30    Q&A (Moderator - Dr Chris Child)
19:30 - 20:00    Networking Reception over food and drinks

Speakers Profile

	Michael Kibedi (MSc Human-Computer Interaction Design, 2022) - Fluent Interaction, User Experience Researcher Michael is a user experience researcher with interests at the intersection of sociology, technology, and design history. He holds an MSc in Human-Computer Interaction Design from City, submitting a dissertation examining how accent bias affects the use of voice assistants, under the supervision of Dr. Alex Taylor. Michael continues to independently engage with HCI research through a critical Black Studies lens.
	Mitul Vadgama (BSc Business Computing Systems, 2009) - Lloyds Banking Group, Senior Data and Analytics Strategy Manager Mitul graduated from City in 2009 and since gained a wealth of experience from leading successful projects in data, technology, people, and business practices to a range of companies globally from large organisations to start-ups and tech companies.
	Paula Rudkin (MSc Information Science, 1994) - Knight Frank, Partner, Head of Data Management Paula graduated with a Masters in Information Science from City University in the 90s. Industry experience includes stints at a Magic Circle Law Firm, Lloyd’s of London and currently Paula is Head of Data Management at Knight Frank LLP. Alongside the worlds of Data and Commercial real estate, Paula is passionate about DE&I and the role that Data has to play.
	Billy Zhao - Education First, Senior Data Scientist Billy is currently a senior data scientist at the multinational education company Education First. Recently he helped launch a hate crime support service called On Your Side within the UK for East and Southeast Asian communities. Previously he worked at Alan Turing Institute as a summer fellow on the Data Science for Social Good program and he worked at AI for Good UK, a startup specialising in building chatbots for different domains like social justice and sexual health as a data scientist. In his free time, he likes to volunteer with DataKind UK.

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