Ansgar Koene

Ansgar Koene

Brussels, Brussels Region, Belgium
17K followers 500+ connections

About

My current work focuses on the development of design and regulatory tools to maximize the…

Activity

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Experience

  • EY Graphic

    EY

    Brussels, Brussels Region, Belgium

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    London, United Kingdom

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    New York City Metropolitan Area, United States

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    Paris, Île-de-France, France

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    Yaoundé, Cameroon

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    London, United Kingdom

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    South Croydon, England, United Kingdom

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    Nottingham, United Kingdom

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    Nottingham, United Kingdom

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    Nottingham, United Kingdom

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    Nottingham, United Kingdom

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    Birmingham, United Kingdom

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    Tokyo, Japan

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    Sheffield, United Kingdom

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    Taipei City, Taiwan

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    Kyoto, Japan

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    London, United Kingdom

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    London, United Kingdom

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    Lyon, France

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    Utrecht, Netherlands

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    Delft, Netherlands

Education

  • Utrecht University Graphic

    Utrecht University

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    Activities and Societies: Member of departmental PhD-student council (FOP NS) 2000-2002 Representative of department of Physics in PhD union of Utrecht University (BAU) 2000-2002 Secretary of PhD union of Utrecht University (BAU) 2000-2002 Website administrator of PhD union of Utrecht University (BAU) 2001-2002

    PhD at the Helmholtz Research School for brain science

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    MSc in control systems engineering at the department of electrical engineering.

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    The European Schools cover both primary and secondary school education. Within the European School in Bergen North Holland I attended the German section with English as 1st foreign language, French as 2nd foreign language and Dutch as 3rd foreign language.

Licenses & Certifications

Volunteer Experience

  • We and AI Graphic

    Advosory Board

    We and AI

    - Present 4 years 5 months

    Science and Technology

    We and AI is a Non-Governmental Organisation (NGO). It is set up and staffed by volunteers. We seek and welcome participation from people of all ages and backgrounds.

    Our primary mission is to increase public awareness and understanding of AI in the UK. This is vital in order to empower people to make their voices heard about how AI should be used and controlled, and encourage more people from all backgrounds to get involved with or work in AI.

    Public engagement, feedback and…

    We and AI is a Non-Governmental Organisation (NGO). It is set up and staffed by volunteers. We seek and welcome participation from people of all ages and backgrounds.

    Our primary mission is to increase public awareness and understanding of AI in the UK. This is vital in order to empower people to make their voices heard about how AI should be used and controlled, and encourage more people from all backgrounds to get involved with or work in AI.

    Public engagement, feedback and activism are needed to accelerate and better inform the process of making AI fair for everyone.

    However little you know about technology, you can get involved to help us make AI more visible, transparent, accessible and fair.

    https://weandai.org/

  • Committee Member

    IEEE UK/Ireland STEM

    - 1 year 9 months

    Education

    To become the independent home of STEM outreach material within the UK and ROI, in order to partner and work with external bodies and organisations to reach all sections of society.
    https://www.ieee-ukandireland.org/category/news/stem/

Publications

  • Trust, Context and Regulation: Achieving more explainable AI in financial services

    UK Finance

    This paper examines the issues surrounding the ‘explainability’ of artificial intelligence in financial services. It reviews key parts of the regulatory environment and potential next steps in AI regulation.

    The paper considers potential approaches to navigating the evolving regulatory expectations in practice, looking at recent guidance and potential governance measures firms could apply in response. The paper also summarises some of the technical challenges that firms face in designing…

    This paper examines the issues surrounding the ‘explainability’ of artificial intelligence in financial services. It reviews key parts of the regulatory environment and potential next steps in AI regulation.

    The paper considers potential approaches to navigating the evolving regulatory expectations in practice, looking at recent guidance and potential governance measures firms could apply in response. The paper also summarises some of the technical challenges that firms face in designing and implementing explainable AI, along with methods that can be used to address these.

    The paper includes general discussion and also hypothetical case studies to give a more practical perspective

    Other authors
    See publication
  • Young people’s policy recommendations on algorithm fairness

    Journal of WebScience, ACM

    This paper explores the policy recommendations made by young people regarding algorithm fairness. It describes a piece of ongoing research developed to bring children and young people to the front line of the debate regarding children’s digital rights. There is a clear need for new interventions to prepare children for digital life and digital citizenship. This paper brings a timely solution: the UnBias Youth Juries, an engaging methodology designed to facilitate learning through…

    This paper explores the policy recommendations made by young people regarding algorithm fairness. It describes a piece of ongoing research developed to bring children and young people to the front line of the debate regarding children’s digital rights. There is a clear need for new interventions to prepare children for digital life and digital citizenship. This paper brings a timely solution: the UnBias Youth Juries, an engaging methodology designed to facilitate learning through discussions. The juries capture the deliberation process on a specific digital right, the right to know how algorithms govern and influence the Web and its users. Preliminary results show that young people demand to know more about algorithms, they want more transparency, more options, and more control about the way algorithms use their personal data.

    Other authors
    See publication
  • Algorithmic Bias: Addressing Growing Concerns“, IEEE Technology and Society Magazine

    IEEE Technology and Society Magazine

    In the context of the IEEE Global Initiative for Ethical Considerations in Artificial Intelligence and Autonomous Systems, and with support from its executive director, the author have proposed the development of a new IEEE Standard on Algorithmic Bias Considerations. The aim is for this to become part of a set of ethical design standards, such as the IEEE P7001™ Standards Project called Transparency of Autonomous Systems with a Working Group. Whereas the Transparency of Autonomous Systems…

    In the context of the IEEE Global Initiative for Ethical Considerations in Artificial Intelligence and Autonomous Systems, and with support from its executive director, the author have proposed the development of a new IEEE Standard on Algorithmic Bias Considerations. The aim is for this to become part of a set of ethical design standards, such as the IEEE P7001™ Standards Project called Transparency of Autonomous Systems with a Working Group. Whereas the Transparency of Autonomous Systems Standard will be focused on the important issue of “breaking open the black box” for users and/or regulators, the Algorithmic Bias Standard is focused on “surfacing” and evaluating societal implications of the outcomes of algorithmic systems, with the aim of countering non-operationally-justified results.

    See publication
  • Editorial responsibilities arising from personalization algorithms

    Orbit

    In the online (social) media market the limited capacity of human attention is perceived as the primary resource bottleneck. In response to this, news feeds, search engines and content recommendation systems use increasingly sophisticated and personalized algorithms to cut through the mountains of available information in the hope of providing content that is sufficiently relevant to keep the users on the platform. Superficially, there seems nothing wrong with prioritizing information that…

    In the online (social) media market the limited capacity of human attention is perceived as the primary resource bottleneck. In response to this, news feeds, search engines and content recommendation systems use increasingly sophisticated and personalized algorithms to cut through the mountains of available information in the hope of providing content that is sufficiently relevant to keep the users on the platform. Superficially, there seems nothing wrong with prioritizing information that users will likely agree with; after all, people tend to self-select information that aligns with their own beliefs anyway (Lawrence, Sides, & Farrell, 2010). However, the implementation, and sometimes the very existence, of these personalization algorithms is often hidden from users with potentially negative consequences for their personal agency over their internet experience. Rather than ask users to explicitly define their interest to the algorithms, the algorithms usually identify personalized interest patterns based on assumptions about user behaviour, such as an assumption that browsing behaviour is usually rationally efficient (time spent on a website is assumed to correlate with level of interest) and that people’s interests remain unchanged for prolonged periods of time. Furthermore, personalization algorithms risk amplifying a polarized news climate and potentially limit exposure to attitude-challenging information (Bakshy, Messing, & Adamic, 2015; Bennett & Iyengar, 2008). It has been argued that the ‘filter bubble’ (Adee, 2016) effect could promote intellectual isolation by narrowing our worldview and systematically presenting information we agree with while making information with a different perspective less visible. With internet users aged 16 to 64 in 2014 spending an average of 1.72 hours per day on social network sites (Mander, 2015), these platforms and the private companies that run them have become vital components of the digital public sphere.

    Other authors
    See publication
  • Internet On Our Own Terms: How Children and Young People Deliberated About Their Digital Rights

    This report provides a rare glimpse into the attitudes of a group of young people under 18, invited to interrogate their relationship with the internet and digital technologies. It is the culmination of an unusual research project, using actors and fictitious scenarios to promote debate, and the use of iterative juries to find consensus. It was a process designed to put the unmediated voices of children at the heart of the internet debate. By Baroness Beeban Kidron, Founder 5Rights.

    Other authors
    See publication
  • Ethics considerations for Corpus Linguistics studies using internet resources

    Corpus Linguistics 2015

    In this paper we will discuss some of the ethical concerns around the use of online communications data. We will start by looking at the current guidelines by the British Association for Applied Linguistics (BAAL). Next we will discuss some of the core difficulties related to identifying ‘publicness’ of Internet-based information. This will lead to a discussion about ethical responsibilities when dealing with ‘public’ online communications, and how this issue is being addressed in current…

    In this paper we will discuss some of the ethical concerns around the use of online communications data. We will start by looking at the current guidelines by the British Association for Applied Linguistics (BAAL). Next we will discuss some of the core difficulties related to identifying ‘publicness’ of Internet-based information. This will lead to a discussion about ethical responsibilities when dealing with ‘public’ online communications, and how this issue is being addressed in current corpus linguistics research.

    Other authors
    See publication
  • Investigating conditions for consent to analyse social media data

    2nd European Conference on Social Media (ECSM) 2015

    The rapid growth in online social media and the associated internet mediated research have generated a range of new challenges and concerns related to research ethics. A key issue around the development of protocols for ethical approaches to social
    media analysis is the question if explicit informed consent should be required when conducting research based on messages that were posted on social media. One of the main arguments against such…

    The rapid growth in online social media and the associated internet mediated research have generated a range of new challenges and concerns related to research ethics. A key issue around the development of protocols for ethical approaches to social
    media analysis is the question if explicit informed consent should be required when conducting research based on messages that were posted on social media. One of the main arguments against such a requirement is the assumption that obtaining explicit informed consent would be infeasible or at the very least would heavily skew the resulting data in favour of views that follow perceived ‘socially acceptable norms’. In this study we propose a citizen centric approach to the question of identifying which types of social media research should require explicit informed consent from the social media users. We are preparing to run a survey to ask a broad range of citizens for which kinds of research, and under which conditions, they would consent to having their social media data analysed for research purposes. In order to understand if, and how, the process of obtaining consent is likely to bias the population sampling of social media studies the questionnaire responses regarding conditions for consent will be correlated with demographics information regarding the politico-socio-geographic-economic background of the respondents. In hopes of obtaining maximally representative sampling across the UK population the survey will be promoted through news items in the popular press.

    Other authors
    See publication
  • Ethics of personalized information filtering

    2nd International Conference on Internet Science

    Online search engines, social media, news sites and retailers are all investing heavily in the development of ever more refined information filtering to optimally tune their services to the specific demands of their individual users and customers. In this position paper we examine the privacy consequences of user profile models that are used to achieve this information personalization, the lack of transparency concerning the filtering choices and the ways in which
    personalized services…

    Online search engines, social media, news sites and retailers are all investing heavily in the development of ever more refined information filtering to optimally tune their services to the specific demands of their individual users and customers. In this position paper we examine the privacy consequences of user profile models that are used to achieve this information personalization, the lack of transparency concerning the filtering choices and the ways in which
    personalized services impact the user experience. Based on these considerations we argue that the Internet research community has a responsibility to increase its efforts to investigate the means and consequences of personalized information filtering.

    Other authors
    See publication
  • Research Ethics and Public Trust, Preconditions for Continued Growth of Internet Mediated Research

    1st Internationa Conference on Information Systems Security and Privacy (ICISSP)

    In this paper we argue for the position that responsible safeguards for privacy and ethical treatment of human data are of vital importance to retain the public confidence and trust that is necessary for the development and future success of internet mediated research (IMR). We support our position based on the high level of popular and media attention that is currently directed at IMR, which in combination with the relative uncertainties that still exist around the ethics of various IMR…

    In this paper we argue for the position that responsible safeguards for privacy and ethical treatment of human data are of vital importance to retain the public confidence and trust that is necessary for the development and future success of internet mediated research (IMR). We support our position based on the high level of popular and media attention that is currently directed at IMR, which in combination with the relative uncertainties that still exist around the ethics of various IMR methods, aises the risk that IMR might succumb to a public backlash of similar proportions to the controversy that hit genetically modified (GM) crops in Europe. Based on the lessons that came out of the GM crops controversy we discuss the ethics requirements and challenges that must be met in order to retain the public trust in IMR. We end our argument by briefly reviewing a couple of examples of “privacy protecting architectures” that are being developed for IMR.

    Other authors
    See publication
  • Relative importance of spatial and temporal precision for user satisfaction in human-robot object handover interactions

    Proceedings of the 50th Anniversary Convention of the AISB, Third International Symposium on New Frontiers in Human-Robot Interaction, London, April 3-4, 2014

  • Relative informationcontent of gestural features of non-verbal communication related toobject-transfer interactions

    Tilburg Gestures Research Meeting (TiGeR) 2013, Tilburg, Netherlands, June 19-21, 2013

    Other authors
    See publication
  • Dynamic Movement Primitives for Human Robot interaction: comparison with Human behavioral observation

    Proceedings of International Conference on Intelligent Robots and Systems (IROS) 1168-1175, 2013.

    Other authors
  • Distal place recognition based navigation control inspired by Hippocampus – Amygdala interaction

    9th International Conference on Epigenetic Robotics: Modeling Cognitive Development in Robotic Systems, Venice, Italy, Nov. 12-14. 2009

  • Navigation via Pavlovian Conditioning: A Robotic Bio-Constrained Model of Autoshaping in Rats

    9th International Conference on Epigenetic Robotics: Modeling cognitive Development in Robotic Systems, Venice, Italy, Nov. 12-14. 2009.

  • Hippocampus, Amygdala and Basal Ganglia based navigation control

    Aritificial Neural Networks – ICANN 2009, Lecture Notes in Computer Science, 5768, 267-276. 2009

    Other authors
    See publication
  • Biologically based top-down attention modulation for humanoid interactions

    International Journal of Humanoid Robotics, 5(1): 3-24. 2008

  • Gaze shift reflex in a humanoid active vision system

    Proceedings of the 5th International Conference on Computer Vision Systems (ICVS 2007), Applied Computer Science Group, Bielefeld University, Germany, 2007

  • Real-time acoustic source localization in noisy environments for human-robot multimodal interaction

    The 16th IEEE International Symposium on Robots and Human interactive Communication (Ro-Man), Jeju Island, Korea, 393-398. 2007

  • Visual search for a target changing in synchrony with an auditory signal

    Proceedings of The Royal Society of London. Series B, Biological Sciences, Apr 7; 273(1588):865-74. 2006

    Other authors
    See publication
  • Accounting for saccade dysmetria after cerebellar lesion

    Annals of the New York Academy of Sciences, 1004: 389-393, 2003

    Other authors
    See publication
  • Data-driven initialization and structure learning in fuzzy neural networks

    Proceedings Fuzz-IEEE’98, Anchorage, Alaska, 1147-1152, May 1998

    Other authors
    See publication

Projects

  • Global experts on debunking of misinformation

    - Present

    Network of researchers from multiple disciplines that was established by Professor Stephan Lewandowsky of Bristol University to provide expert insights about misinformation.

    The word “post-truth” was Oxford Dictionary’s word of the year for 2016. Concern with “fake news” is increasing all over the world, and media concern with the spread of misinformation, and how to debunk it, has been increasing dramatically over the past few years.
    This portal provides contact details of a global…

    Network of researchers from multiple disciplines that was established by Professor Stephan Lewandowsky of Bristol University to provide expert insights about misinformation.

    The word “post-truth” was Oxford Dictionary’s word of the year for 2016. Concern with “fake news” is increasing all over the world, and media concern with the spread of misinformation, and how to debunk it, has been increasing dramatically over the past few years.
    This portal provides contact details of a global network of researchers from across multiple disciplines who are experts on misinformation, including
    Social media and internet
    Debunking of misinformation
    Conspiracy theories and lack of trust
    Science communication and science denial

    The experts welcome inquiries from media, government, or NGOs.

    See project
  • IEEE Standard for Algorithm Bias Considerations (P7003)

    - Present

    The P7003 standard is designed to provide individuals or organizations creating algorithms, largely in regards to autonomous or intelligent systems, certification oriented methodologies to provide clearly articulated accountability and clarity around how algorithms are targeting, assessing and influencing the users and stakeholders of said algorithm. Certification under this standard will allow algorithm creators to communicate to users, and regulatory authorities, that up-to-date best…

    The P7003 standard is designed to provide individuals or organizations creating algorithms, largely in regards to autonomous or intelligent systems, certification oriented methodologies to provide clearly articulated accountability and clarity around how algorithms are targeting, assessing and influencing the users and stakeholders of said algorithm. Certification under this standard will allow algorithm creators to communicate to users, and regulatory authorities, that up-to-date best practices were used in the design, testing and evaluation of the algorithm to avoid unjustified differential impact on users.This standard describes specific methodologies to help users certify how they worked to address and eliminate issues of negative bias in the creation of their algorithms, where "negative bias" infers the usage of overly subjective or uniformed data sets or information known to be inconsistent with legislation concerning certain protected characteristics (such as race, gender, sexuality, etc); or with instances of bias against groups not necessarily protected explicitly by legislation, but otherwise diminishing stakeholder or user well being and for which there are good reasons to be considered inappropriate. Possible elements include (but are not limited to): benchmarking procedures and criteria for the selection of validation data sets for bias quality control; guidelines on establishing and communicating the application boundaries for which the algorithm has been designed and validated to guard against unintended consequences arising from out-of-bound application of algorithms; suggestions for user expectation management to mitigate bias due to incorrect interpretation of systems outputs by users (e.g. correlation vs. causation)

    Other creators
    • Paula Boddington
    See project
  • Internet Society (ISOC UK) - User Trust thematic activities

    - Present

    http://casma.wp.horizon.ac.uk/casma-projects/isocusertrust/

    Other creators
    See project
  • UnBias: Emancipating Users Against Algorithmic Biases for a Trusted Digital Economy

    - Present

    UnBias is a 2year EPSRC (UK Research Council) research project (EP/N02785X/1) funded under the Trust, Identity, Privacy and Security (TIPS) call.

    Young people care about their personal data and want a digital world more transparent, a digital world they can trust. In order to cope with the vast amounts of information online, services are increasingly turning to recommendation and filtering algorithms to provide users with the information that the service provider estimates is more…

    UnBias is a 2year EPSRC (UK Research Council) research project (EP/N02785X/1) funded under the Trust, Identity, Privacy and Security (TIPS) call.

    Young people care about their personal data and want a digital world more transparent, a digital world they can trust. In order to cope with the vast amounts of information online, services are increasingly turning to recommendation and filtering algorithms to provide users with the information that the service provider estimates is more relevant for the user. All the mechanisms that support this filtering of information and products is obscure and internet users would like to know more about it, such as possible bias in their behaviour and, more importantly, have some control over these recommender systems.

    This project aims to closely work with young people to further understand how aware ‘digital natives’ are about algorithm bias, their attitudes and main concerns and recommendations when interacting with such systems. We will apply different engagement tools and methodologies to facilitate discussion, reflection and a deeper understanding of youth online behaviour and youth-lead software solutions.

    This project will provide citizens with the skills and tools to better judge when and how much to trust the information they are given, understand the digital identity that algorithms create from user’s personal data as well as protecting the users’ privacy and online security.

    This project will provide policy recommendations, ethical guidelines and a ‘fairness toolkit’ co-produced with young people and other stakeholders that will include educational materials and resources co-designed to support youth understanding about online environments as well as raise awareness among online providers about the concerns and rights of young internet users. This project is relevant for young people as well as society as a whole to ensure trust and transparency are not missing from the internet.

    Other creators
    See project
  • Civic engagement in the digital age

    As part of our citizen-centered approach to social media analysis we are interested in understanding and improving the role of social media, and related digital technologies, in the civic-engagement of citizens. Our work on this dimension of the CaSMa theme is done in collaboration with Gada, a non-profit start-up that is building social media for social change. Gada was founded and directed by Mattia Fosci and is hosted at the University of Nottingham’s Ingenuity Lab. The collaboration with…

    As part of our citizen-centered approach to social media analysis we are interested in understanding and improving the role of social media, and related digital technologies, in the civic-engagement of citizens. Our work on this dimension of the CaSMa theme is done in collaboration with Gada, a non-profit start-up that is building social media for social change. Gada was founded and directed by Mattia Fosci and is hosted at the University of Nottingham’s Ingenuity Lab. The collaboration with Gada is a vital component since Mattia and his team provide insights into the practical concerns and issues of activists working to increase civic engagement. Insight that would be very difficult to gain from purely academic research.

    Social media, and the internet in general, are widely considered a promising tool for democratic participation. Yet despite relative frequent occurrence of political communication on social media this only rarely seem to translate into meaningful and effective civic engagement. Bottom-up civic engagement appears to be hampered by new variants of the collective action problem, while top-down civic engagement (i.e. initiated and mediated by government bodies and civil society organisations) is out-of-sync with the distributed and horizontal nature of social media.

    Together with Gada we are especially interested in considering these issues with respects to young people, a demographic that has both very high use of social media and low levels of civic engagement.

    Within this project we will run workshops with young people, NGOs and government representatives to discuss perceptions, concerns, barriers for engagement, as well as personal and professional reflections on the role of digital tools in civic engagement.

    Other creators
    See project
  • POET: Public Outreach Evaluataion Tool

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    Public engagement is a key requirement of funding councils and supported by research-intensive universities as a means to inform the ‘public’ about cutting edge publicly-funded research. The European Commission has identified public engagement as one of the 6 keys of Responsible Research and Innovation (RRI).

    As part of this ‘impact agenda‘, universities, research labs, teams and projects are exploring the use of blogs, social media pages and a twitter presence in order to communicate…

    Public engagement is a key requirement of funding councils and supported by research-intensive universities as a means to inform the ‘public’ about cutting edge publicly-funded research. The European Commission has identified public engagement as one of the 6 keys of Responsible Research and Innovation (RRI).

    As part of this ‘impact agenda‘, universities, research labs, teams and projects are exploring the use of blogs, social media pages and a twitter presence in order to communicate the work that is being done and in order to establish a pathway to broadening societal involvement in research. Often however it is not clear who the ‘public’ in these public engagement initiatives is or how they respond to messages through these mediums.

    Aims and Objectives of the POET project:
    This pilot project aims to test the feasibility of using social network analysis tools that are being developed at Horizon Digital Economy Research, in conjunction with qualitative text analysis to ascertain the effectiveness of social media based science-public engagement efforts in reaching various ‘publics’.

    Methods:

    Semi-structured interviews, and qualitative analysis, of the way in which STEM researchers at the University of Nottingham currently use social media, especially Twitter.

    Network analytics of Twitter usage as function of department and role at the University of Nottingham.

    Co-design workshops with social media using academics from the University of Nottingham to establish the requirements they would like for a ‘public outreach evaluation tool’.

    This project is part funded by a grant from the University of Nottingham Science Technology and Society Priority Group.

    Other creators
    See project
  • Citizen Centric Approaches to Social Media Analysis (CaSMa)

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    The CaSMa project is working to address the ethical challenges around social media research by designing tools and services to enable users to gain more control of their personal data.

    The CaSMa project is looking at solutions that put people at the centre of human data by introducing a novel citizen-centred approach to social media analysis. Starting with the acknowledgement that the data relates to human beings with a right to privacy and dignity, CaSMa aims to promote ways for…

    The CaSMa project is working to address the ethical challenges around social media research by designing tools and services to enable users to gain more control of their personal data.

    The CaSMa project is looking at solutions that put people at the centre of human data by introducing a novel citizen-centred approach to social media analysis. Starting with the acknowledgement that the data relates to human beings with a right to privacy and dignity, CaSMa aims to promote ways for individuals to control their data and their desired level of privacy, including mechanisms that make it realistically possible to implement a withdrawal of consent. Indeed, one of the core CaSMa objectives is to ensure that social media users are aware of how their personal data can be used to understand human behaviour and the ethics of handling human data obtained from social media.

    Other creators
    See project
  • Computational Social Science

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    The rapid growth of internet services like social-networks, MMOs, Wikis, web-analytics and the growing ubiquity of smart-phones and other ‘smart’ technologies is dramatically changing the availability of large-scale, digitized information on social phenomena. The capacity to manage and analyze this information is increasingly important to multiple social domains and institutions in society. By combining the data collection, management and analysis techniques from the computational sciences with…

    The rapid growth of internet services like social-networks, MMOs, Wikis, web-analytics and the growing ubiquity of smart-phones and other ‘smart’ technologies is dramatically changing the availability of large-scale, digitized information on social phenomena. The capacity to manage and analyze this information is increasingly important to multiple social domains and institutions in society. By combining the data collection, management and analysis techniques from the computational sciences with the theories and understandings from the social sciences Computational Social Science is developing new computational models of social interaction with potentially far reaching consequences for future policy making.

    Other creators
    See project
  • CogLaboration: Human-Robot object handover interaction

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    The CogLaboration project (http://coglaboration.eu/) was launched in 2011, as part of the EU FT7-ICT agenda for the development of service robotics and focuses on the fluent handover of objects between a robot and a human, which is considered to be a key requirement for providing successful and efficient robotic assistance to humans. The project addresses this challenge by integrating the study of human-human object handover interactions into the robot development process.

    Other creators
    See project
  • Behavior Informatics project

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    Behavior Informatics is the use of informatics methods applied to behavioral data and models to facilitate multi-scale , cross-disciplinary integration of knowledge about behavior.
    In the Behavior Informatics project we aim to provide tools for open data, model and methods sharing in any behavior related research. As a first step we are currently developing a Behavior Informatics Wiki site at http://behaviorinformatics.bham.ac.uk/

    See project

Honors & Awards

  • MKAI’s 2020 list of Advocates and Influencers in Ethical AI

    MKAI

    We choose our list of 15 Ethical AI leaders following consultation with members of the MKAI community and for their prominence of this platform. Our congratulations to the individuals on this list.

    The mission of MKAI is to progress, promote and connect AI work and put Milton Keynes on the global map for Artificial Intelligence innovation and excellence.
    https://www.linkedin.com/pulse/advocates-influencers-ethical-ai-richard-foster-fletcher-/

  • Short listed for Knowledge Exchange and Impact Awards in categories “Expert commentator of the year” and “Policy impact”

    University of Nottingham

    The Knowledge Exchange and Impact Awards celebrate the contribution of our University’s research to society and the economy.

    Over 80 entries were received in nine award categories this year. The shortlist has been selected by judging panels across the University.

    The winners will be announced at a ceremony at the East Midlands Conference Centre on Thursday 22 November.
    https://exchange.nottingham.ac.uk/blog/shortlist-announced-for-the-knowledge-exchange-and-impact-awards/

  • RCUK Telling Tales of Engagement Award

    EPSRC - RCUK

    Telling Tales of Engagement Competition 2017
    The UK Research and Innovation Digital Economy (DE) Theme is running a competition designed to help capture and promote the impact that your Research Council funded digital economy research is having. Three prizes of £10,000 are available to support researchers to further tell the story of research impact in an interesting and engaging way to a wider audience.

    This year, the Telling Tales of Engagement (TTE) 2017 competition has two aims…

    Telling Tales of Engagement Competition 2017
    The UK Research and Innovation Digital Economy (DE) Theme is running a competition designed to help capture and promote the impact that your Research Council funded digital economy research is having. Three prizes of £10,000 are available to support researchers to further tell the story of research impact in an interesting and engaging way to a wider audience.

    This year, the Telling Tales of Engagement (TTE) 2017 competition has two aims. We want you to:
    tell stories that describe how your pathway to impact genuinely unfolded, to help the wider research community and public understand how impact really occurs and what benefits have been (or are expected to be) delivered from your Research Council funded research.
    explain how you will use the prize, to engage the public with your research; to show how the benefits of your research help make a contribution to various challenges and to help address UK Research and Innovation's equality, diversity and inclusion agenda.

    To apply, please complete the online form on this page, addressing the questions in the Call Scope, by 12:00 noon on Wednesday 06 December 2017.
    https://epsrc.ukri.org/funding/calls/ttoe2017/

  • Digital Leaders – East Midlands Local Champion 2017

    Digital Leaders

    http://digileaders.com/ansgar-koene-east-midlands-local-champion-2017/

  • 4th Winchester TRILCon 2017 conference best poster award

    TRILCon'17

    Best poster ward for conterence poster at the 4th Winchester TRILCon conference
    http://www.winchester.ac.uk/academicdepartments/Law/Centre%20for%20Information%20Rights/Pages/-TRILCon17.aspx

  • Principle Investigator

    University of Nottingham, Governance and Public Policy Research Priority Area

    £5k seed-funding for the development of cross-disciplinary research projects with potential for future external funding awarded for the "Understanding online civic engagement by young people and NGOs" project in collaboration with Gada (http://gada.org.uk).

  • Co-Investigator

    Engineering and Physical Sciences Research Council (EPSRC), UK

    UnBias is a 2year £1.4m EPSRC research project (EP/N02785X/1) funded under the Trust, Identity, Privacy and Security (TIPS) call.

  • Principle Investigator

    University of Nottingham, Science Technology & Society Reseearch Priorty Area

    £5k seed-funding to develop a cross-disciplinary research project with potential for future external funding awarded for the POET (Public Outreach Evaluation Tool) project.

Languages

  • English

    Native or bilingual proficiency

  • German

    Native or bilingual proficiency

  • Dutch

    Full professional proficiency

  • French

    Professional working proficiency

  • Japanese

    Elementary proficiency

Organizations

  • Association of Internet Researchers (AoIR)

    Member

    - Present

    The Association of Internet Researchers is an academic association dedicated to the advancement of the cross-disciplinary field of Internet studies. It is a member-based support network promoting critical and scholarly Internet research independent from traditional disciplines and existing across academic borders. The association is international in scope.

  • EU Cognition III network

    -

    - Present
  • Society for the Study of Artificial Intelligence and Simulation of Behaviour

    -

    -
  • IEEE

    -

    -

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