Dear AoIR community, Registration is open for the Value-driven Next Generation Internet: A future Internet in support of people’s lives and global sustainability, a pre-conference to AoIR2020 Annual Conference<https://members.aoir.org/AoIR2020_Participate>. To register, please click: https://docs.google.com/forms/d/e/1FAIpQLSexPvyu651FstdQktH3oOJ6mGGNLU7tkCie... We are very much looking forward to having your expert opinion on how to inform further policy work that ensures a future human-centric internet! The workshop is organized by DATALAB, Aarhus University, and co-organisers Steve Jones, Katrin Tiidenberg, Nancy Baym, Andra Siibak, and Michael Zimmer. About the Workshop: The aim of the workshop is to bring new insights into how to support a more human-centric evolution of the internet. As non-human-centric internet technologies and data-driven business models increasingly shape life on the planet, the story of the internet today has evolved into a story of loss of control. Early optimism about the Internet's potential for broader civic engagement and a healthier democracy (Abbate, 2000; Berners-Lee et al., 1999; Gillies & Cailliau, 2000; Rheingold, 2000)<https://www.zotero.org/google-docs/?hGygJ1> has been replaced by cynicism and declining trust brought on by an increasing centralization of power over the internet. Themes: In the process of shaping an alternative internet model to compete with the dominant narratives, high-level internet research in progressive internet technologies and policies will play a crucial role, answering questions such as: Which values, regulatory approaches, business models and technologies are going to be at the core of the future internet? In which contexts do these aspects of the internet currently develop? What are the possible future trajectories of the core internet technologies and associated stakeholders? Which values should these technologies uphold to ensure a progressive and human-centric development and widespread introduction? These are some of the questions driving this half-day pre-conference workshop on a more human-centric future internet. This is a continuation of a successful pre-conference workshop at AoIR2019 with the aim of feeding AoIR-insights into the European Commission’s ambitious Next Generation Internet initiative (https://ec.europa.eu/digital-single-market/en/next-generation-internet-initi...) When: Monday 26 October, 14.00-17.00 UTC * Confirm YOUR time zone with UTC here: https://www.timeanddate.com/worldclock/timezone/utc Where: https://aarhusuniversity.zoom.us/j/69591371138 Conference registration: https://docs.google.com/forms/d/e/1FAIpQLSexPvyu651FstdQktH3oOJ6mGGNLU7tkCie... REMEMBER TO SIGN UP FOR THE CONFERENCE BEFOREHAND SO WE CAN OPTIMIZE THE PROGRAM ACCORDING TO NUMBER OF PARTICIPANTS. Mode: Lightning talks and live discussion. The session will be recorded and the insights will be translated into a report for the European Commission, keeping full anonymity of the participants. If you have any questions about the workshop, please contact the organizing team representatives Mathias Holm Sørensen (matho@cc.au.dk<mailto:matho@cc.au.dk>) or Marina Charquero Ballester (marinacharquero@cc.au.dk<mailto:marinacharquero@cc.au.dk>) Sincerely, On behalf of the Organizing team, Anja Bechmann Professor & Director of DATALAB Mobile: (+45) 51335138 Email: anjabechmann@cc.au.dk Web: www.datalab.au.dk DATALAB, Center for Digital Social Research Aarhus University Helsingforsgade 14, ICT-City 8200 Aarhus N Denmark New publications: Bechmann, A. 2020. Tackling Disinformation and Infodemics Demands Media Policy Changes<https://www.tandfonline.com/eprint/3AFQGNYRV8AFUE5ZMHUT/full?target=10.1080/21670811.2020.1773887>, Digital journalism, 1-13. Henriksen, A & Bechmann, A. 2020. Building truths in AI: Making predictive algorithms doable in healthcare<https://www.tandfonline.com/doi/full/10.1080/1369118X.2020.1751866>, Information, Communication & Society, 1-15 Bechmann, A. & Zevenbergen, B. 2020. AI and Machine Learning: Ethical Guidelines<https://aoir.org/reports/ethics3.pdf> IRE 3.0, Association of Internet Researchers. Bechmann, A. & Kim, J.Y. 2020. Big Data: A Focus on Social Media Research Dilemmas<https://link.springer.com/referenceworkentry/10.1007%2F978-3-319-76040-7_18-1>, Handbook of Research Ethics and Scientific Integrity, 427-444 Bechmann, A. 2019. Inequality in posting behavior over time: a study of Danish Facebook users<https://doi.org/10.2478/nor-2019-0012>, Nordicom Review, 40(1). Bechmann, A. & Bowker, G.C. 2019. Unsupervised by any other name: Hidden layers of knowledge production in artificial intelligence on social media<https://doi.org/10.1177/2053951718819569>, Big Data & Society, 6(1). Bechmann, A. & Nielbo, K. 2018. Are We Exposed to the Same “News” in the News Feed? An empirical analysis of filter bubbles as information similarity for Danish Facebook users<https://doi.org/10.1080/21670811.2018.1510741>, Digital Journalism, 6(8). Bechmann, A. 2017. Keeping it real: From faces and features to social values in deep learning algorithms on social media images<https://scholarspace.manoa.hawaii.edu/handle/10125/41372> HiCSS, 50.