FB 6 Mathematik/Informatik/Physik

Institut für Mathematik

Navigation und Suche der Universität Osnabrück

International visitors

Untermenü zum ThemaForschung

Standortanzeiger

Sie sind hier:  > Forschung > AG Stochastik > Döring, Hanna

Hauptinhalt

Topinformationen

Study Project: Data Ethics Outreach Lab

8.3103

Dozenten

Beschreibung

In this Study project for CogSci Master Students we critically explore the risks and societal implications of networked digital services to develop strategies and formats for public awareness raising. Investigating various phenomena ranging from addictive interface design of social media, and targeted advertising to AI Beauty Filters, in our previous work we have organized school lessons at high schools, facilitated workshops for various audiences, designed games and websites and curated an event at Kunsthalle Osnabrück.

Starting this summer term, our study project will pursue a new focus area. Introducing "Predicted Futures?" as our new topic, we will investigate how big-data-driven technologies are shaping – and perhaps predetermining – the future.

The following questions will guide us on this investigation: How are big-data-driven technologies applied to predict our behaviour, interests, emotions, desires or health? In which way do they actually path the way into a predetermined future, creating a self-fulfilling prophecy? What are the politics behind the urge and the application of predictive analytics that make it seem as an acceptable way of solving the polycrises of today? And how are common narratives of tech-determinism and tech-solutionism prefiguring our understanding of possible futures? What could alternative, inclusive and sustainable futures look like? And what role would AI play in it?

We are excited to embark on this journey in collaboration with Theater Osnabrück, Kunsthalle Osnabrück, Museum für Industriekultur and various regional schools. As a cornerstone of the project, we aim to encourage an intergenerational dialogue on desirable tech-futures. Based on the theater play "(R)Evolution" we will work with high-school students and engage them into a conversation about the realities of AI and their visions for the future.

Participation opportunities
We are inviting both Study project (2 Semesters, 12 ECTS each), as well as Interdisciplinary course (1 Semester, 6 ECTS) participants to join us. Interdisciplinary participants will work on a project of smaller scope. There will be two focus areas:

A) Workshop Track (7–8 students in total)
In groups of 2–3 students you are conceptualizing, developing and testing a workshop for high school students on the basis of the theater play. You will document your findings during the workshop and create an Open Educational Resource (OER) for further circulation. Depending on availabilities your group might also organize workshops at the Museum of Industriekultur, which is hosting an exhibition on AI this summer.
German fluency necessary!

B) Research Track (3–4 students in total)
You accompany the workshops and, on the basis of participatory observation, record the results of the vision-finding processes. Based on these findings, you are preparing an academic paper. Possible areas of focus:
A) Investigate younger generations' perspectives on the challenges of technological and socio-ecological change and how they can be made more visible and audible in the public discourse in a constructive way.
B) Reflect the methodology of the visioning work with students and formulate qualitative findings on the intergenerational dialog on AI futures.
German fluency is an advantage.

Participation requirements
- Prior knowledge in the field of data ethics. Ideally, completion of the lecture "Intro to Ethics of AI" or similar lectures/seminars. (See the preregistration form for more info).
- On site participation, Tuesdays 2–5 pm
- Due to the close collaboration with local cultural institutions this semester, sufficient German skills (~B2) are necessary. However, we would make an exception for up to 3 students who would work on a research-focused project.

If you are interested in joining us, please fill out this form until March 26th, noon: https://cloud.ethikderki.de/index.php/apps/forms/s/nzC7G45M9d58qbQYJTib6qHj

A second round of preregistration might be opened later, depending on availabilities.

We are looking forward to your responses and an insightful next semester!

Weitere Angaben

Ort: 50/E07
Zeiten: Di. 14:00 - 17:00 (wöchentlich)
Erster Termin: Dienstag, 02.04.2024 14:00 - 17:00, Ort: 50/E07
Veranstaltungsart: Studienprojekt (Offizielle Lehrveranstaltungen)

Studienbereiche

  • Cognitive Science > Master-Programm
  • Human Sciences (e.g. Cognitive Science, Psychology)

Past and Forthcoming Events

Publications

  • Asymptotics of a time-bounded cylinder model, with N. Aschenbruck and S. Bussmann, Probability in the Engineering and Informational Sciences, https://doi.org/10.1017/S0269964822000420
  • The method of cumulants for the normal approximation, with S. Jansen and K. Schubert, Probability Surveys 2022, Vol. 19, 185-270, https://doi.org/10.1214/22-PS7
  • Sedentary Random Waypoint, with C. Betken, arXiv:2009.02941
  • The Impact of Bit Errors on Intra-Session Network Coding with Heterogeneous Packet Lengths, with B. Schütz, N. Aschenbruck, S. Bussmann and M. Juhnke-Kubitzke, Proc. of the 45th IEEE LCN Symposium on Emerging Topics in Networking LCN, virtually hosted in Sydney, Australia, Nov. 16–19, 2020.
  • Stationarity for the Small World in Motion Mobility Model, with Nils Aschenbruck, Christian Heiden und Matthias Schwamborn, MSWIM '19: Proceedings of the 22nd International ACM Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems, Nov 25-29, 2019, https://doi.org/10.1145/3345768.3355935
  • Crossing Numbers and Stress of Random Graphs, with Markus Chimani and Matthias Reitzner, In Proceedings 26th International Symposium, GD 2018, Barcelona, Spain, 255--268, 2018 available here and for an extended journal version here: https://arxiv.org/abs/1808.07558
  • Fluctuations in a general preferential attachment model via Stein's method, with Carina Betken and Marcel Ortgiese, Random Structures & algorithms, vol.55, no.4, 2019 available here
  • Connection times in large ad-hoc mobile networks, Bernoulli, vol.22, no.4, 2143--2176, 2016 available here
    with Gabriel Faraud, Wolfgang König
  • The random disc thrower problem, Proceedings of the 90th European Study Group Mathematics with Industry, 59-78, 2013  available here with T. van der Aalst, D. Denteneer, M. Hong Duong, R. J. Kang, M. Keane, J. Kool, I. Kryven, T. Meyfroyt, T. Müller, G. Regts, J. Tomczyk
  • Edge fluctuations of eigenvalues of Wigner matrices, High Dimensional Probability VI: the Banff volume, Progress in Probability, vol.66, 261-275, Springer, Basel, 2013 available here
    with Peter Eichelsbacher
  • Moderate deviations for the determinant of Wigner matrices, Dedicated to Friedrich Götze on the occasion of his sixtieth birthday, Limit Theorems in Probability, Statistics and Number Theory, Springer Proceedings in Mathematics & Statistics, vol.42, 253-275, 2013, available here
    with Peter Eichelsbacher
  • Moderate deviations for the eigenvalue counting function of Wigner matrices, ALEA, Lat. Am. J. Probab. Math. Stat. 10 (1), 27-44, 2013, available here
    with Peter Eichelsbacher
  • Moderate deviations via cumulants, Journal of Theor. Probability, 2012, available here
    with Peter Eichelsbacher
  • Moments of recurrence times for Markov chains, Electronic Comm. Probab., 16(28), 296-303, 2011, available here
    with Frank Aurzada, Marcel Ortgiese, Michael Scheutzow
  • Moderate deviations in a random graph and for the spectrum of Bernoulli random matrices, Electronic Journal of Probability, Vol. 14, Paper no. 92, 2636-2656, 2009, available here
    with Peter Eichelsbacher
  • Perpendicular transport of charged particles in slab turbulence: recovery of diffusion for realistic wave-spectra?, Journal of Physics G: Nuclear and Particle Physics, 35, 025202, 2008
    with Andreas Shalchi
  • Velocity correlation functions of charged test particles, Journal of Physics G: Nuclear and Particle Physics, 34, 859, 2007
    with Andreas Shalchi

Footer

Quicklinks

Universität

Studium und Lehre

Öffentlichkeit

Service