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2 | 2 | layout: page |
3 | 3 | title: speakers & topics |
4 | 4 | permalink: /speakers/ |
5 | | -description: The speakers & topics for 2024 are shown below. The 2025 program will become availble in spring. |
| 5 | +description: The list of speakers and topics will become available soon! |
6 | 6 | nav: true |
7 | 7 | nav_order: 4 |
8 | 8 | --- |
9 | 9 |
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10 | 10 |
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11 | | -<div class="projects"> |
12 | | - <h2>Brain Computer Interfaces</h2> |
13 | | - Brain Computer Interfaces (BCI) are techniques to connect the body with software or Neuroprosthetics, like artificial limbs. There are devices to restore senses, e.g. retinal implants for blind people, or to restore movement by analysing neural activity in the brain or at nerve endings. |
14 | | - |
15 | | - <ul> |
16 | | - <li><b>Tanja Schultz</b> (University of Bremen) is a leading expert on the topic, especially for reading out neural activity to output speech.</li> |
17 | | - <li><b>Lisa-Marie Vortmann</b> (University of Groningen) is an assistant professor, working on attention for BCIs using methods from Virtual Reality (VR).</li> |
18 | | - </ul> |
19 | | - |
20 | | - <div class="container"> |
21 | | - <div class="row row-cols-1 row-cols-md-3"> |
22 | | - {% include people.liquid name="Tanja Schultz" affiliation="University of Bremen" url="https://www.uni-bremen.de/csl/institut/direktorin" img="assets/img/speakers/2024/TanjaSchultz.jpg" photo_credit="Photo by Jens Lehmkühler" %} |
23 | | - {% include people.liquid name="Lisa-Marie Vortmann" affiliation="University of Groningen" url="https://lisamarievortmann.com" img="assets/img/speakers/2024/LisaMarieVortmann.jpg" %} |
24 | | - </div> |
25 | | - </div> |
26 | | - |
27 | | - <hr> |
28 | | - |
29 | | - <h2>Bridging Brains and ANNs</h2> |
30 | | -A longstanding goal of Cognitive Science is to build artificial neural networks (ANNs) that can not only predict labels of data (e.g. images) accurately, but also do so in a way that resembles brain activity. Conditioning ANN design on brain data may not only improve performance but also improve our models of the neural processes, e.g. animal vision or human speech. |
31 | | - <ul> |
32 | | - <li><b>Tim Kietzmann</b> (University of Osnabrück) is a professor advocating for the "neuroconnectionist" research programme, especially for modelling recurrency in vision.</li> |
33 | | - <li><b>Johannes Mehrer</b> (EPFL) also works with ANNs, studying differences in architecture and data bias, in order to align artificial and biological neural representations better.</li> |
34 | | - <li><b>Katja Seeliger</b> is a Postdoc at the Max Planck Institute for Cognitive and Brain Sciences in Leipzig. She studies vision in neural networks and using MRI studies.</li> |
35 | | - </ul> |
36 | | - |
37 | | - <div class="container"> |
38 | | - <div class="row row-cols-1 row-cols-md-3"> |
39 | | - {% include people.liquid name="Tim Kietzmann" affiliation="University of Osnabrück" url="https://kietzmannlab.org" img="assets/img/speakers/2024/TimKietzmann.jpg" %} |
40 | | - {% include people.liquid name="Johannes Mehrer" affiliation="EPFL" url="https://people.epfl.ch/johannes.mehrer?lang=en" img="assets/img/speakers/2024/JohannesMehrer.jpeg" %} |
41 | | - {% include people.liquid name="Katja Seeliger" affiliation="MPI for Human Cognitive and Brain Sciences" url="seelikat.github.io" img="assets/img/speakers/2024/KatjaSeeliger.jpg" %} |
42 | | - </div> |
43 | | - </div> |
44 | | - |
45 | | - <hr> |
46 | | - |
47 | | - <h2>Automated Scientific Discovery</h2> |
48 | | -Automated Scientific Discovery is an emerging research field, that tries to automate the search for computational models, e.g. for human behaviour, and thereby accelerate the progress of science. |
49 | | - <ul> |
50 | | - <li><b>Sebastian Musslick</b> (University of Osnabrück) invented the framework of AutoRA (Automated Research Assistant), which automatically designs experiments, collects and analyses data, to then optimise the experiment.</li> |
51 | | - <li><b>Kevin Miller</b> (University College London and DeepMind) works on finding Recurrent Neural Networks models for explaining human choices in value-based decision-making.</li> |
52 | | - <li><b>Jannis Born</b> works at IBM Research in Zurich on generative/language models for molecular design and other scientific discovery applications.</li> |
53 | | - </ul> |
54 | | - <div class="container"> |
55 | | - <div class="row row-cols-1 row-cols-md-3"> |
56 | | - {% include people.liquid name="Jannis Born" affiliation="IBM Research Europe" url="https://research.ibm.com/people/jannis-born" img="assets/img/organisers/jannisborn.jpg" %} |
57 | | - {% include people.liquid name="Kevin J. Miller" affiliation="Google DeepMind" url="https://kevinjmiller.org" img="assets/img/speakers/2024/KevinMiller.png" %} |
58 | | - {% include people.liquid name="Sebastian Musslick" affiliation="University of Osnabrück" url="https://smusslick.com" img="assets/img/speakers/2024/SebastianMusslick.jpg" %} |
59 | | - </div> |
60 | | - </div> |
61 | | - |
62 | | - <hr> |
63 | | - |
64 | | - |
65 | | - <h1>Special events</h1> |
66 | | - <h2>Science communication seminar</h2> |
67 | | -What's the value of groundbreaking research if it never leaves the walls of academia? Why spend countless hours on experiments when few will understand their significance? Many early-career researchers struggle to communicate their work to a broader audience—simply because they've never been trained to do so. <b>Katharina Stein</b>, who has been working in science communication for several years, will lead a workshop designed specifically for students and young researchers. In this session, you'll get tips on how to craft and deliver your message effectively, making your science accessible and impactful for the world beyond the lab. |
68 | | -<br> |
69 | | - <div class="container"> |
70 | | - <div class="row row-cols-1 row-cols-md-3"> |
71 | | - {% include people.liquid name="Katharina Stein" affiliation="University of Tübingen" img="assets/img/organisers/katharinastein.jpg" %} |
72 | | - </div> |
73 | | - </div> |
74 | | - |
75 | | - <h2>What's next? Careers in Cognitive Science</h2> |
76 | | -In this year's <b>panel discussion</b>, we will discuss the different career paths that are open to cognitive scientists. We are thrilled to be joined by four accomplished professionals who have graciously agreed to share their experiences with us. We will also collect your thoughts and questions for the panelists throughout the week and incorporate them into the discussion. |
77 | | - <ul> |
78 | | - <li> |
79 | | - <b>Lisa-Marie Vortmann</b> is an assistant professor at the University of Groningen, working on attention for BCIs using methods from Virtual Reality. |
80 | | - </li> |
81 | | - <li> |
82 | | - <b>Niklas Wilming</b> works as an AI specialist for Rosen, an international company with more than 4.000 employees, providing asset integrity management and consulting services to businesses around the world. |
83 | | - </li> |
84 | | - <li> |
85 | | - <b>Justin Shenk</b> has worked for Intel and multiple start-ups before founding VisioLab, a Berlin-based start-up for AI-powered visual self-checkout. |
86 | | - </li> |
87 | | - <li> |
88 | | - <b>FeelSpace</b> is an Osnabrück-based startup developing a belt to help the blind navigate and orient themselves. We will be joined by one of their co-founders, either Susan Wache, CMO, or Silke Kärcher, CEO. |
89 | | - </li> |
90 | | - <li> |
91 | | - <b>Thomas Klein</b> from the IICCSSS team will moderate the panel. Thomas is currently pursuing his PhD on explainable models for vision science at the MPI for Intelligent Systems in Tübingen. |
92 | | - </li> |
93 | | - </ul> |
94 | | - |
95 | | - <h2>Institute tour</h2> |
96 | | - There will be two institute tours corresponding to the two campuses. You will be asked to sign up for one of them already on Monday. Tuesday afternoon we will then meet in the two groups and visit the labs. |
97 | | - <ol> |
98 | | - <li>"Schloss" tour |
99 | | - <ul> |
100 | | - <li><a href="https://www.dfki.de/en/web/research/research-departments/plan-based-robot-control" target="_blank">DFKI</a> (Deutsches Forschungszentrum Künstliche Intelligenz)</li> |
101 | | - <li><a href="https://www.sleepdream.uni-osnabrueck.de/" target="_blank">Sleep and dream</a></li> |
102 | | - </ul> |
103 | | - </li> |
104 | | - <li><a href="https://www.ikw.uni-osnabrueck.de/en/home.html" target="_blank">IKW</a> tour |
105 | | - <ul> |
106 | | - <li><a href="https://www.ikw.uni-osnabrueck.de/en/research_groups/ethics_of_ai/data_ethics_outreach_lab.html" target="_blank">Data ethics outreach lab</a></li> |
107 | | - <li><a href="https://www.ikw-cms.uni-osnabrueck.de/research_groups/ai_exhibition_at_museum_fuer_industriekultur/microcosmai.html" target="_blank">MicrocosmAI</a></li> |
108 | | - <li><a href="https://www.ikw.uni-osnabrueck.de/en/research_groups/psycho_and_neurolinguistics/overview.html" target="_blank">Psycho- and Neurolinguistics lab</a></li> |
109 | | - <li><a href="https://www.comparative-biocognition.de/" target="_blank">Comparative Biocognition</a></li> |
110 | | - <li><a href="https://cogsci-journal.uni-osnabrueck.de/" target="_blank">CogSci Student Journal</a></li> |
111 | | - </ul> |
112 | | - </li> |
113 | | - </ol> |
114 | | - |
115 | | -</div> |
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