TalTech DataLab, in cooperation with TalTech Eye-tracking Lab, Law School & TalTech Legal Lab, Department of Business Administration, IVAR Laboratory, and Biosignal Processing Laboratory, is inviting the PhD students and faculty members to participate in the doctoral school on the Eye-Tracking Technologies and Methods on 27-29 September 2022.
The starting point of the doctoral school is the increased use of data technologies, like algorithms and artificial intelligence (AI), in our everyday lives and the urgent need to better understand the human behavioural consequences of this shift. The doctoral school introduces the Eye-Tracking methods increasingly used in the broad fields of scientific discipline. We also encourage broadening the prevailing methodological boundaries by inviting the participants to combine their methodological knowledge and competencies with the experimental approach. The doctoral school strives to bring together students and faculty members from various disciplines to find solutions to urgent societal problems related to data, algorithms and AI.
The doctoral school includes three keynote presentations by the leading experts in their fields, three practical workshops focusing on conducting experimental studies and a hackathon for creatively solving the urgent social problems related to increased use of data, algorithms and AI. The doctoral school takes place in a hybrid form – whereas some workshops, presentations and events take place online, others will be face-to-face. It is the first doctoral school combining TalTech's experimental research directions with the potential to become a tradition.
When: 27-29 September 2022.
Where: The doctoral course takes place in a hybrid form – whereas some of the workshops, presentations and events take place online, others will be face-to-face at TalTech.
Fee: There is no fee.
The doctoral course strives to bring together students and faculty members from various disciplines to find solutions to urgent societal problems related to data, algorithms and AI. The doctoral course includes three keynote presentations by the leading experts in their fields, three practical workshops focusing on conducting experimental studies and a hackathon for creatively solving the urgent social problems related to increased use of data, algorithms and AI.
It is possible to get credits (6 ECTS) for passing the doctoral course. TalTech students can register for the course HHI9011 Doctoral School on Eye-Tracking in technology governance in ÕIS. A written assignment must be submitted by Nov 15, 2022. More information about the assignment is available in TalTech Moodle.
To participate in the doctoral course, please register using this LINK. Registration is open from August 20th to September 5th. For more information, please contact datalab@taltech.ee.
Keynote talk (18-19.00, online)
Prof. Jeff Hancock, professor of communication, Stanford University
Title: Experimental Turn in Social Sciences: Measuring Mental Models about Algorithms
From autocomplete and smart replies to video filters and deepfakes, we increasingly live in a world where communication between humans is augmented by artificial intelligence. AI often operates on behalf of a human communicator by recommending, suggesting, modifying, or generating messages to accomplish communication goals. We call this phenomenon AI-Mediated Communication. While AI-MC has the potential of making human communication more efficient, it impacts other aspects of our communication in ways that are not yet well understood.
Over the last three years, my collaborators and I have been documenting the impact of AI-MC on communication outcomes, language use, interpersonal trust, and mental models. For example, the research shows that AI-MC involvement can result in language shifting towards positivity; impact the evaluation of others; change the extent to which we take ownership over our messages; and shift assignment of blame for communication outcomes. Given the impact of AI-MC on interpersonal evaluations, the talk will also cover our recent research examining the (mostly false) heuristics humans use when evaluating whether text was written by AI. Overall, AI-MC raises significant practical and ethical concerns as it stands to reshape human communication, calling for new approaches to the development and regulation of these technologies.
Jeff Hancock is the Harry and Norman Chandler Professor of Communication at Stanford University and Founding Director of the Stanford Social Media Lab. A leading expert in social media behavior and the psychology of online interaction, Professor Hancock studies the impact of social media and AI technology on social cognition, well-being, deception and trust, and how we use and understand language.
His award-winning research has been published in over 100 journal articles and conference proceedings and has been supported by funding from the U.S. National Science Foundation and the U.S. Department of Defense. Professor Hancock’s TED Talk on deception has been seen over 1 million times and his research has been frequently featured in the popular press, including the New York Times, CNN, NPR, CBS and the BBC
Professor Hancock worked for Canada Customs before earning his PhD in Psychology at Dalhousie University, Canada. He was a Professor of Information Science (and co-Chair) and Communication at Cornell University prior to joining Stanford in 2015. He currently lives in Palo Alto with his wife and daughter, and he regularly gets shot at on the ice as a hockey goalie.
Meeting ID: 872 0293 4010
Passcode: 033052
Keynote talk (9.00-10.00; Akadeemia tee 3, SOC-413/online)
Prof. Annette Markham, professor of media and communication, RMIT University
Title: ‘Moodboarding’: Mapping the Affective Aspects of Lived Experiences in Smart City
How can affective elements of lived experience, such as moods, be more effectively woven into systems of information used in largescale planning that relies on more standard forms of data? What do we do with ‘mood’ as data when it is so ineffable, sensory, tactile, and most importantly, beyond the flattening and standardizing forms of digital data aggregation and analysis?
Over the past decade or so, cities have inevitably focused more attention on data as an integral part of urban planning and design. This trend continues to grow with Web 3, whereby hybrid digital/physical infrastructures such as “digital twins” grow out of massive data collection, aggregation and analytics. Within the continued rush toward datafication, actively repositioning the relationship of data to human attitudes, perceptions, or behaviors can help bring the humanness of humans back into the loop of how lived experience is measured and assessed.
In this keynote address, Markham discusses this problem and presents two approaches developed to challenge cities to consider how emotion and mood might be added back into now-common data gathering. Moodboarding draws on a common practice in design fields and advertising or marketing practices to build visual and sensory layers that initially explore and later convey particulars ‘mood’. Hybrid Mapping is a technique for exploring various agential forces operating in specific contexts, and draws on three disciplinary domaines: GIS mapping, layered accounts in interpretive sociology, and situational analysis in postmodern feminism.
In discussing these methods, Markham draws attention to core principles of ‘emergent’ research design and the value of adaptive and flexible methods for studying complexity, as well as adopting an activist ethic of social change, which can productively shift one’s research practice from explanation to intervention. In this orientation, methods are guided by the purpose and research questions, rather than adopted as a priori or taken-for-granted approaches.
Annette Markham is Professor of Digital Ethnography at RMIT University and Professor MSO (on leave) of Information Studies at Aarhus University. She is a pioneer of digital ethnography and well known for her innovations in methods and ethics for studying digitally-saturated social contexts. She holds a PhD in organizational theory (Purdue University, 1997), researching the impact of digitalization on identity and organizing practices. She holds specializations in social impact of datafication and algorithmic logics on social practices, critical pedagogy, arts-based intervention methods, models for citizen social science, and digital research ethics. More can be found at annettemarkham.com
Meeting ID: 854 1204 5889
Passcode: 294711
Coffee break (10:00-10:30)
Workshop on Eye-Tracking Part I (10.30-12.00, online)
Kurt Debono, SR Research Ltd.
Title: Introduction to Eye-Tracking Experiments with Eye-link (study design, calibration, data collection, etc)
Kurt Debono has a background in bilingual Speech and Language Therapy, Cognitive Science and visual Psychophysics. His research interests span traumatic brain injury, Autism, visual perception and smooth pursuit eye movements. He started using the Eyelink II and the Eyelink 1000 eye trackers in 2009 during his PhD in Giessen, Germany and has been working with SR-Research helping others with everything eye-tracking related since 2012.
Meeting ID: 875 8064 7820
Passcode: 895392
Part I (Day 2): The eye workshop will be covering:
- how the eye tracker works
- different mounts available
- eye tracking room layout considerations
- technical specifications and limitations
- participant setup, calibration, validation, drift-check
- tracking in various modes: head-fixed, head-free. monocular/binocular
- use of the eye tracker software
- eye tracking data file
Part II (Day 3): Experiment-creation software (mainly Experiment Builder)
- experimental design considerations
- implementing eye tracking tasks with Experiment Builder
- data collection
- synchronising with EEG
Data analysis
- various ways of opening an eye movement data file and the typical steps involved in analysing eye movement data using our "Data Viewer" software.
Lunch (12:00-13:00)
Workshop on Eye-Tracking Part II (13:00-14:30, online)
Meeting ID: 875 8064 7820
Passcode: 895392
Coffee break (14:30-15:00)
Workshop on EEG/fNIRS (15:00-16:30, online)
Slobodan Tanackovic
Title: Brain Computer Interface - The current STATE of ART
Slobodan Tanackovic studied electrical engineering at Belgrade University. He was part of the Epilepsy surgery program at the University Hospital of Coimbra, Portugal. He has also implemented a multi-modal study approach in neurosciences in different universities in Portugal. Currently, Slobodan is involved in ECGi-CMR development in the UK.
The Brain-Computer Interface (BCI) research area is a thriving and rapidly expanding field. During the workshop, the main principles of BCI will be addressed. Recently, BCI applications have been extended to different research areas, such as rapid functional mapping on the cortical level, virtual reality and rehabilitation & therapy after stroke. There will be some live demonstrations of BCI control which will help you to understand the technology.
Meeting ID: 827 4635 7530
Passcode: 862005
Break (16:30-17:00)
Social event (17.00-19.00, f2f)
TalTech Eye-Tracking Lab
Launch of the TalTech Eye-Tracking Lab (refreshments, lab introduction, etc).
Keynote talk (9.00-10.00; Akadeemia tee 3, SOC-413/online)
Ahti-Veikko Pietarinen, professor in philosophy, Tallinn University of Technology
Title: Introducing Experimental Science: Recent Ethical and Philosophical Challenges
The path to conducting and completing valid experiments in cognitive neuroscience is rife with pitfalls, common errors and fallacies. I will highlight what is expected of published experiments in general, and in cognitive neuroscience in particular: good experimental design, controls, blinding, randomisation, Type 1-Type 2 error balance, independence of variables, adequate study power, awareness of biases and various sources of noise, proper statistical analyses, among others.
Ahti-Veikko Pietarinen received his education at the University of Turku (MSc, 1997) and University of Helsinki (PhD, 2002) in knowledge representation and AI, philosophical and epistemic logic, and history of philosophy of science.
Formerly Full Professor of Semiotics at the University of Helsinki, he has held visiting professorial positions in Korea and China.
A recipient of multiple awards, fellowships and large research grants from the US, Finland, Estonia, China and elsewhere, Ahti-Veikko is President of the Charles S. Peirce Society (2018-2020), Editor-in-Chief of Peirceana (De Gruyter), and member of the Royal Society of Medicine. In 2020 he was the fourth most cited scientist in the field of philosophy in all Nordic and Baltic countries (Elsevier Scopus).
He has published 80 Web of Science indexed journal articles and 246 peer-reviewed articles, books and editions in total in science & technology, history of philosophy, linguistics, cognitive and computing sciences, and related fields. xw
In his publications widely cited in the literature, Ahti-Veikko has developed new methods for creative reasoning and logics of abduction applied in AI, innovation studies, cognitive and computing sciences, economics, social sciences, education and clinical reasoning. His recent publications include a series of five books, Logic of the Future (De Gruyter, 2019-2022), which has been hailed as “the most consequential edition of Peirce's writings to appear since the publication of the Harvard edition of Peirce’s Collected Papers in 1930s and it may become the most seminal resource for developments in logic for many years to come” (Prof. N. Houser, IUPUI, “Afterword”, 2022)
Meeting ID: 845 1889 7057
Passcode: 175702
Coffee break (10:00-10:30)
Workshop on Eye-Tracking (10.30-13.00, online)
Kurt Debono, SR Research Ltd.
Title: Analysing Eye-Tracking Experimental Data (analysing with Data Viewer, data exporting, etc)
Kurt Debono has a background in bilingual Speech and Language Therapy, Cognitive Science and visual Psychophysics. His research interests span traumatic brain injury, Autism, visual perception and smooth pursuit eye movements. He started using the Eyelink II and the Eyelink 1000 eye trackers in 2009 during his PhD in Giessen, Germany and has been working with SR-Research helping others with everything eye-tracking related since 2012.
Meeting ID: 872 6535 9698
Passcode: 756033
Lunch (13:00-14:00)
Hackathon (14.00-17.30, Akadeemia tee 3, SOC-413)
Title: View from the industry – addressing urgent societal challenges (5 min presentation from each participant, introduction to group works)
Abstract:
The event will start with presentations from practitioners from diverse fields, mapping the most urgent challenges with data, algorithms, and AI.
The event will then continue with participants working in groups, creatively striving to find methodological ways to understand better, map and evaluate the social mechanism of these urgent challenges. By doing so, we encourage the groups to propose real-time situations and create real or fictional visuals, metaphors, etc., to ‘track’ the social changes that the transferred data and machine learning algorithms potentially evoke.
We encourage the participants to creatively combine their prior methodological, practical, and theoretical knowledge. We also encourage the interdisciplinary teams of participants to propose original ideas and potential ways how we could address the urgent data challenges through actively interacting with the co-students, colleagues, and practitioners. By the end of the hackathon, each team is expected to present their solution to the chosen problem in the preferred format (power-point, lab experiment, narrative story).
Bios:
Karen Bruns is the Co-Founder and CEO of Fyma, a computer vision SaaS platform that turns cameras into predictive sensors.Karen has 16+ years prior experience in ICT and Business Development roles and she has lived and worked in the UK, South Africa and the Middle East, both in private and public sector organisations in management positions. Karen is a regular speaker on strategy, business development and management topics at conferences and events.
Janne Lias is an Estonian artist and software developer. In the last few years, she has made attempts to use personal data in contemporary art. In the spring of 2022, she defended a master's thesis on data art at the Estonian Academy of Arts. She has previously worked as a programmer for more than ten years and obtained a master's degree in computer science at Tallinn University of Technology.
Indrek Seppo is an economist turned data scientist, who has experience from academic, private and government sector. He has worked with registry-based data from the government sector; with most modern neural-networks based computer vision models (to shoot down drones, no less) and built up e-Residency data monitoring and analysis pipeline. He is currently teaching data analysis at TalTech and University of Tartu, putting special emphasis on visualisation of data.
Marika Tammaru has training in clinical medicine and epidemiology. Last 13 years she has worked as a clinical research consultant in East-Tallinn Central Hospital. Her everyday work concerns designing and analysing studies that use data from clinical and other health-related databases. Marika believes that quality of data is the base for everything.
Mari-Liis Vähi is a digital rights and data protection lawyer at Estonian Human Rights Centre (a non-governmental human rights advocacy organization). Her primary focus is awareness raising on data protection and online privacy issues in Estonia. She also acts as a public watchdog, monitors and comments draft laws, provides input for strategies, nudges decision makers when needed and consults individuals on privacy and data protection issues.
Students’ groups: working and brainstorming on the given challenges, group presentations.
The coordinator is Prof. Anu Masso. The summer school is organised by TalTech DataLab in cooperation with TalTech Eye-tracking Lab, Law School & TalTech Legal Lab, Department of Business Administration, IVAR Laboratory, and Biosignal Processing Laboratory.
Organising committee
Programme committee: Anu Masso, Tayfun Kasapoglu, Mergime Ibrahimi, Tanel Kerikmäe, Wolfgang Gerstlberger, Ahti-Veiko Pietarinen, Maie Bachmann, Tauno Otto
Practicalities: Tarlan Ahmadov, Olga Shumilo, Maria Claudia Solarte Vasquez
Tallinn University of Technology development project: SS438MN "Establishment of a laboratory for cognitive research to assess the social, economic and legal impacts of artificial intelligence (1.01.2020−31.12.2020)" and Doctoral School in Economics and Innovation financed through European Regional Development Fund through the institutional package measure for R&D institutions and higher education institutions (ASTRA).