Health & Behavior Data Symposium
Technology has made it possible to study people’s behavior at an unprecedented level of detail. The advent of mobile devices and sensors allows both passive and active individual-level data collection. This opens opportunities for research, particularly in the fields of health and human behavior. High-resolution data can be collected from devices as diverse as mobile phones, wearables, social media platforms, and online surveys.
Data can be collected both purposefully (controlled studies) and as a side-effect of other processes (secondary use). It can then be processed and analyzed for various purposes from "quantified self" feedback to digital phenotyping and personalized medicine. These topics have a high impact on modern research, business, and society.
This symposium will gather the data collection community both in the Helsinki region, Finland, and internationally to discuss and network. The symposium will provide an opportunity to see the state of the art of data collection from humans, both on the tools needed to collect data and applications and analysis of that data. Topics will include design and technology, research questions, analysis and computation, ethics of human data collection, and the current ecosystem at Aalto, in Finland, and beyond.
Symposium talks are available on YouTube:
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9:00 Welcome, Jouko Lampinen, Dean of School of Science, Aalto University
Keynote & talks begin
• The public value of data: challenges and opportunities. Ciro Cattuto, Scientific Director, ISI Foundation, Italy
• Long-term data and wearables - learning from your body reactions. Heli Koskimäki, Senior Data Scientist, Oura Health and Adjunct Professor, University of Oulu
Break and Coffee
10:30 Talks continue
• Sleep and sleepiness monitoring. Jussi Virkkala, Medical Physicist, Finnish Institute of Occupational Health
• Secondary use of health and social data. Jarkko Reittu, Data Protection Officer, THL
• Panel discussion & questions
12:30 Talks continue
• A doctor’s dream of future digital era healthcare. Kiti Müller, Senior Neuroscientist, Nokia Bell Labs
• How to turn heartbeat into a secret key... and why your WiFi router already knows it. Stephan Sigg, Assistant Professor of Ambient Intelligence, Aalto Department of Communications and Networking
• Aalto Research Showcase
• Panel discussion & questions
13:50 Closing and workshop orientation
14:05 Closing remarks, Kimmo Kaski
Break and coffee
14:30–16:00 Afternoon Workshops
See workshop subjects below.
After-work session at restaurant Fat Lizard
Dr. Ciro Cattuto is the Scientific Director of ISI Foundation, a 36 year old non-profit research institute that pursues foundational and applied research in Data Science and Complex Systems. Dr. Cattuto's research focuses on using big data and advanced analytics to measure and model systems that entangle human behaviours and digital platforms.
He is a founder and principal investigator of the SocioPatterns collaboration, an international effort on studying human social and contact networks with wearable sensors, to advance research in computational epidemiology and computational social science.
Dr. Cattuto holds a PhD in Physics from the University of Perugia, Italy and has carried out interdisciplinary research at the University of Michigan, USA, at Sapienza University in Rome, and at the RIKEN Institute in Japan. He is an adjunct professor at the University of Torino and at Sapienza University, an editorial board member of the EPJ Data Science and Nature Scientific Data journals, and he has been an organizer and program chair of several leading conferences in Computer Science, Data Science and Complex Systems.
Nokia Bell Labs Senior Neuroscientist Kiti Müller (MD, PhD) is a specialist in Neurology. Her main research areas are cognitive neurophysiology, sleep and cognitive ergonomics. The research in neurocognition has focused on studying how sleepiness, alertness, the amount of information present and cognitive load of work tasks, as well as, a person's knowledge level and expertise affect the ability to handle and interpret data. Most research projects have also included R&D of different types of wearable methods that can be used on field studies to objectively measure human performance. Kiti Müller is also an Adjunct Professor in Neurology at The University of Helsinki and in Cognitive Neuroergonomics at Aalto University School of Science. She has supervised over 20 thesis works and has over 20 years of expertise in planning and leading research projects with academic and industrial partners. Before joining Nokia in 2014 she worked as Research Professor and Director of Brain Work Centre at Finnish Institute of Occupational Health. She writes a blog Dashing and a Slash of Health Bytes at kitimuller.com.
Dr. Heli Koskimäki is an expert of applied data mining and machine learning. She works as Senior Data Scientist at Oura Health, the company behind the Oura ring developed for tracking sleep and recovery. She also holds an adjunct professor position in University of Oulu. In both positions her interests include wearable sensors based intelligent solutions; including biosignal processing, data analytics, research collaboration, etc. At Oura Health, her main task is to turn data into insights for customers as a part of science team.
PhD Jussi Virkkala is medical physicist, sleep researcher at Sleep Laboratory, Finnish Institute of Occupational Health. Main research area has been different sleep and sleepiness monitoring techniques. He works also part time as medical physicist at Helsinki University Hospital in Department of Clinical Neurophysiology. You can find him at @jussivirkkala.
Stephan Sigg is an Assistant Professor at Aalto University in the Department of Communications and Networking. His research interests include the design, analysis and optimisation of algorithms for distributed and ubiquitous sensing systems. Especially, his work covers proactive computing, distributed adaptive beamforming, context-based secure key generation and device-free passive activity recognition. Stephan is an editorial board member of the Elsevier Journal on Computer Communications and has been a guest editor for the Springer Personal and Ubiquitous Computing Systems Journal. He has served on the organizing and technical committees numerous prestigious conferences including IEEE PerCom, ACM Ubicomp.
Jarkko Reittu (M.Sc. in physics, LL.M.) is the data protection officer of the National Institute for Health and Welfare (THL) and he is member of THL’s ethics committee. He has worked as legal counsel and DPO at University of Helsinki Research Services and as senior SW specialist at Nokia Networks. He is also doctoral candidate at the University of Helsinki and his doctoral research is about data protection in the scientific research.
The value of big data and advanced analytics lies, in great part, in the opportunity to make better decisions and to design better policies. Identifying needs, targeting interventions, and measuring impact are all challenges that can greatly benefit from more quantitative approaches and from data-intensive methods. This talk will reflect on the complex interplay of new data sources, data science methods and algorithmic decisions, highlighting opportunities as well as challenges for the generation of public value and social impact.
The Oura ring is a sleep and activity tracker that learns about you: it measures the physiological signals of your body, finds your individual baselines and, and guides you to make your daily choices based on your own body reactions. These reactions can be seen for example as changes in heart rate, heart rate variability, sleep and temperature. By finding the patterns through the longitudinal data you can enhance the positive triggers and avoid the choices not suitable for you. In this talk we will go through how the changes are seen in individuals’ data but also look some interesting population-wise results.
Sleep is an important part of our health and wellbeing. Circadian timing and prior wakefulness regulate sleep. Use dependent local sleep changes and effects of closed-loop stimulation have demonstrated active nature of sleep. Sleep is affected and has effect on many aspects of health and wellbeing from mood to chronic diseases. Sleep disorders and reduced quantity and quality of sleep increases sleepiness leading to accidents especially in monotonous tasks like nighttime driving. Process of clinical sleep disorder diagnosis is well established and is the gold standard for diagnosis. Different sleep stages affects body mobility and autonomic nervous system. With these surrogate signals, sleep stages can be estimated for long periods. With advances in mobile devices and in consumer electronics there are new opportunities for large scale sleep and sleepiness data collection.
A separate law on the secondary use of health and social data (Act on the Secondary Use of Health and Social Data, https://www.eduskunta.fi/FI/vaski/EduskunnanVastaus/Sivut/EV_303+2018.aspx) was accepted in the Parliament of Finland on 13 March 2019. The new act shall change the ways how the customer or patient health and social data can be utilized, for example, in the scientific research and teaching. Ministry of Social Affairs and Health shall form a new data permit authority, which shall grant the permissions for the secondary use of such data. New authority shall also provide the secure user environment where the data should be processed on most cases in the future. What this new legislation means in practice for the researchers?
More information: https://stm.fi/en/secondary-use-of-health-and-social-data
Kiti Müller will give a doctor’s perspective and overview on how new wearable solution and digital era opportunities to examine and communicate with patients combined with developing data science can change and improve healthcare.
The talk will briefly introduce a selection of recent research challenges and applications in Ambient Intelligence, covering Usable Security, specifically how to securely generate common secrets from noisy data; RF(WiFi)-sensing and activity recognition; as well as various applications exploiting head-mounted cameras.
Facilitator: Krisztina Cziner
Lightning talks by Aalto researchers.
- Tommi Himberg, Aalto, Department of Neuroscience and Biomedical Engineering.
- Lauri Neuvonen, Aalto, Department of Information and Service Management.
- Ana Maria Triana Hoyos, Aalto, Computer Science and Neuroscience and Biomedical Engineering.
- Yu Xiao, Aalto, Department of Communications and Networking. "Virtual Reality for Physical Therapy"
- Kunal Bhattacharya, Aalto, Computer Science, "Modelling emergent social structures and migration using population register data"
- Matti Heino, University of Helsinki, "Motivation self-management: Complex systems in occupational health psychology"
The final part of the symposium program is workshops, where small groups of people will gather to intensively discuss certain topics. Workshops are pre-planned and listed below (location in parentheses).
There is a growing body of research highlighting relations between everyday travel choices and individual’s physical and mental health. This research stream has potential for new significant findings due to capacity of widespread mobile sensing, which has enabled individual-level data collection over long periods. Findings open up the multidimensionality of human behavior, where decisions often involve tradeoffs between time available, health effects, carbon emissions, etc. However, further research and development has to account for both novel methods of defining studies and data collection procedures. In addition, there is a need for further development of useful and usable data analysis and visualization methods. This workshop will focus on ideation for multiple potential development pathways that could be enabled in this data-rich context.
Organizer: Miloš N. Mladenović, Assistant Professor, Department of Built Environment
In theory, there are simple procedures to follow when using personal data. The reality is that research pushes the limits in every direction at once. This workshop is focused on exploring those limits. Depending on audience interest, the current Aalto and Finnish personal data and ethics processes can be discussed as well.
Organizer: Maria Rehbinder, Senior Legal Counsel, Aalto University
This workshop will usability issues of wearables and presentation of data from a doctor's perspective. How to design solutions that work for both patients, healthcare experts and other caregivers? How to ensure that gathered data makes sense to users with different needs? How can design support understanding health?
Organizer: Kiti Müller, Senior Neuroscientist, Nokia Bell Labs
Many groups, in almost all schools, collect data from humans. But do they work together and even know of each other? This workshop will connect groups and researchers who do data collection, identify synergies, and hopefully find ways to save time by working together. An ideal outcome would be a data collection infrastructure at Aalto, with shared expertise and "data collection as a service", making previously difficult projects routine.
Organizer: Richard Darst, Aalto University
We will give a demo of our system of collecting and syncing data (movement, physiology, qualitative ratings, annotations...) from multiple people using cheap, wireless sensors. This allows us to combine “third person” objective measurements with “first-person” subjective experiences. In the following discussion, we can compare use cases and discuss issues regarding data analysis, and the kinds of qualitative and quantitative data needed for understanding social experiences.
Organizer: Tommi Himberg, Department of Neuroscience and Biomedical Engineering, Aalto University
This workshop will follow from Stephan's Sigg's talk on ambient intelligence and discuss how sensors and ambient intelligence in a wider variety of research, and how to make that happen.
Organizer: Stephan Sigg