Tag Archives: symposium
We are organizing a QS symposium on cardiovascular health for scholars and researchers and participants in the QS Community. The goal of our meeting is to support new discoveries about cardiovascular health grounded in accurate self-observation and community collaboration. This one-day symposium will be held on Thursday, April 19, 2018 at the University of California, San Diego.
Our “QS-CVD symposium” is free to attend, but space is limited, so if you’d like to be there we ask you to get in touch with us and tell us something about your research, tool development, and/or the personal self-tracking projects you’re doing that are relevant to the symposium there.
Learn more about the meeting here: QS-CVD Symposium.
Read about the community driven research that has influenced our planning for the symposium here: QS Bloodtesters.
From the Symposium program statement:
We know that data collected in the ordinary course of life holds clues about some of our most pressing questions related to human health and well being. Cardiovascular disease is the number one cause of death globally. CVD risk is strongly influenced by many of the factors commonly tracked in the QS community, including fitness, diet, stress, and sleep. But significant barriers stand in the way of using personal and public data for understanding and improving individual cardiovascular health. Perhaps the most important of these barriers is a lack of consensus about the legitimacy of self-initiated research and self-collected data. Our symposium is designed to advance progress in this field through exposing practical and innovative projects that would otherwise remain invisible, inviting critical comment, and documenting the state of the art for a wider public.
This week we’re taking a look back at our 2014 Quantified Self Public Health Symposium and highlighting some of the wonderful talks and presentations. We convened this meeting in order to bring together the research and toolmaker communities. Both of these groups have questions about data, research, and how to translate the vast amount of self-tracking data into something useful and understandable for a wider audience.
As part of our pre-conference work we took some time speak with a few attendees who we thought could offer a unique perspective. One of those attendees was Margaret McKenna. Margaret leads the Data & Analytics team at RunKeeper, one of the largest health and fitness data platforms. In our conversation and in her wonderful talk below Margaret spoke about two important issues we, as a community of users, makers, and researchers, need to think about as we explore personal data for the public good.
The first of these is matching research questions with toolmaker needs and questions. We heard from Margaret and others in the toolmaker community that there is a near constant stream of requests for data from researchers exploring a variety of questions related to health and fitness. However, many of these requests do not match the questions and ideas circulating internally. For instance, she mentioned a request to examine if RunKeeper user data matched with the current physical activity guidelines. However, the breadth and depth of data available to Margaret and her team open up the possibility to re-evaulate the guidelines, perhaps making them more appropriate and personalized based on actual activity patterns.
Additionally, Margaret brought up something that we’ve heard many times in the QS community – the need to understand the context of the data and it’s true representativeness. Yes, there is a great deal of personal data being collected and it may hold some hidden truths and new understanding of the realities of human behavior, but it can only reveal what is available to it. That is, there is a risk of depending too much on data derived from QS tools for “answers” and thus leaving out those who either don’t use self-tracking or don’t have access or means to use them.
Enjoy Margaret’s talk below and keep an eye out for more posts this week from our Quantified Self Public Health Symposium.
Personal data, personal meaning. That’s the guiding principle of much of the work we do here at QS Labs. From our show&tell talks and how-to’s, to our worldwide network of meetups and carefully curated unconferences, we strive to help people make sense of their personal data and inspire others to do the same. However, over the last few years we’ve started to see that there is a third actor in the Quantified Self space. Data collected in the ordinary course of life can hold clues about some of our most pressing questions related to human health and wellbeing. Personal data might be a resource for public good.
On April 3, 2014 Quantified Self Labs with support from the Robert Wood Johnson Foundation, the US Department of Health and Human Services, and Calit2 at UCSD hosted the first Quantified Self Public Health Symposium. We gathered over 100 researchers, toolmakers, science leaders, and pioneering users to open up a discussion about what it means to use personal data for the public good. Over the course of the day we hosted a variety of talks, discussions, and toolmaker demonstrations. This week we’ll be highlighting some of the outstanding talks delivered at the symposium and we’re kicking it off with one of our favorites.
Susannah Fox has been a friend and colleague for many years. Her pioneering work at the Pew Internet and Life Project has inspired us many times over and remains the standard for research pertaining to self-tracking. We asked Susannah to help us open up the meeting by discussing some of her research findings as well as her thoughts on self-tracking in the broader landscape of health and healthcare.
(A transcript of Susannah’s talk can be found on her website here.)