Program « 2018 Quantified Self Conference

2018 Quantified Self Conference Program

QS conferences

Join us at QS18 for over 75 first-person talks, tool demos, and expert-led workshops about self-tracking, N-of-1, and everyday science.

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Saturday
Opening PlenarySession 1Session 2LunchSession 3Session 4Afternoon Plenary

Sunday
Morning PlenarySession 5Session 6LunchSession 7Session 8Closing Plenary


Saturday, 09/22/2018

Opening Plenary
9:00 - 10:00

What I've Learned From Thirty Years of Doing and Teaching Self-Experimentation

Allen Neuringer

Allen Neuringer, Emeritus Professor of Psychology at Reed College, is a pioneering teacher, scholar, and self-tracker whose work has influenced many of us in the Quantified Self community. His 1981 paper "Self Experimentation: A Call For Change" was a prescient argument for using self-collected data as a tool of discovery. Professor Neuringer will open this year's meeting with lessons he's learned from his own experiments and those of his many students.

Session 1
10:30 - 11:30

Show & Tell

Learning from Excuses

Valerie Lanard

Over years of tracking exercise, Valerie Lanard inadvertently compiled an incredible data set by documenting her excuses for not exercising. From this unexpected trove she learned why she tended to get sick, how she's prone to injury, and also the importance of logging a little extra context.

A Self-Study of My Child's Genetic Risk

Mad Ball

Mad Ball is a carrier for a rare genetic disease that entailed the risk of having a child with a serious intellectual disability. But how much risk? Through careful self-investigation based on consumer genomics, a reasonable estimate turned out to be possible.

Tracking My Personal Reliability

Daniel Reeves

Daniel Reeves has made it a strict personal rule that every time he utters a statement starting with "I will" to someone, no matter how casually, he logs the commitment, with a due date, and keeps track of when he follows through.

Quantifying My PhD: Pomodoros and Productivity

Maggie Delano

How much work does it take to get a PhD? How do marathon work sessions affect future productivity? Maggie Delano will answer these questions and more using data from tracking over 5000 pomodoros over the course of earning her PhD.

Session 2
12:00 - 13:00

Show & Tell

My Biological Rhythms in Sickness and in Health

Azure Grant

Azure Grant is interested in circadian and ultradian rhythms. Over a 10-day period she collected EEG, EKG, EGG, glucose levels, and body temperature measurements to explore how these different systems interacted.

How Work Distractions Affect My Focus

Madison Lukaczyk

Madison Lukaczyk wanted to improve her focus by controlling her distractions. Using time-tracking data, she created visualizations that revealed how frequently her workflow was interrupted by chat threads, emails, and texts.

Tracking Glucose as a Person Without Diabetes

Justin Lawler

Justin Lawler tracked his glucose over four months using a continuous glucose monitor. He compiled a total of 21,000 glucose measurements, along with many other biometrics, to gain insight into what affects his metabolism.

Which Grasses Aggravate My Allergies

Thomas Blomseth Christiansen

Thomas Christiansen's allergies are aggravated when he runs during grass pollen season. For this project he used a GoPro to document passing vegetation and a device to record his sneezes in order to pinpoint which plants activated his nose.

Three Marathons on Zero Calories

Mikey Sklar

How far can we go using our fat as fuel? Mikey Sklar will be sharing the diet, training, and testing that went into running 76 miles in less than 24 hours without the use of food.

Breakout Discussion

The Artificial Pancreas 2.0: What’s Coming?

Jessica Ching

Diabetes is unique because the “cure” could be a widely available medical device instead of a drug. The success of the new artificial pancreas systems relies on knowledgeable users setting the pace. Now major device companies and startups have joined in, so let’s discuss what comes next.
Location: Three

What Are My Data Rights?

Mad Ball

Do we have a right to download "our data" generated in platforms, apps, and devices? Are there reasonable limitations? Does government regulation help?
Location: Two

Can We Quantify the Non-Monetary Value of Education?

Whitney Erin Boesel

It's hard to decide whether to take yourself out of the workforce to pursue post-secondary education. Economists think about this decision in terms of lifetime earning potential. What are other ways to quantify the value of an education?
Location: Studio

How-To

Set Up a Community-Based Environmental Health Sensing Project

Dawn Nafus

Longtime Quantified Self participant and scholar Dawn Nafus has been deeply involved in community environmental monitoring projects. Come take advantage of her knowledge and experience before starting your own.
Location: One

Lunch
13:00 - 14:00

Office Hours

Eternalist

Aaron Yih | Website

Eternalist is the world's first self-writing journal. It works by syncing and displaying data from the apps you already use—like Spotify, Fitbit, Instagram, and Google Calendar—into a private and timeless record of your "beautiful life."

Avenna

Daryl Fernandes | Website

Avenna is a Quantified Self approach to precision medicine. We're developing self-care pathways incorporating the GlyHealth Index (a blood glycomics test) and other precision medicine biomarkers for early stratification and monitoring of chronic inflammatory disease (CID) progression.

Quantified We

Eric Rassman, David Hersey | Website

We all have blind spots that prevent us from seeing our own strengths and limits, even if we can see those of others. Leap Forward's Quantified We is a platform for earning trust so we can learn from how we're reflected by others and harvest this data for our own growth.

Artificial Pancreas 2.0

Jessica Ching | Website

Come learn more about the artificial pancreas I use: how it's made, how it works, and how you may be able to benefit and contribute.

Mymee

Mette Dyhrberg | Website

Mymee is a platform for data-driven coaching, with a focus on sustainable behavior changes.

Institute for Next Generation Healthcare, Mount Sinai

Patricia Glowe | Website

INGH is committed to accelerating new discoveries, technologies, and platforms to transform the definition of "health" and contribute to a new and growing model of healthcare innovation. Come see our newest tool for N-of-1 studies.

RescueTime

Robert Macdonell | Website

RescueTime helps people take control of their digital lives and find balance with their devices both at work and at home. With accurate data about how you are spending your time, you are able to make more informed choices and take action to improve the quality of your time.

Winks Labs

Russel Walters

Winks is a novel sleep diagnostic that uses a case-based AI to assess sleep and learn from sleep clinicians.

Session 3
14:00 - 15:00

Show & Tell

A Decade of Tracking Headaches

Stephen Maher

Stephen Maher started with paper and pen, and eventually developed his own app to help him learn about his headache patterns and manage his actions, medications, and expectations.

Estrogen and Invention

Shara Raqs

Do hormones activate creative thinking? Using fertility data from 70+ cycles, Shara Raqs discovered the time in her cycle that she was most likely to experience eureka moments.

Tracking What I Do Versus What I Say I'll Do

Eli Ricker

For years, Eli Ricker has tracked her self-created "Life Satisfaction" score and whether or not she did what she said she would. She’ll describe what this practice taught her about effective goal setting, true productivity, and deeper satisfaction.

Using Running And Cycling Data To Inform My Fashion

Anna Franziska Michel

Anna Franziska Michel will describe how she uses her own running and cycling data as material for her startling and beautiful work in fashion design.

Finding the Optimal Training Zone

Ralph Pethica

Ralph Pethica has been combining fitness tracking and subjective data with genetics, using techniques from his work with professional athletes to help find the optimal way for him to train.

Breakout Discussion

How to Measure Recovery After Exertion

Jacqueline Wheelwright

For people who deal with conditions that induce fatigue, what tools are there to help safely manage their exertion and recovery?
Location: Studio

DNA Testing: What Can We Learn Today?

Mikey Sklar

Today's DNA swab tests offer lots of information, including guidance on vitamin deficiencies, pharmaceutical drug compatibility, food sensitivities, and health risks. Let's discuss how one should use the information that different reporting services are currently offering.
Location: Three

Subjective Self-Tracking: Using Our Senses as a Sensor

Jakob Eg Larsen, Thomas Blomseth Christiansen

Our senses pick up a wealth of information about our environment and, consequently, ourselves. But it's often difficult to pick up on the signal. Let's talk about what we can learn by augmenting, or at least paying attention to, our senses.
Location: Two

How-To

Apply Machine Learning Techniques to N-of-1 Data

Eric Jain

Machine learning is typically done on large data sets. Zenobase founder and QS Forum co-admin Eric Jain will lead a discussion on applying machine learning techniques to our N-of-1 experiments.
Location: One

Session 4
15:30 - 16:30

Breakout Discussion

Understand Your Ovulatory Cycle with Continuous Body Temperature

Azure Grant

Are you interested in joining a participant-led research project? Our next PLR is focused on continuous body temperature and ovulatory cycling. Come discuss and help shape this project.
Location: Three

Sleep Trackers, Sleep Trackers, Sleep Trackers

Esther Dyson

There are now a large number of sleep trackers, including trackers from Oura, Whoop, ResMed, Fitbit, and various Apple and Android devices. Come discuss the ins and outs of tracking our sleep.
Location: Auditorium

Public Self-Tracking in the Age of Russian Hacking

Lillian Karabaic

What are the risks of making our personal data public?
Location: Two

Designing Platforms for N-of-1 Experiments

Mark Drangsholt, Ravi Karkar

Several attempts have been made to build online platforms for self-tracking and self-experimentation. What's been learned, and what are plausible next steps?
Location: Studio

How-To

Building DIY Trackers with Open Hardware

Jakob Eg Larsen, Thomas Blomseth Christiansen

You have the power to develop your own self-tracking devices! Join some of the QS community's most experienced technologists, and get started using open hardware Arduino boards to create your own instrumentation.
Location: One

Afternoon Plenary
17:00 - 18:00

The Open Stack: Rethinking Our Self-Tracking Tools

Jakob Eg Larsen, Maggie Delano

What if our self-tracking tools were open from top to bottom: hardware, firmware, software, and data all equally accessible and customizable? We'll discuss current work on the Open Stack and have a freewheeling discussion of what features we'd like to see and who can build them.

Sunday, 09/23/2018

Morning Plenary
9:00 - 10:00

Learning What's Interesting

Victor Lee

Victor Lee has been running after-school experiments in measuring engagement in organized activities, using a visual lifelog and an electrodermal activity device. But what can students learn that they don't already know?

Sharing Our Data Can Help Us Learn and Grow

Kyrill Potapov

Teacher and scholar Kyrill Potapov has created a series of innovative Quantified Self projects using books, plants, and other unlikely elements. In this talk he'll explore the particular kind of learning self-tracking can support.

Session 5
10:30 - 11:30

Show & Tell

#100DaysofQS: Daily Art from Data

Lillian Karabaic

After 10 years of collecting data on herself, data visualizer Lillian Karabaic embarked on a project to make a daily art piece from her data for 100 consecutive days, with pieces ranging from "Mildly Scary Things I Have Done" to "Burritos Per Year."

Building My External Brain

Todd Greco

For the last decade Todd Greco has been using a variety of data sources to build up his exobrain, including recording every location he's visited, allowing him to call up each place individually or map them.

My Headaches from Tracking Headaches 

Jakob Eg Larsen

Jakob Eg Larsen thought tracking headaches would be an easy task. But the very first question turned out to be less straightforward than it seemed: What counts as a headache?

Quantifying the Effects of Microaggressions

Jordan Clark

Jordan Clark used his heart rate variability (HRV) data to measure psychological effects of microaggressions as part of his research quantifying the Black experience.

What I'm Learning from My Meditation App

Alec Rogers

Alec Rogers wanted to see if there was a way to measure mindfulness after meditation, so he built his own simple, open-source meditation tracker.

Tracking Across Generations

Aaron Yih

Since the day Aaron Yih was born, his grandfather documented his life in large photo collages he hung on the walls. Now that his grandfather is 84, Aaron is using digital archiving and modern lifelogging tools to continue the record that his grandfather began over two decades ago.

Breakout Discussion

Ethical Conduct in QS Research

Eddye Golden

Standard approaches to ethical oversight of human subjects research don't easily apply to QS projects, where we collect our own data and ask our own questions. But what standards and procedures do reasonably apply? In this breakout we'll discuss emerging practices and perhaps propose new ones.
Location: Studio

Self-Tracking vs. Self-Experimenting—When Is the Extra Work Worth It?

Eli Ricker

When does it make sense to construct a self-experiment? What are the advantages of tracking a metric over a long period of time? Let's talk about practical considerations for doing both well.
Location: Three

The Promise of Non-Invasive Glucose Monitoring

Esther Dyson, Justin Lawler

New technologies allow non-invasive methods for measuring glucose. Access to this data is obviously useful for managing diabetes and more. What will we do with it?
Location: Two

How-To

Make Own Metabolism-Tracking Device

Mikey Sklar

There's a wealth of data in your breath, but it's been hard to access. Available tools are either expensive or unreliable. This session will demonstrate how to build an inexpensive device for measuring acetone in your breath, which is useful for understanding your body's fat metabolism.
Location: One

Session 6
12:00 - 13:00

Show & Tell

Ten Years of Tracking My Location

Aaron Parecki

Aaron Parecki will talk about what he's learned from using extensive continuous location data, based on a decade of experience.

Blood Oxygen on Mt. Everest

Fah Sathirapongsasuti

Fah Sathirapongsasuti's project, carried out on his way up Mt. Everest, allowed him to carefully evaluate both the drop in his blood oxygenation and the effect of acclimatization—and contained some useful discoveries.

What InsideTracker Taught Me About My Five-Day Fast

Kyrill Potapov

Kyrill Potapov underwent a five-day fast to measure the impact of cell death (apoptosis) on cholesterol and hormone levels, using two InsideTracker panels to show before and after states.

Learning an Impossible Form of Exercise

Jessica Ching

Exercising without food for a person with diabetes is akin to scuba diving without air; medical “experts” say it’s impossible. Jessica Ching was unwilling to believe this and conducted a series of personal trials. She has since run thousands of miles, almost all without eating.

Tracking Breathing to Control My Focus

Shamay Agaron

Shamay Agaron has been using a breath measurement instrument, the Spire, to understand more about his patterns of focus.

Breakout Discussion

Breakout for Women/Non-Binary-Centered Conversations

Maggie Delano

Women- and non-binary-centered QS meetups in SF, Boston, and NYC have created space for interesting QS conversations over the years. This session is specifically for people who identify as women and/or non-binary people in a way that is significant to them. We'll have an open discussion.
Location: Three

Can Data Help Your Posture?

Esther Gokhale, Mark Leavitt

There are devices to help people improve their posture, but how well do these work? Let's talk about our experiences using data to create better posture, and how to improve posture-improving devices.
Location: Two

How-To

Guide Running Training with HRV

Marcel van der Kuil

Marcel van der Kuil is well known in the QS community for his experience and expertise with personal data in running training. He will show how to use morning heart rate variability measurements to guide the intensity of your workouts, while explaining what those metrics represent physiologically.
Location: One

Lunch
13:00 - 14:00

Office Hours

Psygraph

Alec Rogers | Website

Psygraph is an open-source app that measures mindfulness practice. It tracks time spent during meditation, breath-counting ability (as a measure of mind-wandering), self-report of mindfulness at random intervals, and user notes.

Yooneeque

Anna Franziska Michel | Website

Yooneeque creates sporty, intelligent fashion using neural networks to convert the personal training data of athletes into individual designs.

Data Sense

Dawn Nafus | Website

Data Sense is a personal data exploration tool for those of us with no interest in learning how to code. It offers flexible ways of finding patterns and an introduction to key data concepts.

Research on Meditation and Neurofeedback

Eli Ricker

I'm sharing my research on how meditation and neurofeedback affect cognitive performance, mood, and productivity. Ask me about what the research found and what the implications are.

Open Humans

Mad Ball | Website

Open Humans is an open-source ecosystem and community for exploring and collaborating with personal data. Stop by to learn more, especially about our "Personal Data Notebooks," where people can create shareable analyses of their data that others can use to analyze their own data.

SpineTracker

Esther Gokhale, Mark Leavitt | Website

SpineTracker is a wearable and app that shows the shape of your spine in real time with five small sensors placed vertically from the sacrum up the lumbar spine.

Genetrainer

Ralph Pethica | Website

Genetrainer is used by professional athletes to combine genetics with fitness data, and it's now available for everyone.

Linaid

Stephen Maher | Website

Linaid is an iPhone tracking assistant with user-defined statistics and graphs, and .csv export.

One Button for Recording Observations

Jakob Eg Larsen, Thomas Blomseth Christiansen | Website

We've made simple, open instrumentation that creates a private, time-stamped record every time it's pressed.

Session 7
14:00 - 15:00

Show & Tell

Does My Stomach Anticipate My Meals?

Benjamin Smarr

Benjamin Smarr has been collecting glucose, body temperature, heart rate, and stomach activity data to see how his body responds to scheduled meals, and whether it keeps the schedule when he fasts.

Separating Work and Home

Lydia Lutsyshyna

Lydia Lutsyshyna tracked the timing and location of her activities, then experimented with clearly separating studying and non-studying intervals to see if this simple delineation produced noticeable effects in her behavior.

Learning to Run a Marathon a Month

Albara Alohali

Albara Alohali combined self-collected data and storytelling to help himself meet a personal challenge: running a marathon every month.

My Blood Values from Diet and Other Activities

Benjamin Best

Ben Best measured his blood glucose, ketones, triglycerides, and cholesterol in response to a wide variety of foods and other activities. He'll show how his analysis changed his dietary choices.

To Teach QS, First Know Thyself

Michael Lim, Alexander Truong

Michael Lim, teacher, and Alex Truong, 12th grader, redesigned the AP Statistics course at Summit Shasta High School to have students learn by analyzing their self-tracking data. They prepared by doing their own QS project with Rescuetime, MyFitnessPal, multivariate regression, and more.

Breakout Discussion

What If Correlation Is Causation? (A Conversation Inspired by Judea Pearl)

Eric J. Daza, Eric Hekler

Join Eric Hekler, director for the Center for Wireless and Population Health Systems at UCSD, for a discussion on how to use self-tracking data to update your causal models.
Location: Studio

Human Machines: Is Quantifying Experiences Dehumanizing?

Kateryna Maltseva

Being human is important. Is it possible that representing individuals through numbers denies us some humanity? In this session, we will discuss whether quantification of experiences makes people less human-like and more machine-like.
Location: Two

Self-Tracking for Kids

Kyrill Potapov

Kids find self-tracking valuable too, but what are they interested in tracking? What considerations should be taken with young people's data?
Location: Three

How-To

Improve the Efficiency of Your Workouts

Ralph Pethica

This workshop will show how to use readily available and affordable tools (fitness apps, tests, and devices) to help make your workouts more efficient, including what kind of metrics to track and how to interpret them.
Location: One

Session 8
15:30 - 16:30

Breakout Discussion

Data-Driven Behavior Change?

Bethany Soule, Daniel Reeves

The QS community includes self-trackers and toolmakers who have experimented deeply with tools for achieving goals and making personal changes. Come discuss what's worked, what's failed, and what we've learned so far.
Location: Auditorium

Design Principles for Self-Tracking Applications

Dietrich Ayala

Have you ever said, "I love that app, but I wish it did X," or "That was my favorite self-tracking app, but it's no longer maintained"? Let's talk about design principles for self-tracking tools that make them secure, useful, and usable for a long time.
Location: Studio

Microdosing, Nootropics, and Supplementation

Ioan Mitrea

Some of us microdose and use nootropics. Many of us use supplements. Let's talk about how to evaluate whether the impacts live up to our expectations. How do you test for the efficacy of different doses or protocols?
Location: Two

Quantifying Microaggressions

Jordan Clark

Inspired by Jordan Clark's talk on his attempt to understand the impact of microaggressions through logging his experiences on Twitter and heart rate variability measurements, we're going to continue the conversation.
Location: Patio

Learning Slow vs. Teaching Fast

Rajiv Mehta

Discover the experiences and meta-lessons of a two-year deep dive into teaching one particular self/family-tracking tool (Atlas CareMap) and observing lots of unexpected outcomes. Are these unique or widely applicable?
Location: Three

How-To

Track Your Location Over the Long Term

Aaron Parecki

Location tracking is very common now, but it presents some special challenges: privacy, secure long-term data storage, and integration with other data types. Aaron Parecki, who has been tracking his location continuously for over a decade using open tools, will lead this workshop.
Location: One

Closing Plenary
17:00 - 18:00

Cholesterol Levels While Nursing

Whitney Erin Boesel

After giving birth, Whitney Erin Boesel learned that her cholesterol was very high. Given her family history, it seemed that an intervention was in order. But what if she did nothing and simply made observations?

Conference Closing: What Do We Want to Learn Next?

Gary Wolf


Session Times

SATURDAY
SEPTEMBER 22ND

8:00 am Registration & Coffee

9:00 am Plenaries and Sessions

1:00 pm Lunch & Office Hours

2:00 pm Plenaries and Sessions

6:00 pm End of First Day

SUNDAY
SEPTEMBER 23RD

8:30 am Coffee & Mingling

9:00 am Plenaries and Sessions

1:00 pm Lunch & Office Hours

2:00 pm Plenaries and Sessions

6:00 pm End of Conference