”What is most satisfying in life is to contribute.”In this talkRevolutionary organizerRosie von Liladraw from her experiences from Burning Man and talks about how to build participatory communities. Rosie discusses what it takes to create an atmosphere of invitation, inspiration, and innovation that compels individuals to engage in a larger civic and social ecosystem for the betterment of their communities.

“The future will look more like the past than the present.”In this talkKate Stone, Creative Scientist at Novaliatalks about how she strives for making everyday objects animated with a digital soul, and by creating experiences with everyday things.The deeper she explore the space, people join her team and with the partnerships, the more she begin to see that the future looks feels more like the past than the present, an analogue physical world with a digital soul.

”We need to make sense of data while support our own humanity.”The Internet of Things promises more data and intelligence, however designing for socially relevant engagement is key to making meaning out of these technologies. Through examples that draw on humanizing data Senior researcherKati London, Microsoft Research,talks through opportunities and challenges in this space.One example is when she draws on her own experiences and demonstrates botanicals; an invention that basically humanizes plants, giving them abilities such as emotions and dialect.

”It’s all about the things.”Interaction designerAlexandra Deschamps-Sosino, Designswarm,talks about how to design connected products that are meaningful to humans.We live in an in-between world where technology and reality is kind of blurry. But, we have the opportunity to experiment with the technology that we have. The Internet of Things should never be a reflection of the industry but push forward and move beyond that.

"Collecting data is extremely important for the individual woman but also for society.”Ida Tin is theco-founder and CEO ofClue, a period tracking and fertility app with theambition is to empower women, to allow them to take better control of their lives and to help female health and science.In this talk Ida talks about why female health and family planning is interesting and trendyto study in health technology.Understanding the menstruation cycle is valuable to women individually, and by using data collected you gain insight on fertility, miscarriage and pregnancy at an individual as well as at a global scale.

“The greatest potential with wearables are still ahead of us.” Laura Michelle Berman is the co-founder of Melon, a brainwave-monitoring headband and award-winning mobile application for measuring and improving focus. She speaks about her experience designing and building a wearable product and share her vision for how wearable technology will evolve over time.

"To make strategic choices you need to understand who you are designing for."The New York Times design researcher, Juliette Meltonreframes what we mean when we talk about data, and instead, consider: how do we learn at scale in order to be more strategic?In this talk, Juliette shares how her team reframed the question of "whither data" by starting where they were as human-centered designers, and collaboratively build a flexible, human-centered data practice. She shares case studies about how to work with data in order to make stories more powerful.

Interview with Sabrina Majeed, BuzzFeed by Andreas Ekström, HD-Sydsvenskan.

”With these guidelines you will get into a state of data bliss.”In this talk, Roger Magoulas, Research Director of O’Reilly Media go deep into the process of finding useful data and the importance of visualizing it, he also presents a framework for working with data.The world is awash in messy, ambiguous, poorly formed data. We need to present clean data with consistent categories that can be integrated into connecting with real things.Exploration with data is far more important than to simply look for confirmation with data. Through exploration with different kinds of data tools we get a bigger picture instead of only small parts. Through collaboration and awareness of our bias the data can get even better.