Sunday, January 29, 2017

Collective Creativity Systems: Design families and remix landscapes

Title: Collective Creativity Systems: Design families and remix landscapes
Speaker: Jeffrey Nickerson, Professor, School of Business, Stevens Institute of Technology
Date: Tues, Jan 31
Time: 12:30-1:30pm
Room: NSH 1507

Abstract:
Collective creativity systems often include modification and recombination mechanisms, forms of remixing. In addition, metasystems can accelerate the exploration of design space. For example, customizers create design families by defining parameter ranges. These customizers can in turn be modified. The effect of this reuse for customization is analyzed in the 3D printing community Thingiverse. The study focuses on the design artifacts and their inheritance history, as well as their shape and semantic distance from each other. Some ways of using coordination and computation to catalyze design space exploration are discussed, with examples from several online communities.

Bio:
Jeffrey Nickerson is a professor in the School of Business at Stevens Institute of Technology. His current research focuses on collective creativity: through observation and experiment, he seeks to understand how systems composed of humans and machines can explore design space. He has a Ph.D. from New York University in Computer Science, as well as an M.F.A. in Graphic Design from Rhode Island School of Design. He is now working on two NSF-funded projects related to online community-based design and problem solving.

Tuesday, January 17, 2017

Speaker: Daniela Braga (CEO of DefinedCrowd)
Date: Tuesday, Jan 24
Time: 12:30-1:30pm
Room: NSH 1507

Abstract:
DefinedCrowd was born out of the founder’s personal frustration around data quality and slowness when dealing with data providers. Artificial Intelligence is next big technology milestone which replaces humans in menial tasks, giving us more time to enjoy more human-human interactions and focus on the really creative tasks. But to achieve this technology leap, two things are required: high quality training data and state-of-the-art machine learning algorithms. In this talk, I will walk through the reasons behind the creation of DefinedCrowd and how we are solving the data quality problem faster and at scale, by combining the latest methodologies on crowdsourcing with machine learning. DefinedCrowd is a global company headquartered in Seattle, WA, with an R&D center in Lisbon, Portugal, graduated from the Microsoft Seattle Accelerator in Machine Learning (with less than 1%  of acceptance rate and recognized by Microsoft as one of the fastest growing companies in the space) and which raised $1.1 M seed round in September 2016 from Amazon, Sony and Portugal Ventures. DefinedCrowd was also featured in http://www.inc.com/lisa-calhoun/7-artificial-intelligence-startups-to-watch-in-2017.html as one of the 7 AI companies to watch in 2017.

Bio: 
Founder and CEO of DefinedCrowd, one of the fastest growing startups in the AI space. With seventeen years working in Speech Technology both in academia and industry in Portugal, Spain, China and the US, Daniela Braga has deep expertise in Speech Science and is one the world leaders of Crowdsourcing adoption in large enterprises. Previously at Microsoft worked in pretty much all stacks of Speech Technology and shipped 26 languages for Exchange 14, 10 TTS voices in Windows 8 and was involved in Cortana. At Voicebox, created the Data Science and Crowdsourcing team, where she introduced Crowdsourcing for big data solutions and re-structured the Engineering infrastructure around data collection, processing, ingestion, instrumentation, storage, browsing and discoverability. Her effort has resulted in reducing data collection and processing costs by 80%; her approach has been adopted in multiple organizations. Dr. Braga is oftentimes guest lecturer in the University of Washington, USA, is the author of more than 90 scientific papers and several patents.