Brown Bag Lunch Schedule: Difference between revisions
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'''Designing with Data: How machine learning is morphing human, product, and system design''' | '''Designing with Data: How machine learning is morphing human, product, and system design''' | ||
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'''Abstract:''' | '''Abstract:''' The nature of product design has increased in scale, both inside corporations and in self-organized online communities (e.g., OpenIDEO, Local Motors). This is thanks to unprecedented amounts of digital design information made possible by globally distributed groups of thousands of people who collaborate together on design projects over the Internet. However, this increased scale and diversity comes with a price: 1) these groups generate more data than they can effectively use, 2) it becomes difficult to leverage their diverse expertise, and 3) involving non-experts meaningfully the design process, particularly for complex mechanical systems, requires rethinking how people interact with design tools and what kind of intelligent support we need to provide. | ||
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'''Bio:''' Mark Fuge is an Assistant Professor of Mechanical Engineering at the University of Maryland, College Park. His research lies at the intersection of Mechanical Engineering, Machine Learning, and Design; an area often referred to as "Design Informatics" or "Data-Driven Design." He received his Ph.D. at the University of California at Berkeley, and received his M.S. and B.S. at Carnegie Mellon University. He has conducted research in applied machine learning, optimization, network analysis, additive manufacturing, human-computer interfaces, crowdsourcing, and creativity support tools. He has received a DARPA Young Faculty Award and a National Defense Science and Engineering Graduate (NDSEG) Fellowship. You can learn more about his research at his lab’s website: https://ideal.umd.edu | In this talk I'll address how advances in machine learning can ameliorate these issues. Specifically, my students and I will introduce ongoing work on three problems: 1) how to use data to understand and simplify complex, high-dimensional, design spaces (to aid in techniques like optimization, design synthesis, and design exploration), 2) how to filter high-quality, diverse submissions out of large pools of design ideas generated by online communities (to aid in design generation and selection), and 3) how to enable non-experts to design complex mechanical parts (such as 3D printable robots) by using AI to automate various mechanical design tasks. Each problem highlights how building probabilistic models of designs via data can often produce a whole that is greater than the sum of its parts and make design (even of complex, physical systems) more inclusive. | ||
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'''Bio:''' Mark Fuge is an Assistant Professor of Mechanical Engineering at the University of Maryland, College Park, and recently joined the HCIL as a faculty member. His research lies at the intersection of Mechanical Engineering, Machine Learning, and Design; an area often referred to as "Design Informatics" or "Data-Driven Design." He received his Ph.D. at the University of California at Berkeley, and received his M.S. and B.S. at Carnegie Mellon University. He has conducted research in applied machine learning, optimization, network analysis, additive manufacturing, human-computer interfaces, crowdsourcing, and creativity support tools. He has received a DARPA Young Faculty Award and a National Defense Science and Engineering Graduate (NDSEG) Fellowship. You can learn more about his research at his lab’s website: https://ideal.umd.edu | |||
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Revision as of 13:53, 25 September 2017
The HCIL has an open, semi-organized weekly "brown bag lunch (BBL)" every Thursdays from 12:30-1:30pm in HCIL (2105 Hornbake, South Wing). The topics range from someone's work, current interests in the HCIL, software demos/reviews, study design, proposed research topics, introductions to new people, etc. The BBL is the one hour a week where we all come together--thus, it’s a unique time for HCIL members with unique opportunities to help build collaborations, increase awareness of each other’s activities, and generally just have a bit of fun together. There is no RSVP; simply show up!
If you would like to give or suggest a talk, presentation, workshop, etc., send an email to BBL student co-coordinators Sriram Karthik Badam (sbadam@umd.edu) or Pavithra Ramasamy (pavithra.ramasamy94@gmail.com). In the email, briefly describe the topic and preferred dates.
To be notified about upcoming events, please subscribe one of these mailing lists.
Fall 2017 Schedule
Date | Leader | Topic |
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08/31/2017 |
Kickoff to a new Semester! |
Come network, make introductions, and share what each of us is working on Please come to our first BBL of the Fall 2017 semester to introduce yourself and share what you're working on in the coming semester. The first BBL will be for us to network with each other and kickoff a great new semester.
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09/07/2017 |
David Weintrop, University of Maryland, College Park |
To block or not to block: Understanding the effects of programming language representation in high school computer science classrooms. Abstract: In the last few years, Chicago, New York City, and San Francisco have all announced major initiatives to bring computer science classes and computational thinking into every high school in their cities - with countless other smaller school districts following suit. Having made these commitments, attention now shifts towards how best to teach computer science to diverse populations of high school students who grew up in the age of smart phones, iPads, and Facebook. An increasingly popular strategy being employed is the use of graphical, block-based programming environments like Scratch, Blockly, and Alice. While these environments have been found to be effective at broadening participation with younger learners, open questions remain about their suitability in high school contexts. In this talk, I will present findings from a two-year classroom study looking at how the design of introductory programming environments affects learners' emerging understandings of computer science concepts and their perceptions of the field of computer science. I will also discuss the affordances of block-based programming environments relative to more conventional text-based alternatives.
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09/14/2017 |
Stacy Branham, |
From Independence to Interdependence: A Social Narrative of Assistive Technology Abstract: In the Assistive Technology and greater disabilities community, “independence” has been a core goal and frame for making progress toward equality. This dominant narrative is often interpreted to mean that disabled people can and should live independently without help from others, and that assistive devices exist to displace reliance on helpers. For example, a wearable device that gives a blind person turn-by-turn directions through an airport displaces a sighted human guide. However, my work with people with disabilities in the home, in the workplace, and in public spaces has demonstrated that collaboration is a significant tool and goal of people with disabilities in their everyday lives. Further, social setting and human-human interactions significantly impact whether and how assistive devices are used. In this talk, I will share and unpack stories from people with various abilities to argue that assistive technology design through the lens of “interdependence” provides a more honest, respectful, and empowering alternative for assistive technology design.
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09/21/2017 |
Gabriela Marcu, |
Gabriela: Addressing health inequities through human-centered design Talk 1 - Abstract: When we use empathy and human-centered approaches in developing health interventions, we have the capacity to affect social change. We can direct human-centered computing toward underserved populations. We can target marginalization, stigma, and inequity with human- centered methods. In this talk, I will share projects that have focused on addressing inequities within children’s behavioral health services, treatment for youth living with HIV, and opioid overdose prevention. I will present methodological approaches to designing for and with underserved populations, and show how to practice inclusion and equity in the design process. Based on the results of my projects, I will also outline design principles for health information technologies that do not sacrifice humanity for standardization. Finally, I will discuss the importance of broadening participation in computing, for more equitable research participation, methods, and output.
This talk discusses three main areas in this research: 1) How well does OSN data reflect real-world population data, 2) What are the patterns in response behavior to these events, and 3) How can low-quality information be filtered out from these data sources? I will present findings across these questions, showing social media data mirrors certain geographic populations, discussing event-detection algorithms, and outlining some current research in cross-platform information quality. I will then open discussion on future work in: OSN data for qualitative study, crisis informatics, and studies of population/platform differences in online information quality.
Bio: Dr. Cody Buntain is a postdoctoral research fellow at the University of Maryland’s Human-Computer Interaction Lab and is funded by the Intelligence Community Postdoctoral Fellowship. His current areas of research include studying complex social systems and how society leverages social media in the aftermath of crises and social unrest. This research includes evaluating information credibility across social media platforms, real-time information retrieval and event detection in response to crises, social media reflections of real-world phenomena, and the intersection of machine learning and computational social science.
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09/28/2017 |
Mark Fuge, |
Designing with Data: How machine learning is morphing human, product, and system design Abstract: The nature of product design has increased in scale, both inside corporations and in self-organized online communities (e.g., OpenIDEO, Local Motors). This is thanks to unprecedented amounts of digital design information made possible by globally distributed groups of thousands of people who collaborate together on design projects over the Internet. However, this increased scale and diversity comes with a price: 1) these groups generate more data than they can effectively use, 2) it becomes difficult to leverage their diverse expertise, and 3) involving non-experts meaningfully the design process, particularly for complex mechanical systems, requires rethinking how people interact with design tools and what kind of intelligent support we need to provide.
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10/05/2017 |
Sigfried Gold, |
TBD TBD
|
10/12/2017 |
Foad Hamidi, |
TBD TBD
|
10/19/2017 |
Internship Panel? (TBD) |
TBD TBD
|
10/26/2017 |
Janet Walkoe, |
Technologically Mediated Teacher Noticing Abstract: We introduce technology-mediated teacher noticing (TMTN): a vision for the design and use of technology-mediated tools that takes seriously the need for teachers to attend to, interpret, and respond to their students’ thinking. This vision is situated at the intersection of research on teacher noticing, and on technology to support student thinking. We synthesize that work to highlight specific ways that technology-mediated classroom tools can focus and stabilize teachers’ attention on valuable aspects of student thinking emphasized by current reform efforts. We then illustrate TMTN with classroom examples in which technology supported or obstructed teachers' attention to student thinking, and consider implications for research on technology in teacher practice, professional development, and the design of technological tools for K-12 classrooms.
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11/02/2017 |
Hernisa Kacorri, |
TBD TBD
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11/09/2017 |
Karen Holtzblatt and Chris Robeck
|
TBD TBD
|
11/16/2017 |
Karthik Ramani, |
TBD Abstract: TBD
|
11/23/2017 | No Brown Bag, Thanksgiving recess | |
11/30/2017 |
Georgia Bullen |
TBD TBD
|
12/07/2017 |
Pamela Wisniewski
|
TBD TBD
|
Past Brown Bags
View the Past Brown Bag Lunch Schedules to learn more about prior talks.