Portfolio item number 1
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Stephanie Baum. Report: $50M seed fund will target health IT startups. MedCityNews. March 22, 2016. https://medcitynews.com/2016/03/seed-stage-health-it-startups/
Connie Loizos. David Lee is back with a new fund: Refactor Capital. TechCrunch. March 22, 2016. https://techcrunch.com/2016/03/22/david-lee-is-back-with-a-new-fund-refactor-capital/
Emma Betuel. Meet the mods behind the fastest-growing subreddit: r/Coronavirus. Inverse. March 14, 2020. https://www.inverse.com/mind-body/the-mods-behind-the-fastest-growing-covid-19-subreddit
Olivia Solon & April Glaser. How Reddit's coronavirus community became a destination. NBC News. March 18, 2020. https://www.nbcnews.com/tech/tech-news/how-reddit-s-coronavirus-community-became-destination-n1162661
Josh Swartz, James Lindberg, & Amory Siverston. How Reddit's Coronavirus Community Became A Global Lifeline. NPR's Endless Thread Podcast. March 27, 2020. https://www.wbur.org/endlessthread/2020/03/27/reddit-coronavirus-lifeline
Mirel Zaman. What It’s Like To Moderate Reddit’s Wildly Popular Coronavirus Forum. Refinery29. April 15, 2020. https://www.refinery29.com/en-us/2020/04/9683043/reddit-coronavirus-forum-moderator-interview
Heather Kelly. Burnout, splinter factions and deleted posts: Unpaid online moderators struggle to manage divided communities. Washington Post. August 25, 2020. https://www.washingtonpost.com/technology/2020/08/25/volunteer-moderators-2020/
Brent Bambury. In 2020, the work of volunteer internet moderators is harder and more important than ever. CBC Radio. September 11, 2020. https://www.cbc.ca/radio/day6/in-2020-the-work-of-volunteer-internet-moderators-is-harder-and-more-important-than-ever-1.5719796
Published in ASONAM, 2011
New feature framework for making predictions about network formation
Citation: Sun, Y., Barber, R., Gupta, M., Aggarwal, C. C., & Han, J. (2011, July). Co-author relationship prediction in heterogeneous bibliographic networks. In Advances in Social Networks Analysis and Mining (ASONAM), 2011 International Conference on (pp. 121-128). IEEE. https://pdfs.semanticscholar.org/10f2/72220cbca311c8379a72f9d5ba387b18c437.pdf
Published in WWW, 2011
Extracting lists on the web
Citation: Fumarola, F., Weninger, T., Barber, R., Malerba, D., & Han, J. (2011, March). Hylien: A hybrid approach to general list extraction on the web. In Proceedings of the 20th international conference companion on World wide web (pp. 35-36). ACM. http://wwwconference.org/proceedings/www2011/companion/p35.pdf
Published in WWW, 2011
Automatically discovering entity pages online
Citation: Weninger, T., Fumarola, F., Lin, C. X., Barber, R., Han, J., & Malerba, D. (2011, March). Growing parallel paths for entity-page discovery. In Proceedings of the 20th international conference companion on World wide web (pp. 145-146). ACM. http://www.ramb.ethz.ch/CDstore/www2011/companion/p145.pdf
Published in WWW, 2011
Extracting lists on the web
Citation: Fumarola, F., Weninger, T., Barber, R., Malerba, D., & Han, J. (2011, March). Hylien: A hybrid approach to general list extraction on the web. In Proceedings of the 20th international conference companion on World wide web (pp. 35-36). ACM. http://wwwconference.org/proceedings/www2011/companion/p35.pdf
Published in CIDR, 2013
Trading off cost and quality in hybrid algorithmic/crowd sourced learning systems
Citation: Jeffery, S. R., Sun, L., DeLand, M., Pendar, N., Barber, R., & Galdi, A. (2013). Arnold: Declarative Crowd-Machine Data Integration. In CIDR. http://www.ramb.ethz.ch/CDstore/www2011/companion/p145.pdf
Published in DMMI, 2014
Mining medical records for meaningful patient cohorts
Citation: Agarwal, V., Lependu, P., Podchiyska, T., Barber, R., Boland, M., Hripcsak, G., & Shah, N. (2014). Using narratives as a source to automatically learn phenotype models. In Workshop on Data Mining for Medical Informatics. http://www.dmmh.org/dmmi2014_submission_4.pdf
Published in The Ethical machine, 2019
An argument for how tech can be put to work for users
Citation: Barber, R., Sundaram, H. (2019, May). When the Platform User Fights Back (with Software). In The Ethical Machine, Shorenstein Center, Harvard Kennedy School. https://ai.shorensteincenter.org/ideas/2019/4/3/when-the-platform-user-fights-back-with-software
Published in CSCW, 2019
Slower is better for some algorithms
Citation: Park, J.S., Barber, R., Kirlik, A., Karahalios, K. 2019. A Slow Algorithm Improves Users' Assessments of the Algorithm’s Accuracy. J. ACM 37, 4, Article 111 (August 2019). https://barber5.github.io/files/slow.pdf
Published:
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Stanford University, 2012
Office hours, discussion section, course management for a CS ethics course. Taught for 3 quarters.
Stanford University, 2012
Office hours and logistics for the one-time course taught by Peter Thiel on startups.
Stanford University, 2017
Office hours, logistics, and management of other TAs for project-based startup course taught by Steve Blank, popularizer of so-called lean startup methodology
University of Illinois, 2017
I taught this course as an instructor before joining the PhD program. Course description: Introduction to probability theory and statistics with applications to computer science. Topics include: visualizing datasets, summarizing data, basic descriptive statistics, conditional probability, independence, Bayes theorem, random variables, joint and conditional distributions, expectation, variance and covariance, central limit theorem. Markov inequality, Chebyshev inequality, law of large numbers, Markov chains, simulation, the PageRank algorithm, populations and sampling, sample mean, standard error, maximum likelihood estimation, Bayes estimation, hypothesis testing, confidence intervals, linear regression, principal component analysis, classification, and decision trees.
University of Illinois Urbana-Champaign, 2019
Office hours, course design, course management, and lectures on algorithmic game theory, behavioral economics, and incentives in online platforms.
University of Illinois Urbana-Champaign, 2019
Office hours, course management, and lecturing for a course on the social implications of ubuiquitous software.