Date(s) - 05/27/2017
4:00 pm - 5:30 pm
Sheraton Boston Hotel
This session at the annual meeting of the Association for Psychological Science in Boston, Massachusetts follows up from a white paper on ‘Who is doing computational social science?’ released last year by SAGE Publishing, and will look at the back story of Big Data social science and the fast-paced evolution of entice opportunities and methods to confront those challenges. Who is doing computational social science, and why? Among social scientists and humanities scholars, there is a clear appetite to engage with data at an accelerated rate. And while a recent study suggests that a majority of researchers who hadn’t yet used Big Data would like to, the challenge of the new remains.
- Nick Beauchamp, assistant professor, Department of Political Science, NULab for Texts, Maps and Networks, Network Science Institute, Northeastern University
- Ryan Kling, economist and senior associate at Abt Associates’ Health Division. Abt is a mission-driven, global leader in research, evaluation and program implementation in the fields of health, social and environmental policy, and international development.
- Kenny Joseph, postdoc at LazerLab at the Network Science Institute at Northeastern University and a fellow at Harvard’s Institute for Quantitative Social Science.
- Kris-Stella Trump, political scientist and policy researcher – currently a research specialist at the Center for Healthcare Delivery Sciences at Brigham & Women’s Hospital and Harvard Medical School, with a joint appointment to the Office of Evaluation Sciences at the General Services Administration.
The session occurs at Back Bay C Room in the Boston Sheraton at 4 p.m. on May 27.
Date(s) - 03/29/2017
11:00 am - 12:30 pm
As the data collection ability of nearly every area of science has ballooned, so has the potential for problematic research practices that can lead to irreproducible results. In this National Science Foundation Directorate for Computer & Information Science & Engineering Distinguished Lecture, Russell Poldrack of Stanford University will discuss a set of approaches that we are developing to address this reproducibility crisis in the context of human neuroimaging research. These include an integrated platform for the analysis and open sharing of neuroimaging data, frameworks for the description of data and metadata, and the use of software containers and virtual machines to enhance computational reproducibility. Poldrack will show how these approaches have the potential to enable a new era of reproducibility in science.
The lecture will be held at Room 110 of the NSF campus at 4201 Wilson Boulevard in Arlington, Virginia. It will also be webcast; to view the free webinar please register at: http://www.tvworldwide.com/events/nsf/170329/
Poldrack is the Albert Ray Lang Professor in the Department of Psychology at Stanford, and director of the Stanford Center for Reproducible Neuroscience. His research uses neuroimaging to understand the brain systems underlying decision making and executive function. His lab is also engaged in the development of neuroinformatics tools to help improve the reproducibility and transparency of neuroscience, including the OpenfMRI.org and Neurovault.org data sharing projects and the Cognitive Atlas ontology.
For more information, click here.
Date(s) - 02/27/2017
9:00 am - 10:00 am
Drawn from scholarship appearing in the current issue of The ANNALS of the American Academy of Political and Social Science, this free webinar explores the nexus of actionable analysis and big data from public, private and research sources.
Four researchers in the thick of tapping a broad array of information from disparate sources like administrative data, social media, smartphones, the Census, and experiments, and using that data to promote good policies for individual and communities, are panelists for this event: sociologist Christopher R. Browning of The Ohio State University; Barbara Entwisle, Kenan Professor of Sociology at the University of North Carolina at Chapel Hill; Elizabeth Fussell of the Population Studies and Training Center at Brown University; and Emilio F. Moran, John A. Hannah Distinguished Professor at Michigan State University and co-guest editor of the ANNALS volume.
The webinar, “The New Big Science: Linking Data to Understand People in Context,” is scheduled for 9 a.m. PT/noon ET on February 27. It is free, but attendees are urged to register in advance because online space is limited.
To register, CLICK HERE.
Date(s) - 02/18/2017
San Diego State University
February 18 will see the first round of the Big Data Hackathon/San Diego. Your challenge is to create an app, platform, and/or technology that can tie into the public health theme using datasets provided via the hackathon’s special GitHub site.
Bring your ingenuity, creativity, imagination, a laptop and a charger! Anyone is welcome to participate.
Students, engineers, developers, programmers, journalists, scientists, public officials, and community members are just a few people who may find this big data event of interest. Consider attending if you have:
- Journalistic, creative or innovative ideas
- Business or marketing savvy
- Data sense or math/statistics concepts
- Public health domain knowledge
- Computational Linguistics or Digital Humanities skills
- Mapping or programming skills
No need to have all the skills, since teamwork is one of the hallmarks of a hackathon. Plus organizers will help you to find team members during the first day. (There’s also a role if you just want to be a volunteer.) Teams will also have access to lots of free and open San Diego datasets! The event is free, and food and beverages will be provided. Teams will have an opportunity to win awards, and cash prizes, for the best overall project.
The hackathon has been organized by:
Food and beverages will be provided as courtesy
Judges are four professors at San Diego State University: Amy Schmitz Weiss, associate professor of journalism and media studies; Roger Whitney, professor of computer science; Atsushi Nara, assistant professor of geography; and Adam Hammond, assistant professor of English and comparative literature. Projects will be judged based on quality of the idea, innovativeness/creativeness, practicality/readiness; technical difficulty, and quality of the presentation.
For more information, or to register, click here.
Date(s) - 02/22/2017
8:00 am - 8:00 pm
Bringing together data science leaders for a day-long exploration of emerging practices and technologies.
Domino Data Lab created the Data Science Pop-up series to bring together quantitative researchers who are passionate about asking the right questions and identifying problems worth solving. Our goal is to present real stories about the cutting edge work being done today. The event is a is a day-long forum where people share ideas, develop best practices, and network with others in their field. We welcome anyone working in the field of data science to join us for this one-of-a-kind event.