WebSci 2014 - WebSci 2014 Doctoral Consortium

The goals of the Doctoral Consortium are to provide you with a supportive and critical learning opportunity to discuss your work in progress and to receive feedback and guidance from senior web and information science scholars. You will be able to explain your dissertation research and highlight theoretical and methodological problems/issues for further discussion and inquiry both with senior mentors and Consortium participants.
The Doctoral Consortium aims to broaden the perspectives and to improve your research and communication skills. We expect you to have a specific research proposal and some preliminary results and have sufficient time prior to completing your dissertation to benefit from the consortium experience. Generally, if you are in your second or third year of PhD work, you will benefit the most from this experience. In the Consortium, you will present your proposal and receive specific feedback and advice on how to improve your research plan. The Doctoral consortium also aim to develop a supportive community within which doctoral students can begin to develop their professional networks by interacting with peers and senior scholars in web science and information science.
All proposals submitted to the Doctoral Consortium will undergo a thorough reviewing process with a view to providing detailed and constructive feedback. The international program committee will select the best submissions for presentation at the Doctoral Consortium.
Submission information:
We ask you to submit an 8 page description of your PhD research proposal by sending it as an attachment to one of the co-organizers of the Consortium. Please send it to Howard Rosenbaum hrosenba-AT-indiana.edu.
Submissions should be formatted according to the official ACM SIG proceedings template.
http://www.acm.org/sigs/publications/proceedings-t...
Your submission must address each of the following questions:
Problem Statement: What is the problem that you are addressing?
Relevance: Why the problem is important? Who will benefit if you succeed? Who should care?
Related Work: How have others attempted to address this problem? Why is the problem difficult?
Research Question(s): What are the research questions that you plan to address?
Hypotheses: What hypotheses are related to your research questions (if your work has hypotheses)?
Approach: How are you planning to address your research questions and test your hypotheses? What will you measure? What is the main idea behind your approach? The key innovation? Provide an argument, based either on common knowledge or on evidence that you have accumulated, that your approach is likely to succeed.
Evaluation plan: How will you measure your success - faster/more accurate/less failures/etc.?
Preliminary results: Do you have any preliminary results that demonstrate that your approach is promising?
Implications: What are the theoretical, methodological and practical contributions of your work?
Additional submission requirements:
All submissions must be single-author submissions. Please acknowledge your PhD advisor(s) and other contributors in the Acknowledgements section.
Students accepted to present at the Doctoral Consortium must plan to attend the full Doctoral Consortium in order to gain as much value as possible from the experience.
Please remember that the DC submission is not the same as a research paper.
Submissions must be in pdf and be formatted according to the ACM Publications format.
Topics
The Consortium has the same scope of technical topics as the main WebSci conference:
Analysis of human behavior using social media, mobile devices, and online communities
Methodological challenges of analyzing Web-based large-scale social interaction
Data-mining and network analysis of the Web and human communities on the Web
Detailed studies of micro-level processes and interactions on the Web
Collective intelligence, collaborative production, and social computing
Theories and methods for computational social science on the Web
Studies of public health and health-related behavior on the Web
The architecture and philosophy of the Web
The intersection of design and human interaction on the Web
Economics and social innovation on the Web
Governance, democracy, intellectual property, and the commons
Personal data, trust, and privacy
Web and social media research ethics
Studies of Linked Data, the Cloud, and digital eco-systems
Big data and the study of the Web
Web access, literacy, and development
Knowledge, education, and scholarship on and through the Web
People-driven Web technologies, including crowdsourcing, open data, and new interfaces
Digital Humanities
Arts & culture on the Web or engaging audiences using Web resources
Web archiving techniques and scholarly uses of Web archives
New research questions and thought-provoking ideas