The 2nd ACM Workshop on Hot Topics in Planet-scale
Measurement (HotPlanet)
co-located with ACM MobiSys '10, San Francisco, CA, USA
June 15, 2010
http://www.hotplanetconf.net/10/

Important dates:
Submission deadline: March 7, 2010
Authors notification: April 18, 2010
Camera ready: May 7, 2010
Workshop date: June 15, 2010

It is well-known that successfully researching, designing and building new
mobile, ad hoc, mesh and opportunistic networking systems and algorithms
requires access to large-scale data on human mobility, encounter, and
social network patterns. Unfortunately, the wireless and mobile research
communities lack such data, with typical human contact traces consisting of
less than 100 nodes. We believe that large-scale datasets are important,
not only in communication network design, but also for fundamental study in
other academic disciplines, e.g., epidemiology, urban planning, and social
science. Complex networks research has flourished since 1989 when the first
large Internet (and later WWW) datasets became available. To achieve
similar improvements in mobile networking and related fields, large-scale,
and ideally planet-scale, datasets must be collected and made available.

Following a successful introductory event at ACM MobiSys 2009, this year's
workshop will challenge the community to collect large-scale human mobility
traces. Our aim is to highlight the issues in collecting data on a planet-
wide scale, so that the community can help develop mechanisms to collect,
share and analyse such data.

Topics for the workshop include, but are not limited to:
- Motivating applications for large-scale human mobility data collection,
especially from other disciplines, e.g., epidemiology, sociology
- Methods for collecting large-scale human mobility datasets
- New analyses and applications of large-scale human mobility datasets,
e.g., human dynamics characterisation and modelling
- Planet-scale data collection infrastructures
- Testbed federation for planet-scale data collection
- Incentive models for encouraging users and businesses to collect and
contribute data on a planet-wide scale
- Enabling security, privacy and anonymity for large-scale data collection
- Regulatory, legal and ethical issues in planet-wide data collection

SUBMISSION GUIDELINES

All submitted papers will be carefully evaluated based on their originality,
significance, technical soundness, and clarity of expression. Accepted
papers will be published by ACM and placed in the ACM Digital Library.
Submissions must be in English, no longer than 6 pages and in PDF format, and
use the ACM templates
(http://www.acm.org/sigs/publications/proceedings-templates). All fonts must be
embedded within the PDF and be Type 1 (scalable).

In order to allow papers to appear in the ACM Digital Library, authors of
accepted papers will be asked to submit, together with their camera-ready,
an ACM proceedings copyright transfer form
(http://www.acm.org/publications/copyright_form). Failure to send the camera-ready
and copyright transfer on time will prevent the publication of the paper
and its inclusion in the ACM Digital Library.

Papers should be submitted through EDAS at
(http://edas.info/N8637). Further details are on the workshop
website at http://www.hotplanetconf.net/

PROGRAMME CHAIRS
- Tristan Henderson, University of St Andrews, UK
- Pablo Vidales, Deutsche Telekom Laboratories, DE

PROGRAMME COMMITTEE
- Andrew Campbell, Dartmouth College, US
- Guanling Chen, University of Massachusetts Lowell, US
- Jon Crowcroft, University of Cambridge, UK
- Fernando Esponda, Instituto Tecnologico Autonomo de Mexico, MX
- Xiaoming Fu, University of Goettingen, DE
- Pan Hui, Deutsche Telekom Laboratories, DE
- Vassilis Kostakos, University of Madeira, PT
- David Kotz, Dartmouth College, US
- Anders Lindgren, Swedish Institute of Computer Science, SE
- Iqbal Mohomed, Microsoft Research, US
- Richard Mortier, University of Nottingham, UK
- Mirco Musolesi, University of St Andrews, UK
- Andrea Passarella, CNR-IIT, IT
- Michal Piorkowski, EPFL, CH
- Cigdem Sengul, TU Berlin, DE
- Chuan Wu, University of Hong Kong, CN