Microsoft Research

To manage the planet on which we all depend, we need to predict the future outcome of various options. How would biofuel subsidies affect crop prices affect deforestation?

We describe a possible data science curricula based on discussions at Indiana University and experience with our Informatics, Computer Science and Library&Information Science programs.

3:30PM ΓÇô 5:10PM Session 6 Chair: David Eppstein Topics By: E. M. Kornaropoulos and I. G. Tollis D. Bremner, W. Evans, F. Frati, L. Heyer, S. G. Kobourov, W. Lenhart, G. Liotta, D. Rappaport, and S.

The term data-scientist is becoming prevalent in science, engineering, business and industry.

Connecting Research with Education: 20 research scenarios that require new computational practice [Y. Xu et al.] 9:00 - 12:00 A Roundtable Discussion: Experiences, Ideas, and Educational Scenarios

9:00 ΓÇô 10:30 Session 7 Chair: Michael Kaufmann Topics By G. Betz, C. Doll, A. Gemsa, I. Rutter, and D. Wagner M. Chimani, and R. Zeranski S. Alamdari, T. M. Chan, E. Grant, A. Lubiw, and V.

We describe our work to improve the quality and utility of citizen science contributions to eBird, arguably the largest biodiversity data collection project in existence.

Public participation in scientific research takes many forms: participation of volunteers in citizen science projects, monitoring of natural resources and phenomena, volunteering of computational

Data scientists play active roles in the design and implementation work of four related areas: data architecture, data acquisition, data analysis, and data archiving.

Recent popularity of data science has led to increased recognition of the need for education and workforce development in data science.

For science to fully exploit digital data in new and innovative ways, research data will need to be collected, curated, and made accessible and usable across domains.

2:00 – 3:30 Session 9 Chair: Emden R. Gansner Topics By Christopher Auer, Christian Bachmaier, Franz J. Brandenburg, Andreas Gleißner, and Josef Reislhuber Martin Balko Kathrin Hanauer, Franz J.

11:10 ΓÇô 12:30 Session 5 Chair: Nathalie Henry Riche Topics by: M. Schaefer D. Archambault and H. Purchase S. Chaplick and T. Ueckerdt A. Sallaberry, C. Muelder, and K.-L. Ma, 12:30 ΓÇô 2:00 Lunch

The research life cycle is well known and consists of an initial idea or question that, if sound, leads to submission and funding of a proposal, implementation of a study and, ideally, to one or

eScience research increasingly involves the need to facilitate multi-scale problem solving that spans wide ranges in space and time scales.

We examine how participation in a microfinance program diffuses through social networks, using detailed demographic, social network, and participation data from 43 villages in South India.

11:00 ΓÇô 12:20 Session 8 Chair: Michael Kaufmann Topics By T. Tantau F. Frati, M. Glisse, W. Lenhart, G. Liotta, T. Mchedlidze, and R. I. Nishat A. Dumitrescu and C. T├│th 12:20 ΓÇô 2:00 Lunch

Examples of Scientific Applications and New Tools 2:50 - 3:10 The Australian SKA Pathfinder: New Data, New Paradigms [R. Norris] 3:10 - 3:30 HectoMap Project Design [M.

Microsoft Research – 12 августа 2016, 2:53

15:30 ΓÇô 17:10 Session 3 Chair: Stephen G. Kobourov Topics By: K. Klein and M. Chimani M. Gronemann and M. J├╝nger S. Alamdari and T. Biedl E. Di Giacomo, G. Liotta, and H. Meijer E. R. Gansner, Y.

One thing we have learned from our Archaeo-Data-Network is, that there is a need to split meta information of databases in two levels.

Host - Jim Pinkleman Layerscape: Tools for Collaborative Analysis of Complex Data Presenter: Rob Fatland, Microsoft Research Globus Online: Research Data Management as a Service Presenter: Ian

A growing number of todayΓÇÖs most relevant applications are served online and run in large-scale datacenters characterized by thousands of servers and multi-megawatt power budgets.

Increasingly, animal biologists are taking advantage of low cost micro-sensor technology, by deploying accelerometers to monitor the behaviour and movement of a broad range of species.

Modern machine learning theory formulates training of a classifier as minimization of an objective function which is the sum of two terms: the empirical risk which characterizes how well the

Distributed Opportunistic Scheduling (DOS) techniques have been recently proposed to improve the throughput performance of wireless networks.

11:10 ΓÇô 12:30 Session 2 Topics By M. Klimenta and U. Brandes M. J. Bannister, D. Eppstein, M. T. Goodrich, and L. Trott T. Bruckdorfer, S. Cornelsen, C. Gutwenger, M. Kaufmann, F. Montecchiani, M.

This talk examines negotiations over group privacy through a qualitative analysis of experiences of hosting strangers via Couchsurfing.org, a social network service focused on hospitality exchange.

I want to translate the Web into every major language: every webpage, every video, and, yes, even Justin Bieber's tweets.

8:50 – 9:00 Opening - Prof. Walter Didimo, Università degli Studi di Perugia 9:00 – 10:40 Session 1 Chair: Alexander Wolff Topics By: M. Sharir and A. Sheffer J. J. Fowler and S. G. Kobourov T.