Abstract: Hydrological information about how much water is or will be available at any one place and time are vital for making decisions related to water management. However the four billion people living in the developing world typically lacks universal and free access to this information.
Taking the perspective of the semi-skilled consumer in the developing world, this talk will address the often-ignored issue, namely: how can massive volumes of water-specific satellite information be delivered to diverse communities around the world in a comprehendible, timely, affordable and impactful way?
Given the recent advancements made in computational and information technology, it is time to identify the proper technological and business models required to enable this empowerment.
His research interests comprise remote sensing applications, human impacts on water, sustainable water resources engineering, education and outreach. Currently he serves as an associate editor for Journal of Hydrometeorology and was recently the lead editor for the water encyclopedia. Abstract: In recent years, an increasing number of students have turned to online resources, such as massive open online courses MOOCs for learning. But while these online courses give teachers more coverage, student-teacher ratios can often be ten thousand to one or worse.
With such ratios, students no longer get the type of feedback they need to really understand the material. Codewebs is a system that I have been developing which addresses the problem of scalability in providing student feedback for online programming-intensive courses.
Codewebs analyzes a massive code corpora of historical student submissions and uses it to provide instant, useful and detailed student feedback to tens of thousands of students in the same course. By relying on a statistical approach, the quality of feedback increases as our system sees more data and the feedback is automatically tailored for each assignment.
Finally, I will highlight the emerging issues of scalability and sustainability of education, why these issues require insight from computer scientists and discuss specific problems in this domain that my future research program will address.
He completed his Ph. He received his B. His research interests lie primarily in statistical machine learning and reasoning with combinatorially structured data with applications such as analyzing real world education data. His research has resulted in a number of publications in premier machine learning conferences and journals, receiving a paper award in NIPS for his work on applying group theoretic Fourier analysis to probabilistic reasoning with permutations.
Abstract: We explore the feasibility of using commercial aircraft as sensors for observing weather phenomena at a continental scale. We focus specifically on the problem of wind forecasting and explore the use of machine learning and inference methods to harness air and ground speeds reported by aircraft at different locations and altitudes.
We validate the learned predictive model with a field study where we release an instrumented high-altitude balloon and compare the predicted trajectory with the sensed winds. The experiments show the promise of using airplane in flight as a large-scale sensor network. Beyond making predictions, we explore the guidance of sensing with value-of-information analyses, where we consider uncertainties and needs of sets of routes and maximize information value in light of the costs of acquiring data from airplanes.
The methods can be used to select ideal subsets of planes to serve as sensors and also to evaluate the value of requesting shifts in trajectories of flights for sensing.
His research focuses on machine learning with applications to computer vision, artificial intelligence, affective computing and Computer-Human interaction scenarios. Abstract: Much research has focused on studying complex phenomena through their reflection in social media, from drawing neighborhood boundaries to inferring relationships between medicines and diseases. While it is generally recognized in the social sciences that such studies should be conditioned on gender, time and other confounding factors, few of the studies that attempt to extract information from social media actually condition on such factors due to the difficulty in extracting these factors from naturalistic data and the added complexity of including them in analyses.
In this paper, we present a simple framework for specifying and implementing common social media analyses that makes it trivial to inspect and condition on contextual information. Our data—discussion graphs—captures both the structural features of relationships inferred from social media as well as the context of the discussions from which they are derived, such as who is participating in the discussions, when and where the discussions are occurring, and what else is being discussed in conjunction.
We implement our framework in DGT, and present case studies on its use. In particular, we show how analyses of neighborhoods and their boundaries based on geo-located social media data can have drastically varying results when conditioned on gender and time.
His research includes foundations and infrastructure for better social media analysis, connecting social media to the real world, and social systems engineering. Emre received his Ph. Abstract: In contextual bandits, one observes the payoff for the chosen arm, but not the others. This counterfactual nature of the payoff leads to the difficulty of using historical data to evaluate a new arm-selection policy: when the new policy chooses an arm different from the one in the data, we simply do not have the payoff signal to do evaluation.
The challenge is ubiquitous in many learning-to-act problems such as online advertising and content recommendation. In this talk, we show how historical data can be collected properly to enable unbiased offline evaluation of a policy only from the collected data, and demonstrate accuracy and reliability with a case study at Microsoft Bing. Bio: Lihong Li is a machine-learning researcher at Microsoft Research.
Prior to joining Microsoft, he was a Research Scientist at Yahoo! His main research interests are in machine learning with interaction, including reinforcement learning, multi-armed bandits, and their numerous applications in the big-data era. Expert in cloud computing and web development. Serial entrepreneur since Abstract: Technology is a powerful enabler for whole community responses to natural disaster.
Since the Haiti and Chile earthquakes in , the role and capabilities of technology to enable rapid dissemination of vital information have grown exponentially.
To visualize how technology has advanced humanitarian response and role it will likely play in the future, we will look at the current state of innovations that were sparked in , examine the potential of emerging technologies, and discuss our strategy to drive the next advancements in response technologies. Included will be a review of TV White Space and Skype low-bandwidth as examples of emerging technologies that are already beginning to deliver key capabilities.
We will also present the Humanitarian Toolbox and Connectivity Center as examples of our approach to developing new technology offerings through distributed development and partnerships. Together, responders, communities and private sector organizations will shape the future of humanitarian response. Bio: Harmony Mabrey is the Sr. Operations Manager for Microsoft Disaster Response. She has managed global operations and partnerships for more than five years, leading cross-company coordination of the Microsoft response to conduct impact assessments, identify opportunities to assist and deliver technology that connects citizens, enables responders, and supports recovery of our customers.
Microsoft Disaster Response msftresponse is a citizenship-based program that focuses on delivery of technologies and expertise to address key challenges in times of disaster. Presentation title: Accelerating innovation in home technology development using Lab of Things.
Abstract: A range of compelling applications in the home, from security to health care to energy reduction, can be enabled by connected devices for example, sensors. But experimental work on these applications is hampered by two challenges: 1 considerable custom engineering is required to ensure that hardware and software prototypes work robustly; and 2 recruiting and managing more than a handful of homes is difficult and cost-prohibitive. LoT Home will consist of a large number of geographically distributed homes, each running a common framework for implementing experimental applications.
Participating research groups recruit and contribute a small number of homes, and in return, they can run experiments on homes recruited by others. I will describe the design of LoT Home and what it takes to conduct experiments using it.
His research interests include all aspects of networked systems. His current work focuses on smart home technologies, software-defined networks, and network verification, and his past work spans Internet routing and measurements, incentive-compatible protocol design, practical models for wireless networks, and vehicular networks.
He obtained his Ph. Abstract: Microsoft Research has as its core mission to advance the state of the art in computer science and related field, and to bring the resulting innovations to Microsoft products and services. To help accelerate the transfer of research results into tangible innovations, Microsoft Research has a set of applied research groups, which we call Advanced Technology Labs ATL.
With four locations in Munich, Cairo, Herzliya, and Rio de Janeiro, the ATL organization has contributed significantly to the development of new products and services, in many cases inspired by local scenarios, but with an ultimate goal of local impact. He was born and raised in Brazil. When he joined Microsoft in , Rico started a signal processing group, which developed new technologies such as new media compression formats used in Windows, Xbox, and Office, microphone array processing technologies used in Windows, Tablet PCs, and Xbox Kinect, as well as machine learning technologies for music identification in Windows Media, junk mail filtering in Exchange, and others.
The group also developed the first prototype of the RoundTable videoconferencing device. Rico received a Ph. His technical interests include multimedia signal compression and enhancement, fast algorithms, multi-rate filter banks, and multi-resolution and wavelet transforms. He has over publications and over issued patents in those areas. Traditional policies to promote cooperation involve Pigouvian taxation or subsidies that make individuals internalize the externality they incur.
The mechanism relies on a joint model of externalities and peer-pressure. Surprisingly, this mechanism can require a lower budget to operate than the Pigouvian mechanism, even when accounting for the social cost of peer pressure. Even when the available budget is very low, the social mechanisms achieve greater improvement in the outcome. We report evidence that social mechanism performs better than Pigouvian mechanism in the real world from an experiment targeted to promote physical activity and an experiment to promote energy conservation.
In particular he focuses on analysis and design on networked socio-technical systems. Abstract: Examination of mobile search logs reveals that search engines are being used in time-critical situations, often in cases more appropriately handled by emergency services. Search engines today do not provide any specific assistance for users in this state.
Content from domains such as Wikipedia and Mayo Clinic are currently favored. Such pages are more suitable in information-seeking settings, and not urgent settings. Leveraging surveys and mobile search logs, we a characterize the use of search engines for time-critical situations, and b develop predictive models to accurately predict urgent information needs, given a query and a diverse set of features spanning topical, temporal, behavioral, and geospatial attributes.
We conclude with a demo showing how our findings can be integrated into the search experience. And before that she held a joint appointment as a researcher at Hewlett-Packard labs and a visiting faculty member at Stanford University. Abstract: The creation and maintenance of mobile applications is a complex process, involving a set of technologies ranging from an application programming language and integrated development environment IDE , through the deployment and update models of the various app stores, to a cloud back end that stores user and telemetry data with its own programming language and a variety of hosting issues.
I will illustrate these principles with TouchDevelop, a streamlined, cross-platform, browser-based programming environment. I will describe the design of TouchDevelop and the use of automation at various points to make it easy for the three parties to communicate and give feedback to one another.
As we will show through our analysis of three years of deployment of TouchDevelop to hundreds of thousands of users, much of the design can inform other approaches to cloud-based software engineering. Presentation title: Use of Technology in Education:. Abstract: Education sector is going through a change worldwide. Technology has enabled students to learn from the best teachers in the world and have access to information at their fingertips. Many institutions worldwide are experimenting with these technologies to understand what works best for them.
Technology enabled teaching, learning, and monitoring progress brings a new paradigm in pedagogy. It needs participation from government, institutions specifically management, faculty, students, and industry to bring about the change. She heads Microsoft Research Connections, which aims to strengthen the computer science research eco-system in India.
Vidya works extensively with industry, government and academia both within and outside India. The Microsoft Research Connections team at Microsoft Research India focuses on capacity building, research collaborations, programs to address societal challenges and empower communities with tools and technologies. In addition, the team works with industry to encourage innovation.
Prior to joining Microsoft, Vidya worked with a number of leading IT companies as a communications consultant where she has been instrumental in defining communications and business strategies. Abstract: Many regions of the world are limited in various ways as they face the challenges of managing water resources such as drought, flood, water quality, and distribution.
Among the greatest of these problems is simply a lack of information that can be used to understand meteorological and hydrological phenomenon so that sound decisions can be made. Barriers to better data management include:. New standards-based, open source tools and a growing community of scientists willing to make data and software tools for water information available will be described with applications in Latin America.
A concept for building on these tools to develop an Ibero American regional water data-sharing repository will be presented. He has held a full time faculty appointment in the Civil and Environmental Engineering Department of BYU since and teaches courses in computing, surveying, hydrology and hydrologic modeling, and geographic information systems while continuing his research.
He has worked extensively in Latin American, leading study abroad activities to conduct student-led projects and research in many countries including Chile, Mexico, and the Dominican Republic. His research has resulted in the development of the Watershed Modeling System WMS that assists engineers in developing hydrologic models from digital elevation, soils, land use, and other electronic sources.
His work with WMS has pioneered tools in automated watershed delineation and spatial hydrologic analysis using geographic information systems.
WMS has been distributed to government, private, and university institutions in more than countries. Most recently he has worked on funded research from NSF to improve cyber infrastructure for water resources modeling that includes standards-based system for water information collection, storage, analysis, and dissemination. Abstract: Advances in mobile and embedded computing are driving a revolutionary change in the way people communicate, interact, and work with each other.
The combination of mobile and embedded computing systematically brings on new research trends and questions. The aim of this MakerSpace is to create a zone of self-directed learning, providing a laboratory for inquiry-based learning and primarily used for technological experimentation, hardware development, and idea prototyping.
In this session, we will show our experience and lessons learned in developing and prototyping connected devices. He received his Ph. His research interests include mobile computing, software engineering and computer supported collaborative work.
He has published several papers in conferences proceedings and journals in these research areas. Abstract: While investment in technology for learning continues to increase, studies still do not reveal any significant improvements in learning. Simply providing a computer or technological devices to children does not lead to an improvement in learning.
In this presentation we look at which elements must be considered when introducing digital resources to improve learning. He has published more than 70 articles in ISI journals, received over 2, citations for his research papers, and successfully guided 17 students to their doctorates as dissertation advisor.
His work in instructional design, which integrates the use of technology, is focused on how to change teaching practices in the classroom to make children the protagonists of their learning experience.
He also studies the use of educational games and multimedia in the classroom, and school effectiveness. My research interests are society-environment interactions, citizen science, and landscape ecology. I am working on several interdisciplinary projects related to wildlife ecology and management, social sciences, computer science, and public-science relations. Presentation title: Extracting social knowledge from microblogs. Abstract: The rise of online social networks has massified the notion that Web users are active publishers of their own content.
Users now constantly share pictures, videos and their objective and subjective perceptions of the world they live in. In particular, microblog platforms such as Twitter have made online social networks an extremely rapid environment for disseminating, almost in real-time, news and personal experiences. The democratization of content publication has brought several new challenges, among these, the analysis of large volumes of streaming data and the understanding of higher level abstractions such as sentiment, opinions and events.
In this talk, I will discuss some examples of how social knowledge can be extracted from microblog content, including credibility prediction, event detection, and the analysis of cultural differences between countries.
She received her Engineering and M. She worked as a researcher at Yahoo Labs Santiago and later joined the University of Chile where she holds her current position. In addition, she is one of the organizers in the annual Celebration of Women in Computing in Chile. He collaborates with academic partners and teams at Microsoft to build solutions that address needs from the research community or showcase new technologies. With over 10, current users across eight different universities, MEC provides a platform and an opportunity for researchers to better understand the future of online education.
In his current role, he works with external collaborators, research organizations, and academia to improve the state of the art in computer science and build strong research communities. He is very interested in research in education and is currently working on a couple of projects in this area. Prior to joining Microsoft Research, Siddharth worked as an academic developer evangelist with Microsoft India.
Abstract: In this talk, I describe two closely related ideas with impact in Ecology and Environment. The first is to model fluids as deformable patterns. This allows solutions to difficult geophysical inference problems essential to understanding our planet.
The second idea is to model pattern deformations as turbulent fluids in a way that makes them amenable to object recognition. Contributions in over 75 published articles have been made in the areas of Cooperative autonomous observation caos. He is the Co-founder of Windrisktech LLC, which uses machine learning and physics to improve estimates of hurricane risk. The array is composed of 66 precision telescopes on the Chajnantor plateau at 5, meters altitude in northern Chile. I will provide an overview of this new observatory and show some very recent results from my research showing exciting signs of star formation near the very center of our galaxy.
This new discovery is important as it shows that stars can form very close to the massive black hole at the very center of our galaxy; the black hole is more than 4 million times the mass of the Sun.
Roberts uses scientific visualization, including WWT, to interpret his own research and communicate it to professional and public audiences. As a new member of the WWT team, he is a liaison between Microsoft Research and the planetarium, astronomical research and informal learning communities. He is keen on connecting research and outreach activities and developing the visualization innovations necessary to bring them together.
Abstract: Various research domains require deploying connected devices and sensors to research data. These research domains include healthcare, energy management, sensor design, to name a few. Nina Mishra's Home Page. My research interests are in data science, data mining, web search, machine learning and privacy. The projects that I pursue encompass the design and evaluation of new data mining algorithms on real, colossal-sized datasets.
My research publications received external recognition: best paper award nomination, algorithm in Wikipedia and taught in graduate courses around the world. I've been granted 14 patent applications with a dozen more still in the application stage. I've had the distinct privilege of helping others advance in their careers, including 15 summer interns and many full-time researchers. I taught several courses at Stanford University and the University of Virginia. Software Eng , vol. Clustering Data Streams: Theory and Practice.
ICDE, Program Chair. Program Committees. Alle anzeigen. Jason D. Research Scientist, Google. Machine Learning. Advances in neural information processing systems 20 20 , , Proceedings of the 25th international conference on Machine learning, , Advances in Neural Information Processing Systems 27, ,
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