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6702 Topics in Computational Sustainability

6702 Topics in Computational Sustainability. Spring 2013. Administrative Organization 6702 Overview Computational Sustainability 6702 topics Examples of Computational Sustainability Projects Schedule. Administrative Organization. Format of 6702.

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6702 Topics in Computational Sustainability

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  1. 6702 Topics in Computational Sustainability Spring 2013

  2. Administrative Organization • 6702 Overview • Computational Sustainability • 6702 topics • Examples of Computational Sustainability Projects • Schedule

  3. Administrative Organization

  4. Format of 6702 • Focus of 6702 --- new research area of computational sustainability • Projected-oriented course: get insights towards the understanding of the boundaries and central methodologies in Computational Sustainability. Identify interesting research questions in computational sustainability. • Given the highly multi-disciplinary nature of Computational Sustainability , there will be several guest lecturers representing various disciplines.

  5. Format of 6702 • Discussion / seminar course with a project – your participation in class is very important! • Different contributions to the course depending on students’ backgrounds and interests.

  6. Administrative Organization Instructors: Carla Gomes Other Faculty and Researchers : Jon Conrad, Theo Damoulas, and BistraDilkina other faculty as guest lectures. Course Assistants: Ronan Le Bras (CS) and Ryan Finseth (Appl. Economics) Given the multi-disciplinary nature of the material, the course will include several guest lecturers representing various disciplines. Grade options and credits: Letter or S/U; 4 credits Web page: http://www.cs.cornell.edu/Courses/cs6702/2013sp/

  7. Course Work The course work consists of three  components: • Attendance and participation in the talks • A reaction paper based on one or two papers on a particular computational sustainability topic or a description of a research problem you are interested in. • A presentation to the class (based on 2). • A final project, including an initial project proposal. Grade option: 1, 2, 3, and 4 required. S/U option: 1, 2, and 3 required. Students are encouraged to form interdisciplinary groups.  

  8. Reaction Paper/Presentation Getting your feet wet! The reaction papers/presentation are meant to identify and discuss  one or two interesting computational research questions  concerning a certain sustainability topic. Often it involves identifying and reviewing a few papers on a certain topic. The reaction paper should be around 2-3 pages in length (You will present it in class) The reaction paper is due on February 19.th (via email to the TA’s) Faculty team and TA’s will help with the different phases of the project starting with finding the right topic for you!

  9. Project The selection of the topic and scope of the final project is mainly up to the student(s).  A short project proposal (2 pages) briefly outlining the project is required. The project proposal should provide background work and a highlevel plan for the project. (It’s okay to leverage from the reaction paper if the project is an extension of the reaction paper. In that case the proposal should outline how to extend the ideas in the reaction paper.) The project proposal will be due on March 1st. Project presentations will be schedule during the last month of classes. Faculty team and TA’s will help with the different phases of the project starting with finding the right topic for you!

  10. Course Mechanics Lectures Guest Lectures Special Guest Lectures: Occasional CompSust talks at AI seminar and/or ICS Talks Project Meetings Reaction Paper – presentations in class by st Project Presentations Reaction paper write-up due Feb 14th Project Proposal due Mar 1st

  11. Course Mechanics: Lectures Detailed description of some of our main projects Examples of Projects: Landscape connectivity Species Distributions Citizen Science for Bird Conservation Materials Discovery (e.g. for Fuel Cells) - phase map identification models and algorithms human computation Management of Batteries of Electrical Car models and algorithms crowdsourcing route data Management of Natural resources (e.g., forests and fisheries) Design of agronomic experiments Climate: impact of reforestation

  12. Course Mechanics: Lectures Detailed description of some of our main projects: -Informal description of the problem -Rigorous formulation of computational questions (including complexity results) -Description of novel methodologies introduced to address the questions: Description of model(s) Description of algorithms -Identification of other computational questions for the given domain -Identification of other domains in which the same problem abstraction applies

  13. Course Mechanics: Guest Lectures Lectures in class by an expert in a given domain e.g. Tuesday 29th – Games with a focus on computational sustainability; Feb 5th – Corwdsourcing Feb 7th – eBird and citizen science of bird conservation Other guest lectures

  14. Course Mechanics: Special Guest Lectures Outside Guest Speakers: CompSusttalks at AI seminar and/or ICS Talks Waiting for confirmations.

  15. Course Mechanics Reaction paper write-up due Feb 19th Reaction Paper – presentations in class by students Project Proposal due Mar 1st Project Presentations by students

  16. Course Mechanics:Project Meetings Students meet with instructor and/or TAs to discuss ideas for reaction paper and projects (in lieu of lecture) Meetings: 5160 Upson Hall Schedule the meeting ahead of time 1st date for project meetings: Tuesday Feb 12th. After Feb 14th regular project meetings on Thursdays. Reaction paper write-up due Feb 14th Project Proposal due Mar 1st

  17. Project Ideas • Description of a computational sustainability research problem • Novel Models:Biodiversity conservation - study some aspect of biodiversity conservation planning by creating an optimization model/technique with experSocioeconomic aspects of sustainability - How can economic incentives and sustainability coexist?  How do we address realistic concerns (e.g. discounting of future costs, tragedy of the commons). Mechanism design for conservation or carbon emission credits Data Modeling, simulation, and Analysis:Statistical/machine learning approaches for time-series spatially explicit data of land cover (for conservation or climate change prediction)Species Distribution Modeling - Machine learning techniques to obtain more accurate species distribution models from uncertain and missing data (Lab of Ornithology)Ecosystem Modeling - Population Dynamics in Networks (Co-evolution of Population, Networks)Modeling of Disease Outbreaks -  (Overlay with Google maps, Identify hotspots)

  18. Project Ideas • Network Sciecne: • Social Network Analysis of the Computational Sustainability community - use research paper citations to identify the key papers/people in computational sustainabilitySocial Network Analysis of the Computational Sustainability research topic - use research paper citations to to track the time series development of the research topic • Computer Games/Applications:Design a computer game that introduces some computational sustainability concept to kidsDesign an iPhone application addressed towards adults but with sustainability overtones (e.g. eco-SimCity) Design a Facebook game or application that allows individuals to receive social recognition by publicizing their eco-friendliness.Design a prediction market application for sustainability questions (i.e. predict the highest temperature for the next August)Design an artificial market for carbon emission credit • Extension of UrbanSim to incorporate a different  computational  model

  19. Project Ideas Citizen Science , Human Computation and Crowdsourcing (Mechanical Turk) eBird UDiscoverIt (Materials Discovery)

  20. Project Ideas Survey paper: Critical survey of methodologies to evaluate impacts of biofuels. Critical survey on approaches to quantifying biodiversity. Critical survey of incentives for CO2 offsetting addressing in particular computational issues. Critical survey of agent-based models for a particular topic – limitations and oppprtunities Critical survey of GIS systems for certain kinds of problems – limitations and opportunities Critical survey of UrbanSim

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