Research Challenges: Difference between revisions

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  We have created a shared google doc. You will need to login to docs.google.com to access
* Network Analysis and Visual Analytics
this document.
  Coordinators: Bill Ribarsky and  Akhtarur Siddique
Please email louiqa@umiacs.umd.edu if you cannot access it.
[https://docs.google.com/present/edit?id=0ATTeYQSh4QTsZGQzaGc3ODlfOWhtNnBnc2Rz]
 
There will be 2 90 minute Research Challenge sessions on Thursday and Friday afternoon.
We have identified 5 themes for multi-disciplinary / computational research.
Participants must indicate their interest in participation in at most 2 themes - primary and secondary.
Depending on the response we may choose to conduct all 5 themes in parallel over both
sessions or design an alternative scenario.
Participants are also free to propose additional multi-disciplinary themes or propose
merging or splitting themes.
 
* Network Analysis and Visual Analytics and Machine Learning and Prediction
  ''Coordinators: Bill Ribarsky and  Akhtarur Siddique and Amitabh Varshney''
  - Network analysis and clustering and prediction
  - Network analysis and clustering and prediction
  - Latent variables and hidden networks and hypergraphs
  - Latent variables and hidden networks and hypergraphs
  - Network evolution
  - Network evolution
  - Agent based models
  - Information visualization pertaining to systemic risk
[[Media:Session1.doc]]


* Contractual reasoning and semantics and taxonomies
* Contractual Reasoning and Semantics and Taxonomies and Metadata
  Coordinators: Benjamin Grosof and Leora Morgenstern and Andreas Cali
  ''Coordinators: Benjamin Grosof and Leora Morgenstern and Andreas Cali and Frank Olken''
  - Parsimonious representation of a financial contract
  - Parsimonious/machine representation of a financial contract
  - Contract evolution
  - Contract evolution
  - Data models and schema and metadata and schema.
  - Data models and schema.
  - Taxonomies and ontologies and polyhierarchies
- Metadata
  - Taxonomies and ontologies and poly-hierarchies
- Validation and reasoning
- [[Media:Session2.txt]]


* Information integration and entity resolution and information quality
* Information Integration and Entity Resolution and Information Quality
  Coordinators: Lucian Popa and Joe Langsam and Mark Flood and Bill Nichols
  ''Coordinators: Lucian Popa and Joe Langsam and Rachel Pottinger''
  - Human language technologies and document collections
  - Human language technologies and document collections
  - Information extraction
  - Information extraction
- LEI and post LEI challenges
  - Entity resolution
  - Entity resolution
- [[Media:Session3.doc]]


* Social media and crowdsourcing and market mechanisms
* Social Media and Crowdsourcing and Markets
  Coordinators: Johannes Gehrke and Louiqa Raschid and Michael Wellman
  ''Coordinators: Johannes Gehrke and Louiqa Raschid and Michael Wellman''
  -  
  - Social media modeling and prediction
  -  
  - Crowdsourcing
  -  
  - Market mechanisms
* Metadata and model representation and model management
  - Prediction markets
  Coordinators: Phil Bernstein and H.V. Jagadish
  - Agent based models
  -  
  - [[Media:Session4.txt]]
  -  
  -  


This is a shared google doc. You need to email me (louiqa@umiacs.umd.edu) your account that can access docs.google.com .
* Model Representation and Model Management
[https://docs.google.com/present/edit?id=0ATTeYQSh4QTsZGQzaGc3ODlfOWhtNnBnc2Rz]
''Coordinators: Phil Bernstein and H.V. Jagadish and Amol Deshpande and Pete Kyle''
- Data models and schema and metadata
- Representing financial models as first-class data objects
- Reconciling different perspectives in representation: financial, accounting, legal, …
- Error correction, and propagation of corrections through derived data
- Privacy
- [[Media:Session5.doc]]

Latest revision as of 18:20, 27 July 2012

We have created a shared google doc. You will need to login to docs.google.com to access 
this document.
Please email louiqa@umiacs.umd.edu if you cannot access it.
[1]
There will be 2 90 minute Research Challenge sessions on Thursday and Friday afternoon.
We have identified 5 themes for multi-disciplinary / computational research.
Participants must indicate their interest in participation in at most 2 themes - primary and secondary. 
Depending on the response we may choose to conduct all 5 themes in parallel over both 
sessions or design an alternative scenario.
Participants are also free to propose additional multi-disciplinary themes or propose
merging or splitting themes.
  • Network Analysis and Visual Analytics and Machine Learning and Prediction
Coordinators: Bill Ribarsky and  Akhtarur Siddique and Amitabh Varshney
- Network analysis and clustering and prediction
- Latent variables and hidden networks and hypergraphs
- Network evolution
- Information visualization pertaining to systemic risk
Media:Session1.doc
  • Contractual Reasoning and Semantics and Taxonomies and Metadata
Coordinators: Benjamin Grosof and Leora Morgenstern and Andreas Cali and Frank Olken
- Parsimonious/machine representation of a financial contract
- Contract evolution
- Data models and schema.
- Metadata
- Taxonomies and ontologies and poly-hierarchies
- Validation and reasoning
- Media:Session2.txt
  • Information Integration and Entity Resolution and Information Quality
Coordinators: Lucian Popa and Joe Langsam and Rachel Pottinger
- Human language technologies and document collections
- Information extraction
- LEI and post LEI challenges
- Entity resolution
- Media:Session3.doc
  • Social Media and Crowdsourcing and Markets
Coordinators: Johannes Gehrke and Louiqa Raschid and Michael Wellman
- Social media modeling and prediction
- Crowdsourcing
- Market mechanisms
- Prediction markets
- Agent based models
- Media:Session4.txt
  • Model Representation and Model Management
Coordinators: Phil Bernstein and H.V. Jagadish and Amol Deshpande and Pete Kyle
- Data models and schema and metadata
- Representing financial models as first-class data objects
- Reconciling different perspectives in representation: financial, accounting, legal, …
- Error correction, and propagation of corrections through derived data
- Privacy
- Media:Session5.doc