News

[23 July 2015] Tutorial slides are available on slideshare. (Backup location: Google drive)

[15 Feb 2015] Tutorial site is up.

Description

In recent years, AI techniques have made tremendous progress in delivering high-quality analysis (e.g., predictions, optimizations) efficiently with large data at scale. However, to turn these advances into innovations rapidly needs the ability to tap into data freely available, use web standards to integrate and compose with sub-systems seamlessly and provide useful insights that can be further reused. A domain that calls for many rapid innovations is Smarter Cities, where cities around the world are aspiring to provide superior quality of life to their citizens while optimizing their cumulative resource footprint.

The aim of the tutorial is to make early and experienced researchers aware of the innovation potential with government and other open data, application programming interfaces (APIs) and AI techniques that enable deep analysis to deliver actionable, unprecedented insights. This area offers a rich avenue for applying AI techniques like machine learning, planning, scheduling, semantics, knowledge representation, data integration, logic, trust and agents. We aim to provide an insightful overview and whet the audiences’ interest to turn their research into useful, innovative, apps that are used for social good.

Content

The topics we will cover are:

1. Motivation
   1. Societal Challenges
   2. Innovations v/s inventions: selecting idea that matter and have least barriers to adoption
   3. New Triggers – Open data including from government, internet as development platform, mobile for delivering IT-based innovations
   4. Opportunities for social innovations using AI techniques and their common patterns

i. Health – predicting and managing diseases

ii. Traffic – journey recommendation

iii. Tourism – event management for long-term sustainability

1. Open Data
   1. Open Data background – history and what is different now
   2. Peek into select government open data sites:

i. Country-level - data.gov, data.gov.in, and

ii. City-level – Chicago, London

1. Opportunities and challenges in working with open government data
1. Semantic Web and Open Data
   1. Need for semantics in the context of open data
   2. Linked Open Data, Linked Data with CitySDK
   3. SCRIBE ontology for city-level business events and applications
2. APIs and their Composition
   1. Basics – Web APIs, Web Services, Services Oriented Architecture
   2. Importance of Web APIs for enterprise integration
   3. APIs usage with a national government open data
   4. APIs usage with city government open data

i. Open 311 APIs

ii. CitySDK APIs

1. Tools for working with APIs
1. AI-based analysis with open data
   1. Different types of analyses – descriptive, predictive, prescriptive
   2. Predictive analysis with machine learning
   3. Ontology and data integration
   4. Open-world decision making and planning
2. Case Studies and Apps
   1. 1^st and 2^nd generation civic apps with government open data
   2. Examples in Health – predicting and managing diseases
   3. Examples in Traffic – journey recommendation
   4. Examples in Tourism – event management for long-term sustainability
3. Practical considerations
   1. Going beyond open data – integrating with social and enterprise data
   2. API catalogs
   3. Anatomy of select apps available with open data and deep analysis
   4. Organizing and participating in Hackathons

The AI topics we will cover are:

1. Data integration
2. Semantics, knowledge representation and ontologies
3. Machine learning
4. Planning, plan management
5. Trust and reputation
6. Optimization
7. Agent coordination
8. Visualization, HCI

Duration

The tutorial will run for half day.

Organizer

Biplav Srivastava, IBM Research - India, New Delhi; Email: sbiplav AT in.ibm.com