NSF Workshop on Discovery Informatics

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Nov 5, 2013 (3 years and 10 months ago)

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Discovery Informatics Workshop


February 2
-
3, 2012

NSF Workshop on Discovery Informatics


Vasant Honavar

Program Director

Information & Intelligent Systems (IIS) Division

Computer & Information Science & Engineering (CISE) Directorate

National Science Foundation

vhonavar@nsf.gov


Discovery Informatics Workshop


February 2
-
3, 2012

A Cartoon of the scientific process

Model

Data

Hypotheses

Predictions

Deduction

Observation

Experimentation


Induction

Abduction

Review, Replication, Communication, Publication

Synthesis, Integration

Background

Knowledge

Discovery Informatics Workshop


February 2
-
3, 2012

Current State of Scientific Discovery


Increasingly sophisticated instruments of observation


Increasing automation of


Data acquisition e.g., using robotic instruments e.g., for
measuring gene expression, etc.


Aspects of data analysis e.g., using statistical machine
learning to build predictive models from data


Exponential increase in


Databases


Scientific literature


Ontologies

and Knowledge Bases


Analysis tools

Discovery Informatics Workshop


February 2
-
3, 2012

Current State of Scientific Discovery

Humans still largely responsible for


Generating and prioritizing questions


Designing and prioritizing experiments


Interpreting results


Forming hypotheses


Drawing conclusions


Replicating studies


Documenting studies


Communicating results


Reviewing results


Integrating results into the larger body of knowledge


Discovery Informatics Workshop


February 2
-
3, 2012

Ross King’s robot scientist Adam gives a glimpse of
some possibilities

http://www.wired.com/wiredscience/2011/04/robot
-
scientist
-
language/

Discovery Informatics Workshop


February 2
-
3, 2012

Science 3 April 2009: Vol. 324 no. 5923 pp. 85
-
89

The Automation of Science


Ross D. King,
Jem

Rowland, Stephen G. Oliver, Michael Young, Wayne Aubrey,
Emma Byrne, Maria
Liakata
, Magdalena Markham, Pinar
Pir
, Larisa N.
Soldatova
,
Andrew
Sparkes
, Kenneth E. Whelan and Amanda Clare


ABSTRACT

The basis of science is the hypothetico
-
deductive method and the recording
of experiments in sufficient detail to enable reproducibility. We report the
development of Robot Scientist “Adam,” which advances the automation of
both. Adam has autonomously generated functional genomics hypotheses
about the yeast Saccharomyces cerevisiae and experimentally tested these
hypotheses by using laboratory automation. We have confirmed Adam's
conclusions through manual experiments. …

Discovery Informatics Workshop


February 2
-
3, 2012

Goals of the Workshop



Identify research challenges in Discovery Informatics


Computational modeling of discovery processes


Supporting efficient experimentation and discovery


Enabling collaborative and integrative discovery


Identify opportunities for advancing Discovery Informatics
through research in AI, Informatics, and Robotics


Foster a Discovery Informatics Research Community

Discovery Informatics Workshop


February 2
-
3, 2012

A Cartoon of the scientific process

Model

Data

Hypotheses

Predictions

Deduction

Observation

Experimentation


Induction

Abduction

Review, Replication, Communication, Publication

Synthesis, Integration

Background

Knowledge

Discovery Informatics Workshop


February 2
-
3, 2012

Supporting efficient experimentation and discovery

How to facilitate


Identifying and prioritizing questions


Gathering facts and background knowledge e.g., through machine reading


Generating hypotheses from knowledge and data


Designing and prioritizing experiments


Building predictive or causal models from knowledge and data


Communicating models, hypotheses, predictions, and observations


Generating predictions


Testing predictions


Documenting and sharing workflows


Reproducing studies


Collaborating with humans and robots



Discovery Informatics Workshop


February 2
-
3, 2012

Thanks


To Yolanda Gil and
Haym

Hirsh for organizing the workshop


To the invited attendees from academia and industry for
attending the workshop


To my NSF IIS colleagues for supporting the workshop


Le
Gruenwald


Maria
Zemankova


Sylvia Spengler


Petros

Drineas


To the program managers from NSF, DARPA, DOE, ONR, IARPA,
NIH, NITRD for their strong show of interest