1 INLS890 Evidence-Based Discovery Spring, 2009 Catherine Blake, Ph.D

2 Today Introductions Administration Course Structure Learning Objectives Assessment Motivation

3 Introductions Dr Catherine Blake – - –Office - 214A Manning Hall Lecture Time –214 Manning Hall –Thurs 5:00-7:30pm Office Time – – anytime –By Appointment – Tues and Wed

4 Operational Details Web Page – –Username = ebd Password = spr2009 –Fastest response time –Please from your UNC account –Start the subject with INLS890 University Honor Code is in effect

Course Objectives This course combines theoretical models from discovery science, with a survey of informatics tools that support discovery. The seminar will show-case the discovery process via a lecture series comprising both discipline and policy champions and thus reveal the synergy between synthesis and discovery and the need for interdisciplinary collaboration. 5

Theory Theme Kuhn –Normal versus Revolutionary Science –Abnormalities Chalmers –Observation –Falsification Information Quality –Meta-analysis –Information quality 6

7 Informatics Theme Language tools –Information Extraction- Text Mining –Document Summarization- Entailment Social Networking –Bibliometrics- Visualizations Workflow –Myexperiment Domain specific software –Chrystallography- BLAST

Practice Theme Synthesis –Timothy S. Carey, MD, MPH Sarah Graham Kenan Professor of Medicine Director, Cecil G Sheps Center for Health Services Research –Ila Cote, PhD, DABT Acting Division Director US Environmental Protection Agency National Center for Environmental Assessment Discovery –Paul Jones Clinical Associate Professor School of Information and Library Science Director of ibiblio.org Michael T Crimmins PhD. Mary Ann Smith Distinguished Professor of Chemistry UNC and Department Chair Department of Chemistry –Rudy L Juliano PhD. Boshamer Distinguished Professor of Pharmacology Principal Investigator, Carolina Center of Cancer Nanotechnology Excellence 8

Practice Theme Discovery –Robert C Millikan DVM PhD Barbara Sorenson Hulka Distinguished Professor Department of Epidemiology School of Public Health –Jan F. Prins PhD. Professor of Computer Science and Chairman, Department of Computer Science –Alexander Tropsha, Ph.D. Professor and Chair Director, Laboratory for Molecular Modeling –Suzanne West, PhD Research Associate Professor Department of Epidemiology Acting Director, UNC-GSK Center of Excellence in Pharmacoepidemiology and Public Health To be confirmed –Humanities Scholar –Steven W. Matson Ph.D. Professor and Chair Department of Biology 9

Typical Class Structure Before class (All): Post expert questions First Hour –Presentation by domain expert –Anointed domain expert – engage the presenter ! Second Hour –Anointed informatics expert - present technologies –Discuss the intersection between theory, practice and informatics Last 30 mins –Anointed domain expert – introduce next expert 10

Assignments Informatics Review –What domain specific tools are used in your discipline ? –What generic tools exist for your discipline Information extraction Text mining tool kits –Post results to the wiki 11

Assignments Engage the presenter –Introduce the presenter the week before –Read their materials ahead of time –Find out what else they do –Give us any context you can about the person –What are the key journals in the field 12

Assignment Gap analysis –What informatics tools work in your discipline ? –What gaps exist between the academic work being done by these researchers and the informatics tools that are currently available ? 13

Assignments Scientific practice in your domain –Conduct Interviews –Transcribe the interviews –Summarize your findings Group activities Create wiki Review questions Submit IRB Keep track of reference 14

Dissemination –How are we going to get this to people in the field ? Health Science Library Paper in their conference Face to face visits … what other mechanisms 15

Assignments Class participation –Read the assigned readings –Participate in class discussion –Contribute to the wiki 16

17 Assessment Class Participation 20% –Attendance and contributions to discussion Informatics Review 20% Introducing and Engaging your speaker20% Gap Analysis –Data collection activities 10% –Final report 20% Class contributions10%

18 Questions, Issues, Comments ?

19 Why are you here ?

20 Motivation Massive increase in electronic text –MEDLINE Abstracts from more than 5,000 journals Current: more than 17 million citations Growth: ~12000 new citations every week –Chemistry – more than 110,000 articles in 2002 alone Consequences –Hundreds of thousands of relevant articles –Implicit connections between literature go unnoticed Source: MEDLINE factsheet Source: Calculated from ISI’s 418 highest ranked chemistry articles Shift focus from Retrieval to Synthesis

21 Information Overload “One of the diseases of this age is the multiplicity of books; they doth so overcharge the world that it is not able to digest the abundance of idle matter that is every day hatched and brought forth into the world” - Barnaby Rich, 1613

22 Existing Text Mining SAS Text Miner (Association Rules) IBM Intelligent Miner for text (Clustering) Clustering Categorization Association Rules

23 Example Pattern : Decision Tree  person P, P.degree = masters and P.income > 75,000  P.credit = excellent

24 Kohonen Maps Articles represented as vectors Assign n random articles Assign remaining articles to closest cluster Snowy peaks indicate highly funded research NCI-funded research 1995-present Blake,C and Tengs,T (2001) “The Nation’ Breast Cancer Research Portfolio: A view from 30,000 feet”, Avon Symposium, UC Irvine.

25 Knowledge Discovery in Literature Target Literature A Magnesium Source Literature C Migraine B-Calcium Channel Blockers B-Platelet Activity B-Serotonin... Swanson, DR (1988) “Migraine and magnesium: eleven neglected connections”, Perspect. Biol. Med., 31: Blake, C. & Pratt, W. (2002). A Semantic Approach to Identify Candidate Treatments from Existing Medical Literature. In AAAI Symposium on Knowledge-based Approaches, Stanford, CA.