Learn how Meta leverages world-leading AI originally created for U.S. Intelligence to provide innovation-driven companies with a privileged view of the future trajectories of science & technology.

1. Horizon Scanning
Background
Horizon Scanning
A novel approach to scanning the scientific,
technical and medical horizon for signs of
future emergence.

2. Horizon Scanning
Background
In the global life sciences
marketplace,

3. Horizon Scanning
Background
the ability to detect emerging
technologies that are still in their
infancy is a critical marker
for success.

4. Horizon Scanning
Background
Whether it’s identifying
early-stage in-licensing or
acquisition opportunities,

5. Horizon Scanning
Background
Identifying emerging
science and technology
for therapeutic and
product areas,

6. Horizon Scanning
Background
Or even increasing the
efficiency of existing
R&D pipelines.

7. 7
1.5M
biomedical papers
per year
However, with the rising pace of
global research output,
2.7M
patents applications
Per year

8. 8
too much data is being produced for
human efforts alone to interpret.

9. Horizon Scanning
Background
Analysts need new approaches to enable
them to continually scan for signs of scientific
and technical emergence.

10. Horizon Scanning
BackgroundComplete. Continual. Unbiased.

11. Meta Horizon Scanning
Predictive early awareness for science/IP

12. Horizon Scanning allows innovation-driven
companies to scan the entire corpus of
scientific and patent literature for signs of
technical emergence.

13. Identifying the emerging research
being worked on by the next big
PIs, academic medical centers and
early-stage start-ups.
Identifying early emergences in
drug discovery, drug therapy and
translational medicine.
Identifying opportunities for drug
repositioning, repurposing, and
rescue.
Here are just a few applications:

14. Meta Horizon Scanning was originally
developed for a U.S. National
Intelligence Program.
IARPA

15. The goal was to create “a crystal ball
for science and technology.”
IARPA

16. Horizon Scanning
Background
• 5 year U.S. intelligence program, SRI
International was prime contractor
• Goal - enable early reliable detection and
monitoring of technical emergence (Horizon
Scanning) through machine intelligence
• Scientific and patent literature (domestic
and foreign)
Past SRI Companies: SIRI (acq: Apple), TempoAI (acq: SalesForce), Redwood Robotics (acq: Google), Trap!T, Nuance

17. Meta Horizon Scanning is built upon
a central hypothesis:

18. Meta Horizon Scanning is built upon
a central hypothesis:
Real-world processes of technical emergence
leave discernable traces in the public, scientific,
and patent literature.
*
* Murdick, D.A “Foresight and Understanding from Scientific Exposition.” Office of the Director of National Intelligence.
https://www.iarpa.gov/index.php/research-programs/fuse Retrieved 19 July 2016.

19. Since change is a significant signal
of emergence,

20. then it should follow that those changes
could be mapped through semantic and
linguistic patterns in the literature,*
* Alexander, Jeffrey “A Reasoning-based Framework for the Computation of Technical Emergence.”
SRI International. GTM 2013. 25September 2013. p8.

21. and subtle signals of emerging technical areas
could be detected years in advance.

22. Meta Horizon Scanning leverages world-
leading AI to scan the scientific and technical
horizon at a speed and scale that far exceed
human ability.
*
Hemsoth, Nicole. “Why the Golden Age of Machine Learning is just Beginning.” The Next Platform. 20 October, 2015.
http://www.nextplatform.com/2015/10/20/why-the-golden-age-of-machine-learning-begins-now/ Retrieved 18 July 2016.

23. However, the key to success in Horizon
Scanning is not just in the power
of the algorithms, it is in having
access to the content.

24. Over the past five years, Meta has created
relationships with 40 of the world’s leading
scientific, technical and medical publishers,

25. effectively creating the largest commercial
STM text-mining collection on Earth.

26. Horizon Scanning
Background
Type Domain Language Volume Coverage
Closed-access
full-text articles
Science and
technical literature
English 28M 1900 - 2016
Open–access
repositories
Science and
technical literature
English 26M 1980 - 2016
US Patent and
Trademark Office
Patent
database
English
9.7M (app)
4.9M (grant)
~1980-2016
$850M
$850M In Peer-Reviewed
Research Content
Meta’s content sources

27. In exchange for their content, publishers leverage Meta’s AI to
enable article discovery across Meta’s entire platform,
Life Science
Analytics
Horizon
Scanning
Meta
Science

28. putting more journals and papers into the hands of researchers
and innovation-driven companies around the globe.
Life Science
Analytics
Horizon
Scanning
Meta
Science

29. Horizon Scanning
Background
Horizon Scanning
Background
With Meta Horizon Scanning, innovation teams
have a privileged view of the future trajectories
of science and technology.

30. Horizon Scanning
Background
Horizon Scanning
Background
And with it, a unique competitive advantage
that will keep them ahead.

31. Horizon Scanning
Background
Learn more about Horizon Scanning.
Download the Whitepaper
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