Frigessi_KD - Statistics for Innovation (sfi)

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Transcript Frigessi_KD - Statistics for Innovation (sfi)

Arnoldo Frigessi
with the support of
Many systems are very hard to
understand
Science, industry and business possess the technology to
collect, store and distribute huge amounts of data
Fantastically precious data,
yet complex and incomplete,
are ready to be used for scientific discovery,
product development, optimised service.
Statistics provides the methods for
producing useful data,
understanding data and
learning about the world from data.
Because knowledge is fragmented and data
are incomplete, discoveries and decisions are
uncertain.
Statistics is the science to
quantify risk and
make decisions under uncertainty
Statistics is necessary brick in today's …
telecommunication
transport and logistics
insurance business
pharmaco industry
public health
fishery management
petroleum production
and all the rest!
Statistics
Statistics is a service science.
Statistical methods
We shall produce the next generation of
statistical methodology for innovation
Statistics for tomorrow,
statistics for innovation.
Statistics for today’s
industry, science and service
NOW
TIME LINE
2015
Mission:
(sfi)2 develops core statistical methodologies,
strategically necessary to achieve innovation
goals in four key sectors:
petroleum
Vilje til Forskning
marine resources
health
finance and insurance
Tjenestesektor
Smerud
Medical Research
Petroleum
Finance
Insurance
Health
Marine
Common challenges to statistical science
Challenges
much data from different sources, but often few critical ones
more complex data, because we measure more in depth
systems to be understood or predicted are complex
the easy part is done, necessary to discover “second order effects”
evidence-based decision making is more and more required in society
International network
of collaborations
Based on our competence, experience, traditions …
we shall built strong, interdisciplinary teams, …
working on ambitious research projects, …
producing top results, …
fundamentally needed to solve strategic innovation needs.
What projects at (sfi)2 ?
Ambitious, very ambitious, innovation aims,
where we have an advantage with respect to competitors,
because of partner’s top know-how, market position, unique
data or ideas;
where we have a scientific advantage because of our
unique competence in statistics
where we can put together internationally leading
interdisciplinary research teams.
First!
Best!
FindOil:
New method to compute the probability that an
off-shore perforation will be successful.
Update the probabilities of success of all other possible
future drilling locations.
(StatoilHydro, NR, UiO, NTNU)
StatMarine:
Improve the management of marine resources,
by better surveillance, based on new statistical models
that describe the sea under environmental pressure,
climatic change and commercial exploitation.
(Havforskningsinstituttet, NR, UiO)
MetaAnalysis:
Reduce the time to production of new drugs,
combining published clinical studies and open data
with own precious data material at individual patient level.
(Smerud, NR, UiO, Rikshospitalet)
Climate Change and Insurance Industry:
What effect has climate change on the insurance industry?
Methods to help the insurance companies to be less
vulnerable to climate change.
(Gjensidige, NR, UiO, LSE, Lloyd’s)
Industry and Academia Partnership and Pathways
1997
2007
2030
2050
time
Insurance
industry
Metereol.
Predicted
insurance
losses
Insurance
losses
Weather
data
Climate
Climate
researchers model
Statistics
Climate
model
Highly interdisciplinary
Strong synergies
Top statistics!
Ingrid Hobæk Haff, Ola Lindqvist, Linda R. Neef, Xeni Dimakos, Mathilde
Wilhelmsen, Ola Haug, Kjersti Aas, Jofrid Frøland Vårdal, Lars Holden, Egil
Ferkingstad, Magne Aldrin, David Hirst, Hanne Rognebakke, Bjørnar Mortensen,
Marit Holden, Petter Abrahamsen, Ragnar Hauge, Heidi Kjønsberg, Odd
Kolbjørnsen, Ingunn Fride Tvete, Bård Storvik, Marita Stien, Geir Storvik, Nils
Lid Hjort, Steffen Grønneberg, Ingrid Glad, Ørnulf Borgan, Ståle Nygård,
Ole Christian Lingjærde, Hege Bøvelstad, Inge Helland, Arne B. Huseby, Ida
Scheel, Gunnhildur H. Steinbak, Nils Haavardsson, Hayat Mohammed, Egil
Ferkingstad, Nina Gunnes, Trond Moger, Brigitte F. De Blasio, Bettina Kulle,
Glenn Lawyer, Knut Liestøl, Arnoldo Frigessi, Marion Haugen, Odd Aalen Petter
Laake, Morten Fagerland, Magne Thoresen, Marit Veierød, Tore Schweder.
Alessandro Ottavi, Sara Martino, Henning Omre, Jo Eidsvik, Håkon Tjelmeland,
Mette Langaas, Håvard Rue, Torbjørn Stølan, Arild Buland, Knut Birger Hjelle,
Erling Siring, Isabel Saraiva, John Reidar Granli, Herve Babusiaux, Laurent
Viguier, Frode Masdal Svendsen, Kristine Dybwad, Elisabeth Nyeggen,
Elisabeth Meze, Tone Eilertsen, Monica Svendson, Lars Kvifte, Tove Krohn
Sjursen, Gunnar Kvam, Marte Valde, Anders Øksendal, Roar Hoff,
Idar Øsebak, Kari Reikvam, Nina Schjølberg, Sondre Aanes, Kjell Nedreeas,
Michael Pennington, Asgeir Aglen, Åge Fotland, Eirik Næss-Ulseth, Fang Liu,
Håvard Hauge, Torbjørn Rognes, Håvard Hauge, Bjørn Steen Skålhegg, Ken R.
Rosendal, Tuva Holt Hereng, Gisle Grave, Nils Meland, Inge Christoffer Olsen,
Knut Smedrud, Eivind Hovig, Eivind Tøstesen, Morten Johansen, Morten
Mattingsdal, Geir Kjetil Sandve, Birgit Eliassen, Jon Myrseth, Ophélie Aussedat.
People
Funding and
Infrastructure
A new culture for
An intense training programme.
Focus statistical
on innovation.
science
New alliances, between academia and industry
For the first time in the world, a centre like this.
(sfi)2 is a resource for the growth and competitiveness
of the Norwegian economy.
(sfi)2 mirrors the fundamental priorities for research
as in Vilje til Forskning. Plus tjenestesektor!
(sfi)2 will impact the way exact sciences are perceived
in the society. Important for recruitment and labour market.
Please, tell others about us!
sfi’s are an exciting adventure,
interesting and rewarding to join,
a new way to think and do science.