FoRC Rm Saarbrucken
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Simon Buckingham Shum
15 August 2011
Working materials from the FoRC Workshop group meeting in this room.
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Comment 1 by Anita de Waard
Anita de Waard
1:08pm 17 August 2011 (Edited 1:16pm 17 August 2011)
David Shotton's Notes: Day 1
Anita: The Past
Don’t take anything for granted - be open to new views, don’t just push your old ideas.
“Life is what happens while you are waiting for something else” - long breaks in conference for talks
Douglas Englebart, 1968: Hypertext “Content represents concepts, but there is also a relation between the content of concepts, their structure, and the structure of other domains of human thought, that is too complex to investigate in linear text” (echoes of Ayn Rand)
Demo of collaborative editing across internet
Hypertext: modular content components, meaningful links and claims > evidence
Gives history, via ABCDE Format of modular computer science proceedings papers, ending in LiquidPub 2010 Structured Knowledge Objects, HCLS Rhet Doc - medium-grained core narrative components, and DoCO!
Argumentation relationships - Simon B-S work
> claim evidence networks - Hyper, Nanopublications, SWAN
But almost no content has been created in this way. Why?
Pre-web online databases, hypertext
Web 1990 - 2000 Web, preprint servers, standards
2000-2005 Semantic Web, open access
2005-2011 Social web
1990 - 2000 standards - XML, PDF, MathML, et
What has stuck - Word and PIDF - coercion interests
XML html - shallow learning curve - high functionality
RDF - semantic message
social media - simple tools to express basic human need
Up to 1980: Publishers sold to libraries
1990 - ArXIV,
2000 BioMed Central, PLoS, Creative Commons 0 author-pay
2005 o open data movement
But commercial business model engrained
Societies and author-pays models also become publishers
Indignation drives Open Access - but also have a day job - just need to publish in Science and Nature
1990 - digital repositories, JSTOR, Cite seer
2000 Workflows and Grid - Taverna and myGrid
2005 - Dataverse, DataCite, MyExperiment, Data journals
Workflow tools not yet ubiquitous - why not?
Attribution and credit
Until 1980s - impact factor
Since 2000 H-Index and Google scholar, but not much has changed
Factors driving support
Community support LaTEX
Ease of use - Google Scholar,
Academic credit depends up t - Grant proposal forms complex and non logical, yet “essential” so people do it
Simon Buckingham-Shum Net-centric scholarly discourse?
We construct knowledge through language and discourse. How to go beyond journals?
Vannevar Bush 1945 “ We may some day click off arguments on a machine with the same assurance that we now enter sales on a cash register” Computable arguments
2001: ScholOnto Project “IN 2010 will we be publishing results primarily as prose papers?”
Scientific infrastructure would permit asking questions - what is the evidence for this claim?
Was this prediction accurate?
Who build on this idea?
Who challenges this idea, and with what arguments?
are there distinctive perspectives on this problem
1665 throws a long shadow - Le Journal des Scavans, Phil trans Roy Soc > networks
Any community of enquiry is a complex adaptive system responding to a changing environment - physarum - absorb and reorganize in response to external disturbance
IS CURRENT SYSTEM NOT FIT FOR PURPOSE?
HCI and sense making -
Higher quality of conversation within scientific literature
Making formal and informal connections
Sense making is about plausibility, coherence and reasonableness
We construct meaning ins scientific discourse there is rarely one master world view
Tools assume a wealth of documents, plus online tools and analytics, making meaningful interpretations and connections between information elements
Start to tell a story linking statements / publications
Empirical studies of users, inform user interface design.
Example of analyzing blog on nuclear power
Collaborative web infrastructure for structured deliberation
Cohere visualization of semantic annotations on publications
OpenEd Evidence Hub
Agnes Sandor, Xerox - human and machine annotation of discourse
Cohere + Utopia - annotations in Utopia
David Rosenthal - Finance
Follow the money. Research publication is a multi-billion dollar industry
HighWire pioneered on-line publication
Libraries switched from purchase to leasing info online
Cancellation lost all access to past materials - post-cancellation access
Publisher goes out of business = Preserving the record
LOCSS project Peer to peer network for preservation
NSF funding, Mellon Foundation additional funding
LOCSS went into production all five other archives failed
Negotiations time consuming and expensive
Concept resurrected by Phil Bowen as head of Mellon > Ithaka with $55m Mellon cash
Portico front end
Outsourcing library collections
Charging foo open access content
Close connections with Elsevier
got all Elsevier content
Portico became selected repository, but has failed to get sustainable funding
Libraries unwilling to pay enough this funded in with JSTOR
National libraries - legal and technological barriers have prevented them from fulfilling role, except Dutch, who have no legal mandate
Publishers set up own archive - dark archive of journals just in case > CC republication
CLOSS 2007 this has been the future of LOCSS
Driving costs out of system
Would not have survived if libraries has not found technology useful for preserving other stuff
Digital copyright deposition is not required.
Hits to your own site have value, even if from non-subscribers
Portico leaks content slowly to library = Ithaka will own all academic content which they can later monetize, as does JSTOR
Value of post-cancellation access dominates field - expensive content
But Elsevier is not going away
Stuff that is at risk is open access stuff from minor publishers - funding this preservation is much harder
Lessons: Funding for long-term preservation needs to be buried in something that delivers access in short term
Increasing returns of network effects so that quickly become monopoly - non-profit monopolies harder to dislodge
Everything we are talking about is copyright
Copyright is totally broken 0 but control systems that publish, preserve and manipulate contend broken
No open access publisher has sustainable business model - including PLoS
Paul Groth : Current status
Papers on paper, or online
Find things on Google Scholar, digital libraries
Papers by email - PDFs not self citing
Twitter feed > URL > clack and download
Conferences - slides and talks, Lanyard.com, Slideshare
Databases - UniProt etc.
Informal - twitter, blogs, beyond the PDF discussion forums, mailing lists, e-mail
Measurement - PMetrics - through journal articles only
We have a share vision, but have we a shared goal.
“ A little history of the present”
Push a goal form Beyond the PDF re SMA - happening slowly - everyone doing what they have always done, not towards the shared goal
What can Phil do towards the shared goal
Some shifts: perception of what is scholarship is changing v slowly
Now a committee for how to measure scholarship at UCSD
But young faculty members far less focused on improving scholarship, and more on Nature papers
all about numbers and quality journals
SciVerse is a game changer - iPhone changed the way we do software apps all operate off same interface
SciVerse similar over shared content base - extend into data content world
PDB provides data without services, that are left to user, independently
Need to create app style model over data . easier to use
Data Journal? Workflows critical?
Wellcome and Highs and Max Planck announcement about a data journal - not so dumb
Must have more regards for publishing data - get a proper citation out of it - PROPER data citation
Institutional repositories - roach motel - data checks in but not easy to get data out!!!! Not v useful
Data journal - database maintainers become publishers
Phil blogged this and got lots of response
Technically possible, but is it a good idea.
Executable paper idea on top of this.
Use data journal to control a software environment
Workflows Yolanda Gill as USC asked to take info
Tried to create a workflow - v hard to reconstruct
Need tools to create and record workflows as part of scholarly record
Publish this with the workflow.
Fiona Murphy Impediments to Data publication
Impediments to integrating data:
Technology: people collect data ad hoc and postdocs leave - no deposit policy
Interfaces unhelpful British Atmospheric Data Centre - interface prevents people doing what they want
Format issues - which will survive and which will create black holes - laserdiscs
Funders: mandates but not incentivizing, toothless demands for compliance
Researchers: Suspicious of sharing their IP - keep data for reuse
ClimateGate people v worried and have gone underground to avoid exposure
Researchers lack time to do non-essential data management - at end of project looking towards the next project
Building research team - data scientists don’t have career structure
Publishers want to help, but not clear where to go and what to do
Cannot see benefits of publishing data themselves
Tough time for library subscriptions
Used to deal with librarians, and have lost touch with end users
What do researchers need from publishers - need conversation
`subscription model brings in money - why change it?
What expertise is needed for new data products, what is business model
Not used to building partnerships with funders and policy makers, or even other publishers to provide industry-wide solutions
Who is responsible for data where does it sit? How to link to article? Publishers don’t want to clutter sites with huge amounts of data
Michael Kurtz: 11:40
myADS - Collaboration with ArXiv at Cornell
Not refereed journal with the best paper in the field - for 10 years, 8000 subscribers
Number of articles per year 3.7% increase - not sustainable, so new tools for filtering, specializing
New publication models that don’t take this into account will fail
History: 1987 Astrophysics Data Systems workshop
“Urgent need for a master directory of all NASA observations linked up to ground based data
Still not achieved. Not easy to do.
None of this to do with literature - all about data
Early work on own browser before Mosaic, query over two databases at same time
Goes through developments
Now integrates data and journal articles
Click through to one paper - can link to full text of paper or to data products, including archival data > list of sources of data for that paper. ‘
Click through to table of data
> raw telescope images
> dataset references to ‘reduced’ data
Can see what data used for in past
Steve Pettifer Utopia
Can liberate date from tables, export to excel, etc.
Can extract images and browse through them
Play back video behind image
Overlaying on PDF, not embedded between, so further readers can see comments
Trans-membrane receptors re-visualized according to scheme, by pulling info from database, on the fly
Ref linking to Science Direct
Will pull bibliographic info from Science Direct > open cited article in Utopia without having to download PDF
Reconstructions document using DoCO
Completely automatically no training
Useful for text mining app e.g. just of body text
Use this for PDF reader for visually impaired
Cohere: Assertions in text seen in Utopia > Cohere graph of assertions
Mendeley and Open Citations
Open PDF and goes off to Mendeley and open citations - > related articles, pull back info from Mendeley, > related articles
On the fly generation of citation networks on the fly from open citations, and can link through to other articles on node
Todd Vision: Capturing the long tail of orphan data
Most researchers data not published in useful way that gets credit.
Policy effort among journals in ecology and evolutionary biology
No undue burden on authors or journal in terms of semantically rich metadata
Low hanging fruit - added value
Low barrier to submission - link with MSS processing system of journal - back passage message passing freeing researcher from metadata entry.
DOI assigned to data.
Could imaging additional layering on top of archived data
Compromise approach - red hearings: Researchers wont bother. 25% uptake when voluntary, 75% when mandatory
Free themselves of burden of data archiving and management
Storage needs not overwhelming so far - on average one big spreadsheet per paper , < 1 mbyte per paper
Spreadsheet will not be reused: several dozen data packages downloaded 100s of times. 1000 data sets per year
Costs real and not overwhelming - up front payment $50 per paper for long-term storage
Trivial relative to supplement al material rates and cost of publication, and orders of magnitude less that cost of creating data in first place
Want data to be treated as first class objects, and be given credit
Want to support data citation, but mechanisms to track usage not yet created.
Cameron Neylon - Research communication is different from paper publication
The paper is not the research, but a (poor) representation of the research - we have been talking about making it a better representation
But can we communicate THE RESEARCH
Data does not spring fully formed from research = workflows required as well
In wet lab: mixing solutions to put into a machine in hope it will spit out a useful spectrum
Don’t forget to document the early research activities, materials,
Process of authoring and reviewing is v expensive
We could publish the research object itself - could be done at lower cost
Herbert van der Sompel
Need framework of thinking for future discussion
Registration - claim a finding - time stamping
Certification - peer review etc.,
Awareness - discovery
Archiving - how do we hold on to all this stuff
Derived function that drives everything,
Reward - based on the impact factor
(Christine Borgman has written similar stuff more recently)
The above is an abstraction of the journal system - do they still apply to what we are planning to create?
“Looking at the future through the rear-view mirror”
Look at network effects that were not present before.
Judith: Have never talked about databases, that are the primary reference points for most people. Most people’s career are independent of journals except where necessary for their career.
Phil: We need some goals:
1 Intra - things we could do together, that might be unrecognized by the lab researcher
2 Inter - the Dryad and Utopia that can impact the external community in a huge way
3 The interface between these two - influencing policy that could change the status quo.
Looking at professional science, separate from society at large
Royal Society investigation is about connection to society
David de Roure:
Also bringing people together - building the social graph between scientists
Informal communication - spectrum - formal publications.
discussing, collaborating, reuse, reproduce
Requirements of scientific discourse that do not apply to normal discourse.
How to validate scientific information to society on the Web
Hard science concentrates on databases
Other approach is scientific discourse - why is A citing B?
Proposals for working groups;
3 sessions: presentations on Thursday am
5 rooms Here, nothing
Karslruhe donwstairs 4
Requirements _ two reports from each group = a manifesto - recommendations to funders, government, publishers, libraries
vision - impediments - how to overcome
topics: Research data and code - repositories, data papers, executable codes, workflows + New forms and tools - nanopublication, text components, Utopia, chemistry tools, authoring tools, How to create value chain across all these
Assessment and impact - rewards, citations. New ways to assess science
Business models - Ed and David - How to make sustainable systems
Social platform (citizen science and crowdsourcing) , outreach to society, and continuity
Tim Clark: how to build an ongoing ‘college’
Need to ground stuff and get good uptake from researchers
seek some funding for and construct a web community for continuing FoRC and friends - funding for travel for collective experiments
Todd wants to vertically integrate over all topics for a new intervention
Breakout group 1: topics: Research data and code - repositories, data papers, executable codes, workflows + New forms and tools - nanopublication, text components, Utopia, chemistry tools, authoring tools, How to create value chain across all these
Paolo: How can we use this meeting to start to work together and leverage one another’s work
Gully: How do we effectively collaborate. Steve makes himself available and gets it to work
Steve: Just blundering around
Phil: Terry on the practitioner side, while Steve does the technology - starting with lack of understanding of one another’s domain
Paolo: how to integrate across groups - Steve just “we’ll do it”
Problem is first understanding what the different groups do, how to recognize our own boundaries,
What we want:
Paolo: Integrate with Utopia both ways, Use gully’s model, use Open Citations, Citation of data. Need citation of workflow.
[Need API over Open Citations.]
Judith Blake: Bring; works with publications Need to dig data out of publications. Need markup to identify bits of paper> Utopia could do that for her and enable markup.
Gully: Do: NLP ontology systems, want to reason over the data. The act of scientific discovery is key p building a breakthrough machine. Text mining in progress with Judith in progress
Wants to do : create collaborations in which his stuff gets used.
Challenges - not invented here. How to use other people’s stuff more easily.
David: Data management tools and SPAR applications:
Need open citation information, expert markup for open research reports
Steve Pettifer: will collaborate with everyone round table by end of year
David de Roure - myExperiment - workflows
People want to work flow bundles into packs - research objects
Workflows4Ever - focus on provenance of research objects
Carole Goble: Research Objects lifecycle not expecting all items to be in one place. - SysMO project
Other systems for methods, scripts, SOPs, ISA infrastructures, store data spreadsheets, etc. and models.
Need curation at data creations time
Built metadata index to other peoples databases
Todd: Model for ingesting heterogeneous content. has a way to test out stuff with collaborating scientists. What would enable research if data were . . . .
Anne: Cohere tool for allowing collaborative annotation on documents - not following a particular ontology - How to do higher level reasoning on data, using ontological markup
How to support open annotation - understand collaborative dynamics of human and machine annotation
How to support this human_ machine collaboration and higher level reasoning about connections between concepts . . .
Cohere imports XML or RDF - wants to suck in annotations for analysis for cognitive reasoning. How to improve visualization.
Phil: Collaboration network embarrassingly small. and don’t produce anything anyone can use. Have PDB! Have literature = database integration in house.
Todd and DataBank both accept minimal metadata.
Gully: what is purpose of it all - ontologies concerned with the correctness of the representation.
We are not creating domain ontologies - but rather generic ontologies that can be shared.
Link Open Citations with e-Journal club
F1000 is successful
Interactive journal club is a learning procedure
Paolo: some people don’t accept summarization of a paper
Carol: what are the bottlenecks in research:
Bottlenecks; Information overload and choice of best papers
Todd uses many tools for this
?? citation numbers
Gully: IN genetics, lots of infrastructure already in place
Neuroendocrinology no databases - have to read the papers
Different domains have different levels of informatics support.
Also, everything is interdisciplinary, so domain specific is not enough
Read want to read the papers that are just at the intersections of two domains -
Judith - papers not correctly tagged in PubMed
How to crowd source annotations - but also issue of authority and choice of vocabularies - folksonomies must be open
Carole: Crowdsourcing only works with specific tasks, and need funding and organization
Other bottleneck - knowing what is going on in my own lab
Preserving from a multi-site multi-community project all results, so can continue after the project. Quite complex for multi-site - staff turnover.
People happy to share point to point, or publish to the world, but not to share data to the world - no reward for this, and many potential penalties
Todd not using word “sharing”
No policing and no rewards\\
80% of all clinical trials mandated by law to publish data do not - no one fires them!
Phil: But things are changing. Your papers have to be in PubMed central.
Carrot: et an extra citation
Prisoner’s dilemma - need everyone to do it for the common good
Bottleneck: Start-up time for new people in the lab - too much information to acquire - the time has not changed over time, but the pressure on productivity has increased, so hire a postdoc who will be more productive.
Research data management still mostly paper based and non=collaborative
EverNote would have helped 20 yrs. ago if useful thinks built on top
If Phil had something that could digest lab notes and suggest what new papers to read in the morning.
Tools that are too specific, never do what YOU want - cannot customize
How to bring all people together: What is our connection diagram
FoRC not so good
Force *** better
Future of Research Communication and E-scholarship
FoRC not so good
Force *** better
Future of Research Communication and E-scholarship
Ed Hovy: The Future
Issues: data deluge
, repeatability, citability, mashability
algorithmic assistance to researchers
Web of data and web of documents
Slide 12 additional: Argument, terminology, claim and evidence
Your argument is part of broader discourse - need to cite others
Background Claim Citation of evidence is citation of other paper. Cant get transitive closure of claim right back to evidence through papers
Results claim cites evidence in paper - figures and tables, methods
Must be cognitive of these patterns.
Scientific argument is finding something de novo and fitting it to what is already known
Robert Dale: What is it we mean by scientific communications - do blog posts may exclude evidence and just be argument!
Judith: Exploratory and descriptive projects (microscopy) now don’t get funded
Ed Hovy: What I’d like to get from Publications in the Future
A disruption algorithm:
Vision to improve the communication of knowledge between scholars using new technology
Why do we publish: record new knowledge with time stamp, to communicate, to permit people to measure me
In future, need to provide better access to knowledge,
to a=permit better knowledge communication, and
better knowledge verification and extension
WHY DONT WE DO IT TODAY?
Why would our vision sick?
When PoF is easy to produce = learn and use tools quickly, capture all aspects of knowledge
Easy to consume - ingest results faster and deeper
More effective - readers get more info, more accurately - ditto for reviewers and tenure evaluators
ONE REMOVE BLOCKADES AND GIVE BENEFITS, JUST DO IT
But we don’t have clear vision, clear statement of why, understanding of impediments and cost, understanding of procedures
Goals of meeting
List and organize methods
Study impact and effects - why beneficial
study financial implications
Work on how to make it happen
Impacting our world
Overcome obstacles -
Get ball rolling
PoF: Contextualizing The Web of X
X = ideals, theories, papers, social network, research network
e.g. Stephen Wan’s work
Active pdf Greenacre and Hastie
Put non-text info into text - data movies, images, data collection software
Who will maintain, update and extend
Who will do this - publishers are achieves
Different fields differ - must allow for these
construct paper to fit knowledge domain
Discourage free-form argumentation and bullshit
Understand intellectual framework specific for discipline
e.g. KEfED model for biomedical experiments - gully Burns
Input and output dependent and independent variables
If you can find pattern, can help people right
Ethics: balancing concerns - electricity and nuclear power = precautionary principle
Time: Evolution of music over history
Monteverdi > Bach > Beethoven
Evolution of understanding of harmony: horizontal melodies > vertical chords
Impacts of PoFs Society
What are we paying for
Google is disruptive
Blogs, avoid journals
What next between producer and consumer?
What jobs remain, and who will pay for it?
In long-term, will code work, data grows in incompatible ways, formats go out of date
Someone has to do the work
It would be good if we know the individual costs, rather than bundled costs
Both consumer and producer needs to pay
Where to go from here
Paper light (free)and paper rich (semantically enhanced, costs $$)
Get publishers involved - show them roles
Get people involved
= = = ==
EXCELLENT! Get slides.
Udo Hahn: no better system than peer review.
Simon: Paper discussing a different type of pattern: Evaluation of software system has these points . . . methodology, users, etc.
Different disciplines use different paradigms of argument
Who can access communications - subscription barriers
How easy are they to use
What is happening - concentrating on journals, forgetting about books and monographs
Anita: Manifesto light and manifesto full!
Leslie Chan: More that just putting stuff on the Web - need to use the potential of the Web.
Ivan: Discussion concentrates on the journal. But historians write books. We do not have that in mind.
Ed: Model of book + CD + web site + iPad app - book by Al Gore on environment
Judith: Put aside the idea of journal - the future is the internet
Argument structure and templates > web
eBooks can have versioning
Trip Advisor & Google Analytics - each book has ranking by community - measure of value
These give value without subscription - look at different financial models for journals??
David R: Concentration on journals: this world is about to get disrupted. University press books is much more disrupted - no one wants to pay for stuff humanities writes, since none wants to read it!
Need to understand what is wrong at moment - opportunities for disruption
Peer review working worse - increased volume and workload - wrong rewards.
so look at what is wrong now.
Robert Dale: Need to decide what product category we want to describe
Gully: get away from “Paper”.
Carole: Concentrate on long term preservation
Can we read it in 40 years time - complicated on-line artifacts
Ed: users will convert to modern format if important enough to read
Majority of science not worth saving
Phil: NY Times - smart people could not look beyond 5 years, building on what we know
Totally disruptive: Knowledge is a stream > river > sub-disciplines to permit usefulness
But now moving to stream - rolling flow of knowledge in on-line news, on-line newspaper, evolution of Wikipedia - not individual editions
David de Roure - The Execution of Dave 2.0
Coshh assessment of making tea - process
Taverna workflow for bioinformatics data analysis
Other types of workflows too - enable dealing with data deluge
Help to reproducibility, and description of process itself
Flickr, YouTube, Slideshare, myExperiment - social media
myExperiment pays attention to license, credit, attribution
Need to record not just workflows but inputs and outputs - > package research object
Describe relationships between components
Respectful - provenance, IP, lineage
Yin Yang - data and method/process/execution
www.methodbox.org Iain Buchan
Executable thesis: Now throw new data at it and get new results
Executable code within document
Spreadsheet is the same thing
Computable Document Format CDF from Wolfram
Executable Paper grand Challenge
Winner: Collage: Cloud executable
The Executable Journal - new role for the scientific publisher??
then strayed into science fiction of automated creation of new scientific results - machines are users too!!
Gully: How does this help knowledge synthesis - bringing stuff together into a coherent framework
DDR: This is the biggest impediment
Cameron: Cost of discovery of publications is major point -
Simon: People good at argumentation reasoning - let computers get on with the simple things
But people suspicious of automation - is that attitude changing?
Many people go straight to the data, rather than waiting for the publication
Much research is “mundane” discovery - hard and intellectually challenging precursor to the “ah ha” moment - intellectual slog
Tim: Want to be able to cite workflows as well as data
How to do this?
Extension of CiTO / FaBiO fabio:Workflow exists
PROVENANCE? Leave that to the Provenance vocabulary
fabio:ResearchObject does not - we decided it was too fluid to be defined, and that ORE covers this
ISA hierarchy - useful, and defines SPOs too - all packaged
Tim Clark: ALSO ASK PEOPLE TO PUT IN THE CONCLUSION - AS IN MIIDI
Cameron: I want to play in the lab, capture that, then point others to the data - need provenance model in retrospect, not in advance
Gully: differentiate observations and interpretations
DMS: Conceptual models, presuppositions - need to be aware since these determine observations you make
But observations will always be true, interpretations will vary - need to distinguish, so that others can re-interpret
Steffan Decker FoRC
Changing to web of knowledge - science only part of this
Linked data happening right now
Services for search and collaboration and mining
Applications and commercialization
How does the real world interact with science
Where are the sweet spots between paper and web?
Qrate.me - a smart way to use your smart phone
Scientific posters at conference - read a URL from a QR code
Scan the poster, tweet it, Google etc.
How to create a QR code
Provides universal interface for everything we are talking about
- slide presentations, etc.
SmallWorld demo UIST 2011 presentation
Creation of museum of world of warcraft !! HTML links into 3D world and vv
?? CLAROS virtual museum
We need clear vision of where to go
More in society than research - research data only part
“Tourist attractions” along the route: e.g. 3D navigation and QR codes
Kinect rendering of 3d world
Make solid models of virtual 3D things
Mike.firstname.lastname@example.org Toward Horizon 2020 Role of scientific data - a survey
EU has brought many benefits
“We threaten people with money!”
“Innovation” is the buzz word, including innovative ways of recycling stuff we have already and of collaboration
Include on every page of application
Horizon 2020: Framework program for research and innovation
Incorporated European Institute for INNOATION AND TECHNOLOGUY EIT
INCREASE IN BUDGET 46% = Euro80 billion!!
Excellence in the Science Base
Research infrastructure that other people can use - lots of solutions to many problems
Will finance infrastructures, more money up front
By end of year, words in place - we need one line in place describing this area
New member states need to catch up
Lots on global cooperation , esp. developing countries, regardless of geographical location, synchronized calls with USA, etc.
Now in listening mode - now tall EU formally what comes out of this workshop
Open Scientific consultation - number of questions asked but want to hear what people wish to say
EU budget funded by VAT - so some questions designed for man in street and simplistic
Avoid taking the science out of life
“push for improved knowledge circulation in the European Research Area”
Willing to listen to international set of opinions
Now gathering opinions and formulating projects - getting language in place that defines legislation
European Parliament increasingly interested in Science and Technology
Keep your Euro MP in the look - they are very influential
Leibnitz who run Dagstuhl have office in Brussels
Need to show evidence of benefits of research - driven by bean counters
Keep in touch with project officer, can adapt plans accepted - flexibility is OK
Lots of ways to fund individuals
IRSES international Research staff Exchange Scheme - funds for exchange visits - application
Fund 5K ph. ds per year
Research projects FET program
Marie Curie Actions are small and manageable for individuals