CI.III.1 Wider Adoption, Deployment, Utilization of a Cyberinfrastructure David De Roure

November 2005SNAC2 Major Challenges - general Standards, approaches to standards, consensus ontologies User interface specialized to community Identifying and nurturing communities of first adopters Scoping, what's out there, need social structures –2nd 3rd and 4th adopters need to know who’s gone before then make their own path …other points fall into: –Management, Trust, Incentives

November 2005SNAC3 Management Cultures - not everyone has collaborative research culture Governance challenges Building CI that respects other work on social systems Preservation, archiving, curation Sharing and creating knowledge, interaction with industry, intellectual property

November 2005SNAC4 Trust Trust - technical trust, other kinds Cuts across entire discussion Curation of data Knowing what's available and how trustworthy

November 2005SNAC5 Incentives CI stops people getting their own brand visibility Reward system for engagement of computer science Service in return for innovation, influence and impact, respect Career-worthiness Unified ontology freezes science Same idea in CI - need ability to plug in new models Governance should evaluate research

November 2005SNAC6 Stakeholders Multiple stakeholders Role of industry –in house for R, for D –delivering products on it –new CI –EU has grants which force collaboration Are outputs open source or licensed

November 2005SNAC7 Where can Social Networks help Iterating the ontology, need to connect up the people, consensus ontologies Recommender vs referral –recommender is centralized (privacy issues) –referral is highly decentralized Personalisation 3 levels –Objectively best info –Taking account of individual –Taking into account what would be good for collective good of the network

November 2005SNAC8 Management, trust, incentives CI is a collection of researchers - put SNA into lower levels for better management. Compare with other people's social networks - publishing, ing - CI gives feedback on your activity Conventions would help healthy network Don't want recommendation which helps collective at my expense How to evaluate success of CI –Could be used for tenure, promotion Need new metrics which are more network focused to measure outcomes of CI

November 2005SNAC9 Challenge 1 Expert finder with support for network evolution and feedback to participants about their network Metadata, privacy issues - how do we mine it without invading privacy? Not just finding but selecting, using community knowledge to find what is appropriate Finding components of CI, benign world assumption Technical management Exponential growth curve if people picking up tool vs papers NB Sometimes want to talk to people who are different (but not too different)

November 2005SNAC10 Challenge 2 Trust is a shortcut - avoids data deluge Interface can indicate trust implicitly or explicitly "Why this recommendation" “I might trust your data but I might never want to work with you!” distinction CI will help with all the issues Trust as a function of CoP More generally - they is an expert but I don't understand them If I want an expert in another area, identify people who cross boundaries - people like to talk to people who are like them Controlled scattering vs clustering Social networks give hints of trust

November 2005SNAC11 Conclusions Management, trust, incentives –Social –Technical Scientific work inherently social Social provenance of information