D10.3 - Collaboration and Dissemination Activities: Report and Planning (c)

SmartSociety

Hybrid and Diversity-Aware Collective Adaptive Systems When People Meet Machines to Build a Smarter Society

Grant Agreement No. 600854

Deliverable D10.3 Work package WP10

Collaboration and Dissemination Activities: Report and Planning (c)

Dissemination level (Confidentiality)1:

PU

Delivery date in Annex I:

31st December 2015

Actual delivery date:

1st February 2016

Status2:

F

Total number of pages:

20

Keywords:

Dissemination Planning Reporting

1

PU: Public; RE: Restricted to Group; PP: Restricted to Programme; CO: Consortium Confidential as specified in the Grant Agreement 2 F: Final; D: Draft; RD: Revised Draft

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Deliverable D10.2

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Disclaimer This document contains material, which is the copyright of SmartSociety Consortium parties, and no copying or distributing, in any form or by any means, is allowed without the prior written agreement of the owner of the property rights. The commercial use of any information contained in this document may require a license from the proprietor of that information.

Neither the SmartSociety Consortium as a whole, nor a certain party of the SmartSociety Consortium warrant that the information contained in this document is suitable for use, nor that the use of the information is free from risk, and accepts no liability for loss or damage suffered by any person using this information.

This document reflects only the authors’ view. The European Community is not liable for any use that may be made of the information contained herein.

Full project title:

SmartSociety - Hybrid and Diversity-Aware Collective Adaptive Systems: When People Meet Machines to Build a Smarter Society

Project Acronym:

SmartSociety

Grant Agreement Number:

600854

Number and title of work package:

WP 10: Dissemination, Collaboration and Exploitation

Document title:

D10.3: Collaboration and Dissemination Activities: Report and Planning (c)

Work-package leader:

Stuart Anderson, UEDIN

Deliverable owner:

Stuart Anderson, UEDIN

Quality Assessor:

Lucia Pannese, IMG; Daniele Miorandi, UH

© SmartSociety Consortium 2013 - 2017

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Deliverable D10.2

List of contributors

Partner Acronym IMG BGU DFKI TUW SOUTH KU UOXF UEDIN UNITN UH UEDIN

Contributor

Lucia Pannese Avi Segal George Kampis Ognjen Scekic Luc Moreau Leonardo A. Martucci Mark Hartswood Pavlos Andreadis Vincenzo Maltese Daniele Miorandi Stuart Anderson

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Deliverable D10.3

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Executive summary The objective of this deliverable is to report on the planning and implementation of the dissemination activities undertaken by the SmartSociety project. It is written as an update on deliverable D10.2. The overall plan has changed little from the version of D10.2 so we take this as read. The dissemination goals have matured and developed as the project has developed and these will be reported but the overall pattern of Goals, Audience, Messages, Messengers and Channels remains in place. Sections 1-5 of this report provide brief updates on each of these aspects of the plan. For a fully detailed account of these aspects of the plan the reader is referred to D10.2.

Sections 6 and 7 provide a report on the third year dissemination activities. These are structured according to the agreed KPI table taken from the DOW. This identifies a number of agreed KPI together with targets set for M12, M24 and so on. This is reported mainly in tables relating to the achieved performance relative to the targets. In this we meet or exceed the targets set for all of the KPIs. Since most of the measures are cumulative we have included tables for years one, two and three.

An important feature of this deliverable is the inclusion of a more detailed analysis of the exploitable results of the Smart Society project. In this we are attempting to go beyond simple output measure in order to begin some assessment of the outcome of the project and the potential for impact on future research and innovation. In this we identify and prioritise specific business plan development up to the end of the project.

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Table of Contents Table of Contents...............................................................................................................................................6 1 Dissemination Goals .....................................................................................................................................7 2 Target Audiences ..........................................................................................................................................7 3 Key Messages ...............................................................................................................................................8 4 Messengers ...................................................................................................................................................8 5 Dissemination activities, tools/channels .......................................................................................................8 6 Evaluation .....................................................................................................................................................9 6.1 Managing Project Assets .......................................................................................................................9 6.2 Exploitable Results ..............................................................................................................................11 7 Dissemination Report .................................................................................................................................15 7.1 Website and Social Media ...................................................................................................................15 7.2 Publications ..........................................................................................................................................15 7.3 Community ..........................................................................................................................................17 7.4 Innovation ............................................................................................................................................18 7.5 New Proposals .....................................................................................................................................19 7.6 Public Understanding ...........................................................................................................................19 8 Conclusion ..................................................................................................................................................19 Annex A Exploitable Result Data Collection Form ......................................................................................20 Annex B Publicity for Rideshare Deployment ..............................................................................................21

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Dissemination Overview We live in an evolving socio-technical ecosystem where the physical and virtual are increasingly intertwined, where social interaction, is mediated by, and engages with, machines. Pervasive devices of different kinds (e.g. personal computers, mobile phones and tablets) combined with infrastructure and apps supporting large scale social networking ensure that there are strong incentives for us to participate at individual, organizational and societal levels.

Our dissemination activities aim to communicate how the Smart Society project conceptual tools aid the analysis, operation, design and evolution of Hybrid Diversity-Aware CASs. The impact of this work will be both in the operation and evolution of “naturally occurring” CASs that have grown up around providing particular functions and in the design, operation and evolution of new CASs designed to deliver particular functions. The key dissemination audiences are the international scientific community, practitioners working with CAS-like systems, public administrations that need to regulate CASs and use them to deliver services, and the European Commission as funder of this work.

This is an update covering year 3. For the full plan see D 10.2.

1 Dissemination Goals SmartSociety is a mature project with an extensive array of concepts, analytical techniques, tools, experimental results and data. In this section we briefly identify the top-level goals of our dissemination activity. These are closely related to the targets presented in the DoW: 1. Public Dissemination: Goal of public dissemination is: a. To ensure open access to the outputs of the project. b. To expose the broader ethical and governance issues around HDA-CASs to public debate and scrutiny. c. To enable people to experience HDA-CAS-type systems for themselves.

2. Scientific Dissemination: The HDA-CAS community of researchers is quite diverse and multidisciplinary. The key goal of our scientific dissemination is to reach out to the broad community of interest around HDA-CASs and build community interest in CAS research and develop a larger community of researchers.

3. Concertation and Cluster Activities: The goal here is to work with the FoCAS CSA to develop interaction and an effective community across all the FoCAS projects. This will include participation in the CAS activity and engagement in planning and implementation of CSA activities.

4. Exploitation of Results: Ultimately the value of the project rests on the adoption and reuse of ideas, techniques and tools, developed within the project, by other companies and projects.

5. Management of Knowledge and IPR: Exploitation also requires some protection to ensure that valuable IPR is not transferred out of the project to be exploited by third parties without adequate compensation for the originators of the ideas.

2 Target Audiences We continue to disseminate to all of the audiences identified D10.2. The project is now in its final phase and we have a range of concrete techniques and products available, we envisage that we will be ale to reach out to small and more niche organisations. For example, partnering with SMEs to develop products based on the SmartSociety platform.

Now we are in the third year of the project we are still reaching all of the audiences identified in D10.2 but for some of these populations we have gained additional traction. In particular: • Researchers: Because we have more deployable elements together with frameworks and techniques for analysis this gives us access to a wider pool of researchers. In particular to more applied researchers who might want to use our products. Zooniverse is a good example of this.

• EU Commission: In working in the EIP on AHA, Silver Economy and other similar initiatives we have a clear view of the role of the collective in thses initiatives and how our tools can lever collectives to achieve outcomes. This extends to pool of potential EU initiatives we can access. © SmartSociety Consortium 2013 - 2017

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Companies: Our exploitation work has identified clear potential for commercialisation and discussions with companies on potential use of SmartSociety Products is becoming more possible.

We intend to follow this up in 2016.

Public Sector: We have been working closely with the public sector around the deployment of the SmartShare system. This has considerably extended our audience. As the deployment goes ahead in 2016 we believe this will enable us to have a wider dialogue on other application areas with public service providers operating inside and outside Italy.

Public Awareness: The embedding of SmartShare in service provision has given us additional opportunities to communicate with the public. As the system goes live we believe we will see amny more articles of the type displayed in Annexe B.

3 Key Messages All of the key messages identified in D10.2 are still in place. The new category of messages appearing in 2015 has been messages based on experimental results and on experience of using SmartSociety outputs in the real world. Examples of this include: • Work on Zooniverse on incentives and how this changes the response of citizen scientists.

• Work on the Semantic Nurse project that demonstrates how to bridge the semantic gap.

• Trials of the SmartShare system prior to the major deployment.

All of these demonstrate the practicality of the SmartSociety ideas and they are presented framed by an appropriate framework for the discussion of legal and ethical issues. This provides us with a strong basis for discussion with policy makers and implementers. The SmartShare deployment will bring us experience of deployment “at scale”. It is almost certain that there will be many sissues arising from this but we believe that SmartSociety tools and products are well enough understood that we will be able to resolve issues quickly.

4 Messengers Our messengers have been heavily involved in giving talks, organising meetings, and contributing to our video channel (as detailed in section 7). The overall plan detailed in section 4 of D10.2 is still in place and our messengers are proving highly effective in communicating the outputs of Smart Society 5 Dissemination activities, tools/channels In response to the reviewers comments we have extended the range of channels we are using. ISSU seems to be particularly heavily used so we are ensuring materials are up to date on that channel. We have a full range of channels as detailed in D10.2. During 2015 we have seen continuing increases in the use of the site as it becomes more valuable because it has more assets available. We will attempt to promote the website further to ensure increasing use.

The new channel for 2016 is the gitlab repository. Once this is finalised and the status of all of the elements is decided we will promote this as the location to find SmartSociety components. The success of the repository will be an important indicator that the project will have long term impact so we will ensure the components are presented in a strong a way as we can with clear help on how to adopt and adapt our outputs.

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6 Evaluation The table below lists the target and actual performance of the project relative to the agreed framework of KPIs documented in the DoW. This KPI framework is intended primarily to document output from the project. This table is supported by more detailed tables in the appendices.

KPIs

M12(T)

M12(A)

M24(T)

M24(A)

M36(T)

M36(A)

M48(T)

Published Works (cumulative)

6

17

15

39

40

68

75

Invited Speeches (cumulative)

1

14

3

18

5

23

8

Joint Publications (cumulative) Visits to Other Partners for joint work (cumulative) Average Monthly Hits on the project website

1

4

5

8

15

15

20

1

5

3

5

6

8

9

200

473 (Dec 2013)

500

1065

1000

1346

3000

300

7634 (ACM)

Total number of Downloads (+ impressions) Articles in Blogs etc.

Papers submitted/attendees at workshop Partnerships with other Institutions working on similar work Number of projects using SmartSociety methods Products/Processes using SmartSociety results

3

6

7

3500 downloads + 8532 impressions 10

15

4100 downloads + 18136 impressions 14

n/a

-

40/50

22/30

80/120

22/30

n/a

1

1

3

4

8

8

12

n/a

-

n/a

-

1

1

5

n/a

-

n/a

-

1

1

3

1000

3000

In terms of developing measures of outcome and potential for impact (since much of the impact of the project will not be measurable until well after the end of the project) we have developed a framework for the identification and ranking of exploitable results reported in deliverable D10.5. This framework provides us with some quantitative and qualitative indication of the exploitation potential of the project.

There is one KPI that we have failed to achieve. This is the participation and attendees at Smart Society workshops. The Smart Society project believed that its continuing active participation in the Human-Agent Interaction Design and Models (HAIDM) series of workshops would achieve the required level of participation but this has not been the case. In 2015 we have augmented this with specific Smart Society sessions at ICT Days in Trento in March 2015 and the inclusion of a Smart Society Panel at the IFIP Summer School on Privacy and Identity Management in Edinburgh in August. Both of these events had good audiences and provoked considerable discussion. The IFIP session is well documented in the WP1 deliverable. We also have plans for additional events in 2016 that will help repair this deficiency.

6.1 Managing Project Assets In order to provide an infrastructure that enables the reuse of SmartSociety assets and the platform for the development of new products and services we have begun to explore the establishment of a repository that will provide more open access to Smart Society assets, this is part of Task 10.5.

As a first step we have identified the level of openness for the main code assets of the project:

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6000 40

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We have established a gitlab repository with sufficient that provides sufficient structure to enable good interaction between the various developers involved in the project that preserves the source status of the assets and allows the agreed level of access to external parties. The table summarising the current contents of the repository is:

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The population of the repository is still in progress but soon it will provide good access to SmartSociety assets by other projects and companies. Having reported on the mechanism to curate the project’s assets we now continue with an analysis of how exploitability of the results of the project.

6.2 Exploitable Results The diagram below depicts the results of the mapping process first defined in deliverable D10.5 and subsequently refined during year three of the project. In this mapping process we allocate each exploitable item to at least one of four quadrants. Notice that an item may be allocated to more than one quadrant because one item may have different modes of exploitation. This provides us with a qualitative evaluation of the exploitation potential of an item.

As we might anticipate in a FET project there are a substantial number of exploitable results in the “direct use”, “Research Activities” quadrant. These will help provide the infrastructure for subsequent research projects that will further develop and mature the Smart Society approach. For example, the middleware and programming models developed at TU Wein are now helping to support projects looking at programming in the context of the Internet of Things and the Incentive Server work from BGU is eing deployed by the SOCIAM project in exploring the role of incentives in the Zooniverse platform.

Because we have limited resources to devote to exploitation of project outputs we have decided to concentrate on those items that are potentially exploitable commercially. The next step of development as described in D10.5 is the development of a business case for the exploitable item. This process is quite intensive so it is essential to prioritise further. Thus we focus on the following (and consider how to prioritise these exploitable items in terms of business potential): • 1 - UNITN - Privacy-protected peer spaces: A framework for building privacy-aware backend servers; share something while keeping control of it (retract/change/see what they have been used for etc.etc.). Users in full control of their own data and their usage by a plurality of services.

• 5 - IMA - Virtual gamified environment: A set of functionalities and services (interoperating with existing ones) for citizens and tourists, who shall actively participate to the system growth

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6 - SOTON - Reputation service: A service by which we can collect feedback reports about a given subject, and a reputation rating is computed. Reputation can be used in various aspects (e.g., for performing matching or to present matches etc.)

8 - UEDIN - Software framework/toolset for building social computation apps: A software framework allowing developers to quickly build collaborative web applications 19 - UH - SmartSociety Platform: An ICT platform supporting the deployment of services/applications with a social computation focus. Supports different computational patterns, ranging from collective intelligence to tasking/crowdsourcing.19 20 - UH - AskSmartSociety!: A tasking/crowdsourcing service based on a Q&A pattern, able to compose both machine-provided services as well as individuals and collectives.

9 - UEDIN - Recommender systems and methods: A generic, not very domain-dependent algorithm for building recommendations 11 - TUW - Middleware for communication with collectives of human/software peers: A framework that can be deployed in the cloud and integrated with different software products that can support the communication/routing/message transformation functionalities among software and humans 12 - TUW - Programming model and algorithms for managing collective teams and tasks: A programming model, language APIs, and a set of algorithms for collectives and tasks lifecycle management.

13 - BGU - SmartShare: SmartShare is a service that arranges shared rides. The service relies on an advanced ICT system built with other Consortium partners. Offered to students in the CS department at BGU as project topic. And get people to deal with challenges around smart applications.

14 - BGU - Incentive server: An open source sw package supporting people to actually execute interventions in community-based applications and services. Reusable, can be customized/adapted to different applications.

16 - BGU - Incentives design for e-learning systems: The expertise developed on incentives and interventions is being applied in other areas (in particular: e-learning/ education) 21 - DFKI - Context recognition algorithms: A solution by which using smart phone sensors and dedicated external sensors if available, the user's context can be identified, described, tagged and forwarded to a database server.

For each of these we have gathered key information from the owner that will allow us to assess the business potential of the item. The next step is to rank them based on the preliminary information provided by partners. The ranking is based on a weighted combination of seven criteria hat attempt to capture the exploitation potential of the Exploitable Results.

The seven criteria are: • Clear market identification: is the target market clearly identified and well specified? Do the target customers represent a homogeneous group? Is customers’ problem clearly identified?

• Direct exploitation: is the partner planning to exploit the knowledge directly?

• Innovation level/type: how much does the knowledge represent an innovation over state-of-the-art?

Is it disrupting the target market? How much does it clearly differentiate from existing solutions?

• Competition: Does competition exist for the proposed knowledge? Is competition fragmented? Are competitors clearly identified?

• Maturity: Is there a prototype available? Has it been tested in the lab and in operational environment? What is the TRL? • Market potential: How big is the target market? How fast is it growing? Has data on market been researched by the knowledge owner?

• Feasibility: What is the potential time-to-market? How many resources need to be mobilised to enter the market?

Each Exploitable Result was scored on each of the criteria assigning scores in the range 0 to 5, 0 being the worst and 5 the best. The scores were assigned by the project Exploitation Manager (D. Miorandi, UH) based on the data provided by the partners and his experience as the VP R&D of U-Hopper. The data was gathered from partners through the form we developed to identify Exploitable Results (this is included as an Appendix).

The results of this ranking process can be seen in the following table. Each column stands for one of the Exploitable Results and the scores are provided for each of the criteria. Four of the Exploitable Results Page 12 of (21) http://www.smart-society-project.eu/

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scored higher than 3.00 on the overall ranking and so we have chosen this group as the initial set of candidates for the development of business and exploitation plans. This work will be carried out during 2016 and should provide strong candidates for activities that showcase the work of the Smart Society project.

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Criteria Clear Market Identification Direct Exploitation Innovation level/type Competition level Maturity Market potential Feasibility TOTAL RANKING

Weight (%) 15.00% 15.00% 20.00% 10.00% 10.00% 20.00% 10.00% 100.00%

Exploitable Result Number 1 2 3 4 3 2 4 2 3.05 4

5 6 8 19 20 9 11 12 13 14 16 21 2 3 3 3 3 3 3 3 5 4 5 4 5 3 3 5 5 2 2 2 1 1 1 1 2 2 4 4 3 2 2 4 3 5 3 3 2 4 3 4 2 2 3 4 1 4 4 1 2 2 2 3 3 2 4 1 4 2 3 4 2 2 4 3 2 3 2 3 3 4 2 3 3 4 3 3 3 2 4 2 3 2 3 4 2.55 2.70 3.30 3.60 3.00 2.35 2.65 2.85 2.90 3.35 2.90 2.85 12 10 3 1 5 13 11 8 6 2 6 9

This ranking is only of those exploitable elements that are suitable for commercial exploitation. The full list is included in D10.5

Deliverable D10.3

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7 Dissemination Report This section provides some supporting detail to the summary table displayed in Section 6. The tables capture some of the key dissemination actions we undertook during year three of the project.

7.1 Website and Social Media The website continues to be the main clearing house for access to papers and other project outputs. The World-Wide Web is an extremely dynamic place and practice changes quite rapidly. One area experiencing rapid change is in the use of downloads. Since the beginning of the project we have used ISSU as an important mechanism to disseminate our work. This has been very successful and we are seeing ever increasing numbers of impressions and reads from ISSU. It has now become the preferred route to access academic output from the project.

7.2 Publications The table below is a summary list of the main academic outputs over year three of the project. This list takes us well over the KPI target for academic output in year three.

2015 Publications Kampis, G., Kantelhardt, J.W, Kloch, K., and Lukowicz, P. (2014): Analytical and Simulation Models for Collaborative Localization, J. Computational Science 6 (2015) 1–10. http://dx.doi.org/10.1016/j.jocs.2014.09.001 Franke, T., Negele, S., Kampis, G. and Lukowicz, P. (2015): Leveraging Human Mobility in Smartphone Based Ad-Hoc Information Distribution in Crowd Management Scenarios, submitted to MobiSys 2015. http://www.sigmobile.org/mobisys/2015/ Heather S. Packer, Dimitris Diochnos, Michael Rovatsos, Ya`akov Gal, and Luc Moreau (2015): Semantics and Provenance for Accountable Smart City Applications, The Role of Semantics in Smart Cities, Semantic Web Journal special issue. (under review) J. Hrncir, M. Rovatsos, and M. Jakob. Ridesharing on Timetabled Transport Services: A Multiagent Planning Approach, Journal of Intelligent Transportation Systems, 19(1):89-105, 2015 Rovatsos, M., Diochnos, D., & Craciun, M. (2015). Advances in Social Computing and Multiagent Systems: 6th International Workshop on Collaborative Agents Research and Development, CARE 2015 and Second International Workshop on Multiagent Foundations of Social Computing, MFSC 2015, Istanbul, Turkey, May 4, 2015, Revised Selected Papers. In F. Koch, C. Guttmann, & D. Busquets (Eds.), (pp. 94–111). Cham: Springer International Publishing. doi:10.1007/978-3-319-24804-2_7 O. Scekic, T. Schiavinotto, D. I. Diochnos, M. Rovatsos, H. Truong, I. Carreras, and S. Dustdar. Programming Model Elements for Hybrid Collaborative Adaptive Systems. In Proceedings of the 1st IEEE International Conference on Collaboration and Internet Computing (CIC 2015), Hangzhou, China, 2015, to appear Segal, A., Gal, Y. (Kobi), Simpson, R. J., Victoria Homsy, V., Hartswood, M., Page, K. R., & Jirotka, M. (2015). Improving Productivity in Citizen Science through Controlled Intervention (pp. 331–337). International World Wide Web Conferences Steering Committee. doi:10.1145/2740908.2743051 © SmartSociety Consortium 2013 - 2017

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George Kampis and Paul Lukowicz. Collaborative Recognition, In Human-Agent Interaction Design and Models, Fifth International Workshop in conjunction with IJCAI 2016, July 9-11. (https://haidm.wordpress.com/haidm-2015/programme/) Mirela Riveni, Hong-Linh Truong, Schahram Dustdar, “Trust-aware Elastic Social Compute Units”, The 14th IEEE International Conference on Trust, Security and Privacy in Computing and Communications (IEEE TrustCom-15), Helsinki, Finland, 20-22 August 2015.

O. Scekic, D. Miorandi, T. Schiavinotto, D. I. Diochnos, A. Hume, R. Chenu-Abente, H.-L. Truong, M. Rovatsos, I. Carreras, S. Dustdar, F. Giunchiglia, SmartSociety — A Platform for Collaborative People-Machine Computation, The 8th IEEE International Conference on Service Oriented Computing & Applications (SOCA’15), 19-21 October 2015, Rome, Italy.

Agnes Gruenerbl, Gerald Pirkl, Eloise Monger, Mary Gobbi, and Paul Lukowicz. 2015. Smart-watch life saver: smart-watch interactive-feedback system for improving bystander CPR. In Proceedings of the 2015 ACM International Symposium on Wearable Computers (ISWC ’15). ACM, New York, NY, USA, 1926.

L. Moreau. Aggregation by provenance types: A technique for summarising provenance graphs. In Graphs as Models 2015 (An ETAPS’15 workshop), London, UK, April 2015.

N. Kwasnikowska, L. Moreau, and J. Van den Bussche. A formal account of the open provenance model. ACM Transactions on the Web, February 2015.

S. Albrecht, J. Crandall, S. Ramamoorthy, E-HBA: Using Action Policies for Expert Advice and Agent Typification, In Proc. AAAI-Workshop on Multiagent Interaction without Prior Coordination (MIPC), 2015.

S. Albrecht, J. Crandall, S. Ramamoorthy, An Empirical Study on the Practical Impact of Prior Beliefs over Policy Types, In Proc. AAAI Conference on Artificial Intelligence (AAAI), 2015.

M. Rovatsos, D. Diochnos, and M. Craciun. An Architecture for Coordinating Agent Collectives on the Web. Paper submitted to AAMAS 2015, Istanbul, May 5-9, 2015. Under review.

Muhammad Zuhri Catur, Hong-Linh Truong, Schahram Dustdar, "Analyzing Reliability in Hybrid Compute Units", 1st IEEE International Conference on Collaboration and Internet Computing, October 27 - October 30, 2015, Hangzhou, China S. Albrecht, S. Ramamoorthy, Are you doing what I think you are doing? Criticising uncertain agent models, In Proc. Conference on Uncertainty in Artificial Intelligence (UAI), 2015.

A.H. Cruickshank, R. Shillcock, S. Ramamoorthy, Predicting actions using an adaptive probabilistic model of human decison behaviours, Poster, In Ext. Proc. Conference on User Modelling, Adaptation and Personalization (UMAP), 2015.

Ognjen Scekic, Hong-Linh Truong, and Schahram Dustdar, Supporting Multilevel Incentive Mechanisms in Crowdsourcing Systems: an Artifactcentric View, In Crowdsourcing: Cloud-Based Software Development, (c) Springer-Verlag, 2015

We have experienced some difficulties in collecting all of the academic output for year three. We know there are several papers in review and that there has been some underreporting of publications because consortium members are heavily loaded with theoretical work, development and experimentation. We believe we are close to achieving our month 48 targets in most of the KPIs detailed in the DoW. During 2016 we will improve our capture process to improve capture and to ensure our Mendeley and Zotero databases of project outputs are close to complete and are of high quality.

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7.3 Community The table below documents talks given by SmartSociety consortium members in 2015.

We continue to work closely with a range of partner projects in developing the CAS research community: • •

•

•

The ESSENCE ITN provides good linkage with PhD training in the area and members of the SmartSociety project are actively involved in this group.

We ran a panel session at ICT Days in Trento in March 2015 the goal of this was to look at controversies around the Smart Society ideas to a technical audience. The approach of focussing on controversies was successfula the we believe the session was effective in communicating Smart Society ideas.

The HAIDM 2015 workshop saw six of the 20 or so papers accepted coming from the SmartSociety consortium. This was collocated with the AAMAS meeting in Istanbul. It successfully focussed attention on the hybridity aspects that are central to the work of Smart Society The FoCAS CSA provides activities to cohere the FoCAS group of projects. In 2015, SmartSociety members participated in: o Contributions to the FoCAS newsletter. o A three-day roadmapping activity in Bologna in July. SmartSociety made strong contributions in the area of HDA-CASs. This has now been incorporated into the overall FoCAS roadmap. o SmartSociety provided the chair for the “Perspectives on Collectives” networking session in Lisbon at ICT 2015. This was a very successful meeting. The room was completely full and included a number of commission staff who suggested follow-up areas of work.

SmartSociety proposed a workshop independently of FoCAS and as part of the FoCAS effort. Our independent proposal was rejected.

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Participated fully in the FoCAS video spring to help generate videos to showcase the FoCAS activity. o Quanticol and Allow Ensembles: we continue to meet and discuss joint work with these FoCAS projects. It is likely that we will see joint papers in the coming 12 months.

SOCIAM/Zooniverse: This is a particularly productive collaboration because Zooniverse is fully deployed and so can generate data from a large population of users. The main focus has been on a range of experiments in the use of incentives. This has seen: o The use of the incentive server as an experimental tool for joint work between SOCIAM and SmartSociety. o The deployment of the incentive server as a component in the Zooniverse infrastructure.

ITEE: Edinburgh is working on this WIDESPREAD stage 1 project to build a business case for a Centre of Excellence in the Connected Digital Economy much of the thinking around the Centre is being influenced by the work of the SmartSociety project.

EIT Digital: DFKI, Trento and Edinburgh are all fully engaged with EIT Digital projects including the Health High Impact Initiative and work on Secure Cloud have seen the involvement of two or more SmartSociety consortium members. Work form SmartSociety continues to influence participation in the translational work of EIT Digital. o

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Prospectively, we are planning to undertake the following actions to extend the HDA-CAS community: • 17-18 Feb 2016 Alan Turing Institute Workshop “Algorithm Society”: Organised by Edinburgh and Oxford, this workshop will explore the role of algorithms embedded in large-scale CASs are shaping our society. The goal is to explore the ethics and policy area using ideas developed in WP1 as well as technical areas such as incentives and the sharing economy.

• 9-11 July HAIDM workshop collocated with IJCAI. This continues the Smart Society association with this workshop and provides us with a venue for scientific dissemination of SmartSociety work at IJCAI. • 29 Aug-02 Sep ECAI workshop on Diversity: We see this as our key activity to help resolve our failure to meet the workshops KPI. Over the past 12 months the project has been exploring diversity and how it can be managed and exploited in HDA-CAS systems. This workshop will be an opportunity to bring together the diverse communities working on diversity in an attempt to refine our approach to the topic.

• We will continue to work with the ESSENCE ITN in the delivery of summer school and workshop activity as part of their PhD training programme.

• We also anticipate proposing a networking session and stand at ICT 2016 towards the end of 2016.

7.4 Innovation Section 6 reports on the work of task 10.5 on the identification and prioritisation of exploitable results.

This work was undertaken during 2015 and has resulted in a prioritised list of exploitable results.

During 2016 we will work with those at the top of the prioritised list to develop sound business cases and take the work forward to explore the extent to which it is possible to productize these exploitable results.

A major initiative during 2015 has been the development towards the deployment of the Smart Share system in two Italian municipalities. This has been challenging in terms of effort, development towards a reliable, trustworthy and deployable system, and in terms of ensuring the legal and ethical frameworks are in place so we can provide a service and use suitably anonymised data for research.

The deployment is now in the final stages of ethical approval and we expect deployment shortly. This provides us both with a rigorous test of the robustness of our solutions and it provides the perfect platform for public understanding of our technologies.

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http://www.smart-society-project.eu/

Deliverable D10.3

© SmartSociety Consortium 2013 - 2017

7.5 New Proposals In 2015 there were no new proposals from the bulk of the SmartSociety consortium. We are currently considering two calls in 2016: • FETPROACT-01-2016: In the area of “Future Technologies for Societal Change” where we believe much of the work of the SmartSociety project is relevant.

• ICT-24-2016: in the area of gaming and gamification looking at building shared representations for collectives.

7.6 Public Understanding In discussion with the FoCAS group we looked at the issues arising in enabling public understanding of FoCAS work. We believed that much of the work was difficult to communicate effectively to nontechnical people. This led us to a two-fold strategy: • Communicate to a wider technical audience to get SmartSociety ideas into circulation in the technical world. This led to activites such as our panel at ICT Days 2015 in Trento and our panel session at the IFIP summer school on Privacy and Security.

• We also believe that the Rideshare deployment is an opportunity directly to showcase the work of the project. As the deployment goes ahead we will prepare materials to provide a better insight into the technology for users.

8 Conclusion In year three the SmartSociety project continued to deliver high-quality academic output and engagement with the scientific community. In addition it has developed techniques, tools and platforms that allow realistic, at scale, implementations of our techniques to be tested “in the wild”.

This is being carried on inside a sufficiently strong ethical framework that we can publish results of these experiments. The ethics and governance framework also provides a basis for debate on the societal use of CASs and we have debated some of these issues with a technically informed public in at least two venues. SmartSociety project members have also established good working relationships with other projects and outputs from SmartSociety are being deployed in operational systems and are being used to support experimentation. In addition, we have a robust mechanism to identify and prioritise exploitable results that has created a prioritised list of exploitable results that will be the subject of additional work to help “productize” the most promising results.

© SmartSociety Consortium 2013 - 2017

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Deliverable D10.2

Š SmartSociety Consortium 2013 - 2017

Annex A

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Exploitable Result Data Collection Form

http://www.smart-society-project.eu/

Deliverable D10.3

Annex B

Š SmartSociety Consortium 2013 - 2017

Publicity for Rideshare Deployment

Š SmartSociety Consortium 2013 - 2017

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