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My unfunded projects WAI talk


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My unfunded projects WAI talk.

this talk describes three as-of-yet unfunded projects:
1. LAVAIK: interacting with IATI Linked Data
2. ICONS: Icon based user interaction for mobile phones in developing countries
3. the Dance project with all kinds of names

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My unfunded projects WAI talk

  1. 1. My Unfunded Projects Victor de Boer WAI meeting 21-10-2013 img: Flickr/Kalexanderson
  2. 2. My Unfunded Projects 1. LaVAIK: Linking and Visualising Aid information Kit 2. ICONS 3. Dance project
  3. 3. 1. ICONS: Interaction design for lowliteracy communities
  4. 4. • Integrate local community radios and mobile ICT for knowledge sharing • Better support and integrate local languages in voicebased services – Development of appropriate speech elements (textto-speech and Speech recognition) • Develop a free and open source toolbox for local developers. – Investigate self-sustainability – Develop appropriate business models – In collaboration with local communities.
  5. 5. Feature phones
  6. 6. Icon-based interaction
  7. 7. Icon-based interaction NCR ATM interface for illiterate 'grammar' - ISOTYPE by Otto Neurath available at
  8. 8. ICONS
  9. 9. What happened? • FP7-ICT-2011-9 – – – – International partnership building and support to dialogues April 2012 Particip Participant organisation name Country ant 10 partners 1 (c) GEIE ERCIM France 2 (sci.c.) World Wide Web Foundation Switzerland 104 pages 3 4 • Did not pass first round – Not detailed enough on Req elicitation methodology – Management structure / budget issues Telecom 5 Council for Scientific and Industrial Research VU University Amsterdam Neth. 6 Sahel Eco Mali 7 Université Cheikh Anta Diop de Dakar Senegal 8 Di Maquina UK 9 VU University Amsterdam Neth. 10 Nokia Finland
  11. 11. LaVAIK: LINKING AND VISUALISING AID INFORMATION KIT • International Aid Transparency Initiative (IATI) “IATI is a voluntary, multi-stakeholder initiative that seeks to improve the transparency of aid in order to increase its effectiveness in tackling poverty.” • IATI registry (190+ organisations) – “IATI Data Registry, the place to find IATI raw data in XML format.”
  12. 12. IATI Stakeholders • • • • Funders o Where is the money of my organisation spent? o Where do other organisations spend their money? Governments o How much money is spent in my country? o What are the budgets or planned disbursements for my country? Public o Where is my tax money going? o What are the organisations doing with my donations? Locals o What organisations are working in my area? o What projects are currently going on in my area?
  13. 13. Linked Data for IATI Kasper Brandt, MSc Artificial Intelligence 1. A IATI Linked Data model is created based on requirements elicited from interviews with experts. 2. Datasets are linked to the Linked Data model based on IATI experts’ needs. 3. Linked Data applications are created, showing that linking IATI data adds value to the data and is able to fulfill the needs of IATI users. 4. Our approach and requirements are reusable for converting an open dataset to a Linked Data model in general
  14. 14. Linked Data model - Triple store Python • • • RDFLib Triples loaded into a ClioPatria triple store: o o Sparql endpoint – Dereferenceable URIs (!) ( Total number of triples: 36,629,017 Total number of named graphs: 4,790 o Largest activities graph is UNOPS containing 1,231,896 triples RDF/Turtle
  15. 15. Linking datasets
  16. 16.
  17. 17. Project goals Inst. of Development Studies LOD Sahel Pluvial data UN HAbitat 1. We will convert all the IATI datasets available to Linked Data. 2. Convert related open datasets and indicators from UNHabitat, Worldbank and OECD to Linked Data. 3. Citizen Journalism data Worldbank OECD Generate contextualized links between produced datasets as well as existing datasets on the Web of Data. – – 4. Link to Landportal Link to local (Malian) rainfall / market data Provide a web-based toolkit for multimodal and interactive access to the enriched Linked Aid Data. RadioMarché Linked market data Web interface IATI data
  18. 18. What happened? • Grand Challenges Round 11 – Increasing Interoperability of Social Good Data – 3 pages – 4 partners: • • • • VU DANS (Christophe) Zimmerman & Zimmerman Akvo • 2700 proposals!
  19. 19. 3. Dance project (EXMO, EM2)
  20. 20. Proposal: choreography assistant tool Choreography Representation Presentation generation + Sensing Reasoning Sensing data Choreography variation Presentation • Motion detection • Dance movement representation • Visual presentation • Floor sensors • Dance choreography representation • 3-D animation • Move recognition • Use of background knowledge • Auditory presentation • Pattern detection • Choreography generation
  21. 21. Sensing • Motion capture – Marker-based – Marker-less • Joint rotations, limb positions etc. – unintuitive • Backup: Video annotation img:
  22. 22. Representation languages of human movement: Labanotation
  23. 23. Labanotation
  24. 24. LabanXML and Laban Editor Nakamura & Hachimura (2006) LED Labanotation editor
  25. 25. Dance Forms
  26. 26. Benesh
  27. 27. Cecchetti system • 7 elementary movements: [plie (bend), etandre (stretch), releve (rise), sauter (jump), glisse (glide), tourne (turn), elancer (dart)] • Positions: 1st, 2nd, 3rd,.. (left right croise) • Facing position (1…8) • Position in space • Direction of movement (de cote, dessous, dessus, en avant, en arriere, devant, derriere) • Combinations (100+) pas-dechat, pas-de-bourre, piroutte Based on interview with Marije Koning
  28. 28. XML Dance Grammar Balakrishnan Ramadoss and Kannan Rajkumar. Modeling the Dance Video Semantics using Regular Tree Automata Fundamenta Informaticae 86 (2008) 175–189 175 IOS Press
  29. 29. Representation and Reasoning • Multi-tiered model – Low-level image features – Atomic movements (Labanotation?) – Compound movements (100+ movements) – Emotional content, Socio-cultural layers etc. • Machine Learning for classification and pattern detection – Generative module (automatic choreographer)
  30. 30. Presentation
  31. 31. What happened? 1st try: – FP-7 Future and Emerging Technologies Open Scheme (FET Open) • nov 2011 – VUA, UvA (Frank Nack), School of Interactive Arts and Technology – SFU California, Laboratoire d'Informatique pour la Mécanique et les Sciences de l'Ingénieur , Palindrome, Unige – Not accepted (High impact?) 2nd try: More healthcare oriented (VU movement science) 3rd try: NWO Creatieve industrie (2012) – VU, UVA, Utwente (Vanessa Evers, Ronald Poppen, Dirk Heylen) – Industry partner… 4th try?
  32. 32. So… • Not every project gets accepted  – Re-use some components for talks • None of these is really dead – If you’re interested in any one of these, come talk to me 