Datathon Kick-off Event 1 November, 2016 Active Public Space Analyze. Ideate. Propose. Welcome and agenda for today • What and why • Topics and questions • Data • Schedule and setup Lucia Štefánková Deputy Director for Development and PR at CERGE-EI 2 What and why • What and why • Topics and questions • Data • Schedule and setup Iva Kleinová Program Director MA in Applied Economics at CERGE-EI 3 What is the Datathon and why are we doing it? 1 Give students an ability to test and improve their data analytical skills on real world data. Part of Economics Discovery Hub and organized by MA in 2 Give IPR and the city of Prague Applied Economics program some food for thought on what they can improve. through which we try to help students improve their skills in data analysis with impact 3 Provide specific policy suggestions and/or entrepreneurial ideas for how to solve problems. 4 Who is organizing the Datahon? With generous data and/or mentoring help from: 5 Who will be involved - roles? Jury Jury members will use the following criteria for evaluation: - Using Lean Kick Box Canvas - Feasibility - Originality and innovation of the solution Mentors Mentors will help the teams with their work in various areas: working with data, urbanism, idea generation, using lean canvas…Mentors will be available during whole Saturday and on Sunday before lunch. Organizers Organizers will make sure that you have data to work with, topics to work on and you are fed during the event. They will be there in case you need anything. Who will be involved - names? Jury Gabriel Ahlfeldt (LSE) Bernhardt Sommer (University of Applied Arts in Vienna) Mathilde Marengo (IACC) Lucia Štefánková (CERGE-EI) Regina Loukotová (ARCHIP) Igor Kovačevič (CCEA) IPR representative (tbc) Mentors Working with data: Lucie Zapletalová (CERGE-EI), Mariia Kosar (CERGE-EI), Taras Hrendash (CERGE-EI), Lukáš Makovský (IPR), Irakli Barbakadze (University of Tartu), Youjun Shin (University of Tartu), Tomáš Křehlík (IES), Tomáš Zelinský (TUKE), IBM Data Experience Platform: Michal Polena (IBM) GIS data: Eliška Kyzlíková (IPR) Urbanism: Karin Grohmannová (CCEA), David Neuhaus (ARCHIP), Bára Šimonová (ARCHIP), Strategy and ideation: Yvette Vašourková (CCEA), Eva Hromádková (CERGE-EI) Organizers CERGE-EI organizational team: Maya Kopecká, Lucia Štefánková, Karolína Břízová, Callum Cope, Neesha Kaur Topics and questions • What and why • Topics and questions • Data • Schedule and setup Yvette Vašourková Founder Centre for Central European Architecture (CCEA) 8 Datathon: Active Public Space The workshop aims: to analyse city data from both perspectives - the Top-Down and the Bottom- Up to develop ideas related to city data in order to improve the actual city spaces. How can data help to actively shape cities? How can we activate public space by data usage? How can citizens collect data and actively shape their city? This workshop will focus on exploring new solutions and possibly directly intervene on the city data of Prague. 9 Topic: How do we enable an active public space? Urban Movements Think: How do people move around the city for work and leisure? effect of limited parking zones, multi-transport migration for work and What are effective transportation tools for future leisure, city? guidebooks for business development, home-office infrastructure, How should we transform public transporation for cycling, today needs? alternative transportation tools, shared car system Have some groups been privileged while others public transportation neglect zones… neglected in their travels? public transportation as complex system Will future developments in the way we work and have fun affect our transportation needs? 10 Topic: How do we enable an active public space? Diverse City Think: Is Prague ethnically, religiously, zones of greatest ethnic and cultural socioeconomically and culturally diverse? diversity; Where and where not? prediction of future gentrification and Has Prague drab or diverse districts? possible cultural clash zones; Should any specific lifestyles or economic zones where city might want to impose backgrounds be promoted? How and where? social housing; How does safety factor into the diversity equation? creation of distributed refugee housing; Can our data give us any clues? restaurant startup guides… How to balance varied situations in urban space? 11 Topic: How do we enable an active public space? Bottom up impact Think: How can virtual distributed tools allow for a more participative urbanism? data from experimental projects; How can more data be generated? shared infrastructure for business data sharing; statistically significant, What kind of data is currently needed but not collected to solve the city’s problems? unbiased data sources for public policy making, and more. What are some innovative ways to collect this information? How can citizens activate public space? 12 Datathon: Follow up Workshop will be followed by a sitespecific intervention to Theimprove workshop a public aims :space in Prague. to analyseThe Datathoncity dataparticipants from both willperspectiveshave opportunity - the Topto-Downdevelop and a the Bottom- Upproposal for an intervention scheme, based on their analysis to developconducted ideas during related Datathon to city .data in order to improve the actual city spaces. This intervention will be installed and its impact tested within How2- 3can months data helpafter to the actively Datathon shapeevent cities? in a specific location in HowPrague can we. activate public space by data usage? How can citizens collect data and actively shape their city? viaduktkreativni.cz This workshop will focus on exploring new solutions and possibly directly intervene on the city data of Prague. 13 Data • What and why • Topics and questions • Data • Schedule and setup Mariia Kosar PhD student CERGE-EI 14 The main unit of analysis will be 920 microdistricts in Prague 014133 131491 Březiněves 316971 131512 316962 131504 131521 130788 130001 317101 130770 130800 130818 130826 130796 Čakovice 131482 130010 Dolní Chabry 131555 130583 130591 131547 131474 130028 130613 131563 Ďáblice 131466 129992 130605 Suchdol 130567 Praha 18 129984 130753 130575 130621 130346 131571 129968 130761 130397 130401 130427 131458 131580 130036 130541 305979 130834 130044 130338 318256 129941 130559 130630 306355 182371 Praha 8 130435 306401 130486 317047 129950 130362 130648 Přední Kopanina 130052 130532 130371 130842 131431 306380 Praha 18 131440 131601 Vinoř 134376 129933 130524 316954 306347 306398 317039 Lysolaje 322326 130508 131415 306363 129917 130745 130851 318469 130516 130478 131628 129925 306371 131610 131423 130443 130192 306339 129461 131636 129895 130737 305995 Praha 19 306410 Nebušice 305987 131407 131172 Troja 130699 Praha 19 129861 Praha 8 130672 130656 131393 131644 129879 129470 131156 129887 130206 130869 131652 130184 131181 306428 130729 320528 129828 320536 131148 129836 130061 131377 129488 130711 130702 129453 131385 129496 130214 198056 129445 130222 130877 131130 131164 146137 130176 317128 131199 129500 131016 131369 Satalice 130231 130893 131121 306444 317080 129429 130079 129844 129437 129275 Praha 7 131113 306436 306517 129518 130249 317110 131024 130168 130885 131105 129852 130281 324906 129411 129267 130257 131008 131351 131202 Praha 6 130087 Praha 7 317217 129526 130109 131032 131661 129763 129283 130907 131288 129810 129402 131342 131091 306495 129259 130141 130273 306509 129801 130133 130117 131318 317071 129798 130125 130265 Praha 9 Praha 6 129399 129534 130095 131334 129356 129291 131067 305928 305961 130311 Praha 9 131211 043770 129755 305936 316997 131059 317004 317209 317195 129364 129542 130290 130915 317021 129551 131300 131041 129747 306321 129780 130320 131270 306291 129348 305944 130991 131261 129372 129330 129305 130303 316989 127132 305952 130923 131253 131237 317136 131679 127159 131326 306461 Praha 20 Praha 20 129381 130940 324892 129739 306282 129321 127124 127019 130982 131296 043788 318272 131229 306479 317225 317241 129640 130958 130931 127434 317012 129712 129607 127001 127035 306487 129721 129585 127094 127141 130966 127426 131245 317187 306452 Praha 1 Praha 14 Praha 1 127027 127442 131768 131687 127116 127043 130974 127400 131784 129593 127345 131750 318281 306304 127108 318264 Praha 3 127337 Praha 14 306525 129631 129569 126993 127418 317098 129615 127582 127396 127353 127451 129658 320773 127051 131695 316946 128996 127469 306011 131741 043796 317233 129704 129313 305782 Praha 3 317152 318302 129038 127213 127574 127388 315761 131776 317161 306541 128937 128945 127566 127370 306266 Praha 17 127078 127361 318299 316377 129020 127086 132471 329738 127060 127485 132454 131709 306827 128988 129003 127230 127558 131717 317373 193259 129046 127221 306274 129674 128953 129011 305871 132462 305758 127531 318337 317055 317268 316458 128970 128961 127248 Praha 17 127205 127540 127493 132411 132438 Dolní Počernice 129666 129054 127329 127191 128791 132446 306312 131733 317063 306002 Zličín 128775 127167 317454 065447 316431 128783 128805 127523 132403 132390 Praha 2 127515 127507 317381 Klánovice 193267 128911 129062 127256 317365 132501 131725 317250 127183 305774 127175 132314 132420 131962 317462 306550 155527 305880 127311 029955 128767 128678 132357 128902 128813 Praha 2 132276 132306 316920 129071 132284 029963 317284 127272 132268 132381 132373 131954 316369 128660 305898 320595 128759 132250 132292 132489 317357 316911 305791 127264 132331 132349 306029 320544 129089 131971 320609 128686 127281 128180 318345 306258 155535 127302