1 00:00:06,105 --> 00:00:08,048 (Shani) Good morning, everyone, 2 00:00:08,048 --> 00:00:10,965 and welcome to the Wikidata and Education panel. 3 00:00:12,998 --> 00:00:17,292 We're just happy anyone is here because there are four amazing sessions 4 00:00:17,292 --> 00:00:20,368 happening all at the same time so thank you for showing up. 5 00:00:20,368 --> 00:00:24,910 - (audience 1) We're happy you're here. - (Shani) Yes, we are also happy and we-- 6 00:00:25,250 --> 00:00:26,691 Yes, yes, yes. 7 00:00:26,691 --> 00:00:29,554 I mean, really all the sessions are really good 8 00:00:29,554 --> 00:00:33,427 so this is for the people at home, if you're watching something else, 9 00:00:33,427 --> 00:00:37,883 please come watch us later or vice versa because there's a lot of awesomeness 10 00:00:37,883 --> 00:00:39,084 in this conference. 11 00:00:39,084 --> 00:00:42,691 So good morning again and just to be clear 12 00:00:42,691 --> 00:00:45,448 on what to expect from this session, we're going to have 13 00:00:45,448 --> 00:00:48,793 a really quick introduction of these amazing people 14 00:00:48,793 --> 00:00:51,215 that are assembled here today. 15 00:00:52,145 --> 00:00:55,718 We're going to do an introduction of around three minutes each, 16 00:00:55,718 --> 00:00:58,876 and then we're simply going to have a chat. 17 00:00:58,876 --> 00:01:02,019 We're going to discuss education and Wikidata 18 00:01:02,019 --> 00:01:05,092 and what could be done together and hopefully we can then 19 00:01:05,092 --> 00:01:09,095 open the floor to questions but do feel free to basically interrupt us 20 00:01:09,095 --> 00:01:11,754 if you have something burning and you really want to know 21 00:01:11,754 --> 00:01:13,411 the answer to. 22 00:01:13,411 --> 00:01:15,240 So without further ado, 23 00:01:16,110 --> 00:01:17,839 let's meet our panelists. 24 00:01:18,459 --> 00:01:20,180 And the first is João. 25 00:01:20,180 --> 00:01:21,857 (João) So, hi, everyone. 26 00:01:21,857 --> 00:01:23,756 Is it working? 27 00:01:23,756 --> 00:01:28,742 Yup, okay, so my name is João Peschanski, username Joaolpe. 28 00:01:28,742 --> 00:01:32,277 I'm a member of the user group, Wiki Movimento Brasil 29 00:01:32,277 --> 00:01:34,889 and the user group, Wikipedia and Education. 30 00:01:35,409 --> 00:01:37,083 And I'm a university professor, 31 00:01:37,083 --> 00:01:39,812 particularly in the Department of Social Communications 32 00:01:39,812 --> 00:01:43,570 where I teach Computational Journalism Media studies. 33 00:01:44,020 --> 00:01:47,688 - And I have two slides, I'm not sure-- - (Shani) Tell me when to switch. 34 00:01:47,688 --> 00:01:49,386 Okay, yeah, you can switch. 35 00:01:49,386 --> 00:01:53,514 So I will just mention two projects that to some extent, 36 00:01:53,514 --> 00:01:57,178 give a background of what I'm-- what my understanding of the connection 37 00:01:57,178 --> 00:02:00,172 of Wikidata and educations are. 38 00:02:00,172 --> 00:02:04,327 So the first project is the idea 39 00:02:04,327 --> 00:02:10,712 of using Wikidata as an instrument for Wikipedia, both and mostly to create 40 00:02:10,712 --> 00:02:16,096 more meaningfulness and efficiency in the process of working with my students 41 00:02:16,096 --> 00:02:19,545 so this was a project done twice. 42 00:02:19,845 --> 00:02:24,641 In which my students created true structure narratives 43 00:02:24,641 --> 00:02:30,441 based on Wikidata, entries for Wikipedia in Portuguese on elections. 44 00:02:30,441 --> 00:02:36,709 There were around 400 entries created and the idea is to have my students 45 00:02:36,709 --> 00:02:42,393 not feel the idea that editing Wikipedia, 46 00:02:42,393 --> 00:02:45,153 particularly tables, is boring. 47 00:02:45,153 --> 00:02:50,703 So it provides a gigantic structured draft based on Wikidata. 48 00:02:50,703 --> 00:02:54,736 So it provides more efficiency and effectiveness for the students. 49 00:02:55,036 --> 00:02:57,270 If you could go to the second one. 50 00:02:57,840 --> 00:03:01,561 And we can talk later if you're interested I provide a lot of links. 51 00:03:01,561 --> 00:03:06,343 And so the second case is one that I'm running right now. 52 00:03:06,343 --> 00:03:11,377 So in Brazil, there were four distinct investigations 53 00:03:11,377 --> 00:03:15,658 of human rights crimes committed during the military dictatorship, 54 00:03:15,658 --> 00:03:17,806 two by the government, one by intellectuals, 55 00:03:17,806 --> 00:03:22,775 one by family members of killed and disappeared people in Brazil. 56 00:03:22,775 --> 00:03:25,803 And as they were completely autonomous 57 00:03:27,923 --> 00:03:31,993 and diverse, data that they collected was conflicting. 58 00:03:31,993 --> 00:03:36,088 So we are using Wikidata as a way of dealing 59 00:03:36,868 --> 00:03:41,707 with conflicted information, disagreeing data, knowledge diversity. 60 00:03:41,707 --> 00:03:46,410 And having my students work as curators of the information, 61 00:03:46,410 --> 00:03:50,116 in which we don't impose one over the other but we try to understand 62 00:03:50,116 --> 00:03:54,267 the context and methodology of the information that was created 63 00:03:54,267 --> 00:03:59,297 and there is, of course, actual results 64 00:03:59,297 --> 00:04:00,937 and there is a dashboard you can check, 65 00:04:00,937 --> 00:04:04,346 but I would just point on this one, a recent Wikidata live training 66 00:04:04,346 --> 00:04:07,190 that we had with Denny Vrandecic on disagreeing data 67 00:04:07,190 --> 00:04:10,586 and knowledge diversity that has actually informed the way 68 00:04:10,586 --> 00:04:16,198 we are working the methodology around this particular project. 69 00:04:16,198 --> 00:04:18,138 - And I thank you. - (Shani) Thank you so much. 70 00:04:18,138 --> 00:04:19,488 Next is Ewan. 71 00:04:24,418 --> 00:04:26,182 (Ewan) Yes, so, hi, my name is Ewan. 72 00:04:26,182 --> 00:04:30,289 I work as the Wikimedian in Residence at the University of Edinburgh. 73 00:04:30,289 --> 00:04:34,034 It's a partnership between Wikimedia UK 74 00:04:34,034 --> 00:04:36,498 and the University of Edinburgh looking at ways 75 00:04:36,498 --> 00:04:41,659 in which we can benefit from and contribute to the Wikimedia projects. 76 00:04:41,659 --> 00:04:45,480 We're working with about ten different course programs at the moment. 77 00:04:45,480 --> 00:04:49,333 And we're on the verge of publishing our first booklet of case studies 78 00:04:49,333 --> 00:04:54,766 of how Wikimedia is being used in education in the U.K. 79 00:04:55,036 --> 00:05:00,415 In particular, we've been working with Data Science for Design Masters students 80 00:05:00,415 --> 00:05:02,578 for about three years now. 81 00:05:02,578 --> 00:05:07,439 And the course leaders on that course approached myself 82 00:05:07,439 --> 00:05:12,466 after me and Navina Evans, who's behind Histropedia, around a workshop 83 00:05:12,466 --> 00:05:17,303 at Repository Fringe conference focused on Wikidata, 84 00:05:17,303 --> 00:05:20,902 and they were really interested in teaching data science 85 00:05:20,902 --> 00:05:24,035 through working with real world data sets. 86 00:05:24,615 --> 00:05:27,905 And so what they do is they host a data fair 87 00:05:28,505 --> 00:05:32,663 every year in October where people from around Edinburgh, 88 00:05:32,663 --> 00:05:36,888 around Scotland, different institutions come and pitch a data set 89 00:05:36,888 --> 00:05:40,113 to the students on the Masters program there 90 00:05:40,113 --> 00:05:44,936 to work with intensively over a seven-week period. 91 00:05:44,936 --> 00:05:47,694 It's a three minute sort of speed dating exercise 92 00:05:47,694 --> 00:05:51,599 where a data set is pitched and the students organize themselves 93 00:05:51,599 --> 00:05:54,917 into groups of three and they then... 94 00:05:56,027 --> 00:06:01,854 analyze the data set, work with it and they want to tell engaging visual-- 95 00:06:02,634 --> 00:06:05,443 visualizations with those data sets. 96 00:06:05,443 --> 00:06:09,513 So of the 15 data sets that were pitched by places 97 00:06:09,513 --> 00:06:12,470 like The National Library of Scotland, National Records of Scotland, 98 00:06:12,470 --> 00:06:17,039 I pitched this data set which is The Survey of Scottish Witchcraft database 99 00:06:17,039 --> 00:06:19,559 which is one of the University of Edinburgh's own 100 00:06:19,559 --> 00:06:23,116 and it was in a Microsoft access database. 101 00:06:23,116 --> 00:06:27,451 And it basically has all the records of witch trials in Scotland 102 00:06:27,451 --> 00:06:33,194 from 1563 to 1736, stored in a static access database 103 00:06:33,194 --> 00:06:36,612 and we just pitched to the students what could they do 104 00:06:36,612 --> 00:06:39,518 if they turn that into linked open data. 105 00:06:39,928 --> 00:06:43,543 And we did that over two years and that leveraged some money 106 00:06:43,543 --> 00:06:46,739 to hire a Women in STEM student, 107 00:06:46,739 --> 00:06:52,003 become an intern for three months and she had a background in GIS. 108 00:06:52,643 --> 00:06:55,058 So we asked her to look at all the place names mentioned 109 00:06:55,058 --> 00:06:59,585 in the data set so that she could then plot all of these witch trials, 110 00:06:59,585 --> 00:07:04,156 all of these accused witches on a map which now exists on this website 111 00:07:04,156 --> 00:07:07,675 which was live as of a month ago. 112 00:07:07,675 --> 00:07:09,715 And we're now pitching to the students 113 00:07:09,715 --> 00:07:15,124 a further project of now that the information is on Wikidata, 114 00:07:15,124 --> 00:07:20,303 can we do some network analysis of seeing who the main influencers were 115 00:07:21,703 --> 00:07:25,620 and link it up that much better and have a really rich understanding 116 00:07:25,620 --> 00:07:27,235 of this period of history. 117 00:07:27,525 --> 00:07:29,021 Okay, that's me. 118 00:07:30,561 --> 00:07:32,544 (Shani) And next-- Thank you so much, Ewan. 119 00:07:32,544 --> 00:07:34,574 - Next is Debora. - (Debora) Hi, thank you. 120 00:07:34,574 --> 00:07:36,445 Thank you, guys all for being here. 121 00:07:36,925 --> 00:07:40,022 I have been a Wikipedia author for forever 122 00:07:40,022 --> 00:07:44,033 and I'm a professor for Computer Science here in Berlin 123 00:07:44,033 --> 00:07:46,290 at a local engineering college. 124 00:07:47,350 --> 00:07:53,016 I've been teaching a course called Semantic Modeling since about ten years. 125 00:07:53,386 --> 00:07:58,065 And in the past three recent years, I've started using Wikidata 126 00:07:58,065 --> 00:08:01,852 as one of the examples for what we're actually doing. 127 00:08:01,852 --> 00:08:05,065 Do you want to go onto the next one, please, Shani, thank you. 128 00:08:05,065 --> 00:08:09,874 What we're doing is this project called, University Degrees. 129 00:08:09,874 --> 00:08:11,831 Now the students start off with the background 130 00:08:11,831 --> 00:08:13,794 that they've learned all the traditional stuff 131 00:08:13,794 --> 00:08:19,077 about RDF and OWL and using Protege and it hurts and it's stupid 132 00:08:19,077 --> 00:08:20,699 and I hate this. 133 00:08:22,169 --> 00:08:25,007 So after we've been through the fire of that, 134 00:08:25,007 --> 00:08:27,684 then we graduate to Wikidata. 135 00:08:27,684 --> 00:08:32,240 And we decided to model this microscopic part of the universe 136 00:08:32,240 --> 00:08:35,162 called University Degrees because we're a university 137 00:08:35,162 --> 00:08:37,297 and we know all about university degrees. 138 00:08:37,297 --> 00:08:41,599 And because there is a database available in Germany called Anabin 139 00:08:41,599 --> 00:08:46,354 that has all of the data, theoretically, in it on degrees that are granted. 140 00:08:46,354 --> 00:08:49,036 I use it as a member of the admissions committee 141 00:08:49,036 --> 00:08:52,068 for our Masters program to see if a Bachelors degree program 142 00:08:52,068 --> 00:08:53,753 is accredited or not. 143 00:08:53,753 --> 00:08:54,781 And so the idea was, 144 00:08:54,781 --> 00:08:57,582 "Well, we'll just dump Anabin into Wikidata." 145 00:08:57,582 --> 00:09:02,312 Then we learned that reality is much, much worse than this actually is. 146 00:09:02,312 --> 00:09:05,006 So what they end up doing is choosing a country, 147 00:09:05,006 --> 00:09:07,895 they researched the university structure there, 148 00:09:07,895 --> 00:09:13,551 usually just pick one or two universities and then try to model the degrees 149 00:09:13,551 --> 00:09:14,567 that are granted. 150 00:09:14,567 --> 00:09:17,632 We got a property accepted called Grants 151 00:09:17,632 --> 00:09:20,827 that a university grants this degree and the idea is we can see 152 00:09:20,827 --> 00:09:25,049 what degrees are granted by a university and when we go to a person 153 00:09:25,049 --> 00:09:27,951 that we can model which degree they actually have. 154 00:09:27,951 --> 00:09:31,057 Now we've ended up with a lot of problems and I have some modeling problems 155 00:09:31,057 --> 00:09:33,083 I can't model in Wikidata. 156 00:09:33,083 --> 00:09:36,155 If anybody have some great ideas, I'd love to talk to you about it 157 00:09:36,155 --> 00:09:39,133 because we have the issue of double degrees 158 00:09:39,133 --> 00:09:40,644 and double majors. 159 00:09:40,644 --> 00:09:44,123 And there's all sorts of monsters running around Wikidata called 160 00:09:44,123 --> 00:09:48,180 things like Bachelor of Medicine, Bachelor of Surgery. 161 00:09:48,180 --> 00:09:52,159 And I just can't imagine putting together all the possible combinations 162 00:09:52,159 --> 00:09:56,422 of double degrees into Wikidata, that would just kill me. 163 00:09:56,422 --> 00:09:58,611 There are also degrees that have more than one 164 00:09:58,611 --> 00:10:00,194 participating university. 165 00:10:00,194 --> 00:10:03,579 We found one that has five participating universities 166 00:10:03,579 --> 00:10:05,997 for the first year and three different ones 167 00:10:05,997 --> 00:10:07,366 for the second year. 168 00:10:07,896 --> 00:10:09,754 And then there's the question of Honors degrees 169 00:10:09,754 --> 00:10:11,969 which is different in all different countries 170 00:10:11,969 --> 00:10:15,211 and so it turns out to have lots of wonderful modeling issues 171 00:10:15,211 --> 00:10:17,964 that I have no idea how we're going to go on with this. 172 00:10:17,964 --> 00:10:19,604 And the next slide. 173 00:10:20,194 --> 00:10:23,120 The last one just to give you an idea, we collect stuff. 174 00:10:23,120 --> 00:10:26,581 So in our Wiki project, we have a table and you're welcome to-- 175 00:10:26,581 --> 00:10:29,913 if you find something weird, to put it in there. 176 00:10:29,913 --> 00:10:33,720 We have all these Bachelors degrees that we found floating around Wikidata, 177 00:10:33,720 --> 00:10:36,314 Masters degrees, there's this wonderful one over here 178 00:10:36,314 --> 00:10:40,962 under Other, a Masters degree in Icelandic Medieval Studies. 179 00:10:42,192 --> 00:10:45,090 I think the five people who've graduated from that 180 00:10:45,090 --> 00:10:47,912 - are probably all on Wikidata, right? - (laughter) 181 00:10:47,912 --> 00:10:52,036 So anyway, my interest is from more of a Computer Science point of view, 182 00:10:52,036 --> 00:10:54,488 what is an ontology, what is classification systems, 183 00:10:54,488 --> 00:10:55,794 how do we go about doing this? 184 00:10:55,794 --> 00:10:58,976 And we thought university degrees would be easy and they're not. 185 00:11:00,206 --> 00:11:01,683 (Shani) Thank you so much, Debora. 186 00:11:01,683 --> 00:11:04,801 And next is Akbar Ali. 187 00:11:05,591 --> 00:11:06,709 (Akbar) Thank you, Shani 188 00:11:06,709 --> 00:11:10,258 My name is Akbar Ali from Dubai, United Arab Emirates. 189 00:11:10,908 --> 00:11:15,523 I'm working as a Social Science teacher in a United Arab Emirates school. 190 00:11:17,153 --> 00:11:22,743 Since 2015, I use Wikidata and try to introduce Wikidata 191 00:11:22,743 --> 00:11:26,217 in the school basic level education, especially in high school standard 192 00:11:26,217 --> 00:11:27,640 as part of that. 193 00:11:28,570 --> 00:11:33,106 Yeah, we introduced Wikidata among these high school students, 194 00:11:33,106 --> 00:11:38,603 especially to collect data at first, especially personal data 195 00:11:38,603 --> 00:11:40,195 of the great personalities. 196 00:11:40,195 --> 00:11:44,091 And we [carry out] assignments to students to collect the data 197 00:11:44,091 --> 00:11:46,777 from the Wikidata, that was the [inaudible] direction part. 198 00:11:47,277 --> 00:11:50,708 And then same [inaudible] we did Wikidata info books. 199 00:11:51,248 --> 00:11:56,071 Students prepare info books by modeling Wikidata 200 00:11:56,071 --> 00:11:58,753 that was developed [inaudible]. 201 00:11:58,753 --> 00:12:01,524 Then the extra activity was we had the students 202 00:12:01,524 --> 00:12:07,586 from different countries like Pakistan, Afghanistan and European countries also. 203 00:12:07,586 --> 00:12:09,882 And a lot of students are from different languages, 204 00:12:09,882 --> 00:12:14,640 so we conducted the translation of labels and the descriptions. 205 00:12:15,710 --> 00:12:19,270 And from the classroom itself we're using the device students edited 206 00:12:19,730 --> 00:12:22,121 some descriptions and labels. 207 00:12:22,121 --> 00:12:27,129 At the same time, we had four classrooms around 28 students 208 00:12:27,129 --> 00:12:31,908 were in each classroom, so totally we had 112 participation 209 00:12:31,908 --> 00:12:33,705 from four classes. 210 00:12:33,705 --> 00:12:37,124 And we also encountered a teacher training program 211 00:12:37,124 --> 00:12:41,090 for teachers who were trying to introduce Wikidata 212 00:12:41,090 --> 00:12:43,523 into their subject. 213 00:12:44,733 --> 00:12:46,524 At the same time, we have some challenges 214 00:12:46,524 --> 00:12:48,536 And many students do not have the devices 215 00:12:48,536 --> 00:12:50,724 that we are going to tackle my next academic year 216 00:12:50,724 --> 00:12:53,575 by using a lot of devices. 217 00:12:53,575 --> 00:12:55,585 And the internet connectivity is another issue, 218 00:12:55,585 --> 00:13:00,526 some of the students or sometimes we feel the lack of internet connectivity, 219 00:13:00,526 --> 00:13:04,630 and that is especially when we try these activities in the [inaudible] 220 00:13:04,630 --> 00:13:06,833 so there's internet connectivity issues [inaudible]. 221 00:13:07,053 --> 00:13:11,444 And actually Wikidata or Wikipedia, it's just not the part of a curriculum 222 00:13:11,444 --> 00:13:14,629 but next academic year we are trying to introduce, 223 00:13:14,629 --> 00:13:18,775 as a curriculum tool, Wikidata. 224 00:13:19,105 --> 00:13:22,872 That is one of the future plans and we also would like to teach 225 00:13:22,872 --> 00:13:27,495 the students some of the basic SPARQL query. 226 00:13:28,315 --> 00:13:32,969 And same [inaudible] we also try to form the Wiki clubs 227 00:13:32,969 --> 00:13:35,122 in schools, that is one of our future plans. 228 00:13:36,052 --> 00:13:37,663 Yeah, that's it. 229 00:13:37,663 --> 00:13:39,552 (Shani) Thank you so much. 230 00:13:39,552 --> 00:13:42,388 And lastly, we also need to meet me, kind of. 231 00:13:42,388 --> 00:13:44,383 So hi, everyone, I'm Shani Evenstein. 232 00:13:44,383 --> 00:13:47,487 I'm from Israel, I work at the Tel Aviv University, 233 00:13:47,487 --> 00:13:52,328 I'm an educator and a researcher, actually my PhD is about Wikidata, 234 00:13:52,328 --> 00:13:55,334 specifically as a learning platform. 235 00:13:55,334 --> 00:13:59,087 I've been an open knowledge advocate for a long time now 236 00:13:59,087 --> 00:14:03,056 and just recently became part of the Board of Trustees. 237 00:14:03,056 --> 00:14:05,068 The only reason I have to mention it 238 00:14:05,068 --> 00:14:08,114 is just to say that everything I say here 239 00:14:08,114 --> 00:14:12,879 is not in my hat as a trustee or a representation of the WMF, 240 00:14:12,879 --> 00:14:18,588 but rather of me as a volunteer and an educator and a researcher. 241 00:14:19,338 --> 00:14:22,261 And I want to tell you a bit about my experience. 242 00:14:22,261 --> 00:14:26,466 So I've been teaching Wikidata, 243 00:14:27,211 --> 00:14:29,306 I would say since-- 244 00:14:30,856 --> 00:14:34,622 2014 would be the first year that I started to introduce it 245 00:14:34,622 --> 00:14:35,937 to my courses. 246 00:14:36,637 --> 00:14:38,740 But I would--before delving into my courses, 247 00:14:38,740 --> 00:14:42,484 I would say that there are two major models 248 00:14:42,484 --> 00:14:45,416 of incorporating Wikidata into the academic curriculum 249 00:14:45,416 --> 00:14:47,850 or the educational curriculum. 250 00:14:47,850 --> 00:14:50,161 One is an alternative assessment. 251 00:14:50,161 --> 00:14:54,369 That is when different lecturers decide 252 00:14:54,369 --> 00:14:57,211 to give their students an assignment 253 00:14:57,211 --> 00:15:01,058 on Wikidata, using Wikidata-- previously it was Wikipedia, right? 254 00:15:01,058 --> 00:15:06,954 Like everything we now experience with Wikidata is like what we had 255 00:15:06,954 --> 00:15:10,182 about ten years ago with Wikipedia. 256 00:15:10,182 --> 00:15:14,053 So we're going through, in a way, the same process now 257 00:15:14,053 --> 00:15:17,614 of introducing Wikidata as a learning platform 258 00:15:17,614 --> 00:15:20,802 to the educational world in a way. 259 00:15:20,802 --> 00:15:23,991 And just like with Wikipedia, there are two models 260 00:15:23,991 --> 00:15:28,006 that are maybe more but two major ones that I could at least recognize 261 00:15:28,006 --> 00:15:29,766 and I work with both. 262 00:15:29,766 --> 00:15:34,592 So the first is instead of the students being tested or writing a paper, 263 00:15:34,592 --> 00:15:37,216 they do something on Wikipedia or Wikidata, 264 00:15:37,216 --> 00:15:38,658 that's the first model. 265 00:15:38,658 --> 00:15:43,979 And in that sense, I've been supporting a variety of lecturers 266 00:15:44,349 --> 00:15:49,209 around Israel in various universities around Israel, 267 00:15:49,209 --> 00:15:50,972 starting in 2017. 268 00:15:50,972 --> 00:15:52,231 So it took some time, right. 269 00:15:52,231 --> 00:15:57,014 It's almost five years since Wikidata was formed for academia 270 00:15:57,014 --> 00:15:59,816 to start actually engaging with it. 271 00:15:59,816 --> 00:16:01,294 In Israel, at least. 272 00:16:01,294 --> 00:16:04,972 In academic courses, as an assignment or as something that we-- 273 00:16:04,972 --> 00:16:07,902 We've actually mentioned it a bit before in courses. 274 00:16:07,902 --> 00:16:12,751 about not really having the students write anything, right. 275 00:16:12,751 --> 00:16:16,554 And the first ones to interact were people from Computer Sciences, 276 00:16:16,554 --> 00:16:20,057 from Digital Humanities, that sort of fields 277 00:16:20,057 --> 00:16:24,639 because it was a natural way of giving the students a project 278 00:16:24,639 --> 00:16:28,377 that they can actually apply that is related to what they study. 279 00:16:29,187 --> 00:16:33,504 This coming semester, I'm going to support two such activities, 280 00:16:33,504 --> 00:16:36,926 one in an international digital culture studies, 281 00:16:37,536 --> 00:16:39,734 in a digital discourse course. 282 00:16:40,224 --> 00:16:43,359 And we're going to have a Wikidata workshop 283 00:16:43,359 --> 00:16:46,754 and that's going to be part of the students' assessment. 284 00:16:46,754 --> 00:16:50,624 And also something that I'm actually very much excited about, 285 00:16:50,624 --> 00:16:53,692 at the Bar Ilan University Computer Science Department 286 00:16:53,692 --> 00:16:55,919 on a course on Semantic Web. 287 00:16:55,919 --> 00:16:58,902 They have--and that is going to be in collaboration 288 00:16:58,902 --> 00:17:01,420 with the Israel Antiquities Authority. 289 00:17:01,420 --> 00:17:05,540 And the thing is, the lecturer that teaches this course 290 00:17:05,540 --> 00:17:08,811 wanted the students to have a project that actually means something. 291 00:17:08,811 --> 00:17:11,959 So she thought Wikidata would be a good option. 292 00:17:11,959 --> 00:17:16,625 So this is what we're-- this is going to be how we start, right. 293 00:17:16,625 --> 00:17:19,624 On the right, these are the cards that we get from 294 00:17:19,624 --> 00:17:22,289 the Israel Antiquities Services. 295 00:17:22,459 --> 00:17:26,693 These are Word files, by the way, Word files, okay. 296 00:17:27,473 --> 00:17:30,244 Nothing is--Word files, I'll say it again. 297 00:17:30,244 --> 00:17:32,451 Nothing is digitized. 298 00:17:32,451 --> 00:17:34,670 And what we want to do is have the students 299 00:17:34,670 --> 00:17:36,634 work on these, model these. 300 00:17:36,634 --> 00:17:39,504 Now because it's a Semantic Web course, 301 00:17:39,504 --> 00:17:42,432 they have been grappling with how to model things 302 00:17:42,432 --> 00:17:45,103 and they've been using what Debora has been doing basically 303 00:17:45,103 --> 00:17:50,211 using Protege and using OWL and using very basic RDF 304 00:17:52,251 --> 00:17:54,093 way of thought in terms of doing it. 305 00:17:54,093 --> 00:17:57,713 And the trick is going to be how we can then take it 306 00:17:57,713 --> 00:18:00,860 and map it into Wikidata which is a real live-- 307 00:18:01,520 --> 00:18:05,297 with a flexible ontology kind of project. 308 00:18:05,297 --> 00:18:08,275 So that's coming up this semester. 309 00:18:08,275 --> 00:18:13,252 And I would say the second model is one where Wikidata assignments 310 00:18:13,252 --> 00:18:14,838 is the main assessment. 311 00:18:14,838 --> 00:18:18,599 That is happening, as far as I know, today only with my courses 312 00:18:18,599 --> 00:18:20,495 at Tel Aviv University. 313 00:18:20,495 --> 00:18:24,267 But as some of you know, I have opened elective courses 314 00:18:24,267 --> 00:18:28,940 at Tel Aviv University where my students basically 315 00:18:28,940 --> 00:18:31,267 contribute to Wikipedia. 316 00:18:31,757 --> 00:18:36,647 The first course was in 2013 and then a second course opened in 2015 317 00:18:36,647 --> 00:18:40,305 for the whole campus, so basically every undergraduate student 318 00:18:40,305 --> 00:18:42,868 at Tel Aviv University can take such a course. 319 00:18:42,868 --> 00:18:46,532 And why I'm mentioning it is because last year 320 00:18:46,972 --> 00:18:50,292 I completely transformed a curriculum of that course 321 00:18:50,292 --> 00:18:53,806 to basically feature Wikidata in an academic course 322 00:18:53,806 --> 00:18:55,191 for the first time. 323 00:18:55,191 --> 00:18:59,707 And this is a course called from Web 2 to Web 3, 324 00:18:59,707 --> 00:19:01,798 from Wikipedia to Wikidata. 325 00:19:01,798 --> 00:19:05,192 And these are my--this is the first class 326 00:19:05,192 --> 00:19:07,547 that graduated from that course. 327 00:19:07,547 --> 00:19:10,963 And in this course, of course Wikidata was--the assignment 328 00:19:10,963 --> 00:19:12,537 was the main thing. 329 00:19:12,537 --> 00:19:14,611 Like using Wikidata and learning about Wikidata 330 00:19:14,611 --> 00:19:16,368 was the main thing of the course. 331 00:19:16,368 --> 00:19:20,299 It's not just an assignment in a course that deals with something else. 332 00:19:20,299 --> 00:19:24,294 So these are the two different models, this is what I've been doing, 333 00:19:24,294 --> 00:19:29,828 and now that you know all of us, I'm hoping that you can see 334 00:19:29,828 --> 00:19:34,799 only from the introduction how, in a way, diverse it is. 335 00:19:34,799 --> 00:19:38,407 How you can do it in very different ways-- 336 00:19:38,407 --> 00:19:43,506 there's just not just one way of doing it or dealing with it. 337 00:19:43,506 --> 00:19:46,864 But there are some things that I think are in common 338 00:19:47,434 --> 00:19:51,757 to all of us and some specific, I would say, challenges 339 00:19:51,757 --> 00:19:53,649 or issues that we all deal with. 340 00:19:53,649 --> 00:19:57,237 So I thought it would be interesting to have a discussion 341 00:19:57,237 --> 00:20:02,159 with the panelists now and see how they have come to be 342 00:20:02,159 --> 00:20:05,603 in a place where they even incorporate Wikidata into the curriculum 343 00:20:05,603 --> 00:20:09,579 because that's not happening out of the blue, right. 344 00:20:09,579 --> 00:20:12,210 We have to actually work for it to happen. 345 00:20:12,210 --> 00:20:15,798 And there has been work being done for years and years, 346 00:20:15,798 --> 00:20:17,930 for me to open that course, for instance. 347 00:20:17,930 --> 00:20:21,021 I had to--it started with one session in a course 348 00:20:21,021 --> 00:20:23,444 and then a year later, two sessions and three sessions, 349 00:20:23,444 --> 00:20:26,379 and I wasn't satisfied and I wanted more and more and more 350 00:20:26,379 --> 00:20:29,604 until I was able to convince the university to actually do it. 351 00:20:29,604 --> 00:20:32,864 But I'm quite sure that all of these panelists 352 00:20:32,864 --> 00:20:37,403 have their own challenges in terms of persuading 353 00:20:37,403 --> 00:20:42,476 the academic institutions where they're at to actually even go for it. 354 00:20:42,476 --> 00:20:45,691 So I would be very happy to start the discussion 355 00:20:45,691 --> 00:20:49,939 by asking you what did you have to do 356 00:20:49,939 --> 00:20:53,533 to persuade your institutions to even do it? 357 00:20:57,703 --> 00:20:58,958 Let's see. 358 00:20:58,958 --> 00:21:04,918 Yeah, so, I mean our institution was hosting me to work 359 00:21:04,918 --> 00:21:07,923 with course leaders and they were very much... 360 00:21:09,713 --> 00:21:12,904 mindful that the bread and butter of what I was doing should really be 361 00:21:12,904 --> 00:21:14,986 within curriculum work. 362 00:21:14,986 --> 00:21:20,479 And we had a course that was Data Science for Design, 363 00:21:20,479 --> 00:21:22,891 and I just happened to be running a workshop 364 00:21:22,891 --> 00:21:25,738 where one of the course leaders was attending. 365 00:21:26,256 --> 00:21:30,677 And it percolated, struck, and he was looking for people 366 00:21:30,677 --> 00:21:35,751 to pitch data sets, and Wikidata was an interesting data set 367 00:21:35,751 --> 00:21:36,857 for him to model. 368 00:21:36,857 --> 00:21:38,397 He was actually interested 369 00:21:38,397 --> 00:21:44,576 in me pitching the idea of Wikimedia's data on harassment 370 00:21:45,655 --> 00:21:49,873 to the students--he was looking-- but I looked into that a bit 371 00:21:49,873 --> 00:21:54,527 and we thought maybe we could do something with 372 00:21:54,527 --> 00:21:58,009 The Survey of Scottish Witchcraft data and we approached the court, 373 00:21:58,009 --> 00:22:02,362 the people behind that database and said could we release this 374 00:22:02,362 --> 00:22:04,764 as open linked open data and see what the students 375 00:22:04,764 --> 00:22:06,138 could do with it. 376 00:22:06,138 --> 00:22:11,872 Because they were trying to let the websites survive 377 00:22:11,872 --> 00:22:16,024 and the data survive because it's not really been used since 2003. 378 00:22:16,024 --> 00:22:17,072 They were quite interested 379 00:22:17,072 --> 00:22:20,073 - (Shani) Could be done. - in what new insights could be done. 380 00:22:20,403 --> 00:22:24,273 So it was pushing against an open door, really 381 00:22:24,273 --> 00:22:26,911 in that particular way but there was a lot of work 382 00:22:26,911 --> 00:22:28,567 that went behind that, 383 00:22:28,567 --> 00:22:32,963 - the years to persuade, I would say. - (Shani) Yeah. 384 00:22:32,963 --> 00:22:36,776 (Shani) But in any case, it sounds like you're one of the lucky ones, right. 385 00:22:36,776 --> 00:22:41,651 You're a Wikimedian in Residence at a university--woohoo! 386 00:22:41,651 --> 00:22:44,082 We have to say something about that in itself 387 00:22:44,082 --> 00:22:46,948 because I think the fact that academic institutions 388 00:22:46,948 --> 00:22:50,412 are now starting to realize that they even need this position, 389 00:22:50,412 --> 00:22:52,798 - is something kind of new and you're-- - Yeah. 390 00:22:52,798 --> 00:22:56,064 (Shani) You're a pioneer in that sense and we have a bunch of others 391 00:22:56,064 --> 00:22:57,989 now joining you around the world. 392 00:22:57,989 --> 00:23:00,045 But it's quite amazing. 393 00:23:00,045 --> 00:23:02,420 Yes, Andy's in the audience as well. 394 00:23:02,420 --> 00:23:06,994 So I hope he's feeling better actually, but yeah, he's at Coventry University 395 00:23:06,994 --> 00:23:09,181 and a Wikimedian in Residence there. 396 00:23:09,181 --> 00:23:11,451 - So we'd like more. - (Shani) Yes. 397 00:23:11,451 --> 00:23:17,131 Martin Poulter at Oxford University was kind of the inspiration 398 00:23:17,131 --> 00:23:21,202 for my own residency because he was doing editathons 399 00:23:21,202 --> 00:23:24,457 at the Bodleian Library on the Great War 400 00:23:24,457 --> 00:23:26,827 and Ada Lovelace Day 401 00:23:26,827 --> 00:23:31,936 and our director of IT, Melissa Highton was looking at what the work 402 00:23:31,936 --> 00:23:35,289 - he was doing at Oxford and thinking-- - (Shani) She was inspired. 403 00:23:35,289 --> 00:23:37,710 Could it be applied in teaching and learning? 404 00:23:37,710 --> 00:23:40,097 Did it have to be libraries only? 405 00:23:40,097 --> 00:23:44,335 Or did information literacy, digital skills, 406 00:23:44,815 --> 00:23:48,492 how under representations of knowledge, did that have applications 407 00:23:48,492 --> 00:23:51,447 in teaching and learning and that's kind of-- 408 00:23:51,447 --> 00:23:55,089 So she ran an editathon in Edinburgh on the Edinburgh Seven, 409 00:23:55,089 --> 00:24:00,172 the first female undergraduates in Britain who didn't have Wikipedia pages 410 00:24:00,172 --> 00:24:01,211 at the time. 411 00:24:01,211 --> 00:24:04,069 And she invited Professor Allison Littlejohn, 412 00:24:04,069 --> 00:24:07,256 who's now Dean of Teaching and Learning at University of Glasgow 413 00:24:07,256 --> 00:24:11,057 to come and do some research to make sure it wasn't just a gimmick, 414 00:24:11,057 --> 00:24:14,080 that it was actual genuine teaching and learning going on 415 00:24:14,080 --> 00:24:15,507 in these editing environments. 416 00:24:15,507 --> 00:24:19,613 And she's produced about five or six research papers that says 417 00:24:19,613 --> 00:24:23,652 there is an actual point to doing this in education. 418 00:24:23,652 --> 00:24:27,308 (Shani) Yeah and I think you're making an important point 419 00:24:27,308 --> 00:24:30,957 about how we also need academic research, 420 00:24:30,957 --> 00:24:33,122 showing that this is valuable, right. 421 00:24:33,122 --> 00:24:35,784 And currently, we have zero. 422 00:24:36,214 --> 00:24:40,075 I mean besides my research that I'm working on now 423 00:24:40,075 --> 00:24:44,164 and will take some time to publish, there is zero, 424 00:24:44,624 --> 00:24:47,054 zero research about education and Wikidata. 425 00:24:47,054 --> 00:24:49,693 We have tons of research about Wikidata 426 00:24:49,693 --> 00:24:52,815 but not about how it could be used as an educational platform 427 00:24:52,815 --> 00:24:53,848 in that sense. 428 00:24:53,848 --> 00:24:57,360 You've mentioned literacies and we actually have a bunch of-- 429 00:24:57,650 --> 00:25:01,265 quite a lot of academic research about how to utilize Wikipedia, 430 00:25:01,265 --> 00:25:07,521 in that sense and how it helps to enhance all sorts of literacies, right, 431 00:25:07,521 --> 00:25:12,166 digital skills, academic skills, critical thinking, collaborative work, 432 00:25:12,166 --> 00:25:13,355 all of that. 433 00:25:13,355 --> 00:25:16,774 And I think Wikidata is taking it one step further 434 00:25:16,774 --> 00:25:19,690 and we can use it to teach people data literacy. 435 00:25:19,690 --> 00:25:23,830 But we have zero research to support that and therefore it's-- 436 00:25:24,980 --> 00:25:28,757 we are just at a beginning stage in that sense. 437 00:25:28,757 --> 00:25:29,974 - Yeah. - (Shani) And so, yeah, 438 00:25:29,974 --> 00:25:32,267 (Shani) And so what you're saying just supports that. 439 00:25:32,267 --> 00:25:36,983 Yeah, we're a research-based institution so we have to set an evidence 440 00:25:36,983 --> 00:25:41,708 what we're doing and there is worthwhile academic purpose. 441 00:25:41,708 --> 00:25:46,522 So yeah, we've got these research papers on Wikipedia editing. 442 00:25:46,522 --> 00:25:49,054 But yeah, more on WIkidata would definitely help 443 00:25:49,054 --> 00:25:50,951 - make the case further. - (Shani) Yeah. 444 00:25:50,951 --> 00:25:52,329 (Shani) Debora, what about you? 445 00:25:52,329 --> 00:25:54,684 - (Debora) Well, I'm lucky too - (Shani) Yes, yes, you are. 446 00:25:54,684 --> 00:25:58,494 because I'm a German professor and that means all I have is a heading. 447 00:25:58,494 --> 00:26:01,660 - (Shani) You can do whatever you want. - And I can choose what I want to teach. 448 00:26:01,660 --> 00:26:03,481 And I put the heading in the curriculum anyway 449 00:26:03,481 --> 00:26:06,506 because I designed the curriculum so that makes it a lot easier. 450 00:26:06,506 --> 00:26:09,957 I was very lucky that I had two really great students 451 00:26:09,957 --> 00:26:13,524 who had been working here at the Wikimedia Foundation, 452 00:26:13,524 --> 00:26:17,596 the German Wikimedia Foundation as student programmers, 453 00:26:17,596 --> 00:26:19,120 Lucy and Charlie. 454 00:26:19,120 --> 00:26:23,850 And they both did their Bachelors thesis on Wikidata. 455 00:26:23,850 --> 00:26:27,405 And I mean you may have heard of Lucy's-- that's the article placeholder. 456 00:26:27,405 --> 00:26:29,361 That was her Bachelors thesis. 457 00:26:29,361 --> 00:26:30,720 And so it was clear that 458 00:26:30,720 --> 00:26:33,450 if it's easy enough for some brilliant Bachelors to do, 459 00:26:33,450 --> 00:26:36,216 my Masters had better be able to do it as well. 460 00:26:36,216 --> 00:26:40,641 And so that's when I started working our way into that. 461 00:26:40,641 --> 00:26:44,986 And the students really enjoyed doing something real. 462 00:26:45,246 --> 00:26:49,747 And not just something that's get a grade and then it's gone. 463 00:26:49,747 --> 00:26:52,428 They found this was it, it's scary too. 464 00:26:52,428 --> 00:26:54,874 Because you make a change and then some editor comes along 465 00:26:54,874 --> 00:26:58,199 and screams at you because you made a stupid mistake. 466 00:26:58,199 --> 00:26:59,462 But it's okay. 467 00:26:59,462 --> 00:27:02,902 It's a Wiki, we can turn it back and start over again. 468 00:27:02,902 --> 00:27:05,652 (Shani) Yeah, João, what about you? 469 00:27:09,172 --> 00:27:15,057 Okay, so I guess my use of Wikidata is dependent on my use of Wikipedia 470 00:27:15,057 --> 00:27:17,111 as an educator. 471 00:27:17,111 --> 00:27:23,162 So I started doing Wiki assignments in 2014 when I was just hired 472 00:27:23,562 --> 00:27:26,864 as a university professor and that was challenging 473 00:27:26,864 --> 00:27:31,366 because my school didn't really understand, 474 00:27:31,366 --> 00:27:32,912 had never done it. 475 00:27:32,912 --> 00:27:37,442 So I didn't really know what to expect, if it was going to work out. 476 00:27:37,442 --> 00:27:40,424 I actually was not a Wikimedian at the time. 477 00:27:40,424 --> 00:27:44,199 I just read a book--I had a grad student 478 00:27:44,199 --> 00:27:45,899 and then I said okay, that might be cool. 479 00:27:45,899 --> 00:27:48,114 It was my time so I work. 480 00:27:49,814 --> 00:27:53,906 The university where I work, they required that I did 481 00:27:53,906 --> 00:27:55,671 the Wikipedia assignment 482 00:27:56,021 --> 00:28:00,563 as well as the expected evaluation 483 00:28:00,563 --> 00:28:02,601 of my seminar. 484 00:28:02,601 --> 00:28:05,415 So it was basically double grading. 485 00:28:06,475 --> 00:28:10,846 And I had at the time 175 students. 486 00:28:10,846 --> 00:28:16,962 It was really hard but then to some extent they've seen they couldn't change me 487 00:28:16,962 --> 00:28:19,681 so they had to adapt. 488 00:28:19,681 --> 00:28:23,731 And now I transition to Wikidata, it was easier, I guess. 489 00:28:23,731 --> 00:28:27,737 Because now I'm a little bit more senior and they let me do whatever I want 490 00:28:27,737 --> 00:28:31,108 just like what you were saying and just okay, they don't even ask anymore 491 00:28:31,108 --> 00:28:32,191 what I'm doing. 492 00:28:32,821 --> 00:28:36,551 And I think the whole use 493 00:28:36,551 --> 00:28:39,029 of Wikipedia and Wikidata now for me 494 00:28:39,029 --> 00:28:45,219 is just-- there are problems that need to be solved 495 00:28:45,569 --> 00:28:47,601 in knowledge building. 496 00:28:47,601 --> 00:28:50,811 Sometimes you need Wikipedia, sometimes you need Wikidata, 497 00:28:50,811 --> 00:28:53,388 sometimes you need Wikivoyage, Wikimedia Commons. 498 00:28:53,388 --> 00:28:55,398 So we just started our project, for instance, 499 00:28:55,398 --> 00:28:58,221 on structured data on Commons. 500 00:28:58,221 --> 00:29:03,357 We've uploaded from a GLAM project a thousand files coming from 501 00:29:03,357 --> 00:29:06,800 the military dictatorship, no one knows anything about them. 502 00:29:07,578 --> 00:29:13,403 And we are working with my students to identify, to depict anything we can 503 00:29:13,403 --> 00:29:19,441 on the pictures with the expectation that if we identify there are 17 stairs 504 00:29:19,711 --> 00:29:23,099 on the building which the students were protesting the government, 505 00:29:23,099 --> 00:29:24,976 we can identify the building. 506 00:29:25,816 --> 00:29:28,476 So I think you go with a purpose. 507 00:29:28,476 --> 00:29:33,081 That's the whole thing of what we are doing in general. 508 00:29:33,081 --> 00:29:36,130 It has value, it's meaningful. 509 00:29:36,130 --> 00:29:38,593 And if you're able to convey that to the students 510 00:29:38,593 --> 00:29:43,531 and then broaden and deepen the experience of meaningfulness 511 00:29:43,531 --> 00:29:49,623 that they can acquire from data literacy or media training, 512 00:29:49,993 --> 00:29:54,507 or I don't know, history understanding political values, democracy, 513 00:29:54,507 --> 00:29:59,217 whatever you're working on as a professor, 514 00:29:59,217 --> 00:30:01,123 then you've reached the purpose. 515 00:30:01,123 --> 00:30:06,007 I think it's just for me it's a resource, and it's a marvelous resource, 516 00:30:06,007 --> 00:30:11,701 and I'm glad I'm part of this community because it helps building this resource. 517 00:30:12,251 --> 00:30:15,658 (Shani) So basically you either have to become a Wikimedian in Residence 518 00:30:15,658 --> 00:30:20,099 or become a university professor to be able to do whatever you want. 519 00:30:20,099 --> 00:30:24,366 But not everyone is in that position and I think Akbar Ali 520 00:30:24,366 --> 00:30:28,294 is representing another view of that which is also important 521 00:30:28,294 --> 00:30:30,439 and in a way, me as well. 522 00:30:30,439 --> 00:30:36,402 I mean having one step at the door is making it easier to implement changes 523 00:30:36,402 --> 00:30:37,800 once you're already in. 524 00:30:37,800 --> 00:30:42,015 But making that first step to convince the institution 525 00:30:42,015 --> 00:30:45,109 that it's even worthwhile is very difficult. 526 00:30:45,109 --> 00:30:46,792 It's very challenging. 527 00:30:46,792 --> 00:30:51,803 And so I want to kind of move between this question and the next one 528 00:30:51,803 --> 00:30:54,362 and start talking about some of the challenges 529 00:30:54,362 --> 00:30:57,150 that we're all facing doing this work. 530 00:30:57,150 --> 00:31:00,674 So I think you're the perfect person to start with that 531 00:31:00,674 --> 00:31:03,450 because you've already mentioned a bit of the challenges 532 00:31:03,450 --> 00:31:05,891 but maybe you can explain some more. 533 00:31:06,841 --> 00:31:07,857 Okay. 534 00:31:07,857 --> 00:31:09,371 Actually there was always a question 535 00:31:09,371 --> 00:31:11,840 what would be the new innovative teaching method. 536 00:31:11,840 --> 00:31:15,364 That was the question realized in the teachers' community in the UAE. 537 00:31:15,364 --> 00:31:17,657 So I thought to share about the Wikidata at first, 538 00:31:17,657 --> 00:31:19,375 that will be new for them. 539 00:31:19,375 --> 00:31:24,469 So I was part of the collection-- as part of the doing assignment 540 00:31:24,469 --> 00:31:26,843 [inaudible] usually the students use 541 00:31:26,843 --> 00:31:28,982 Google or something, other websites like Wikipedia. 542 00:31:28,982 --> 00:31:32,118 But Wikidata was a new thing for them. 543 00:31:32,118 --> 00:31:36,455 So first of all, we started by collecting the information from Wikidata. 544 00:31:36,455 --> 00:31:42,344 We framed the template in the paper, [inaudible] Wikidata template. 545 00:31:42,344 --> 00:31:47,467 So it was a good thing for understanding the structure of Wikidata for students. 546 00:31:47,937 --> 00:31:50,651 And we started to collect information. 547 00:31:50,651 --> 00:31:55,452 But there was one problem that when we do the content-wise, 548 00:31:55,452 --> 00:31:58,272 like when we add a content into Wikidata, 549 00:31:58,272 --> 00:32:01,104 students did not create a user [inaudible] 550 00:32:01,104 --> 00:32:02,921 especially they need email ID. 551 00:32:02,921 --> 00:32:05,426 So actually they are high school students 552 00:32:05,426 --> 00:32:09,493 so most of them had no email ID, so what we have them then 553 00:32:09,493 --> 00:32:14,145 by using Google Spreadsheet the data which we created 554 00:32:14,145 --> 00:32:18,811 that we move to Google Spreadsheet, then myself, I was adding 555 00:32:18,811 --> 00:32:22,450 all this data into Wikidata by using quick statements. 556 00:32:22,450 --> 00:32:27,157 Actually that is one of the challenge we need to give a chance for students 557 00:32:27,157 --> 00:32:32,734 to create their own ID especially if they are high school level students, 558 00:32:32,734 --> 00:32:38,771 so they need email procedures that is also still challenges there. 559 00:32:39,101 --> 00:32:43,161 If we are overcome, if the parents are permitting that, 560 00:32:43,161 --> 00:32:48,889 we can create hundreds of students a user ID and their contribution 561 00:32:48,889 --> 00:32:49,889 will be there. 562 00:32:49,889 --> 00:32:51,364 That is one of the challenges. 563 00:32:51,364 --> 00:32:55,376 The second thing, I was the head of the Department of Social Science 564 00:32:55,376 --> 00:33:00,904 so I could integrate Wikidata as part of our curriculum adaptation plan. 565 00:33:01,283 --> 00:33:07,266 But at the same time, how to run these Wikidata projects 566 00:33:07,266 --> 00:33:09,951 and all other subjects, we need to get the support 567 00:33:09,951 --> 00:33:13,577 of especially the school full team. 568 00:33:13,577 --> 00:33:17,607 So I think we need to give much training and awareness 569 00:33:17,607 --> 00:33:22,210 to the teachers, one of the uses of Wikidata, how can we integrate Wikidata 570 00:33:22,210 --> 00:33:24,901 as an educational tool in the curriculum. 571 00:33:24,901 --> 00:33:28,264 Surely, if the teachers are convinced and if they agree to that, 572 00:33:28,264 --> 00:33:31,627 I think we can solve those problems too. 573 00:33:31,627 --> 00:33:33,709 You said there are two problems, from teacher's side 574 00:33:33,709 --> 00:33:34,804 or from student's side. 575 00:33:34,804 --> 00:33:37,622 (Shani) Yeah, I think you're making a really important point 576 00:33:37,622 --> 00:33:39,934 about creating awareness, right. 577 00:33:39,934 --> 00:33:42,238 - Yes. - (Shani) And I think Ewan also talked 578 00:33:42,238 --> 00:33:43,480 about that. 579 00:33:43,480 --> 00:33:47,111 Sometimes it's as simple as someone sitting at the right place 580 00:33:47,111 --> 00:33:50,819 at the right time at a lecture that you're giving someplace, 581 00:33:50,819 --> 00:33:54,910 and it sparks something in their mind and they kind of get it. 582 00:33:54,910 --> 00:33:58,091 And then you can expand from there. 583 00:33:58,091 --> 00:34:02,461 But without that legwork the grassroots work 584 00:34:03,001 --> 00:34:05,915 that we've all been doing, it would be impossible 585 00:34:05,915 --> 00:34:10,906 to get to a residency position or to have university professors 586 00:34:10,906 --> 00:34:13,340 decide to incorporate it into their curriculum 587 00:34:13,340 --> 00:34:14,753 because it's a lot of work. 588 00:34:14,753 --> 00:34:15,853 It takes work. 589 00:34:15,853 --> 00:34:19,869 Even doing it just with Wikipedia takes work as we all know. 590 00:34:19,869 --> 00:34:23,186 And so yeah, that's an important step, 591 00:34:23,186 --> 00:34:26,369 in a way, in creating this atmosphere 592 00:34:26,369 --> 00:34:31,959 or this eco-system where this is a thing that we do in higher education. 593 00:34:31,959 --> 00:34:37,044 And we're basically, as we said, at the very beginning stages 594 00:34:37,044 --> 00:34:41,580 of disseminating the idea even that this is possible, 595 00:34:41,580 --> 00:34:44,419 that this needs to happen, that this has to happen 596 00:34:44,419 --> 00:34:48,843 because that's the only good tool that we have today 597 00:34:48,843 --> 00:34:52,286 to basically teach the students data literacy. 598 00:34:52,286 --> 00:34:58,098 So I want to hear, Debora, a bit more about your challenges 599 00:34:58,098 --> 00:35:01,999 in your courses because, obviously, starting is not the issue here 600 00:35:01,999 --> 00:35:04,085 but you have some other challenges. 601 00:35:04,085 --> 00:35:07,337 Right, we have other challenges in the sense that we're interacting 602 00:35:07,337 --> 00:35:11,294 with the Wikidata community in a weird time fashion. 603 00:35:11,294 --> 00:35:16,540 It's all compressed into this semester, and it's the second half of the semester. 604 00:35:16,540 --> 00:35:20,603 So when we want things changed, we want them changed fast. 605 00:35:20,803 --> 00:35:23,771 Getting the property of grants put through took-- 606 00:35:23,771 --> 00:35:25,813 it didn't come through until like a week 607 00:35:25,813 --> 00:35:27,600 before the semester was over. 608 00:35:27,600 --> 00:35:31,524 Luckily, everybody had their quick statement sheets all ready to go. 609 00:35:31,524 --> 00:35:33,644 We just put the number in, pushed a button 610 00:35:33,644 --> 00:35:35,508 and did a lot of edits. 611 00:35:35,798 --> 00:35:39,567 And then we were dead for half a year because I only teach this class 612 00:35:39,567 --> 00:35:40,768 in the summer. 613 00:35:40,768 --> 00:35:45,869 So we have another one that we had proposed this summer, 614 00:35:45,869 --> 00:35:48,554 the double degree one because there are so many 615 00:35:49,734 --> 00:35:52,793 people who have double degrees and we weren't sure 616 00:35:52,793 --> 00:35:57,687 how to model it anyway but we proposed this property 617 00:35:57,987 --> 00:36:00,570 and now it's marked as, "This seems to be dead 618 00:36:00,570 --> 00:36:02,873 because nobody's interested in it anymore." 619 00:36:02,873 --> 00:36:05,406 Well, we're interested but we're not interested 620 00:36:05,406 --> 00:36:06,945 until next summer again. 621 00:36:06,945 --> 00:36:11,144 So we don't have this continuous interaction with the community. 622 00:36:11,144 --> 00:36:13,556 - But it comes in fits and starts. - (Shani) Yeah. 623 00:36:13,556 --> 00:36:15,881 (Shani) So in a way, what you're saying is 624 00:36:16,751 --> 00:36:20,744 just stressing the importance of being in close relationship 625 00:36:20,744 --> 00:36:23,778 with the Wikidata community and that is true, I would say, 626 00:36:23,778 --> 00:36:27,617 to incorporating any Wiki project into the curriculum. 627 00:36:27,617 --> 00:36:30,302 You have to have the support of the community. 628 00:36:30,302 --> 00:36:34,180 If the community is not behind you, in a way, it could become messy. 629 00:36:34,180 --> 00:36:37,651 So that's a good takeaway, I would say in general. 630 00:36:37,651 --> 00:36:40,261 João, what about some of your challenges? 631 00:36:41,691 --> 00:36:46,816 Okay, so with Wikidata particularly, 632 00:36:46,816 --> 00:36:48,466 I think one challenge that relates 633 00:36:48,466 --> 00:36:52,629 what you're saying about the lack of academic research, 634 00:36:52,629 --> 00:36:58,571 it's also the lack of resources that we can use for students. 635 00:36:59,281 --> 00:37:03,135 So I think we've created for one of the projects 636 00:37:03,135 --> 00:37:06,140 that I was just shown, you have to have [Giovanna] 637 00:37:06,140 --> 00:37:11,211 [inaudible] are here at the conference as well--Giovanna's here... 638 00:37:11,211 --> 00:37:13,511 So she was my student, so-- 639 00:37:14,061 --> 00:37:15,683 they were all my students. 640 00:37:15,683 --> 00:37:18,748 There is a process of multiplication to some extent with 641 00:37:18,748 --> 00:37:20,151 what we are doing. 642 00:37:20,151 --> 00:37:23,131 But we needed resources. 643 00:37:23,131 --> 00:37:29,654 And so students could actually rely on to edit Wikidata and understand 644 00:37:29,654 --> 00:37:32,919 what they need to do and to work on structured data on Commons. 645 00:37:32,919 --> 00:37:34,537 This was a challenge. 646 00:37:34,537 --> 00:37:37,516 So we had to put time on that. 647 00:37:38,856 --> 00:37:44,658 I think that was a major challenge and another challenge that I see 648 00:37:44,658 --> 00:37:50,200 which is again, always worrisome is that my students 649 00:37:50,200 --> 00:37:54,058 assess Wikidata assignments as boring, 650 00:37:54,058 --> 00:37:57,782 which for me is really tough to digest. 651 00:37:57,782 --> 00:38:01,083 They love doing Wikipedia now. 652 00:38:01,083 --> 00:38:05,152 But Wikidata is just filling out a form for them. 653 00:38:05,862 --> 00:38:08,490 And I think that something that we need to improve 654 00:38:08,490 --> 00:38:12,231 if we want to use it as an educational resource 655 00:38:12,231 --> 00:38:14,992 because they are willing to do it, they see the purpose, 656 00:38:14,992 --> 00:38:18,062 it's just the actual operation is boring. 657 00:38:18,062 --> 00:38:21,602 And I think that's something that we need to improve design 658 00:38:21,602 --> 00:38:25,056 for education as an open education resource. 659 00:38:25,056 --> 00:38:27,085 (Shani) Yeah, I'm going to use what you're saying-- 660 00:38:27,085 --> 00:38:29,924 (audience 2) You need to see the magic. 661 00:38:29,924 --> 00:38:32,815 You need to introduce the magic of SPARQL queries 662 00:38:32,815 --> 00:38:36,256 and all those kind of models into your students. 663 00:38:36,256 --> 00:38:39,696 That's why I have a feeling that 664 00:38:42,726 --> 00:38:47,082 because in Kerala last year we tried conducting 665 00:38:47,082 --> 00:38:51,357 a series of workshops for engineering college students 666 00:38:51,777 --> 00:38:54,949 as a part of my user group activity. 667 00:38:55,359 --> 00:38:59,189 Nearly 12 engineering colleges, we've gone to all the colleges 668 00:38:59,189 --> 00:39:03,686 and done Wikidata workshops with hands-on editing. 669 00:39:03,686 --> 00:39:06,698 And yeah, it's boring, initially it's boring, 670 00:39:06,698 --> 00:39:10,113 it's filling up a form for students. 671 00:39:10,113 --> 00:39:14,455 But we switch to SPARQL queries and we are showing 672 00:39:14,455 --> 00:39:20,252 this kind of linked data models and all the maps and all those stuffs, 673 00:39:20,252 --> 00:39:24,201 yeah, then the scenario changes, it's super interesting. 674 00:39:24,201 --> 00:39:30,458 It suddenly becomes a big thing for the Computer Science students. 675 00:39:30,888 --> 00:39:34,941 And also yeah, we had some partnership 676 00:39:34,941 --> 00:39:37,811 with the language departments 677 00:39:37,811 --> 00:39:39,678 in some universities. 678 00:39:41,058 --> 00:39:44,952 This year, I am going to talk about Lexemes, Lexeme projects, 679 00:39:44,952 --> 00:39:48,841 so that language departments 680 00:39:48,841 --> 00:39:52,213 can model that language 681 00:39:52,213 --> 00:39:54,507 and add a lot of data so-- 682 00:39:54,507 --> 00:39:56,868 Yeah, that's it, you can make it interesting. 683 00:39:56,868 --> 00:39:59,516 There's a lot of ways out there in Wikidata, I think. 684 00:39:59,516 --> 00:40:03,648 (Shani) Yeah, thank you for adding from your experience. 685 00:40:03,648 --> 00:40:07,404 I want to go back to what João was saying. 686 00:40:07,404 --> 00:40:09,746 João was making two important points, I think. 687 00:40:09,746 --> 00:40:12,918 One is about awareness that we're still lacking 688 00:40:12,918 --> 00:40:17,319 and the fact that we don't have enough resources yet 689 00:40:17,319 --> 00:40:22,362 to use it well in an educational setting and since we're-- 690 00:40:22,928 --> 00:40:26,521 Maybe it's a good time to open a parenthesis and say, 691 00:40:26,521 --> 00:40:30,263 "We are just five examples from around the world." 692 00:40:30,263 --> 00:40:33,789 Obviously there are a lot of other people doing amazing work 693 00:40:33,789 --> 00:40:38,118 in other places in the world in other academic institutions 694 00:40:38,118 --> 00:40:41,488 or educational settings and we've already acknowledged 695 00:40:41,488 --> 00:40:42,542 some of them. 696 00:40:42,542 --> 00:40:46,337 I encourage you to also speak to Matthew, 697 00:40:46,337 --> 00:40:50,850 to Jason Evans, who's here. 698 00:40:51,540 --> 00:40:54,431 To Will Kent, can you say hi. 699 00:40:54,431 --> 00:40:58,539 And I specifically want to acknowledge Will, who's here 700 00:40:58,539 --> 00:41:01,889 because Will is part of Wiki Ed Foundation. 701 00:41:01,889 --> 00:41:05,931 They are the education program for the U.S. and Canada 702 00:41:05,931 --> 00:41:08,792 and what they've done, they've waited for some time 703 00:41:08,792 --> 00:41:11,800 but when they do things, they do it right. 704 00:41:11,800 --> 00:41:14,944 And they created an online training for Wikidata 705 00:41:14,944 --> 00:41:19,039 which is now an online module that all of us can use. 706 00:41:19,039 --> 00:41:23,793 So they're helping to create resources in that sense 707 00:41:23,793 --> 00:41:26,005 that other people can use, I also want to acknowledge 708 00:41:26,005 --> 00:41:30,248 [inaudible] who's sitting here, who has been a guest lecturer 709 00:41:30,248 --> 00:41:33,683 at a variety of institutions around the world, 710 00:41:33,683 --> 00:41:39,737 helping to eventualize, in a sense, for Wikidata and without resources 711 00:41:39,737 --> 00:41:43,803 such as his introduction to Wikidata, it would have been more difficult 712 00:41:43,803 --> 00:41:45,071 to disseminate. 713 00:41:45,071 --> 00:41:48,718 So this is just to stress that we as a community 714 00:41:48,718 --> 00:41:52,354 are at the very beginning stages of creating actual resources 715 00:41:52,354 --> 00:41:56,305 that will help other educators do this kind of work. 716 00:41:56,305 --> 00:41:58,797 That's one challenge, resources, 717 00:41:58,797 --> 00:42:01,178 and I want to go back to assignments also. 718 00:42:01,868 --> 00:42:05,586 João mentioned that for him creating the right assignment 719 00:42:05,586 --> 00:42:06,748 is a challenge. 720 00:42:06,748 --> 00:42:08,910 And I would concur. 721 00:42:08,910 --> 00:42:11,210 I agreed completely. 722 00:42:11,210 --> 00:42:15,787 It has been my challenge as well, both as an alternative assessment 723 00:42:15,787 --> 00:42:19,404 and both in the model of the whole university course 724 00:42:19,404 --> 00:42:24,194 to make sure that I have assignments that are the right size, 725 00:42:24,194 --> 00:42:25,621 the right scope 726 00:42:26,251 --> 00:42:30,783 and are understandable to the students and also interesting enough 727 00:42:30,783 --> 00:42:33,197 for them to actually want to engage. 728 00:42:33,727 --> 00:42:36,771 And also that it's clear how I assess their progress. 729 00:42:37,041 --> 00:42:43,154 So in a way, a bit of what happened to me using Wikipedia in the classroom 730 00:42:43,154 --> 00:42:45,077 is now happening with Wikidata. 731 00:42:45,077 --> 00:42:46,990 I was very ambitious at the beginning. 732 00:42:46,990 --> 00:42:51,100 Even when I was coming to support someone else's course 733 00:42:51,100 --> 00:42:53,247 and I would do two sessions, 734 00:42:53,247 --> 00:42:58,276 let's say, of an an intro and then a workshop about Wikipedia. 735 00:42:58,276 --> 00:43:01,702 And I would strive for the students to write full articles 736 00:43:01,702 --> 00:43:04,401 or to expand or do something really meaningful. 737 00:43:04,401 --> 00:43:07,187 As I did it more and more throughout the years, 738 00:43:07,187 --> 00:43:10,999 I found myself shrinking the size of the assignments 739 00:43:10,999 --> 00:43:13,449 and creating like mini assignments or-- 740 00:43:14,217 --> 00:43:17,085 Today we'd like to talk about mini contributions, right, 741 00:43:17,085 --> 00:43:22,139 so finding cool and interesting ways for the students to contribute something 742 00:43:22,139 --> 00:43:25,830 but that it's not too much is important. 743 00:43:25,830 --> 00:43:28,938 And just the way I went and shrunk 744 00:43:28,938 --> 00:43:33,329 over the years the Wikipedia assignments, I find that it's really important 745 00:43:33,329 --> 00:43:35,148 to do the same with Wikidata. 746 00:43:35,148 --> 00:43:39,424 So giving the students something on the one hand meaningful, 747 00:43:39,424 --> 00:43:43,777 and on the other hand with clear boundaries 748 00:43:43,777 --> 00:43:47,764 that I could--like very clear steps of what they need to do, 749 00:43:48,004 --> 00:43:51,647 how they can engage but still making it interesting enough 750 00:43:51,647 --> 00:43:56,020 has been a challenge in my courses and it's still a work in progress. 751 00:43:56,020 --> 00:43:57,817 I keep experimenting. 752 00:43:57,817 --> 00:43:59,771 And I think that's the most important thing 753 00:43:59,771 --> 00:44:02,875 that we're all experimenting with this platform 754 00:44:02,875 --> 00:44:06,855 and trying to look for new ways to incorporate it 755 00:44:07,905 --> 00:44:11,434 into the academic curriculum because we understand it's important. 756 00:44:12,124 --> 00:44:15,194 But I would totally agree that it's like you said, 757 00:44:15,194 --> 00:44:18,967 you need to create that awareness, and in that sense, 758 00:44:19,407 --> 00:44:22,615 I want to ask the panelists what have worked for you? 759 00:44:22,615 --> 00:44:25,534 Like what helped you do the work that you do? 760 00:44:25,534 --> 00:44:27,137 So Debora, you first. 761 00:44:29,218 --> 00:44:32,674 One of the important things that I find that helped me do the work 762 00:44:32,674 --> 00:44:35,376 is making sure that we document everything on Wiki. 763 00:44:35,906 --> 00:44:38,973 That we don't have thousands of little documents flying 764 00:44:38,973 --> 00:44:40,387 all over the place. 765 00:44:40,387 --> 00:44:43,019 But that we have our discussions on Wiki. 766 00:44:43,019 --> 00:44:45,269 That we have our project page on Wiki. 767 00:44:45,269 --> 00:44:48,093 That the students hand in their reports on Wiki 768 00:44:48,093 --> 00:44:52,058 so that the next group can look back and see what the others did, 769 00:44:52,058 --> 00:44:55,065 what helped them, what didn't help them and that helps the next group 770 00:44:55,065 --> 00:44:58,212 start at a higher level than the group before. 771 00:44:58,782 --> 00:45:02,745 (Shani) That is certainly one approach to keep everything in one place. 772 00:45:02,745 --> 00:45:06,439 I would just suggest from my experience in knowing the work that 773 00:45:06,439 --> 00:45:09,701 others are doing that some educators choose 774 00:45:09,701 --> 00:45:11,695 - to use social media - No. 775 00:45:11,695 --> 00:45:13,473 (Shani) as another means. (chuckles) 776 00:45:13,473 --> 00:45:15,778 No, stay on Wiki. 777 00:45:16,278 --> 00:45:18,696 I'm actually forbidden from using Facebook 778 00:45:18,696 --> 00:45:20,912 in instruction at my university. 779 00:45:20,912 --> 00:45:23,114 So I would not be able to use it. 780 00:45:23,114 --> 00:45:27,256 I heard there must be some Facebook group or something, that's no go. 781 00:45:27,256 --> 00:45:32,295 It has to be on Wiki so that's why I would plead for everyone else 782 00:45:32,295 --> 00:45:35,208 to be keeping their work open and on Wiki. 783 00:45:35,208 --> 00:45:37,608 (Shani) Yeah and that's the beauty of the Wikimedia movement, 784 00:45:37,608 --> 00:45:41,865 there's always diversity and once you hear someone arguing 785 00:45:41,865 --> 00:45:46,594 so passionately about no use of-- only Wiki, you will find 786 00:45:46,594 --> 00:45:51,250 other people as passionate, saying that the use of social media 787 00:45:51,250 --> 00:45:54,097 is the best thing that could have happened because it's helping them 788 00:45:54,097 --> 00:45:57,091 engage with students in their own platforms 789 00:45:57,091 --> 00:45:58,813 in the way that is easy for them. 790 00:45:58,813 --> 00:46:06,260 Wiki is notoriously known to not being as friendly or the user interface 791 00:46:06,260 --> 00:46:08,209 is somewhat lacking. 792 00:46:08,209 --> 00:46:12,041 Yeah, but in Germany, Facebook is only used by old people. 793 00:46:12,841 --> 00:46:16,098 The students are on Instagram. 794 00:46:16,098 --> 00:46:18,803 (Shani) It doesn't have to be Facebook but you get the idea. 795 00:46:18,803 --> 00:46:21,484 Ewan, what about you, what has worked for you? 796 00:46:21,904 --> 00:46:26,358 Well, the sort of nature of the challenge has changed each year. 797 00:46:26,358 --> 00:46:32,116 So initially, it was about how could we get the good information 798 00:46:32,116 --> 00:46:38,166 of access database and then model it on Wikidata. 799 00:46:38,166 --> 00:46:42,472 So it was all about that initial exchange in the first year 800 00:46:42,472 --> 00:46:46,764 so there was no sort of PDF handouts available to do that. 801 00:46:46,764 --> 00:46:50,174 And then the next year it was about how can we then enrich the data, 802 00:46:50,174 --> 00:46:53,647 working with Google Spreadsheets and the Wikidata plug-in 803 00:46:53,647 --> 00:46:55,510 and things like that. 804 00:46:55,510 --> 00:47:00,714 But and then the final year was working with open refine 805 00:47:00,714 --> 00:47:02,921 and so like trying to get our heads around that 806 00:47:02,921 --> 00:47:06,160 about linking their data, adding geographical data, 807 00:47:06,160 --> 00:47:07,982 then putting it on a website. 808 00:47:07,982 --> 00:47:10,382 So again, it was like each year it was different. 809 00:47:10,382 --> 00:47:14,248 So it was all--always it was getting 810 00:47:14,248 --> 00:47:17,988 what stories and engaging tales 811 00:47:17,988 --> 00:47:22,747 could be told once we had all that data in and we had the visualizations. 812 00:47:22,747 --> 00:47:26,156 So the students were always motivated when they had that carrot. 813 00:47:27,236 --> 00:47:33,729 They weren't always really happy with the manual labour aspect 814 00:47:33,729 --> 00:47:37,968 to do this, especially when you have to get 50 edits on Wikidata 815 00:47:37,968 --> 00:47:41,819 to be able to do bulk uploading in the first place. 816 00:47:41,819 --> 00:47:42,830 That was a challenge. 817 00:47:42,830 --> 00:47:48,898 But the main thing that helped was having the Wikidata community primed 818 00:47:48,898 --> 00:47:50,819 that we were going to do this. 819 00:47:51,119 --> 00:47:55,471 And the fact that I had knowledgeable people around me 820 00:47:55,471 --> 00:48:00,626 that I said, "Could you be available so that if we ever have questions--" 821 00:48:00,626 --> 00:48:04,247 like Navina Evans and Martin Poulter 822 00:48:04,247 --> 00:48:06,828 and Jason Evans as well, 823 00:48:07,238 --> 00:48:11,228 and Simon Cobb, we just made sure that we had good people around us 824 00:48:11,618 --> 00:48:14,385 who knew the things that we needed to know 825 00:48:14,385 --> 00:48:16,225 when we needed to know them. 826 00:48:16,225 --> 00:48:19,174 But I agree, documentation is super important, 827 00:48:19,174 --> 00:48:23,899 but there's a number of learning hurdles that we were trying to come up against 828 00:48:23,899 --> 00:48:26,997 - in a very tight window. - (Shani) Yeah. 829 00:48:26,997 --> 00:48:29,581 (Shani) Yeah and the fact that the tools continue to grow 830 00:48:29,581 --> 00:48:31,949 and you have to know everything and you have to-- 831 00:48:31,949 --> 00:48:34,398 like there is so much to learn all the time. 832 00:48:34,398 --> 00:48:37,192 You have to really keep yourself 833 00:48:38,692 --> 00:48:42,851 focused on that, otherwise, you'd be doing maybe manual work 834 00:48:42,851 --> 00:48:44,810 that there is now a tool that you don't know about 835 00:48:44,810 --> 00:48:47,259 that is doing it in a much easier way. 836 00:48:47,259 --> 00:48:49,988 So connecting, again, to the community is important. 837 00:48:49,988 --> 00:48:51,898 Do you have final words on what worked for you 838 00:48:51,898 --> 00:48:55,784 because we have to wrap up very soon. 839 00:48:57,714 --> 00:49:02,933 (João) Okay, I guess an important aspect of the way I've also worked 840 00:49:02,933 --> 00:49:07,163 on the education program is to connect it to a larger ecology 841 00:49:07,673 --> 00:49:12,894 within the community, within the tech development aspect 842 00:49:12,894 --> 00:49:16,285 of our community trainings through Wikidata labs, 843 00:49:16,285 --> 00:49:18,630 it's part of something. 844 00:49:18,630 --> 00:49:24,521 So we have Wikimedians in Residence, we have the actual community engaging, 845 00:49:24,521 --> 00:49:29,729 coming for workshops, we set up an agenda for Wikidata live 846 00:49:29,729 --> 00:49:32,654 that can actually contribute to developing the progress 847 00:49:32,654 --> 00:49:35,576 that we want to reach, we developed tools, 848 00:49:35,576 --> 00:49:36,779 we do research. 849 00:49:36,779 --> 00:49:40,882 So it's enriching to some extent 850 00:49:40,882 --> 00:49:43,502 or it's providing a dense experience 851 00:49:43,502 --> 00:49:46,232 for the growth of the community. 852 00:49:46,232 --> 00:49:48,358 It's a slow process. 853 00:49:48,358 --> 00:49:53,536 It's something that needs to be engaged, rethink, rethought, 854 00:49:53,536 --> 00:49:58,453 that's why this kind of conference is so important. 855 00:49:58,453 --> 00:49:59,901 We need to be in touch. 856 00:49:59,901 --> 00:50:04,281 There is no right way to basic experimenting. 857 00:50:04,281 --> 00:50:09,573 No one really knows the best way how it should be done 858 00:50:09,573 --> 00:50:12,732 because no one has actually done it before. 859 00:50:12,732 --> 00:50:17,241 So we are all experimenting and I was--just a something 860 00:50:17,241 --> 00:50:22,489 since I have the mic now-- I was thinking about what Akbar Ali said. 861 00:50:23,189 --> 00:50:26,794 The first time that I used Wikipedia with high school students, 862 00:50:26,794 --> 00:50:28,838 it was a complete failure. 863 00:50:28,838 --> 00:50:31,554 I had been very successful with Wikipedia assignments 864 00:50:31,554 --> 00:50:33,427 with university students. 865 00:50:33,427 --> 00:50:36,518 It's just with high school, they just didn't get it 866 00:50:36,518 --> 00:50:40,248 at the level that we all thought we should lead 867 00:50:40,248 --> 00:50:44,655 because it was just too hard in the process of the critical process. 868 00:50:45,365 --> 00:50:47,835 But then I think Wikidata is actually a good resource 869 00:50:47,835 --> 00:50:49,783 for high school students. 870 00:50:49,783 --> 00:50:54,551 So I think that opened-- an eye-opening, in your presentation, I think 871 00:50:54,551 --> 00:50:57,980 I should go back to this experience. 872 00:50:58,540 --> 00:51:03,260 (Shani) So I want to conclude the panel by saying first of all, 873 00:51:03,260 --> 00:51:06,712 thank you so much to all the panelists and not only to them 874 00:51:06,712 --> 00:51:10,583 but also to the greater, the bigger community 875 00:51:10,583 --> 00:51:14,058 of Wikimedians working in education 876 00:51:14,058 --> 00:51:17,218 to help evangelize and do this work. 877 00:51:17,218 --> 00:51:22,569 And I want to conclude saying or reminding rather to us, 878 00:51:22,569 --> 00:51:27,711 to our community that this is the second Wikidata conference. 879 00:51:28,511 --> 00:51:31,959 In the first Wikidata conference, we also had an education panel. 880 00:51:32,469 --> 00:51:35,752 It was the only education session in the conference. 881 00:51:35,752 --> 00:51:39,453 And two years have passed, so much have been done, 882 00:51:40,343 --> 00:51:45,551 so many cool experimenting but we still have only one panel 883 00:51:45,551 --> 00:51:48,023 in this conference for education. 884 00:51:48,023 --> 00:51:52,279 This is not a criticism but rather for me an eye-opening moment 885 00:51:52,279 --> 00:51:56,211 to realize that we are still at the very beginning stages 886 00:51:56,211 --> 00:51:59,866 of showing our impact and why this is important 887 00:51:59,866 --> 00:52:04,195 to the bigger Wikimedia community and I look at every-- 888 00:52:04,195 --> 00:52:07,702 each and every one of you sitting here and listening at home 889 00:52:07,702 --> 00:52:11,823 as people who can now go and do it yourselves 890 00:52:12,223 --> 00:52:15,902 and experimenting and connecting with the community, 891 00:52:15,902 --> 00:52:19,041 talking about the challenges sharing best practices, 892 00:52:19,041 --> 00:52:22,793 sharing resources is basically the way to go 893 00:52:22,793 --> 00:52:24,662 so go experiment. 894 00:52:25,002 --> 00:52:26,880 Wikidata is amazing. 895 00:52:26,880 --> 00:52:31,736 It's such a unique tool to teach all sorts of things, right 896 00:52:31,736 --> 00:52:36,829 from data completion to showing, to being able to show 897 00:52:36,829 --> 00:52:39,724 the gender gap and knowledge gaps in general 898 00:52:39,724 --> 00:52:41,953 in a visualized and cool way. 899 00:52:41,953 --> 00:52:45,206 It is an educational tool. 900 00:52:45,206 --> 00:52:49,160 So use it and hopefully by the next Wiki Data Con, 901 00:52:49,160 --> 00:52:52,366 we're going to see a bunch of other sessions 902 00:52:52,366 --> 00:52:56,619 and I would-- just to say one more thing and I know João has to run 903 00:52:56,619 --> 00:52:59,751 to the next session--about GLAM. 904 00:52:59,751 --> 00:53:03,789 Use GLAM, use libraries, work with the low-hanging fruit 905 00:53:03,789 --> 00:53:06,806 which is the lecturers who are already teaching Semantic Web 906 00:53:06,806 --> 00:53:10,912 and you can use this in a way that makes sense. 907 00:53:11,352 --> 00:53:15,365 They're your best friends-- libraries, especially, will help you. 908 00:53:16,745 --> 00:53:18,199 Hey. (chuckles) 909 00:53:18,199 --> 00:53:21,962 Hello--Libraries will definitely help you in academic institutions, 910 00:53:21,962 --> 00:53:24,791 usually there are libraries, work with the libraries to help 911 00:53:24,791 --> 00:53:28,297 disseminate an idea to the faculty, to the students. 912 00:53:28,297 --> 00:53:31,626 This will probably be the things that will spark the idea 913 00:53:31,626 --> 00:53:33,373 for some lecturer to try it 914 00:53:33,373 --> 00:53:36,459 and we will then conquer the world together. 915 00:53:36,459 --> 00:53:40,637 - (audience 3) [inaudible] - (Shani) Yes. 916 00:53:40,637 --> 00:53:45,077 [inaudible] 917 00:53:45,077 --> 00:53:47,079 but so I'm a librarian and I wanted to know. 918 00:53:47,079 --> 00:53:52,923 But one idea is for one-off lessons instead of like semester-long 919 00:53:52,923 --> 00:53:56,524 or a quarter-long because I tend to-- I try to do more data literacy 920 00:53:56,524 --> 00:53:58,059 with students. 921 00:53:58,059 --> 00:54:03,580 And also how to get into faculties or your colleagues' brains 922 00:54:03,580 --> 00:54:04,952 that this is great? 923 00:54:04,952 --> 00:54:07,619 (Shani) João, can you give the mic to Ewan. 924 00:54:08,749 --> 00:54:13,097 We will release João who has to run but we will take more, 925 00:54:13,097 --> 00:54:14,599 five more minutes of questions. 926 00:54:14,599 --> 00:54:15,876 Just really quick then. 927 00:54:15,876 --> 00:54:19,923 So yeah, so it's like Martin Poulter 928 00:54:19,923 --> 00:54:23,343 is running how to make a SPARQL query workshop fun 929 00:54:23,343 --> 00:54:24,510 later this afternoon. 930 00:54:24,510 --> 00:54:27,162 - And I would start with that. - (audience 3) Yeah. 931 00:54:27,162 --> 00:54:30,707 Because it's like you were saying, it's about understanding 932 00:54:30,707 --> 00:54:36,548 this sort of like how they can visualize the data story there intially 933 00:54:36,548 --> 00:54:40,961 and work with simple SPARQL queries build them up and do much more. 934 00:54:40,961 --> 00:54:42,897 That could be done quite simply in one workshop. 935 00:54:42,897 --> 00:54:44,860 (audience 3) Yeah, that's how I do my workshops. 936 00:54:44,860 --> 00:54:46,847 I do them like, okay, somebody has a question. 937 00:54:46,847 --> 00:54:50,192 I'm like, okay, what are the-- all of the people who won this award 938 00:54:50,192 --> 00:54:52,499 and then we do that query and then we see all the gaps. 939 00:54:52,499 --> 00:54:54,884 And so then let's fill in all these gaps. 940 00:54:54,884 --> 00:54:57,072 And that's how I tend to do these workshops, 941 00:54:57,072 --> 00:55:00,219 but it's completely over their head. (chuckles) 942 00:55:00,219 --> 00:55:02,150 (Shani) Just continue, you know. 943 00:55:02,150 --> 00:55:06,116 Be vigilant and continue to doing it, continue doing the workshops 944 00:55:06,116 --> 00:55:10,512 and at one point, someone will see the light. 945 00:55:10,512 --> 00:55:15,804 And visualization is probably the best way to show impact, right. 946 00:55:15,804 --> 00:55:18,507 So you're on the right direction it sounds. 947 00:55:18,507 --> 00:55:19,764 Just go for it. 948 00:55:20,434 --> 00:55:24,691 (audience 4) [inaudible] I didn't really know Wikipedia Adventure 949 00:55:24,691 --> 00:55:28,332 then if you can make a Wikidata Adventure then 950 00:55:28,332 --> 00:55:32,464 - that would be super cool to introduce. - (Shani) Well, we have Wikidata games. 951 00:55:32,464 --> 00:55:34,715 - (Shani) So we can use those. - (audience 4) Yeah, yeah. 952 00:55:34,715 --> 00:55:38,528 - (Shani) But we have to conclude. - (Debora) We're making Wikidata games. 953 00:55:38,528 --> 00:55:40,502 (Shani) You're all welcome to talk to us. 954 00:55:41,542 --> 00:55:43,265 Later on, thank you. 955 00:55:43,265 --> 00:55:45,412 (applause)