This is a list of all the questions and their associated study carrel identifiers. One can learn a lot of the "aboutness" of a text simply by reading the questions.
| identifier | question |
|---|---|
| 00-johnson-preface | 2See? iiTb, ff/ QBXQ`;fRyXdkd9f`y@jkyx@FM83. |
| 00-johnson-preface | ? iiTb, ffH �#bXHQ+X;Qpfbi � iB+fH �#b frQ`Ff`2TQ`ibf*Q`/2HH@GP*@JG@`2TQ`iXT/7. |
| 00-johnson-preface | ? iiTb, ffrrrXQ+H+XQ`;f`2b2 �`+?fTm# HB+ � iBQMbfkyRNfQ+H+`2b2 �`+? |
| 00-johnson-preface | ? iiTb, ffrrrXQ+H+XQ`;f`2b2 �`+?fTm# HB+ � iBQMbfkyRNfQ+H+`2b2 �`+? |
| 01-hintze-artificial | Are these quantitative methods sneaking into the hu- manities disguised by anthropomorphic terms like a wolf shrouded in a sheep ’s fleece? |
| 01-hintze-artificial | Are they capable of developing their own perspective, and can they aid in qualitative research? |
| 01-hintze-artificial | But are these technolo- gies imbued with intuition or understanding, and do they learn like humans? |
| 01-hintze-artificial | Chapter 1 Artificial Intelligence in the Humanities: Wolf in Disguise, or Digital Revolution? |
| 01-hintze-artificial | Did you read a manual before you used your smartphone, or did you like everyone else just “ figure it out ”? |
| 01-hintze-artificial | Do we speak for everyone? |
| 01-hintze-artificial | How do we understand what is essential? |
| 01-hintze-artificial | Is it an intelligent machine, or a human trapped in a machine? |
| 01-hintze-artificial | Is sunshine better than rain? |
| 01-hintze-artificial | Now that we know the facts, how should we choose? |
| 01-hintze-artificial | So, if these important sections in our imaginary machine learning book do not discuss the mechanisms of learning, then what are they discussing? |
| 01-hintze-artificial | Trained Machines: Tool or Provocation? |
| 01-hintze-artificial | What are our values? |
| 01-hintze-artificial | “ What Is Memory? |
| 04-janco-machine | 3Teachable Machine,? iiTb, ffi2 �+? �#H2K �+?BM2XrBi? |
| 04-janco-machine | 3Teachable Machine,? iiTb, ffi2 �+? �#H2K �+?BM2XrBi? |
| 04-janco-machine | ; QQ;H2X+QKf; Google AutoML,? iiTb, ff+HQm/X;QQ;H2X+QKf � miQKHf; RunwayML,? iiTb, ff`mMr � vKHX+QKf. |
| 04-janco-machine | ; QQ;H2X+QKf; Google AutoML,? iiTb, ff+HQm/X;QQ;H2X+QKf � miQKHf; RunwayML,? iiTb, ff`mMr � vKHX+QKf. |
| 04-janco-machine | ? iiT, ff+`2 � iBM;/ � i � Xmbf/ � i � b2ibf? � i?B@72 � im`2bf. |
| 04-janco-machine | ? iiT, ffrrrXT2QTH2XpB`;BMB � X2/ mf � DKmkKfEBM;bX8@yyfT`BK BiBp2bX?iKH. |
| 04-janco-machine | ? iiTb, ff/ QBXQ`;fRyXkkR93fReXyk8. |
| 04-janco-machine | ? iiTb, ff/?H �#X v � H2X2/ mfT`QD2+ibfTBtTHQif. |
| 04-janco-machine | If Stalin was an atheist who worked at all times of Janco 45 the day and night, why would n’t he schedule meetings on Sundays? |
| 04-janco-machine | Is it possible to make such connections deliberately and identify how machine learning methods can benefit a scholar ’s research? |
| 04-janco-machine | Is there a similar pattern in other periods of Stalin ’s life? |
| 04-janco-machine | It poses a question: What are the most basic elements of scholarly research and analysis? |
| 04-janco-machine | Perhaps it was a legacy from Stalin ’s youth spent in seminary? |
| 04-janco-machine | See? iiTb, ff+HQm/ X;QQ;H2X+QKfi2`Kbf. |
| 04-janco-machine | Where is the mention of “ October ” a journal name and not a month, a factory name, or the revolu- tion? |
| 08-altman-building | Can you find examples of success( or failure) from people using similar datasets with the same algorithm? |
| 08-altman-building | Can you prepare your data for the algorithm with a reasonable amount of pre- processing? |
| 08-altman-building | Equally important, what would you expect to see if the model did n’t learn anything at all? |
| 08-altman-building | Is it important that your algorithm be easy to explain? |
| 08-altman-building | Start by asking: What would you expect to see if the model learned perfectly? |
| 08-altman-building | • Are you concerned about speed and scale? |
| 08-altman-building | • Arethetoolsstable, well- documented, andwell- supported? |
| 08-altman-building | • Canyouexplainhowthisalgorithmworkstoalaypersonandwhyit’sbeneficialtotheproject? |
| 08-altman-building | • How do the tools align with the skill sets and comfort levels of your team? |
| 08-altman-building | • How well do tools interoperate with one another, or with other parts of your existing systems? |
| 08-altman-building | • What do the inputs and outputs of the algorithm mean? |
| 08-altman-building | • What effect do different hyperparameters have on the algorithm? |
| 08-altman-building | • What sorts of features and interfaces do they offer? |
| 06-jiang-cross | ? iiT, ff+2m`@rbXQ`;foQH@k99ef. |
| 06-jiang-cross | ? iiT, ffrrrXDKH`XQ`;fT � T2`bfpRkfT2/`2; Qb � RR � X?iKH. |
| 06-jiang-cross | ? iiTb, ff/ QBXQ`; fRyXRk8dfD2TXjRXkX3d. |
| 06-jiang-cross | ? iiTb, ff/ QBXQ`;fRyXR3e8jfpRf.RN@8jRd. |
| 06-jiang-cross | ? iiTb, ff/ QBXQ`;fRyXRRRRfDXR9d8@e3RRXkyyNXyRkjR Xt. |
| 06-jiang-cross | ? iiTb, ff/ QBXQ`;fRyXRReRfbi`QF2 �? � XRRdXyk y9jd. |
| 06-jiang-cross | ? iiTb, ff/ QBXQ`;fRyXRReRfbi`QF2 �? � XRRdXyk y9jd. |
| 06-jiang-cross | ? iiTb, ff/ QBXQ`;fRyXRRyNfh � AXRNN9Xj9e9Rk. |
| 06-jiang-cross | ? iiTb, ff/ QBXQ`;fRyXRjyyfCyykp9RMyRny3. |
| 06-jiang-cross | ? iiTb, ff/ QBXQ`;fRyXRjyyfCyykp9RMyRnyR. |
| 06-jiang-cross | ? iiTb, ff/ QBXQ`;fRyXRy3yfyk eNRdkydyRd9e89y. |
| 06-jiang-cross | ? iiTb, ff/ QBXQ`;fRyXRyRefDXb?Tb+XkyR8XRyXyyj. |
| 06-jiang-cross | ? iiTb, ff/ QBXQ`;fRyXRykjf �,RyyNd99ejykk9. |
| 06-jiang-cross | ? iiTb, ff/ QBXQ`;fRyXjd9df+QXkyXR9 3d. |
| 06-jiang-cross | ? iiTb, ff/ QBXQ`;fRyXkjydf839NRN. |
| 06-jiang-cross | ? iiTb, ffrrrX �+`r 2#bBi2XQ`;fpQHmK2bf39yyfpQHmK2bfpkdf. |
| 06-jiang-cross | ? iiTb, ffrrrXT`2T �`2@2M`B+?X+QKfT2nK � BMnbBi2n+QM i2MifT/7f`2b2 �`+?fM � iBQM � Hnbm`p2vXT/7. |
| 06-jiang-cross | So how can we start and manage successful cross- disciplinary research? |
| 06-jiang-cross | What can we do to facilitate collaborative behaviors? |
| 03-plumb-humanities | ) 3 They raise three critical issues to this essay: How do word embeddings reflect the contexts of words in order to capture their relative meanings? |
| 03-plumb-humanities | ? iiT, ffT`Q+22/ BM;bXKH`XT`2bbfpNdf � HH2MRN � X?iKH. |
| 03-plumb-humanities | ? iiT, ffrrrX/ B;Bi � H?mK � MBiB2 bXQ`;f/?[fpQHfdfkfyyyRejfyyyRejX?iKH. |
| 03-plumb-humanities | ? iiT, ffrrrX/B;Bi � H?mK � MBiB2bXQ`;f/?[fpQHfjfkfyyyy9Rfyyyy9RX?iKH. |
| 03-plumb-humanities | ? iiTb, ff �`tBpXQ`;f �#bfRNyjXyj3ek. |
| 03-plumb-humanities | ? iiTb, ff+`BiBM[XrQ`/T`2bbX+QKfkyRNfy9fyRf+QKTmi � iBQM � H@HBi2` �`v@ bim/ B2b@T �`iB+BT � Mi@7Q`mK@`2bTQMb2bf. |
| 03-plumb-humanities | ? iiTb, ff+`BiBM[XrQ`/T`2bbX+QKfkyRNfy9fyRf+QKTmi � iBQM � H@HBi2` �`v@bim/ B2b@T �`iB+BT � Mi@7Q`mK@`2bTQMb2b@8f. |
| 03-plumb-humanities | ? iiTb, ff+`BiBM[XrQ`/T`2bbX+QKfkyRNfyjf jRf+QKTmi � iBQM � H@HBi2` �`v@bim/ B2b@ �@+`BiB+ � H@BM[mB`v@QMHBM2@7Q`m Kf. |
| 03-plumb-humanities | ? iiTb, ff/ B;Bi � H? |
| 03-plumb-humanities | ? iiTb, ff/ B;Bi � H? |
| 03-plumb-humanities | ? iiTb, ff/ QBX Q`;fRyXRyjdfyyjj@kN8sX39X9Xjkd. |
| 03-plumb-humanities | ? iiTb, ff/ QBXQ`;fRy XR3e8jfpRfSR3@RRRj. |
| 03-plumb-humanities | ? iiTb, ff/ QBXQ`;fRyXR3e8jfpRfqRe@ykyj. |
| 03-plumb-humanities | ? iiTb, ff/ QBXQ`;fRyXRRddfyy9NRk9R RddkNdyjX Noble, Safiya Umoja. |
| 03-plumb-humanities | ? iiTb, ff/ QBXQ`;fRyXRRddfyyyjRkk9RN3ddRj8. |
| 03-plumb-humanities | ? iiTb, ff/ QBXQ`;fRyXRRyNfhE.1XkyRNX kN9eRek. |
| 03-plumb-humanities | ? iiTb, ff/ QBXQ`;fRyXReRjfD � B`XRXRRk8N. |
| 03-plumb-humanities | ? iiTb, ff/ QBXQ`;fRyXRj8jfH � MXkyRNXyyRN. |
| 03-plumb-humanities | ? iiTb, ff/ QBXQ`;fRyXRkR8fyykedNkN@dNjjRyk. |
| 03-plumb-humanities | ? iiTb, ff/ QBXQ`;fRyXRy3efdyk8N9. |
| 03-plumb-humanities | ? iiTb, ffKQ/2`MBbKKQ/2`MBivXQ`;f7Q`mKbfTQbibfb2 �`+?@ � M/@`2TH �+2. |
| 03-plumb-humanities | ? iiTb, ffKmb2XD?mX2/ mf �`iB+H2fddRRjk. |
| 03-plumb-humanities | ? iiTb, ffiQr �`/b/ � i � b+B2M+2X+QKfM2m` � H@M2irQ`F@2K#2//BM;b@2tTH � BM2/@9/ yk32e7y8ke. |
| 03-plumb-humanities | ? iiTb, ffrrrX �+Hr2#XQ`;f � Mi?QHQ;vf*R3@RRRd. |
| 03-plumb-humanities | ? iiTb, ffrrrX+b22XmK#+X2/ mf �?BHHQHfL:.Jydf �#bi` �+ibfi � HFbfJEB`b+? |
| 03-plumb-humanities | ? iiTb, ffrrrX+b22XmK#+X2/ mf �?BHHQHfL:.Jydf �#bi` �+ibfi � HFbfJEB`b+? |
| 03-plumb-humanities | ? iiTb, ffrrrXB/2 � HbXBHHBMQBbX2/ mf#Bibi`2 � Kf? � M/ H2fkR9 kfReNdf.m#BMd93de9XT/7?b2[m2M+24k. |
| 03-plumb-humanities | Does this require a corpus of male authors and one of female authors? |
| 03-plumb-humanities | How can literary history and cultural studies inform how scholars use them? |
| 03-plumb-humanities | If word embeddings approximate word meanings, do they also reflect culture? |
| 03-plumb-humanities | In what ways can research and scholarship on lit- erature become a more meaningful part of the future development of computer systems? |
| 03-plumb-humanities | Or would this be better accom- plished with an outside lexical source that has already associated word senses with genders? |
| 03-plumb-humanities | “ Now Is the Future Now? |
| 09-lesk-fragility | ? iiT, ffM � miBHXmbfBbbm2f9yfH2 �`MBM;fBb@ �`iB7B+B � H@BMi2HHB;2M+2@T2` K � M2MiHv@BMb+`mi �#H2. |
| 09-lesk-fragility | ? iiT, ffrrrX � b b2K#H22@M � iBQM � H2X7`fR8f+`BfkyRd@kyR3fkyR3yRjdX � bT. |
| 09-lesk-fragility | ? iiTb, ff/ QBXQ`;fRyXRR98fkd3jk83Xkd33eRj. |
| 09-lesk-fragility | ? iiTb, ff/ QBXQ`;fRyXRjdRfDQm` M � HXTQM2XyR9Rj8d. |
| 09-lesk-fragility | ? iiTb, ff/2p# HQ;bXMpB/ B � X+QKf2tTH � BMBM;@/22T@H2 �`MBM;@b2H7@/`BpBM;@+ �`f. |
| 09-lesk-fragility | ? iiTb, ff7mim`2Q7HB72XQ`;f � B@T`BM+BTH2bf. |
| 09-lesk-fragility | ? iiTb, ffK �+?BM2H2 �`MBM;K � bi2`vX+QKfi?2@K Q/2H@T2`7Q`K � M+2@KBbK � i+?@T`Q#H2Kf. |
| 09-lesk-fragility | ? iiTb, ffK2/BmKX+QKfbvM+2/`2pB2rfkyR3@BM@`2pB2r@Ry@ � B@7 � BHm`2b@+R37 � �/78N3j. |
| 09-lesk-fragility | ? iiTb, ffrr rX##+X+QKfM2rbfi2+?MQHQ;v@9R3983d3. |
| 09-lesk-fragility | ? iiTb, ffrrrX##+X+QKfM2rbf?2 � Hi?@8y38dd8N. |
| 09-lesk-fragility | ? iiTb, ffrrrX7Q`#2bX+QKfbBi2bfiQKi � mHHBfkyRNfy3fy9f#B � b@i?2@bBH2 M i@FBHH2`@Q7@ � B@ �`iB7B+B � H@BMi2HHB;2M+2fOR++e7j8/ d/3d. |
| 09-lesk-fragility | ? iiTb, ffrrrXM+#BXMHKXMB?X;QpfTK+f �`iB+H2bfSJ*jjRdj kN. |
| 09-lesk-fragility | ? iiTb, ffrrrXb+B2M+2/ B`2+iX+Q Kfb+B2M+2f �`iB+H2fTBBfak83Nd8yyRNjyRkjk. |
| 09-lesk-fragility | ? iiTb, ffrrrXr27Q`mKXQ`;fr?Bi2T � T2`bf?Qr@iQ@T`2p2Mi@/Bb+`BKBM � iQ`v@Qmi+ QK2b@BM@K �+?BM2@H2 �`MBM;. |
| 09-lesk-fragility | ? iiTb, ffrrrXrB`2/ X+QKfkyRefydf �`iB7B+B � H@BMi 2HHB;2M+2@b2iiBM;@BMi2`M2i@?m;2@+H � b?@2m`QT2f. |
| 09-lesk-fragility | But, what if I leave off the final period when I enter it in Google Translate? |
| 09-lesk-fragility | Recognition of problems Can we tell when something is wrong? |
| 09-lesk-fragility | Somebody who knew statistics perked up and said “ it ’s a 50% chance of recognizing the animal? |
| 09-lesk-fragility | Sometimes you have to use categorical variables( what county do you live in?) |
| 09-lesk-fragility | What did we do before we had supercomputers? |
| 09-lesk-fragility | What should we do? |
| 09-lesk-fragility | What would I suggest? |
| 09-lesk-fragility | Why not extrapolate? |
| 09-lesk-fragility | “ Is Artificial Intelligence Permanently Inscrutable? ” Nautilus 40( 1). |
| 02-harper-generative | ? iiTb, ff �`tBpXQ`;f �#bf R3ydXyj9yR. |
| 02-harper-generative | ? iiTb, ff �`tBpXQ`;f �#bf RNyeXyR8kN. |
| 02-harper-generative | ? iiTb, ff �`tBpXQ`;f �#bfR3yNXyR9Ry. |
| 02-harper-generative | ? iiTb, ff �`tBpXQ`;f �#bfR3yeXy3j Rd. |
| 02-harper-generative | ? iiTb, ff �`tBpXQ`;f �#bfkyyRXyyRdN. |
| 02-harper-generative | ? iiTb, ff �`tBpXQ`;f �#bfkyyRXyyydRpR. |
| 02-harper-generative | ? iiTb, ff/ Q BXQ`;fRyXRRyNfA111*PL699ee9XkyRNXNy9Nyy8. |
| 02-harper-generative | ? iiTb, ff/ QBX Q`;fRyXRRyNfH;`bXkyR3Xk3Ny9Rj. |
| 02-harper-generative | ? iiTb, ff/ QBXQ`; fRyXRRyNf � oaaXkyRdX3yd38kR. |
| 02-harper-generative | ? iiTb, ff/ QBXQ`;f RyXRRyNf*oS_XkyRNXyyk99. |
| 02-harper-generative | ? iiTb, ff/ QBXQ`;fRy XRRyNfA**oXkyRdXk99. |
| 02-harper-generative | ? iiTb, ff/ QBXQ`;fRy XRyRefDXK2/ B � XkyRNXRyR88k. |
| 02-harper-generative | ? iiTb, ff/ QBXQ`;fRyXR yRefDXBbT`bDT`bXkyRNXy9XyR8. |
| 02-harper-generative | ? iiTb, ff/ QBXQ`;fRyXRR98fjk9y 8y3Xjk9ye9R. |
| 02-harper-generative | ? iiTb, ff/ QBXQ`;fRyXRRkefb+B2M+2X � � ikeej. |
| 02-harper-generative | ? iiTb, ff/ QBXQ`;fRyXRRy NfAoaXkyRNX33Rj333. |
| 02-harper-generative | ? iiTb, ff/ QBXQ`;fRyXRRyNf h*aohXkyR3Xk3edNj9. |
| 02-harper-generative | ? iiTb, ff/ QBXQ`;fRyXRRyNf* oS_XkyRNXyy98j. |
| 02-harper-generative | ? iiTb, ff/ QBXQ`;fRyXRRyNf*oS_XkyRdXjRN. |
| 02-harper-generative | ? iiTb, ff/ QBXQ`;fRyXRRyNfip+;XkyR3Xk3 e98yy. |
| 02-harper-generative | ? iiTb, ff/ QBXQ`;fRyXRykRf �+b+2Mib+BXd#yy8dk. |
| 02-harper-generative | ? iiTb, ff/ QBXQ`;fRyXRykRf �+bXKQHT? �`K �+2miX3#yyNjy. |
| 02-harper-generative | ? iiTb, ff/ QBXQ`;fRyXRyydfNd3@j@yjy@yRkRe@3nkj. |
| 02-harper-generative | ? iiTb, ff/ QBXQ`;fRyXRyydfbRR3jR@yRN@yNj 33@v. Banerjee, Rajdeep H., Anoop Rajagopal, Nilpa Jha, Arun Patro, and Aruna Rajan. |
| 02-harper-generative | ? iiTb, ff/ QBXQ`;fRyXjjNyf �`ib3yRyyke. |
| 02-harper-generative | ? iiTb, ff/ QBXQ`;fRyXkj8kfAaaLXk9dy@RRdjXk yRNXR8X � oJ@y93. |
| 02-harper-generative | ? iiTb, ffDQm`M � HX+Q/29HB#XQ`;f �`iB+H2bfRjedR. |
| 02-harper-generative | ? iiTb, ffrrrX/ � BHv/ QiX+QKfH � v2`3f`2//Bi@/22T7 � F2b@# � Mf. |
| 02-harper-generative | ? iiTb, ffrrrX?QHHvrQQ/`2TQ`i2`X+QKf# 2?BM/@b+`22Mf`Bb2@ � HH@/B;Bi � H@ �+iQ`@RkkNd3j. |
| 02-harper-generative | ? iiTb, ffrrrXMviBK2bX+QKfkyR3fRyfk8f �`ibf/2bB;Mf � B@ �`i@bQH/@+?` BbiB2bX?iKH. |
| 02-harper-generative | ? iiTb, ffrrrXMviBK2bX+QKfkyR3fRyfk8f �`ibf/2bB;Mf � B@ �`i@bQH/@+?` BbiB2bX?iKH. |
| 02-harper-generative | Curran Associates, Inc.? iiTb, ffT` Q+22/ BM;bXM2m`BTbX++fT � T2`fkyR9f7BH2f8+ � j2N#Rkk7eR737ye9N9+Nd#R � 7++7j@S � T2`XT/7. |
| 02-harper-generative | The dataset is freely available(? iiTb, ff;Bi?m#X+QKf;QQ;H2+`2 � iBp2H �#f[mB+F/` � r@/ � i � b2i) and licensed under CC BY 4.0. |
| 02-harper-generative | What is Generative Machine Learning? |
| 02-harper-generative | “ Can Adversarial Networks Hallucinate Occluded People With a Plausible Aspect? ” Com- puter Vision and Image Understanding 182( May): 71–80. |
| 13-lucic-towards | 12See? iiTb, ff+QHH2+iBQMb � b/ � i � X;Bi?m#XBQfT �`ikr?QH2f. |
| 13-lucic-towards | 2See? iiTb, ffrrrX+?BTm#HB#XQ`;fQM2@#QQF@QM2@+?B+ �;Qf. |
| 13-lucic-towards | 3See? iiT, ff`2 �/X;Qpf`2bQm`+2bf. |
| 13-lucic-towards | 4See? iiT, ffrrrX � H � XQ`;fiQQHbfT`Q;` � KKBM;fQM2#QQF. |
| 13-lucic-towards | 6See? iiTb, ffQT2MMHTX � T �+?2XQ`;f. 7See? iiTb, ffbT �+vXBQf. |
| 13-lucic-towards | 6See? iiTb, ffQT2MMHTX � T �+?2XQ`;f. 7See? iiTb, ffbT �+vXBQf. |
| 13-lucic-towards | 8See? iiTb, ffrrrXMHiFXQ`;f#QQFf+?ydX?iKH. |
| 13-lucic-towards | 9See? iiT, ffHBMF2/;2Q/ � i � XQ`;f �#Qmi. |
| 13-lucic-towards | ? iiT, ffHBMF2/;2Q/ � i � X Q`;f �#Qmi. |
| 13-lucic-towards | ? iiT, ff`2 �/X;Qpf`2bQm`+2bf. |
| 13-lucic-towards | ? iiT, ffrrrX � H � XQ`;fiQQHbfT`Q;` � KKBM;fQM 2#QQF. |
| 13-lucic-towards | ? iiTb, ff+QHH2+iBQMb � b/ � i � X;Bi?m#XBQfT �`ikr?QH2f. |
| 13-lucic-towards | ? iiTb, ff/?X/2T � mHXT`2bbf`2 �/BM;@+?B+ �;Qf �#Qmif. |
| 13-lucic-towards | ? iiTb, ffrrrX �+Hr2#XQ`;f � Mi?QHQ;vfSR9@8yRyf. |
| 13-lucic-towards | ? iiTb, ffrrrX �+Hr2#XQ`;f � Mi?QHQ;vfSy8@Ry98f. |
| 13-lucic-towards | ? iiTb, ffrrrX+?BTm#HB#XQ`;fQM2@#QQF@QM2@+?B+ �;Qf. |
| 13-lucic-towards | ? iiTb, ffrrrX? � i?Bi`mbiXQ`;f. Kaser, A. James. |
| 13-lucic-towards | ? iiTb, ffrrrXQT2Mbi`22iK � TXQ`;f. Reading Chicago Reading. |
| 13-lucic-towards | How did different neighborhoods in a diverse but also segregated city respond to particular book choices? |
| 13-lucic-towards | How do libraries innovate? |
| 13-lucic-towards | The place names extracted from our three Chicago- setting OBOC books allowed us to focus 11See? iiTb, ffMHTXbi � M7Q`/X2/ mfb2MiBK2Mif. |
| 12-cohen-machine | 7See? iiTb, ffrrrXr?BiBM;XQ`;f+QMi2MifD � bQM@+Q?2M. |
| 12-cohen-machine | 8See? iiTb, ffF/ HXFvpHXQ`;f. 9Jason Cohen wishes to thank Mario Nakazawa, Bethanie Williams, and Tradd Schmidt for undertaking this project with him. |
| 12-cohen-machine | ? iiT, ff/ B;Bi � H?mK � MBiB2bXQ`;f/? |
| 12-cohen-machine | ? iiT, ff/ B;Bi � H?mK � MBiB2bXQ`;f/? |
| 12-cohen-machine | ? iiTb, ff/ QBXQ`;fRyXRRddfky8jN8RdR3d8dk8j. |
| 12-cohen-machine | ? iiTb, ff/ QBXQ`;fRyXRRyNf CS_P*XkyRkXkR3NNRN. |
| 12-cohen-machine | ? iiTb, ff/ QBXQ`;fRyXRRyNfCS_P*XkyR3Xk3jdy98. |
| 12-cohen-machine | ? iiTb, ff/ QBXQ`;fRyXRRyNfCS_P*XkyRNXkNyyekk. |
| 12-cohen-machine | ? iiTb, ff;QQ;H2T?QiQbX#HQ;bTQiX+QKfkyRefykfKQpBM;@QM@7`QK@T B+ � b � X?iKH. |
| 12-cohen-machine | ? iiTb, ff`2 � bQMX+QKfkyRdfRRfk8fi?2@MQ#H2@KBb;mB/2/@ TH � M@iQ@imf. |
| 12-cohen-machine | ? iiTb, ffrrrX/ �`2/ B+iBQM �`vX+QK. |
| 12-cohen-machine | ? iiTb, ffrrrXMviBK2bX+QKfky RNfy8fRkfmbfKBM2/@KBM/ b@r2bi@pB`;BMB �@+Q/ BM;X?iKH. |
| 12-cohen-machine | ? iiTb, ffrrrXMviBK2bX+QKfkyR3fyNfkRfQTBMBQMfbmM/ � vfbBHB+QM@p � HH2v@i2+?X?iKH. |
| 12-cohen-machine | ? iiTb, fftTK2i?Q/ XTH � BMi2tiXBMfiQ`M@ � T �`i fpQHmK2fkf. |
| 12-cohen-machine | But how should one handle the lack of a specific vocabulary within a given training set? |
| 12-cohen-machine | Cohen and Nakazawa 143 standardized toponym? |
| 12-cohen-machine | For instance, a recent invited contribution to Proceedings of the IEEE articulates a need 1See? iiT, ffTBM2KQmMi � BMb2iiH2K2Mib+?QQHX+QK. |
| 12-cohen-machine | How, we asked, should one handle such instances of effacement? |
| 12-cohen-machine | See grant number AK-255299- 17, description online at? iiTb, ffb2+m` 2;` � MibXM2?X;QpfTm#HB+[m2`vfK � BMX � bTt?74R �;M4 � E@k88kNN@Rd. |
| 12-cohen-machine | The github repo for the PMSS scraper is hosted here:? iiTb, ff;Bi?m#X+QKfh` �//@a+?KB/ ifSJaana+` � T2`. |
| 12-cohen-machine | “ Guidelines for a Memorandum of Understanding. ”? iiTb, ffrrrXDmbiB+2X;QpfbBi2bf/27 � mHif7BH2bfQprfH2; �+vfkyy3fRyfk Rfb � KTH2@KQmXT/7. |
| 12-cohen-machine | “ Sample Memorandum of Understanding. ”? iiT, ffrrrX/ QDXbi � i2X Q`XmbfrT@+QMi2MifmTHQ �/bfkyRdfy3fKQmnb � KTH2n;mB/2HBM2bXT/7. |
| 11-prudhomme-taking | ? iiT, ffDK+Xbi � M7Q`/X2/ mf �`iB+H2bfr? � iBb � Bfr? � iBb � BXT/7. |
| 11-prudhomme-taking | ? iiTb, ff#HQ;@B+ � XQ`;fkyRNfRyfykfK �+?BM2@H2 �`MBM;@ �`+?Bp2b@ � M/@bT2+B � H@+QHH2+iBQM b@ �@?B;?@H2p2H@pB2rf. |
| 11-prudhomme-taking | ? iiTb, ff/ QBXQ`;fRyXk8jjjftFdx@N;Nd. |
| 11-prudhomme-taking | ? iiTb, ff22iMX2mfFMQrH2/;2f/2i � BHf1pB/2M+2@amKK �` v@$f@ �`iB7B+B � H@AMi2HHB;2M+2@BM@2/ m+ � iBQM. |
| 11-prudhomme-taking | ? iiTb, ff;Bi?m#X+QKf �;2Bi;2vf 7 �+2n`2+Q;MBiBQM. |
| 11-prudhomme-taking | ? iiTb, ff;Bi?m#X+QKfi2bb2` �+i@Q+` fi2bb2` �+i. |
| 11-prudhomme-taking | ? iiTb, ffDQm`M � HX+Q/2 9HB#XQ`;f �`iB+H2bfRjedR. |
| 11-prudhomme-taking | ? iiTb, ffDQm`M � HbX � H � XQ`;fB M/2tXT?TfHi`fBbbm2fpB2rAbbm2fdyNf9dR. |
| 11-prudhomme-taking | ? iiTb, ffHB#` �`vXbi � M7Q`/X2/mf#HQ;bf/ B;Bi � H@HB#` �`v@#HQ;fkyRdfRRf �`iB7B+B � H@BMi2HHB;2M+2@ � M/@HB#` �`v@7mim`2@`2pBbBi2/. |
| 11-prudhomme-taking | ? iiTb, ffMHK/ B`2+iQ`XMHKXMB?X;QpfkyRNfyjfkef � B@ Bb@+QKBM;@ �`2@i?2@/ � i �@`2 �/vf. |
| 11-prudhomme-taking | ? iiTb, ffiQr �`/b/ � i � b+B2M+2X+QKfr?v@/22 T@H2 �`MBM;@Bb@M22/2/@Qp2`@i` �/BiBQM � H@K �+?BM2@H2 �`MBM;@R#e � NNRdd yej. |
| 11-prudhomme-taking | ? iiTb, ffrrrXBM7QrQ`H/ X+QKf �`iB+H2fjjjeRNkfr? |
| 11-prudhomme-taking | ? iiTb, ffrrrXBM7QrQ`H/ X+QKf �`iB+H2fjjjeRNkfr? |
| 11-prudhomme-taking | ? iiTb, ffrrrXMvmX2/ mfiBb+?fT`2b2`p � iB QMfT`Q;` � Kfbim/2MinrQ`FfkyRNbT`BM;fRNbni?2bBbna+?r2BF2`iXT/7. |
| 11-prudhomme-taking | ? iiTb, ffrrrXr � M/#X+QKf �`iB+H2bfQ#D2+i@/2i2+iBQM@rBi? |
| 11-prudhomme-taking | ? iiTb, ffrrrXr � M/#X+QKf �`iB+H2bfQ#D2+i@/2i2+iBQM@rBi? |
| 11-prudhomme-taking | ? iiTb, ffrrrXrB`2/ X+QKf biQ`vf7 �+2#QQFb@ � B@b � vb@7B2H/@?Bi@r � HHf. |
| 11-prudhomme-taking | Are Data Ready? ” NLM Musings from the Mezzanine( blog). |
| 11-prudhomme-taking | For images, how can archives build a data- labeling pipeline into their digital curation work- flow that enables machine learning of collections? |
| 11-prudhomme-taking | How can cultural heritage institutions ensure that their machine learning algorithms avoid such bad outputs? |
| 11-prudhomme-taking | How much could we rely on the estab- lished institutional memory within the archives? |
| 11-prudhomme-taking | In short, how could we justify the value of these digital assets for curatorial purposes? |
| 11-prudhomme-taking | Lastly, could machine learning or deep learning applications help us build a greater capacity to augment knowledge? |
| 11-prudhomme-taking | What started this Pilot Project? |
| 11-prudhomme-taking | Why do they Matter? |
| 11-prudhomme-taking | stated that it is important to construct a deep and convolutional per- region object 2See? iiTb, ff;Bi?m#X+QKf �;2Bi;2vf7 �+2n`2+Q;MBiBQM. |
| 11-prudhomme-taking | “ What is Artificial Intelligence? ” Professor John McCarthy( website). |
| 11-prudhomme-taking | “ What is Keras? |
| 11-prudhomme-taking | “ Why Deep Learning over Traditional Machine Learning? ” Towards Data Science( website). |
| 10-morgan-bringing | 2 �+? |
| 10-morgan-bringing | 2 �+? |
| 10-morgan-bringing | 3See? iiTb, ff;Bi?m#X+QKfb2M/2`H2fiQTB+@KQ/2HBM;@iQQH for the Topic Modeling Tool. |
| 10-morgan-bringing | 5See? iiTb, ffbT �+vXBQ. |
| 10-morgan-bringing | 7BH2 7Q` 7BH2 BM 7BH2b, O QT2 M i?2 7BH2 rBi? |
| 10-morgan-bringing | For example, who predicted the demise of many cen- tralized information authorities? |
| 10-morgan-bringing | How many librarians are able to create a file, put it on the Web, and share the resulting URL? |
| 10-morgan-bringing | QT2MU KQ/2H-^`#^ V � b? � M/ H2, Morgan 125 U p2+iQ`Bx2`-+ H � bbB7B2` V 4 TB+FH2XHQ �/U? � M/ H2 V O T`Q+2bb 2 �+? |
| 10-morgan-bringing | QT2MU KQ/2H-^`#^ V � b? � M/ H2, Morgan 125 U p2+iQ`Bx2`-+ H � bbB7B2` V 4 TB+FH2XHQ �/U? � M/ H2 V O T`Q+2bb 2 �+? |
| 10-morgan-bringing | QT2MU KQ/2H-^`#^ V � b? � M/ H2, Morgan 125 U p2+iQ`Bx2`-+ H � bbB7B2` V 4 TB+FH2XHQ �/U? � M/ H2 V O T`Q+2bb 2 �+? |
| 10-morgan-bringing | See? iiT, ffK � HH2iX+bXmK � bbX2/ m for MALLET. |
| 10-morgan-bringing | To learn how, see the GitHub 2See? iiTb, ff+QMpQ+ � i2XM/ X2/ m. |
| 10-morgan-bringing | X iti 7BH2 7Q` 7BH2 BM; HQ#X;HQ#U/B`2+iQ`v Y] f Xiti] V, 24 O QT2 M-` 2 �/- � M/+ H � bbB7v i?2 7BH2 rBi? |
| 10-morgan-bringing | Yet again, libraries use the Internet, but do they actually exploit it? |
| 14-hansen-can | 16See? iiTb, ff �+ �/2KB+XKB+`QbQ7iX+QKf. |
| 14-hansen-can | 18See? iiTb, ffK � i?b+BM2iX � KbXQ`;fK � i?b+BM2ifb2 �`+?fTm#HB+ � iBQMbX?iKH?/`4Tm#v2 �` � v`QT4 2[ � �`;j4kyR3. |
| 14-hansen-can | 19See? iiTb, ffx#K � i?XQ`;f?[4TvWj � kyR3. |
| 14-hansen-can | 20See? iiTb, ff �+ �/2KB+XKB+`QbQ7iX+QKfTm#HB+ � iBQMbfjjNkj89d. |
| 14-hansen-can | 4See? iiTb, ff` �/BK`2?m`2FX+QKf;2MbBKf. |
| 14-hansen-can | 5See? iiT, ffK � HH2iX+bXmK � bbX2/ mfiQTB+bXT?T. |
| 14-hansen-can | ? iiT, ff �`tBpXQ`;f �#bfR3y8XRkkRe. |
| 14-hansen-can | ? iiTb, ff7Q`imM2X+QKfHQM;7Q`Kf � B@ �`iB7B+B � H@B Mi2HHB;2M+2@/22T@K �+?BM2@H2 �`MBM;f. Rahimi, Ali, and Benjamin Recht. |
| 14-hansen-can | ? iiTb, ff;2Q/22T/ Bp2XQ`; f �#QmiX?iKH. |
| 14-hansen-can | ? iiTb, ffK � i?b+BM2iX � KbXQ`;fK`2bm#bf;mB/2@`2pB2r2`bX?iKH. |
| 14-hansen-can | ? iiTb, ffiQr �`/b/ � i � b+B2M+2X+QKfbmTTQ`i@p2+ iQ`@K �+?BM2@BMi`Q/ m+iBQM@iQ@K �+?BM2@H2 �`MBM;@ � H;Q`Bi?Kb@Nj9 � 9997+ � 9d. |
| 14-hansen-can | ? iiTb, ffrrrX#HQQK#2`;X+QKfM2rbf �`iB+H2bfkyR8@Rk@y3 fr?v@kyR8@r � b@ �@#`2 � Fi?`Qm;?@v2 �`@BM@ �`iB7B+B � H@BMi2HHB;2M+2. |
| 14-hansen-can | ? iiTb, ffrrrX#mbBM2bbBMbB/2`XBMfkyRd@Bb@i?2@v2 �`@Q7@K �+? BM2@H2 �`MBM;@?2`2b@r?vf �`iB+H2b?Qrf8e8R98j8X+Kb. |
| 14-hansen-can | ? iiTb, ffrrrX#mbBM2bbBMbB/2`XBMfkyRd@Bb@i?2@v2 �`@Q7@K �+? BM2@H2 �`MBM;@?2`2b@r?vf �`iB+H2b?Qrf8e8R98j8X+Kb. |
| 14-hansen-can | ? iiTb, ffrrrX2Mi`2T`2M2m`X+QKf �`iB+H2fk3djk9. |
| 14-hansen-can | ? iiTb, ffrrrXrB`2/ X+QKfkyR9fRyf7mim`2@Q7@ �`iB7B+ B � H@BMi2HHB;2M+2f. |
| 14-hansen-can | ? iiTb, ffrrrXvQmim#2X+QKfr � i+??p4ZBRu`vjjhZ1. |
| 14-hansen-can | Are You Sure it ’s a Nail? |
| 14-hansen-can | Chapter 14 Can a Hammer Categorize Highly Technical Articles? |
| 14-hansen-can | Not to mention: is this really a problem or are we just looking for a way to employ machine learning to say that we did? |
| 14-hansen-can | Questions like: is this problem large enough in scale to substitute machines for human labor given that machines will likely be less accurate? |
| 14-hansen-can | The Ře- 6See? iiTb, ff/ KHX+xf. |
| 14-hansen-can | When we had to report back on our work at the end of the course, 2See? iiTb, ff;2Q/22T/ Bp2XQ`;f. 3See? iiTb, ffbi � M7Q`/MHTX;Bi?m#XBQf*Q`2LGSf. |
| 14-hansen-can | When we had to report back on our work at the end of the course, 2See? iiTb, ff;2Q/22T/ Bp2XQ`;f. 3See? iiTb, ffbi � M7Q`/MHTX;Bi?m#XBQf*Q`2LGSf. |
| 07-kim-ai | 17See? iiTb, ffFB` � bvbi2KbX+QKf. |
| 07-kim-ai | 20The AMP wiki is? iiTb, ffrBFBX/ HB#XBM/ B � M � X2/ mfT �;2bfpB2rT �;2X �+iBQM?T �;2A/48jReNNN9R. |
| 07-kim-ai | 28See? iiTb, ffrrrX7 � iKHXQ`;f`2bQm`+2bfT`BM+BTH2b@7Q`@ �++QmMi �#H2@ � H;Q`Bi?Kb. |
| 07-kim-ai | ? iiT b, ffiQr �`/b/ � i � b+B2M+2X+QKf �@/ � i � b2i@Bb@ �@rQ`H/ pB2r@8jk3kRe//99/. |
| 07-kim-ai | ? iiT, ff �`K2/7Q`+2bDQm`M � HX+QKfr?Q@/2+B/2b@K � M@Q`@K �+?BM2f. |
| 07-kim-ai | ? iiTb, ff �+`HX � H � XQ`;fi2+?+QMM2+i fTQbif`27H2+iBQMb@QM@+Q/29HB#@kyR3f. |
| 07-kim-ai | ? iiTb, ff/ QBXQ`;f RyXRR98fjjyeeR3XjjR9k9j. |
| 07-kim-ai | ? iiTb, ff/ QBXQ`;fRyXRRkefb+B2 M+2X � � 7ke89. |
| 07-kim-ai | ? iiTb, ff/ QBXQ`;fRyXRyj3f/9R83e@yR3@y89eN@j. Cushman, Fiery, Liane Young, and Marc Hauser. |
| 07-kim-ai | ? iiTb, ff/ QBXQ`;fRyXRyydfbRjj9d@yR9@yR8e@N. Wallach, Wendell. |
| 07-kim-ai | ? iiTb, ffTH � iQXbi � M7Q`/X2/ mf �`+?Bp2bfbmKkyRNf2Mi`B2bf+QMb 2[m2MiB � HBbKf. |
| 07-kim-ai | ? iiTb, ffTH � iQXbi � M7Q`/X2/ mf �`+?Bp2bfrBMkyRef2Mi`B2 bf2i?B+b@/2QMiQHQ;B+ � Hf. |
| 07-kim-ai | ? iiTb, ffkykyX+Q/29HB#XQ`;fi � HFbf � A@Bb@bm+? |
| 07-kim-ai | ? iiTb, ffkykyX+Q/29HB#XQ`;fi � HFbf � A@Bb@bm+? |
| 07-kim-ai | ? iiTb, ffrrrX/ �`T � XKBHfT`Q;` � Kf2tTH � BM �#H2@ �`iB7B+B � H@BMi2H HB;2M+2. |
| 07-kim-ai | ? iiTb, ffrrrXB+`+XQ`;f2Mf/ Q+mK2Mifr? � i@ �`2@Dmb@ �/@#2H HmK@ � M/@Dmb@#2HHQ@y. Kahn, Leonard. |
| 07-kim-ai | ? iiTb, ffrrrXMviBK2bX+QKfkyR3fykfyNfi2+?MQHQ;vf7 �+B � H@`2+Q;MBiBQM@` �+2@ �`iB7B+B � H@BMi2HHB;2M+2X?iKH. |
| 07-kim-ai | ? iiTb, ffrrrXb+B2MiB7B+ � K2`B+ � MX+QKf �`iB+H2f?Qr@i?2@+QKTmi2`@#2 � i@i?2@;Q@K � bi2`f. |
| 07-kim-ai | ? iiTb, ffrrrXbQr2i � MHBp 2X+QXx � fM2rbfbQmi? |
| 07-kim-ai | ? iiTb, ffrrrXbQr2i � MHBp 2X+QXx � fM2rbfbQmi? |
| 07-kim-ai | ? iiTb, ffrrrXi2+?MQ HQ;v`2pB2rX+QKfkykyfy9fyRfNd9NNd. |
| 07-kim-ai | ? iiTb, ffrrrXi2+?MQHQ;v` 2pB2rX+QKfkyRNfy9fy3fRyjkkj. |
| 07-kim-ai | ? iiTb, ffrrrXi2+?MQHQ;v`2pB2rX+QKfkyRdfy9fRRf8RRj. |
| 07-kim-ai | ? iiTb, ffrrrXi?2p2`;2X+QKfkyR3f8f3fRdjjkydy f;QQ;H2@ � bbBbi � Mi@K � F2b@T?QM2@+ � HH@/2KQ@/mTH2t@BQ@kyR3. |
| 07-kim-ai | ? iiTb, ffrrrXrB`2/ X+QKfbiQ`vf � B@#B � b2/@?Qr@b+B2MiBbib@i`vBM;@7Btf. |
| 07-kim-ai | ? iiTb, ffrrrXrB`2/ X+QKfkyRdfy9f+Qm`ib@mbBM;@ � B@b2 Mi2M+2@+`BKBM � Hb@Kmbi@biQT@MQrf. |
| 07-kim-ai | ? iiTb, ffrrrXrB`2/ X+QKfkyRkfyef;QQ;H2@t@M2m` � H@M2irQ`Ff. |
| 07-kim-ai | @ �@iQQH@E22TBM;@vQm`@K �+? BM2@H2 �`MBM;@QmiTmib@BM@+?2+F. |
| 07-kim-ai | Between the two moral rules, “ do not kill a person ” and “ save lives, ” which one should trump the other? |
| 07-kim-ai | But how far should one go to maximize the good? |
| 07-kim-ai | But how would an AI system be able to do so? |
| 07-kim-ai | But what does “ as intelligent as a human ” exactly mean? |
| 07-kim-ai | But what if things were different and we were comparing five school children ver- sus one baby or five babies versus one school child? |
| 07-kim-ai | But what if those moral rules conflict with one another? |
| 07-kim-ai | Does the AI- powered information envi- ronment have a similar problem? |
| 07-kim-ai | In such a case, can we be justified in letting robots take the lives of other human beings? |
| 07-kim-ai | Is it permissible for people to delegate such a decision to AI? |
| 07-kim-ai | Or, should they be? |
| 07-kim-ai | See? iiTb, ffT � B`XH B#` �`B2bXQmX2/ m. |
| 07-kim-ai | Should the AI- powered trolley be programmed to swerve or stay on course? |
| 07-kim-ai | Should you pull the lever, so that the runaway trolley would kill one per- son instead of five? |
| 07-kim-ai | What if the five people on the track are help- less babies or murderers who just escaped from the prison? |
| 07-kim-ai | What kind of AI- driven information systems and environments would be created if libraries approach AI with such intention from the beginning? |
| 07-kim-ai | Would or should that affect our de- cision? |
| 07-kim-ai | Would this count as a right thing to do? |
| 07-kim-ai | “ How Many Computers to Identify a Cat? |
| 07-kim-ai | “ What Are Jus Ad Bellum and Jus in Bello? ” January 22, 2015. |
| 07-kim-ai | “ Who Decides: Man or Machine? ” Armed Forces Journal, November. |
| 05-wiegand-cultures | 4See? iiTb, ff+H �`Bp � i2X+QKfb2 �`+?f?b2 �`+?4+QKTmi � iBQM � HWky/ � i � b2ib. |
| 05-wiegand-cultures | 5See? iiTb, ff/2pX2Hb2pB2`X+QKf and? iiTb, ff;mB/2bXHB#X#2`F2H2vX2/ mfi2ti@KBMBM;. |
| 05-wiegand-cultures | 5See? iiTb, ff/2pX2Hb2pB2`X+QKf and? iiTb, ff;mB/2bXHB#X#2`F2H2vX2/ mfi2ti@KBMBM;. |
| 05-wiegand-cultures | ? iiT, ff �`tBpXQ`;f �#bfkyykXRR3je. |
| 05-wiegand-cultures | ? iiT, ffrrrXQT2M �++2bbr22FXQ`;fpB/2QfpB/2Qfb?Q r?B/48j38RR8Wj � oB/2QWj � Ny99k. |
| 05-wiegand-cultures | ? iiTb, ff �+`HQ;XQ`;fkyRjfy9fy ef �+b@bQHmiBQMb@i?2@bim`K@mM/@/` � M;f. Wiegand, Sue and Frances Kominkiewisz. |
| 05-wiegand-cultures | ? iiTb, ff#HQ;XM � iBQM � H �`+?Bp2bX;QpXmFfK �+?BM2@H2 �`MBM;@ �`+?Bp 2bf. |
| 05-wiegand-cultures | ? iiTb, ff#HQ;bXHQ+X;Qpfi?2b B;M � HfkykyfykfK �+?BM2@H2 �`MBM;@HB#` �`B2b@bmKKBi@2p2Mi@bmKK �`v@MQ r@HBp2f. |
| 05-wiegand-cultures | ? iiTb, ff/ Q BXQ`;fRyXRyykf � bBXkRR9d. |
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| 05-wiegand-cultures | At each particular inflection point, how best to communicate with stakeholders about the value of the distinctive library mission? |
| 05-wiegand-cultures | Can the library work with other cultural heritage institutions to highlight the unique contributions of all? |
| 05-wiegand-cultures | Discussion The larger questions now are, who is heard and who contributes? |
| 05-wiegand-cultures | How are gaps, identified in needs analysis, reduced? |
| 05-wiegand-cultures | How can librarians best teach skills, foster engagement, and create knowledge to make a distinctive contribution to the institution? |
| 05-wiegand-cultures | How can librarians reconcile past identity, add value, and leverage hard- won expertise in a new environ- ment? |
| 05-wiegand-cultures | Libraries could start with analyses of needs — what problems could be solved with more effec- tive literature searches? |
| 05-wiegand-cultures | Other projects included the development 3See? iiTb, ffrrrXDbiQ`XQ`;f/7`f �#Qmif/ � i � b2i@b2`pB+2b. |
| 05-wiegand-cultures | What are sources of funding for libraries to develop this important work and not leave it to commercial services? |
| 05-wiegand-cultures | What does the library do that no other entity on campus can do? |
| 05-wiegand-cultures | What else might a researcher want to do that the library could include in a Researchers ’ Work- station? |
| 05-wiegand-cultures | What is a library in rapidly changing times? |
| 05-wiegand-cultures | What kind of teaching could help build citizens and critical thinkers, rather than simply encouraging consumption of content? |
| 05-wiegand-cultures | What research could fill gaps and inform solutions to those needs? |
| 05-wiegand-cultures | “ Big Deal: Should Universities Outsource More Core Research In- frastructure? ” Ithaka S+R. |
| 05-wiegand-cultures | “ You ’re a Researcher Without a Library: What Do You Do? ” AWikipedia Librarian( blog), Medium. |