Event Review: Museums and AI in the 21st Century

The event taken place at Cooper Hewitt, Smithsonian Design Museum on Sep 16, 2019 mainly discussed the applications of Artificial Intelligence now and future and highlighted the role of museums as making people more self-aware. There were three talks in the event given by three different perspectives (a curator, a computer and a future teller) and a free Q & A session afterwards.

Curator: Andrea Lipps, an associate curator of Contemporary Design, Cooper Hewitt

The talk given by a curator from Cooper Hewitt first discussed the impact of AI on our lives right now. As is known to all that AI could be used in different kinds of fields like education, recreation, medical treatment, marketing automation, etc. AI could analyze large amounts of data in a short period of time and help make quick decisions. The benefits of AI are undoubted and visible. However, the curator also pointed out some questions that could not be ignored:

1.How can we ensure diversity, inclusion, safety and human rights are maintained with AI?

2.What role would AI play in our future?

3.How could museum use AI to represent new things?

There is no right or wrong to these questions and we could interpret the questions from different angles. The curator also provided some frameworks that we could use to think about AI:

1.Is it active or passive? If it is active, do you have a choice? If it is passive, is it being disclosed?

2.Is it being linked to a real-world identity or just used as anonymous ID?

3.Which methods being used when connecting AI with museums?

It’s true that we could only predict the influence and applications of AI in the future but what we should pay attention to right now are our own values and priorities. Because the use of AI is designed by human beings and design is just the externalization of our own desire. “If we use, to achieve our purposes, a mechanical agency with whose operation we cannot efficiently interfere once we have started it… we had better be quite sure that the purpose put into the machine is the purpose which we really desire.” Said Norbert Weiner in 1960.

Computer: Harrison Pim, a Data Scientist from Wellcome Trust

The data scientist who represented a computer talked about his work content, that he used machine learning in dealing with loads of images, texts and collections quickly but not analyzing users or visitors, since AI in current period was parasitic on data. He also pointed out that AI was not designed to replace human beings but as tools to be used by people. So, the main point is how to use the tools to better serve people’s needs. The talk given by “the computer” reminded me of what I read in What is Computer Ethics: we are in a conceptional vacuum and policy vacuum world and we need to reexamine the regulations in the past world, from how to define tech-based concepts to create a relatively neutral algorithm. It is impossible to create something absolutely neutral but by creating diversity, the “fundamental vulnerability” could somewhat be relieved.

Creator: Karen Palmer, a storyteller from the future

The future teller first warned everyone that the technology would take over everything and individuals would find themselves lack privacy or security in the near future if we did nothing. We would be derived of the right of telling our own stories and the world was going to be consist of auto-self surveillance, weaponized technology and biased networks.

She used the example of criminal justice system to confirm us that bias would be the biggest problem in AI applications. An example used to support was the UK police using AI to inform custodial decisions which could be discriminating against the poor. Most assumptions made by AI right now were based on false theory while these assumptions are trend to take over our lives. Thus, she concluded that democratizing AI should be what we fight for in the near future.

What she highlighted was the necessary to turn the information age to an age of perception. “Those who tell the stories rule the world.” What museums should do is to make people more self-aware and create more opportunities to arouse citizens’ insights to social issues.

Q & A session

Q: How to apply machine learning in the field of design?

A: To begin with, the interactions between users and products would be changed by new technologies but the role of designers should not be overshadowed by AI. We could use AI to produce products or test prototypes faster. In a word machine learning should serve us but we should not be slaved by it.

Q: What would justice be like in the future and what is the role of machine learning in it?

A: Neither machine learning or artificial intelligence could answer future justice problems. Those concepts should be determined by human beings but not computer technologies. What would happen in the future is the living space AI help to create and people could better understand culture issues in the museums.

Conclusion

Though we have to admit human’s dominant role in the applications of AI, there are other problems about surveillance, power and constraints that could not be ignored. “In an era of extractivism, the real value of that data is controlled and exploited by the very few at the top of the pyramid.” Said Crawford & Joler. The event did not predict how the regulations could be established but just pointed out museums’ future role in arousing people’s awareness, which I think lack enough support and overly optimistic to some extent. Anyway emphasizing museums’ social responsibility is quite necessary right now and all museum practitioners should be prepared for the transformation of exhibition modes.

Reference

Norbert Weiner (1960), Some Moral and Technical Consequences of Automation;https://www.lesswrong.com/posts/2rWfmahhqASnFcYLr/norbert-wiener-s-paper-some-moral-and-technical-consequences

James H. Moor (1985), What is Computer Ethics? 1-2

Tarleton Gillespie (2014), The Relevance of Algorithms, 191; https://www.microsoft.com/en-us/research/wp-content/uploads/2014/01/Gillespie_2014_The-Relevance-of-Algorithms.pdf

Crawford & Joler (2018), Anatomy of AI system; http://www.anatomyof.ai

Newest Americans: Activating Archives Through Oral History

Through the historical gates of Barnard College, under the shadow of Riverside Church, and down the stairs of the Milstein Center Library, Columbia University’s Oral History Master of Arts program held the second event in a series of oral history and story-telling workshops. Tim Raphael, co-founder and director of the Newest Americans oral history and story-telling project, presented about the origins and scope of the project. Despite being a talk geared towards historians and story-tellers, there stood out a few interesting connections to preservation and representation in archives and story-telling. 

Raphael, a newly appointed Arts, Cultures, and Media Professor at Rutgers University, displayed his theater background with the ease in which he handled a few technical difficulties. Through video clips not cooperating, his laptop having died hours ago, and being emailed the wrong and out-of-order slide presentation, Raphael handled himself well and showed only a slight nervousness at speaking to Ivy League students and professors. Personally, I felt at ease upon overhearing several students discuss their confusion over an assignment, and one students’ phone going off mid-presentation. Ivy League-ers, they’re people too. 

A few sharply worded digs at archivists early on brought to mind Michelle Caswell’s impassioned discussion of the “intellectual rift between archival studies scholarship and humanities scholarship” in her article for Reconstructionism (Caswell, 2016, p. 15). Speaking casually with Columbia’s director of OHMA, Amy Starecheski, Raphael uttered the phrases, I’m paraphrasing, “the archives as chambers of death,”  and “archives are where no on who’s not an academic dare to tread.” As I wondered if this is what it feels like to be an information professional, to feel peeved when someone speaks down on archives, Raphael began his presentation. 

Before introducing the main event, Dr. Starecheski started by acknowledging the land. She acknowledged that Columbia and Barnard sit on the stolen land of the unseated Lenape People, and that indigenous stories are rarely seen in archives. Inspired by the hyper-diverse community of the area, Newest Americans is a multimedia oral history and story-telling project at Rutgers University focused on telling the stories of immigrants and first generation Americans in and around Newark, New Jersey. It works through collaboration between film makers, photographers, artists, historians, journalists, faculty, and students. 

It all started when a cardboard box of tapes from the 90s was found in the corner of a library, “and the librarian didn’t even know it was there” mused Raphael. These tapes were found to contain over 120 interviews with people who moved to Newark during the Great Migration between 1916 and 1970. Interviews with people of African heritage and descendents of slaves, the stories inspired Raphael to tell, what he calls, “local narratives with national and global implications.” The stories told are all examples of the preservation of cultural heritage, and the attempt to collect the stories of often ignored Americans. The goal of the format is to, as Raphael explained, “activate the archive” by creating engaging, entertaining, and informational short videos that new dimension to the american story. 

Raphael showed one of the first projects produced by Newest Americans: an 8 and a half-minute documentary about current Newark mayor, Ras Baraka, his father, and his grandfather. The two voices heard in We Came and Stayed: Coyt Jones/Ras Baraka, are that of Baraka and his grandfather: Coyt Jones, who was the grandson of a slave and whose interview was one of the over 120 found in a box. Jones was asked over 14 pages of questions for an oral history project organized by the Krueger-Scott Cultural Center in the 90s. 

The Mayor of Newark Ras Baraka answers questions in an interview with Marcia Brown at City Hall, in Newark, New Jersey, on March 13, 2015. (Photo by Ashley Gilbertson / VII Photo)

This is a long quote but it perfectly summarizes the documentary: “In his interview, Coyt Jones reflects on his arrival in Newark [in 1927] and the city in which he raised his family. […] Ras Baraka sat down with Marcia Brown to share his own memories of growing up in Newark, and to answer some of the same questions posed to his grandfather twenty years ago. Together these interviews describe how the Great Migration transformed a family and a city (Newest Americans, 2015).” This is an entertaining way to preserve cultural heritage and I can envision a museum exhibit dedicated to the projects inspired by these tapes. In a way, this story is an example of Macdonald’s ‘difficult heritage.’ It is a way for people who lived through the civil rights era and were victims of injustice to further take ownership of their history and identity. 

After We Came and Stayed, Newest Americans expanded into stories of people of many different backgrounds and U.S. cities, and recently began projects in Guatemala, Malta, and Lebanon. There was a tense moment towards the end of the question and answer part of the event when Raphael was asked about his role as a storyteller who is a white male and the inherent power imbalance. He appeared a bit shaken and shifted to the importance of story-telling and how much he loves the stories and that with the “access to all these amazing people” how could he not want to tell their stories. He finished his non-answer by stating, “if we only told our own stories, what a f—-ing boring world it would be.” Miriam Posner addressed this issue at the end of her keynote speech . She said, “it’s incumbent upon all of us […] to push for the inclusion of underrepresented communities […] (Posner, 2015). But, as Joan Shwartz noted towards the end of an introduction to two issues of Archival Science, and referencing Verne Harris, “It is important […] not to romanticize the marginalized, or feel elated for saving them from historical oblivion” (Schwartz, 2002, p. 17). There is a trend among archivists to collect previously unheard or underrepresented voices and stories, but inherent bias exists even if unintentional. For example, Indigenous Cataloging is the process for organizing information of indigenous people, but to have a separate phrase possibly further marginalizes the community. However, these stories need to be preserved and told as well, even if they are told by an outsider. It’s a difficult issue with a lot of ongoing discussion. 

Representation and preservation in archives and oral history will continue to focus more on the underrepresented voice and I think the best thing to do is, like Dr. Starecheski, acknowledge that we are on stolen land and acknowledge the power imbalance of a white male producing a documentary about the those underrepresented voices. Newest Americans is an admirable example of activating archives to bring stories alive. 

Heidi Klise

Sources:

  1. Caswell, Michelle. (2016). “The Archive’ is Not An Archives: Acknowledging the Intellectual Contributions of Archival Studies” Reconstruction 16(1). http://reconstruction.eserver.org/Issues/161/Caswell.shtml.
  2. Macdonald, Sharon. (2015). “Is ‘difficult heritage’ still difficult?” Museum International 67: 6–22
  3. Newest Americans. (Summer 2015). “We Came and Stayed: Coyt Jones/Ras Baraka.” Retrieved from http://newestamericans.com/wecameandstayed-baraka/#
  4. Posner, Miriam (2016). What’s next: The radical, unrealized potential of digial humanities. Keystone DH conference, University of Pennsylvania, July 22, 2015. http://miriamposner.com/blog/whats-next-the-radical-unrealized-potential-of-digitalhumanities/
  5. Schwartz, Joan M. & Terry Cook. (2002). “Archives, records, and power: the making of modern memory,” Archival Science 2: 1–19.


Event Review: Braiding Strands of Wellbeing: Reclaiming, Healing, and Sending Knowledge into the Future

In her talk, Braiding Strands of Wellbeing: Reclaiming, Healing, and Sending Knowledge into the Future, Dr. Sonya Atalay discussed anthropologists and archaeologists can and incorporate the local and indigenous populations’ cultural practices of sharing and preserving knowledge into their studies of these cultures. An anthropologist and Ojibwe (the Native American tribe also known as the Chippewa) keeper of knowledge, Dr. Atalay has conducted anthropology and archaeology research within indigenous populations in North America as well as the Middle East. Her work, including her books Community-Based Archaeology: Research With, By, and for Indigenous and Local Communities and Transforming Archaeology: Activist Practices and Prospects, has been focused on the development and implementation of participatory research, seeking to decolonize the language and practices used by non-indigenous researchers as well as justice for communities through the collection of indigenous artifacts. Dr. Atalay is currently working on her book, Braiding Knowledge, an ethnographic review of these projects and other engaged scholarship of indigenous communities to how collaborative knowledge production are transforming research practices and outcomes. Many of her concepts are similar to practices found in the Ethics of Fieldwork by the Program for Ethnographic Research & Community Studies, expanded and adapted to the fields of Anthropology and Archaeology.

The main example used in her talk was the ezhibiigaadek asin, which translates to “the place where knowledge is written on stone”, a Saginaw Chippewa heritage site archaeologists refer to as the Sanilac Petroglyphs.The carvings on the rock face represent history of the tribe as well as instruction on how to send its knowledge into the future. A sacred site, with important physical and cultural links to the surrounding area, cultural practices involve water art ceremonies where tribal elders bring river water to wet the carvings and share the histories and practices represented. The researchers working on the site, to protect the site for their own purposes, had covered the rock face with a pavilion and installed a fence to prevent erosion and vandalism of the carvings. Gated and only available to the public upon request of a scheduled visit the indigenous community could not access the site or conduct the water art ceremonies.

A place of knowledge for both tribe members and anthropologists, the difference in approach to accessibility and use of the physical site indicates the divide in perspective each group holds about the information the site contains and how to it should be studied. Not only did researchers not take into account the indigenous people’s desires for how the site is utilized but also the outcome and application of the research. A source of contention was the misinterpretation of one petroglyph archaeologists dubbed the hunter. The carving actually depicts shkabewis, a spiritual teacher sending information and knowledge into the future. Not only had the researchers misinterpreted its meaning, fitting the colonial narrative of Native Americans as hunters rather than purveyors of knowledge and information, the University of Michigan had copyrighted the image of the carving and used it in branding. they  as well as the the physical site, the information and knowledge it contains

An image of the shkabewis carving taken from Dr. Atay’s Braiding Strands of Wellbeing: Reclaiming, Healing, and Sending Knowledge into the Future.

When the researchers began consulting the Ojibwe leaders, it resulted in a shift in practices, results and use of their work. By addressing some of the concerns PERC in the such as establishing a rapport with the participating group, learning indigenous knowledge needs and desires of application of the research and the representing the participants in a recognizable and respectful way. The Saginaw Chippewa gained more consistent access to the ezhibiigaadek asin as well as influence over the conduction and results of the fieldwork. The archaeologists gained a more accurate representation of the petroglyphs and people that created them.   

Dr. Atalay presented the ethnographic comic “Journeys to Complete the Work: Stories about Repatriations and Changing the Way We Bring Native American Ancestors Home (NAGPRA Comics: A Graphic Narrative)” she co-authored with John G. Swogger, and Jen Shannon, in collaboration with Shannon Martin and William Johnson of the Ziibiwing Center of Anishinabe Culture & Lifeways, and Tribal elders Sydney Martin & George Martin. The comic details the effort of anthropologists and tribal leaders to have the remains of Native American peoples, held by several museums, returned to their ancestors for proper burial on the basis of the Native American Graves Protection and Reparations Act. This comic, along with others Dr. Atalay has produced on similar topics, is a novel way for Ethnographers to share their research practices and results with the populations they study and the general public.

Dr. Atalay’s talk was an enlightening look at how ethical fieldwork in ethnographic studies, including the concerns outlined in the PERC document, can be practically applied to a variety of fields of study.

References:

PERCS: The Program for Ethnographic Research & Community Studies, The Ethics of Fieldwork

Atalay, S., Shannon, J., Swogger, J., (2017) Journeys to Complete the Work: Stories about Repatriations and Changing the Way We Bring Native American Ancestors Home (NAGPRA Comics: A Graphic Narrative) 

Event: Why No One is Looking at Your data


Department heads painstakingly compile reports and analyses filled with data which are sent to executives every week. The pages are barely skimmed, if read at all. Network and security operation centers line the walls with giant screens, displaying dashboards powered by expensive big data analytics. No one ever takes more than a passing glance on the way to lunch. If data is so essential, why is it so easily ignored? Many data initiatives fail to make a real impact.”

On April 10, 2019 I attended “Why No One is Looking at Your Data”, an event hosted by Meetup featuring Clare Gollnick, the Director of Data Science at NS1. Clare Gollnick started her career as a Neuroscientist and holds a PhD from Georgia Tech and a BS from UC Berkeley. As an expert on statistical inference and machine learning, she writes and speaks often on the intersection of data, philosophy, and entrepreneurship. She was previously Chief Technology Officer of Terbium Labs, where she led a diverse team of engineers and researchers. The team released novel data intelligence solutions which prevents credit card fraud while still protecting consumer privacy. Clare has published a number of academic papers on information processing within neural networks, validation of new statistical methods and the philosophy of science.

The presentation was focused on the difference between data and information, designing data dashboards and data products and “Why No One is Looking at your Data”.

Clare starts off her presentation with the scene from Douglas Adams’ novel series, The Hitchhiker’s Guide to the Galaxy to demonstrate how difficult it is to understand data without any context. In short, a race of hyper-intelligent, pan-dimensional beings had built an enormous supercomputer named Deep Thought, which calculated over a period of 7.5 million years to answer the meaning of: life, the universe, and everything. After 7.5 million years of calculation, the pan-dimensional people gathered eagerly to watch Deep Thought finally announce the answer they have been waiting for.

Scene from Douglas Adams’ novel series, The Hitchhiker’s Guide to the Galaxy.

The answer was “42”. But what does “42” mean? Data can mean absolutely nothing if you do not provide it with context.  

Practical suggestions were provided from the presentation such as choosing initiatives for investments, and providing valuable data to deliver useful and interpretable information. To understand the personal mental logic process while looking at data, Clare provided a demonstration and suggestions on how to make inferences.

The first and most obvious suggestion was to add units to the data. Using “42” as a random piece of data, adding kilogram (kg) to 42 would make 42 into 42kg. A kilogram is a SI unit of mass, an international standard, which scientists have based their definition of the fundamental unit of mass on a a shining platinum iridium cylinder stored in a locked vault in France. However, most people have not seen this cylinder, and they would be considered non- experts. Yet they are able to develop a concept of what a kilogram means by having shared experiences with other items labeled kilogram throughout their life. For example, people at the gym might have a concept of a kilogram based on the weights they would use for a specific workout done in the past. This method can be applied with any form of information, and can be built upon as well. “Cat” was then added to 42kg, further explaining the mental logic in understanding the context of 42 kg while visualizing a 42 kg cat. Claire further explains that a person with knowledge about cats (an expert) might visualize a larger cat, such as a leopard.

Segmenting the market or the audience into experts and non-experts may be the result of a single piece of data. An expert would be someone who has a solid understanding of the given information, whereas an non-expert would have considerably less knowledge.

Summary Statistics Inform Only Experts
Summary Statistics Inform Only Experts

Data results from the mental model might be different given the knowledge gap between the expert and non-expert. Experts use data more effectively, and therefore reach a “threshold” in which something is actionable. Given a single piece of data, the expert crosses that threshold and catapults into another stratosphere of other questions and other types of issues they might want to know about the data. Meanwhile, non-experts are unable to obtain the minimum knowledge required to alter their action. An expert with more familiarity of the subject might ask for the raw data because they know what to do with it, whereas the non-expert would be clueless. Clare emphasized that this dynamic creates challenges for those trying to design a product. The goal of a product should deliver repeatable and scalable value with consistent outcomes across the entire target market. When you end up in this middle ground, you are stuck with a wall of data which is not viewed or seen. Experts find data at the source while others attempt to interpret information on the dashboard.

Data Does Not Speak For Itself

The presentation take away was the difficulty in making sense of data when it does not speak for itself. This belief is addressed in Boyd and Crawford’s article, Critical Questions for Big Data: Provocations for a Cultural, Technological, and Scholarly Phenomenon”. Where Big Data provides ‘destabilizing amounts of knowledge and information that lack the regulating force of philosophy’ (Berry 2011). To understand data, there needs to be context. As mentioned in the the article Critical Data Studies: An Introduction by Andrew Iliadis and Federica Russo, data is apprehended through various levels of informational abstraction (Floridi, 2011). Big data is framed within levels of informational abstraction, where the product of positionalities constrain and afford a gateway into multiple data roles including abstraction which may be adopted, manipulated, or repurposed for any number of aims. This is a crucial part of giving sense to data. Choosing a level of abstraction from which to view Big Data alters the types of conversations that can be had about data, its aims, and functions (Iliadis, Russo 2016).

Conclusion

When you fail to recognize that data is difficult to understand, you can wind up with mismatched expectations between what is promised and delivered within a data project. Overall, the main suggestion was the need for inferences, or making a comparison to existing knowledge. Data can only inform once you already know something. You need knowledge to gain knowledge.

References:

Berry, D. (2011) ‘The computational turn: thinking about the digital humanities’, Culture Machine, vol. 12, [Online] Available at: http://www.culturemachine.net/index.php/cm/article/view/440/470 (11 July 2011).

Danah Boyd & Kate Crawford (2012): Critical Questions For Big Data, Information, Communication & Society, 15:5, 662-679 http://dx.doi.org/10.1080/1369118X.2012.678878

Floridi, L (2011) The Philosophy of Information, Oxford: Oxford University Press. https://doi.org/10.1111/1467-9973.00221

Gollnick, C. (2019, April 10). Why No One is Looking at Your Data. Lecture presented at Meetup: UX+Data, New York.

Iliadis, A., & Russo, F. (2016). Critical data studies: An introduction. Big Data & Society. https://doi.org/10.1177/2053951716674238 

I spent an hour observing the Glossier flagship store as an information space.

I’ll be honest, for a long time I thought the millennial-favorite cosmetic brand Glossier’s flagship in NYC was invite-only. I’d seen the NYC showroom’s pale pink, the enticingly instagramable interior on the feeds of Instagram influencers. It was so lavish in comparison to a Sephora or Ulta; I didn’t think they’d let the public pour in. This changed once I saw the now ubiquitous plastic pink bag and bubble-wrapped pouches in the hands of the masses on the 4 train. My manufactured mystique around the showroom’s accessibility made Glossier a perfect information environment subject to observe.

Putting an ecommerce gloss on retail

Glossier’s part of a new class of neoliberal disruptors in the retail space for women. They use a social-conscious capitalist model: A body-positive, female empowerment brand that turns buying cosmetics into an act of resisting the patriarchy. Glossier’s picture-perfect showroom is an information environment similar to other retail brands that started as direct-to-consumer companies with NYC flagships, like Casper or Away. Their idea is to bring their recreate their beloved e-commerce experience in person.

An empty flagship via WWD.com

Once the doorman swings open the door on Lafayette street, you’re confronted with a pink-velvet cavernous staircase (I had to inquire about wheelchair accessibility, as an alternative to the stairs was not easily discoverable) that leads to a large, open-concept space with mirror-lined walls and more shades of pink decor. The crowd was large and surprisingly young. Mobs of girls no older than 14 painting their faces in such a plush setting; like a child trying on lipstick in mom’s bathroom.

Mascara as information

At Glossier, the information, or products, are extremely inviting. Unlike Sephora where the products are in high display cases at an angle, Glossier’s information lays flat on low-lying tables. The many tables have ridges that signify they can be picked up, and where to place them after. Also on the table are testing materials that make the products try-able for the masses. Cups filled with bite-size mascara wands, eyeshadow brushes, and eyeliner sticks are key signifiers that green-light trying the information. The products on the tables themselves are missing their application tools so the users must use a sample-size wand or brush to access the product. In other makeup stores like Sephora, or even the counter at Saks, I’ve never seen a testing product manipulated it such a way. Wouldn’t the users want to see the product in its entirety before using? Isn’t setting out the disposable application tools clear enough? Apparently, it’s not clear and can be a real hygienic concern. Glossier’s limited product testing design method is more user-centric than I thought.

Get in the groove: Try the products at Glossier

In the “wet room”, users can test the products with one of the many sinks that line the walls. When I took a peek, no one was full-on washing their face. A couple of giggling girls were taking a picture of the moisturizer. I asked an employee, Glossier’s information intermediaries, and she said people are a little tentative to lather up in-store. However, once someone takes the plunge, others follow. I’m familiar with this herding mentality from the behavioral economics book Nudge. This was a clear indication that within information environments, social norms can often serve as a barrier to access.

Cosmetic tech

Glossier information intermediary with iPad

Once you find a product you like, purchasing requires face-to-face contact with one of the intermediaries. Glossier is set-up like Apple’s genius bar, except the geniuses holding iPads specialize in makeup and skincare and adorn baby pink jumpsuits. The pink intermediaries are extremely friendly, but don’t overstep; I observed most of them smiling along the outer rim of the floor. Users went to them only when needed, dissimilar to the constant “can I help you find anything” at other retail spaces.

Glossier’s checkout system reminds me of a gas station in New Jersey; You can really do it yourself, but they won’t let you. A Glossier employee will scan your products with the iPad and then have you enter in all your information. On the interface, it has a place to enter a promo code, but I heard an employee tell the users they had to purchase the items online if they wanted to use the promo code. They could still pick up their products today, but downstairs where the other online pick-up orders are sent. I’m sure there’s a technological back-end reason for this promo process, but why include the promo line in the in-person checkout, to begin with?

Conveyor belt via Yelp

An info show

Once you’ve purchased your products with Apple technology in the hands of an intermediary, the pick-up process becomes kind of clunky. You’re told to wait in the waiting room, where there are more jumpsuit-fitted employees behind a counter with a vertical conveyor belt on the wall. A horde of people is anxiously awaiting one of the pink jumpsuits to grab their pink bag from the conveyor belt and call out their name. After witnessing the iPad and conveyor belt, it seemed so odd their process of delivery was to scream a name out, instead of implementing an arrival screen, like at an Airport. The employee had to continual repeat names, and to be completely honest, did not seem thrilled about it. The conveyor belt was a slow process and visually interesting. However, I wasn’t able to capture my own video as one of the intermediaries shouted “no photos.” I had to wonder if employee agency conflicts with the designed space; I just don’t see another reason for the expensive conveyor belt display but for social media fodder.

While there are some design hiccups, I think Glossier did a fair job of turning their seamless ecommence interface into a IRL retail space. I didn’t originally view the information environment as accessible, so upon entry, I was pleasantly surprised by the user-centric design.

References:

Buckland, M. (1991). Information as Thing. Journal of the American Society for Information Science. Jun1991, Vol. 42 Issue 5, p351-360. 10p.

Norman, D. A. (1990). The design of everyday things. New York: Doubleday. 

Thaler, Richard H.,Sunstein, Cass R. (2008) Nudge :improving decisions about health, wealth, and happiness New Haven : Yale University Press,

Event: Business re-imagined with Machine Learning and Artificial Intelligence

AI is real and it can be used to benefit the business and competitive advantage. There is a strong relation between the analytical capabilities and AI capabilities of the company. The business value that AI offers is solid. It will improve products and processes and make decisions better informed.  

On April 9th 2019, Capital One and NYC Media Lab hosted an event on Machine Learning and Artificial Intelligence. The purpose of the event was to stimulate the deep discussions on the various aspects of future of machine learning and AI and real-world applications. This event looked into various aspects of machine learning such as the unprecedented impact on businesses and new considerations, challenges and opportunities that the technology will bring. The speaker of the event was Tom Davenport who is the professor of Information Technology and Management at Babson College, a fellow of the MIT initiative for the Digital Economy and a Senior Advisor to Deloitte Analytics.  

The seminar started with welcoming Tom Davenport on stage. Tom began with the seminar with stating the facts of AI in large American companies. He believes that 20-30% are AI aware and actively employing multiple technologies but very few put AI at first. Many firms are setting up AI management and infrastructure to automate jobs but AI have challenges of its own like implementation, integration, talent and data. But as he says the growth of AI is unavoidable. The questions initiated in this event were if we should have major ambitious AI projects or a number of small ambitious projects. 

AI technologies is a constellation of machine learning, neutral networks, natural language processing generation, rule engine, robotic process automation, digital workflows, custom integration and combination of these. But the most used technologies by companies are machine learning, deep learning, use of natural language processing and the robotic process. Tom mentioned that most AI projects fall into major three categories like robotics and intelligence automation for routine and data intensive administration tasks, AI based insights for insights from structured data and AI based engagement for interaction with customers or employees. AI not only helps in the automation of process but also benefit in enhancing the products, optimize the operations, make better decisions and many more.  

Tom gave few examples of companies having successful AI technologies. Vanguard, a financial portfolio management company, uses AI for One Big Application which is a “Personal Advisor Service”, it combines automated and human investment advice for portfolio rebalancing, tax loss harvesting and retirement income scenarios. Pfizer, a medicinal drug company, uses machine learning to classify prescribers of pain drugs and target discontinuing patients. Capital One uses machine learning to focus on credit decisioning and all aspects of customer interaction and operation. Google puts AI first to rank page and advertising algorithms. Google also has research labs to do research on AI and deep learning.  

Looking at these examples, Tom also explained that there are companies having both less ambitious and major ambitious projects which did not succeed. The most prominent example is of M.D. Anderson Cancer Center had a highly ambitious project to use AI to treat certain forms of cancer which treated no patient and the project was put on hold. But has a series of projects using CognitiveScale technology which is a success and it improve patient satisfaction, operational efficiency and financial returns. 

Although AI technologies are growing a fast pace but it will definitely have an impact on jobs and skills. But there will be primary challenges faced by companies like implementation, integration, cost of development and lack of skills. There will be jobs which will be to collaborate with smart machines. Tom believes that people can overcome this future employment issue if they strategize about how AI can transform and strategize your business model or process, start with less ambitious projects, emphasize on augmentation, take skills training, put an ethical framework in place and put someone or be in charge of AI. As Geoffrey C. Bowker, Karen Baker, Florence Millerand, and David Ribes stated in “Toward Information Infrastructure Studies: Ways of Knowing in a Networked Environment” that “it is the distribution of solutions that is of concern as the object of study and as a series of elements that support infrastructure in different ways at different moments”. To end with Tom says that we should be the solution by scaling up and skill out on AI than finding potential solutions about it. 

After attending this event it made me realize that I just don’t have to learn designing of the currently available technologies but also data and technology available in the future. As Gary Marchionini stated in “Human–information interaction research and development understanding” that “proflections form and evolve and discovering ways to manage them provide exciting new challenges to the information field’. As an information professional, through this event I understood that how I should adapt to Artificial Intelligence and create employment opportunities in IXD professions.  

Reference:

G. Marchionini / Library & Information Science Research 30 (2008)

Geoffrey C. Bowker, Karen Baker, Florence Millerand, and David Ribes  / Toward Information Infrastructure Studies: Ways of Knowing in a Networked Environment ,102

Richa Kulkarni, INFO 601-02

Event : The Video gaming Industry in NYC

The Center for Communication is a nonprofit actively engaged in bringing diversity to the media industry. It is offering students a chance to explore their career options, network and collaborate with influential professionals.

Center for Communication held the event “The Video Gaming Industry in NYC” at SVA Theatre on the 23rd street in New York on 27th March ’19. The Game Industry in NYC is burgeoning with expanding studios and start-ups. This development, coupled with New York’s unmatched exposure and networking opportunities, has just about shifted the gaming industry’s stronghold from the West Coast to the ‘Big Apple’. Smartphones, tablets and computers becoming so easily accessible for all has paved the way for the video gaming industry. As of 2018, this industry is generating as much as $135 billion.

Five gaming experts represented the thriving industry at the event. They talk about how one can add to or hone their skills in order to land a career in the world of games, and also what NYC has to offer for game fanatics and developers. 

  1. KRYSTI PRYDE Brand Marketing Manager, Tilting Point
  2. TIMOTHY DOOLEN Visual Developer, Graceful Decay
  3. VONNETTA EWING Director of Talent Aquisition, Take-Two Interactive Software Inc.
  4. SUSANNA POLLACK President, Games For Change
  5. FOX CHEN Co-founder and CTO, Mokuni Games

Video games have entertained users for many years, and over time the community of patrons has only grown. Gaming has come from special gadgetry and hardwares to handy smartphones and tablets. Essentially every person who holds a smartphone/tablet has at least one game on their device, and enthusiasts go further to download softwares, even buy gaming PCs and consoles. As the game industry makes this shift, the demand for developers multiplies. Committed professionals elevate the experience of gaming to meet new levels, and young ardent fans aspire to join the craft. 

The five speakers talk about their expertise and vocation before addressing the attendees’ questions pertaining to making a career in the field.  

It is true that when the industry was at a nascent stage, its development was identified particularly on the west coast of United States. However, with expansion the studios spread their wings to reach the east coast. Prominent studios such as Playcrafting, have established themselves in New York City. This has brought recognized experts, events & exhibitions, and opportunities to town. NYC’s growing community offers programs for people starting out or transitioning from other specialities, support and networking initiatives. 

One may wonder whether the opportunities to make a career in gaming industry of NYC come all the same for locals and non-locals. According to HR professional Vonnetta, nothing is more valuable to studios than a candidate’s aptitude and qualifications. Companies are seeking talent across the globe. 

What qualifications and skills are these employers really looking for? Clearly, knowledge of coding, engineering, algebra & geometry, computing, design thinking and graphics is expected. It largely depends on the position you are applying for. Beyond these the employers value soft skills, mainly clear articulation & communication, critical thinking, ability to collaborate, attention to detail, and of course creativity & efficiency. Having said that, a strong portfolio will do the groundwork. 

A fascinating fact about the current video gaming scene is that it is no more limited to game designers and developers. The industry is welcoming professionals of other disciplines as well as transferring candidates. The 5 experts emphasise on the possibility of transferring skills and knowledge. To name a few “sought-after” roles in gaming, other than design, data analysts & scientists, finance & accounting specialists, security infrastructure designers, marketing experts, developmental psychologists & behavioral scientists are good examples. A non-traditional role that was mentioned a considerable number of times is User Experience. More so, there is need for knowledge of music, and there is casting for voice talent too. There are opportunities for people from all walks of life. 

How to grab these opportunities is not a very difficult question if you are in NYC. Keep an eye out for the unending events, meets and conferences. Immerse in the community, network and get seen. Organizations constantly come up with competitions to attract new talent. Entry level talent can also get into the industry by taking up internships. Primarily, the key is to remain up-to-date with the industry news, stay engaged and connected with sources. 

As a student of Information Experience Design, I realised a new prospect for my professional career through this event. The video gaming community is more vast and driven than I imagined. It has developed to become a leading contributor of employment opportunities for professionals of IXD among others. Furthermore, the industry has devoted itself to not only producing sources of entertainment, but also to making social change. Organizations are committed to designing for improving cognition, mental health and well being. The event has taught me to acknowledge and appreciate the game industry.

https://www.centerforcommunication.org/calendar/2019/3/27/video-gaming

References:

Marchionnini (2008). Human information interaction. Library & Information Science Research 30

The Differing Roles Of the Ux Designer https://uxmag.com/articles/the-differing-roles-of-the-ux-designerhttps://uxmag.com/articles/the-differing-roles-of-the-ux-designer

Event: Precarity and hope for digitally-disadvantaged languages (and their scripts)

Description:

On March 28, I attended the digital life seminar at Cornell Tech on Roosevelt Island. The topic was Precarity and hope for digitally-disadvantaged languages (and their scripts).

What happened at the event:

Isabelle Zaugg, the guest speaker, who was from the Institute for comparative literature and society, Columbia University, gave the audiences a brilliant speech on her topic: mass languages extinction(figure1) and her case study: what can be done to close the digital divide through an instrumental case study of Unicode inclusion and the development of supports for the Ethiopic script and its languages, including Ethiopia’s national language, Amharic.

Language extinction:

Figure 1

Mass languages extinction has been happening worldwide for a long time. In linguistics, language death occurs when a language loses its last native speaker. The extended meaning is when the language is no longer known, including second-language speakers(“language extinction”). The reasons why it happens are colonization, globalization, urbanization, oppression, and digital communication technologies(Zaugg). As we all know, knowledge can be stored in people’s mind and books or databases. However, we can retrieve important information from the books and databases more easily than from people’s mind. If we do not record the knowledge in people’s mind in time, the knowledge will all be gone eventually as the years passed. Language and scripts are the precious wealth our ancestors left us, and we must protect them from disappearing. Nowadays, people get plenty of insights from ancient books or archives to create literary works, artworks, music, even scientific inventions. Here is a very convincing example to show why we should care about the language and scripts extinction: Tu Youyou, the winner of Nobel Prize in Physiology or Medicine in 2015, is a Chinese pharmaceutical chemist and educator. She discovered artemisinin and dihydroartemisinin, used to treat malaria, a significant breakthrough in 20th-century tropical medicine, saving millions of lives around the world. The plant she found the chemical comes from, Artemisia annua L. (sweet wormwood), was used to treat fevers perhaps caused by malaria as early as the third or fourth century CE (Totelin, Laurence). Tu discovered the properties of artemisinin (qinghaosu in Chinese) after reading ancient Chinese texts from The Handbook of Prescriptions for Emergencies that dated back to 341 B.C. listing medicinal herb preparations. If the book did not survive during the thousand years, a much longer time would be needed to find the insights and exact Artemisia to treat malaria.

Case study: Ethiopic language and script

Figure 2

From Zaugg’s speech, I learned that language is a system of communication used by a particular community. A script is written characters. Languages and scripts do not always have a one-to-one relationship(Zaugg). Some scripts are gradually becoming obsolete. The invention of Unicode helps to record and save the scripts. Unicode(figure2) is a computing industry standard for the consistent encoding, representation, and handling of text expressed in most of the world’s writing system(“Unicode”).

Figure 3

In Zaugg’s case study(figure3), mixed methods have been used in the Ethiopic language and script research. The common language of Ethiopia is Amharic, with 345 letters. Its history can be traced back to the 4th century A.D. and it is one of the oldest words in the world today. Because the alphabet contains far more letters than the 26 letters in the Latin alphabet and is complex and difficult to distinguish, it is difficult to be compatible with modern science and technology communication networks. In 2004, with the participation of linguists and scientists from Ethiopia and the United States, and professors from the University of California, researchers reduced the total number of letters from 345 to 210, and then further reduce them into 28 basic alphabetic letters in Unicode. With this development, it has become possible to use Amharic to communicate in text on mobile phones, and Ethiopia’s communications have entered the 21st century rapidly.

Figure 4

Zaugg oversees Unicode and ISO subcommittee working group, interviews with Ethiopic digital pioneers and linguists, and analyzes the non-traditional content of Ethiopic script and languages choices on Facebook, Wikipedia and .et country code top-level web domain. Some recommendations are put forward to save the Ethiopic language and script(figure4): Linguists should collaborate with IT professionals. Governments should optimize the Ethiopic keyboard standard and produce products that implement a free, open-source standard. International IT companies should support language diversity as part of corporate social responsibility(Zaugg).

Reflection:

Technology can mitigate language/script extinction and help to preserve culture heritages. Thanks to technology, scientists can save scripts by converting them to Unicode and spread it through the internet. However, technology is a double-edged sword. While it is helping to preserve languages and scripts, it can harm them in a way. When we were kids, we did not have so many digital devices as the kids have now, such as phones, pads, and laptops. We wrote our research paper on actual paper. We write a lot. Nowadays, most of the keyboards have the character/word suggestion function. A lot of young kids do not need to write by hands and they sometimes do not know how to write actual words because the keyboard suggests them the correct words all the time. In some cases, new immigrants in America cannot communicate with their grandparents smoothly in their native languages. Their grandparents come from the countries which English is not their mother tongue. The young generation cannot inherit the speaking and writing ability of their own languages from their parents or grandparents, therefore, native languages cannot be passed on. The young generation will lose their identity in a way and lose a sense of community and belongingness. In the article Digital Cultural Heritage: Concepts, Projects, and Emerging Constructions of Heritage, Marija Dalbello says: “The significance is related to cultural motion and public endorsement; significance processes are the basis for cultural inventions and collectivist traditions”(1). Only when the public realizes the severity of languages extinction and the significance of cultural heritage, can the technical professionals and the society take actions together to make progress on preventing the language extinction and the loss of cultural heritage.

References:

Zaugg,Isabelle. ‘Precarity and hope for digitally-disadvantaged languages (and their scripts)’. 2019. Lecture.

Wikipedia contributors. “Language death.” Wikipedia, The Free Encyclopedia. Wikipedia, The Free Encyclopedia, 24 Mar. 2019. Web. 31 Mar. 2019.

Totelin, Laurence. “Could Ancient Textbooks Be the Source of the next Medical Breakthrough?” The Conversation, 13 Sept. 2018, theconversation.com/could-ancient-textbooks-be-the-source-of-the-next-medical-breakthrough-48612.

Wikipedia contributors. “Unicode.” Wikipedia, The Free Encyclopedia. Wikipedia, The Free Encyclopedia, 31 Mar. 2019. Web. 31 Mar. 2019.

Dalbello, Marija. (2009). “Digital Cultural Heritage: Concepts,Projects, and Emerging Constructions of Heritage.” Proceedings of the Libraries in the Digital Age (LIDA)conference, 25-30 May, 2009.

Xi Chen INFO 601-02 Assignment 3 Event

Fellows Colloquium—Tracing Objects: Translation and Transmission

The Met Fellowship Program draws leading and emerging scholars and practitioners from fields such as museology, academia, archaeology, education and scientific research. Since the program’s inception in 1951, the fellows’ research has deeply examined The Met collection and have significantly added to ongoing discourse in their fields.

This spring, current fellows present their research and explore related scholarly topics in a series of nine colloquia. I attended one of these sessions with the topic “Tracing Objects: Translation and Transmission” on 15 March 2019. The colloquia featured fellows Krisztina Ilko, Tommaso Mozzati, Max Bryant, Brian Martens, Georgios Makris, Maria Harvey and Chassica Kirchhoff.


New Evidence on the Original Materials, Former Construction, and Late Collecting History of the Patio of Vélez Blanco

Tommaso Mozzati, Andrew W. Mellon Fellow, Department of European Sculpture and Decorative Arts

Patio from the Castle of Vélez Blanco, from The Metropolitan Museum of Art, Retrieved March 21, 2019, https://www.metmuseum.org/art/collection/search/199003. Image in Public Domain.

Mozzati’s research examines the marble patio originally part of the Castillo de Vélez-Blanco, now housed in the entrance of The Met’s Thomas J. Watson Library to showcase the museum’s Italian Renaissance statues. The Patio of Vélez Blanco was built at the beginning of the sixteenth century by Pedro Fajardo y Chacón and remains a matter of conjecture today. Mozzati’s archival investigation led him to an unpublished drawing from 1805 that shows the patio’s original composition, in situ in the Spanish fortress. Reflecting on this drawing, Mozzati highlighted questions of authenticity as with little to no archival records before, the changes made over time with the movement of the patio can only be supposed. The drawing differed significantly from the patio in The Met with various additions and shifts, emphasizing the compromised state of the original and the mutability of art to fit the whims of the owner. Mozzati thus brought up the idea of ‘trans-content’ with regards to the patio’s importance in the context of early modern Spanish architecture and its new meaning and significance now that it is situated in Fifth Avenue.

In addition to archival research, Mozzati examined the provenance of the marble used in the current iteration of the patio seeking to use scientific analysis to determine the structure of the courtyard before its sale in 1904 to French dealer J. Goldberg. I found Mozzati’s research particularly interesting in his multifaceted approach in studying the history and authenticity of the patio. Mozzati lamented that the patio is now a mere reminder of the original though still prized for its sculptural and architectural value in the context of the Spanish Renaissance. It is often taken for granted the role of museums to present authenticity and truth. There is much to learn in constantly questioning the information I am presented with even with respectable organizations and institutions.


Imported Art and Design in the Early Practice of the Adam Brothers

Max Bryant, Andrew W. Mellon Postdoctoral Curatorial Fellow, Department of European Sculpture and Decorative Arts

Dining room from Lansdowne House, from The Metropolitan Museum of Art, Retrieved March 21, 2019, https://www.metmuseum.org/toah/works-of-art/32.12/.
Tapestry Room from Croome Court, from The Metropolitan Museum of Art, Retrieved March 21, 2019, https://www.metmuseum.org/toah/works-of-art/58.75.1-22/.

The Adam brothers created exemplars of design, composite period displays that were an important stage in the development of modern museum culture. Bryant studied two of their displays from late-eighteenth century London: the tapestry room from Croome Court and the dining room from Lansdowne House, now being reconstructed in The Met’s new British galleries. Period rooms afford the museum visitor a chance to experience the furnishings, objects and decor within as related to each other in time, place and style in a way that isolating them cannot. Though many such rooms were originally designed as a proof of opulence, the objects within might not be curated well but fulfilled the aesthetic requirements.

Museums now question the contemporary resonance of such period rooms, if aesthetic quality or historic quality takes greater precedence. A moral element has now emerged that raises issues of populism, imported luxury and the attachment to the past.


To Conclude,

Many of the fellows had brought up issues of the transmission and translation of art between cultures in their presentation, befitting the overarching theme of the event. Their research took in depth studies of The Met’s collection in relation to various themes, locations and histories. As such, misinformation seems a underlining hindrance to their research with either little archival resources or when the translation of art could have had more verification.

Adorno states the authentic is a judgement of value and a manichean one that pits unobjective concepts against each other and leads to constant hairsplitting (Adorno, 1973). The criteria of authenticity is not necessarily objective where the museum seems an inauthentic device trying to frame ‘real’ or ‘authentic’ objects and ideas within contexts determined by them. Museums might argue that they are the last guardians of the past, in possession of relics for the benefit of scholars to study and people to view, where their reconstruction of historical sites can now be easily marveled all under one roof.

The event has opened my eyes to various museology and art history issues that I think also apply to information science where information verification and authenticity have become large issues in the community.


References

Adorno, T.W. (1973). The jargon of authenticity. Evanston: Northwestern University Press.

Bruner, E. M. (1956). Cultural Transmission and Cultural Change. Southwestern Journal of Anthropology. 12(2): 191-199. https://doi.org/10.1086/soutjanth.12.2.3629114

Hede, A. & Thyne, M. (2010). A journey to the authentic: Museum visitors and their negotiation of the inauthentic. Journal of Marketing Management. 26(7-8), 686-705. https://doi.org/10.1080/02672571003780106

Hooper-Greenhill, E. (2000). Museums and the interpretation of visual culture. London: Routledge.


INFO 601-02 (Assignment 3 / Event Attendance) – Jamie Teo

Event NYC Data School: Can open contracting hold smart cities accountable?

The panelists (from left): Greg Jordan-Detamore (Sunlight Foundation), Katya Abazajian, (Sunlight Foundation), Paul Rothman, (NYC Mayor’s Office), Zack Brisson (Reboot)

On a Saturday in March during NYC’s Open Data Week, NYC School of Data hosted their annual community conference to “demystify the policies and practices around civic data, technology, and service design.” With my BA in Geography, experience as an AmeriCorps VISTA, and current status as a Pratt IXD student, it’s not surprising I found myself drawn to a session entitled, “Can open contracting hold smart-cities accountable?”

On the 7th anniversary of NYC passing the Open Data Law, the hour-long discussion brought together 4 panelists: Zack Brisson, Principal at Reboot; Katya Abazajian, Open Cities Director at Sunlight Foundation;  Paul Rothman, Senior Product Manager at NYC Mayor’s Office of the Chief Technology Officer and Greg Jordan-Detamore at the Sunlight Foundation.

I’ll reflect on the event in hopes to continue the conversation on transparency and accountability in government tech, particularly smart-city technologies, amidst the rising tide of surveillance capitalism.

via Vecteezy

Who builds smart cities?

Upon opening the panel, Mr. Jordan-Detamore of Sunlight Foundation explained regulating, or even discussing the regulation of, smart-cities is difficult because the term is a broad buzzword with no real definition. For the purpose of the discussion, the panelists clarified their meaning of smart-cities as “urban centers being used to collect data and then things being done with that data for some purpose.” Admittedly still pretty broad, but somewhere to start!

The panel really focused on the relationship between those who make the actual technology, and the governments who purchase them. Smart city technologies are built by private technology corporations, or vendors, like Google, but once the city begins using them, it’s often unclear who owns the resulting data. The speakers explained the reason cities purchase technology from private corporations is pretty obvious: Governments often lack the organizational infrastructure and internal expertise to build on their own (remember Seattle’s failed independent bike-share). One panelist asked, “I mean, how great would it be if your city’s government was as efficient as Amazon?”

The government-vendor relationship

Early on, the panelists underscored the imbalanced relationship between the government and corporate entities who enter into smart city technology contracts. Governments looking to procure a product “never really have the upper hand,” explained Abazajian from the Sunlight Foundation, as they don’t have the same technological expertise. The Sunlight Foundation’s Jordan-Detamore stressed that governments, especially smaller municipalities without the infrastructure of, say a Boston, are especially vulnerable of being swindled by the shininess of Silicon Valley.

While watching an episode of VICE News Tonight a week after the panel, I saw the disastrous potential of manipulative contracting in the town of Jackson, Mississippi. The manufacturing conglomerate Siemens sold 65,000 water “smart meters” to the city for $90 million dollars in 2013. Fast forward to 2019: the water meters don’t actually work and started a billing crisis that has grown into the city’s $25 million debt. About the dynamic between the city and Siemens, Jackson Mayor Chokwe Lumumba told VICE News, “It’s akin to someone selling you the most expensive car that they have on the lot, and understanding at the time that they’re selling it to you that you can’t afford to buy it; you don’t understand how to operate it, but if they can get you to purchase it, they will.”

Via piktochart

Behind closed contracts

There’s a lot of cloudiness around the ethics of smart city technologies because their contracts are, more often than not, closed. Closed contracts that limit the details to the public are the norm, and tech companies want to keep it that way. Before this panel, I (slightly embarrassingly) had no idea there was even an option of opening them.

Abazajian explains, “vendors make the argument their proprietary technologies warrant a closed contract, but in reality, they don’t need to be.” There’s a broad range of contract data that’s not sensitive, not private, and not proprietary. Lack of transparency in contracts was unanimously cited as a major issue in protecting civil liberties by the panelists.

Would an open contract have saved Jackson, Mississippi? Via CC.

Advocating for open contracts

The panelists from the Sunlight Foundation explained their new open contract initiative, which helps city governments open the process of procuring smart city technologies. On a functional level, opening a contract means giving the public access to smart-city contract data in a standardized way, so advocates and other community members can see how public money is spent.

Sunlight Foundation operates under the notion that the public should be involved in the rollout of smart city technologies from the start because they are the major stakeholders. A vendor should not be able to come in and “trample the public’s right to information,” one panelist quickly quipped. “Open contracting creates feedback loops”, explains Brisson, which “helps infuse community input into the plan.”

While watching the segment on Jackson’s water bill crisis, I couldn’t stop wondering what would have happened if the contract was public to begin with. Public outcry could have halted the overly ambitious and exploitative plan that sunk the small town into massive debt.

References:

A $90 million “smart” system has totally screwed up these residents’ water bills – VICE News. (n.d.). Retrieved March 21, 2019, from https://news.vice.com/en_us/article/vbw8qy/a-dollar90-million-smart-system-has-totally-screwed-up-these-residents-water-bills

Naughton, J. (2019, January 20). “The goal is to automate us”: welcome to the age of surveillance capitalism. The Observer. Retrieved from https://www.theguardian.com/technology/2019/jan/20/shoshana-zuboff-age-of-surveillance-capitalism-google-facebook

There Is No Such Thing as a Smart City – The Atlantic. (n.d.). Retrieved March 21, 2019, from https://www.theatlantic.com/technology/archive/2018/02/stupid-cities/553052/

Why good policies go wrong: Seattle’s botched bikeshare model | Apolitical. (n.d.). Retrieved March 21, 2019, from https://apolitical.co/solution_article/good-policies-go-wrong-seattles-botched-bikeshare-model/