“Big data” initiatives that aim to bring together and mine data from multiple databases across government and non-government agencies promise new insights into human service delivery. Specifically they aim to provide information about what services are being used, how, by whom and with what outcome. However, the process of achieving such insights poses both practical problems and ethical dilemmas. In this presentation, drawing from an extensive literature review and research with government and non-government human service organisations focussing on the design and redevelopment of electronic information systems, the most significant problems and dilemmas will be explored. It will be argued that current frameworks for ethical social work and human service practice will need to be expanded to accommodate developments in technology which have made ‘Big data’ projects possible.
Introduction to Big Data and its Potential for Dementia ResearchDavid De Roure
Presentation at Dementia Conference (Evington Initiative) held at Wellcome Trust, 22-23 October 2012. Acknowledgements to McKinsey & Company, also Tim Clark (MGH) and Iain Buchan (University of Manchester), for input to slides.
BROWN BAG TALK WITH MICAH ALTMAN INTEGRATING OPEN DATA INTO OPEN ACCESS JOURNALSMicah Altman
This talk, is part of the MIT Program on Information Science brown bag series (http://informatics.mit.edu)
This talk discusses findings from an analysis of data sharing and citation policies in Open Access journals and describes a set of novel tools for open data publication in open access journal workflows. Bring your lunch and enjoy a discussion fit for scholars, Open Access fans, and students alike.
Dr Micah Altman is Director of Research and Head/Scientist, Program on Information Science for the MIT Libraries, at the Massachusetts Institute of Technology.
Introduction to Big Data and its Potential for Dementia ResearchDavid De Roure
Presentation at Dementia Conference (Evington Initiative) held at Wellcome Trust, 22-23 October 2012. Acknowledgements to McKinsey & Company, also Tim Clark (MGH) and Iain Buchan (University of Manchester), for input to slides.
BROWN BAG TALK WITH MICAH ALTMAN INTEGRATING OPEN DATA INTO OPEN ACCESS JOURNALSMicah Altman
This talk, is part of the MIT Program on Information Science brown bag series (http://informatics.mit.edu)
This talk discusses findings from an analysis of data sharing and citation policies in Open Access journals and describes a set of novel tools for open data publication in open access journal workflows. Bring your lunch and enjoy a discussion fit for scholars, Open Access fans, and students alike.
Dr Micah Altman is Director of Research and Head/Scientist, Program on Information Science for the MIT Libraries, at the Massachusetts Institute of Technology.
INTEROPERABLE covers: -- an overview of the 3 INTEROPERABLE principles which use vocabularies for knowledge representation, standardisation and references other metadata. -- resources to support institutional awareness and uptake of Interoperable principles
Full webinar recording on YouTube: https://youtu.be/MeFl9WrtG20
Transcript: https://www.slideshare.net/AustralianNationalDataService/transcript-fair-3-iforinteroperable13917
The State of Open Data Report by @figshare.
A selection of analyses and articles about open data, curated by Figshare
Foreword by Professor Sir Nigel Shadbolt
OCTOBER 2016
From Deadly E. coli to Endangered Polar Bear: GigaScience Provides First Cita...GigaScience, BGI Hong Kong
Slides from GigaScience press-conference at BGI's Bio-IT APAC meeting on the GigaScience website launch and release of first unpublished animal genomes released from database. Genomes include polar bear, penguin, pigeon and macaque. 6th July 2011
By Sander Janssen, Research Team Leader of Earth Observation and Environmental Informatics at Alterra, Wageningen UR,
12 April 2017- 14:00 CET
--The webinar was held as part of ASIRA (Access to Scientific Information Resources in Agriculture) Online Course for Low-Income Countries--
This presentation focus on the political context of open data publishing, methodological frameworks for estimating the impacts of open data and highlight the Open Data Journal for Agricultural Research as publication channel for open data sets. It will also build on personal reflections on publishing open data from Dr. Janssen’s own research career.
For more on the topic: http://aims.fao.org/activity/blog/join-free-webinar-publishing-open-data-agricultural-research
#1 FINDABLE covers: -- an overview of the FAIR principles: their origins, Australian FAIR initiatives, what FAIR is (and what it is not) -- the 4 FINDABLE principles which underpin the discoverability of data -- resources to support institutional awareness and uptake of Findable principles to make your institutional data globally discoverable
Speakers
1) Keith Russell, ANDS, will introduce FAIR
2) Nick Thieberger, Director of Paradisec, will present how Paradisec has made their data findable via rich metadata, identifiers through Research Data Australia and disciplinary discovery portals.
YouTube : https://youtu.be/vn2pr2dGzCs
Transcript: https://www.slideshare.net/AustralianNationalDataService/transcript-1-fair-intro-into-fair-and-f-for-findable
Harnessing Edge Informatics to Accelerate Collaboration in BioPharma (Bio-IT ...Tom Plasterer
As scientists in the life sciences we are trained to pursue singular goals around a publication or a validated target or a drug submission. Our failure rates are exceedingly high especially as we move closer to patients in the attempt to collect sufficient clinical evidence to demonstrate the value of novel therapeutics. This wastes resources as well as time for patients depending upon us for the next breakthrough.
Edge Informatics is an approach to ameliorate these failures. Using both technical and social solutions together knowledge can be shared and leveraged across the drug development process. This is accomplished by making data assets discoverable, accessible, self-described, reusable and annotatable. The Open PHACTS project pioneered this approach and has provided a number of the technical and social solutions to enable Edge Informatics. A number of pre-competitive consortia and some content providers have also embraced this approach, facilitating networks of collaborators within and outside a given organization. When taken together more accurate, timely and inclusive decision-making is fostered.
Some Frameworks for Improving Analytic Operations at Your CompanyRobert Grossman
I review three frameworks for analytic operations that are designed to improve the value obtained when deploying analytic models into products, services and internal operations.
Outcomes of a social, multi-user, tablet-based game to prevent substance abus...husITa
High rates of substance abuse (SA) and relationship violence (RV) among teens suggests a need to create innovative prevention programs. Our study evaluated Choice and Consequences (C&C), a social, multi-user, tablet-based game to reduce the risks associated with SA and RV.
For 7 class periods across two weeks, 35 students played the game, selecting activities to create a fun, but safe weekend. C&C presented various scenarios, such as someone starts touching you without your consent. Players received points and rationales for each action they selected that informed them as to the fun and risk associated with the actions.
Following game playing, students (n=24) participated in three separate gender focus groups. Each focus group addressed the level of realism of the game, ability to learn from the game and aspects they liked/disliked about the game. Focus groups were audiotaped and transcribed. Transcriptions were analyzed using NVivo 9.
Results from the focus groups found that boys and girls liked the concept of the game and its activities; they especially liked the social atmosphere during the game. They liked the facts that gave information on each action and consequence. They liked rating the fun level of each action. Youth preferred the delivery method over a didactic presentation. Youth agreed that the consequences of the actions choices were realistic; a player lost points for taking drugs, but gained points for looking cool with peers. Youth stated the game could help prevent SA and RV if played before they experience the problems presented in the game in real-life. The youth stated that the RV information may be more helpful than the SA information.
Results suggest that game delivery method, using multi-media is a promising prevention program method for youth. Results also suggest gaming may be applied to other areas of prevention.
Reflective practice online: Exploring the ways social workers use social medi...husITa
Social workers are increasingly using social media for networking, peer support, reflection, and fun. Social media presents exciting opportunities for social work practice; however, social workers and employers of social workers need to understand the challenges and conflicts that can occur. This study explored the experiences of social workers who used an online blog for reflection, describing different levels of engagement with reflection and the development of an online community of practice to support isolated social workers. This study is significant because although there are many studies that describe the experiences of students using a blog for reflection, the author has been unable to identify another study that focuses on the ways social workers engaged with a blog for reflection.
INTEROPERABLE covers: -- an overview of the 3 INTEROPERABLE principles which use vocabularies for knowledge representation, standardisation and references other metadata. -- resources to support institutional awareness and uptake of Interoperable principles
Full webinar recording on YouTube: https://youtu.be/MeFl9WrtG20
Transcript: https://www.slideshare.net/AustralianNationalDataService/transcript-fair-3-iforinteroperable13917
The State of Open Data Report by @figshare.
A selection of analyses and articles about open data, curated by Figshare
Foreword by Professor Sir Nigel Shadbolt
OCTOBER 2016
From Deadly E. coli to Endangered Polar Bear: GigaScience Provides First Cita...GigaScience, BGI Hong Kong
Slides from GigaScience press-conference at BGI's Bio-IT APAC meeting on the GigaScience website launch and release of first unpublished animal genomes released from database. Genomes include polar bear, penguin, pigeon and macaque. 6th July 2011
By Sander Janssen, Research Team Leader of Earth Observation and Environmental Informatics at Alterra, Wageningen UR,
12 April 2017- 14:00 CET
--The webinar was held as part of ASIRA (Access to Scientific Information Resources in Agriculture) Online Course for Low-Income Countries--
This presentation focus on the political context of open data publishing, methodological frameworks for estimating the impacts of open data and highlight the Open Data Journal for Agricultural Research as publication channel for open data sets. It will also build on personal reflections on publishing open data from Dr. Janssen’s own research career.
For more on the topic: http://aims.fao.org/activity/blog/join-free-webinar-publishing-open-data-agricultural-research
#1 FINDABLE covers: -- an overview of the FAIR principles: their origins, Australian FAIR initiatives, what FAIR is (and what it is not) -- the 4 FINDABLE principles which underpin the discoverability of data -- resources to support institutional awareness and uptake of Findable principles to make your institutional data globally discoverable
Speakers
1) Keith Russell, ANDS, will introduce FAIR
2) Nick Thieberger, Director of Paradisec, will present how Paradisec has made their data findable via rich metadata, identifiers through Research Data Australia and disciplinary discovery portals.
YouTube : https://youtu.be/vn2pr2dGzCs
Transcript: https://www.slideshare.net/AustralianNationalDataService/transcript-1-fair-intro-into-fair-and-f-for-findable
Harnessing Edge Informatics to Accelerate Collaboration in BioPharma (Bio-IT ...Tom Plasterer
As scientists in the life sciences we are trained to pursue singular goals around a publication or a validated target or a drug submission. Our failure rates are exceedingly high especially as we move closer to patients in the attempt to collect sufficient clinical evidence to demonstrate the value of novel therapeutics. This wastes resources as well as time for patients depending upon us for the next breakthrough.
Edge Informatics is an approach to ameliorate these failures. Using both technical and social solutions together knowledge can be shared and leveraged across the drug development process. This is accomplished by making data assets discoverable, accessible, self-described, reusable and annotatable. The Open PHACTS project pioneered this approach and has provided a number of the technical and social solutions to enable Edge Informatics. A number of pre-competitive consortia and some content providers have also embraced this approach, facilitating networks of collaborators within and outside a given organization. When taken together more accurate, timely and inclusive decision-making is fostered.
Some Frameworks for Improving Analytic Operations at Your CompanyRobert Grossman
I review three frameworks for analytic operations that are designed to improve the value obtained when deploying analytic models into products, services and internal operations.
Outcomes of a social, multi-user, tablet-based game to prevent substance abus...husITa
High rates of substance abuse (SA) and relationship violence (RV) among teens suggests a need to create innovative prevention programs. Our study evaluated Choice and Consequences (C&C), a social, multi-user, tablet-based game to reduce the risks associated with SA and RV.
For 7 class periods across two weeks, 35 students played the game, selecting activities to create a fun, but safe weekend. C&C presented various scenarios, such as someone starts touching you without your consent. Players received points and rationales for each action they selected that informed them as to the fun and risk associated with the actions.
Following game playing, students (n=24) participated in three separate gender focus groups. Each focus group addressed the level of realism of the game, ability to learn from the game and aspects they liked/disliked about the game. Focus groups were audiotaped and transcribed. Transcriptions were analyzed using NVivo 9.
Results from the focus groups found that boys and girls liked the concept of the game and its activities; they especially liked the social atmosphere during the game. They liked the facts that gave information on each action and consequence. They liked rating the fun level of each action. Youth preferred the delivery method over a didactic presentation. Youth agreed that the consequences of the actions choices were realistic; a player lost points for taking drugs, but gained points for looking cool with peers. Youth stated the game could help prevent SA and RV if played before they experience the problems presented in the game in real-life. The youth stated that the RV information may be more helpful than the SA information.
Results suggest that game delivery method, using multi-media is a promising prevention program method for youth. Results also suggest gaming may be applied to other areas of prevention.
Reflective practice online: Exploring the ways social workers use social medi...husITa
Social workers are increasingly using social media for networking, peer support, reflection, and fun. Social media presents exciting opportunities for social work practice; however, social workers and employers of social workers need to understand the challenges and conflicts that can occur. This study explored the experiences of social workers who used an online blog for reflection, describing different levels of engagement with reflection and the development of an online community of practice to support isolated social workers. This study is significant because although there are many studies that describe the experiences of students using a blog for reflection, the author has been unable to identify another study that focuses on the ways social workers engaged with a blog for reflection.
Working in the cloud: Making personal records for children in care accessible.husITa
Many adults who have experienced out-of-home care speak eloquently about their sadness at having few, if any, mementoes of their childhoods, and how important these are for having a sense of who they are. The photos, memorabilia, family stories and other memories marking the passage through childhood are easily lost or buried because they are not part of the official record.
Rather than requiring an already overburdened workforce to add extra records management tasks to their administrative load, the aim of the Working in the Cloud project is to develop the template for a ‘virtual locker’ or storage space for digital copies of the personal documents of children in care. This ‘virtual locker’ would store both digital copies of the personal documents of children in care and a location index for physical items such as the original birth certificate. An interdisciplinary team comprising social workers, ICT researchers, digital archivists and programmers and an ethicist worked together to pilot with young people and their workers this new digital repository.
The presentation will be based on a research scoping study undertaken with young people in out of home care or who have recently left care about their use of technology, their attitudes and approach to their personal records. Young people worked as expert consultants alongside researchers to design a ‘virtual locker’ which stores information that is relevant to children in care, in an easily accessible format for all users – children in care, and their workers and carers. The security of the personal information held is also paramount and is a significant feature of the research.
This presentation is an opportunity to report on work in progress and to stimulate discussion of these issues with others in the out-of-home care sector or interested in records.
Implementing the Global Agenda: Use of the internet to facilitate information...husITa
The Global Agenda for Social Work and Social Development is a well-established document with widespread recognition across the world. Its implementation in promoting social work and social development is, however, less obvious. Directions provided by the Global Implementation Taskforce involve establishing “Observatories” in different regions to connect data and prepare reports, which can be made accessible through conference presentations, publications and web sites of the various associations and organizations involved. Lacking in this approach are opportunities for many practitioners, educators, and other stakeholders to engage actively in implementing the Global Agenda. We will demonstrate a user-driven, web-based system aimed at supporting implementation of the Global Agenda by facilitating information exchange, networking and collaboration, among educators, practitioners, and other individuals and groups who share the vision of the Global Agenda within Canada. The web site will accomplish the following:
Enable users to add and update their information directly on the website. In addition to providing descriptions of their activities and projects, users will be able to upload documents, videos and audio files
Create a searchable database on the website – one that enables viewers to find out who is doing what in relation to the Global Agenda
Allow users to interact and share information about their activities
Facilitate collaboration and coalition building in relation to the priorities of the Agenda
We believe this technology will also help site users identify innovative and successful initiatives that may be used to further education and practice in promoting social and economic equalities along with the other priorities of the Global Agenda.
Investigating the role of an enhanced textbook: Using the principles of human...husITa
The role of the social worker is evolving, and social workers will need to adjust to the changes in social work practice in the technology age. In addition to the pressures of becoming technologically proficient, social workers will be required to absorb an increasing body of knowledge in order to remain informed supervisors.
Given these pressures and the current modalities for educating social workers, mobile learning should be explored as a solution for training social workers. The environment, physical device and operation, and content and design are integral aspects of mobile technology affecting the successful application of knowledge. This presentation summarizes a qualitative study of whether having a mobile device embedded with practice-based information developed as an enhanced textbook will make it easier for social worker learners to retrieve and retain information.
The study included a triangulation approach using grounded theory, user-centered research, and innovation diffusion theory. The grounded theory phase sought to understand how social workers are currently learning and retrieving information. The data collection methods included 25 face-to-face, in-depth interviews with field instructors. The second phase of the study developed an enhanced textbook based upon the grounded theory analysis, human-centered design principles, and cognitive psychology concepts. The field instructors’ suggestions and feedback from the data were built into the interface and design of the enhanced textbook. In the final phase of the study, innovation diffusion theory was used, and the subjects were asked if there was a benefit from the innovation.
The results provided information on how to create an enhanced textbook and how to evaluate the outcome. In the current technology environment, applied research is often used for developing new products, due to the potential for immediate results. These results illuminate the value of using evaluative research when implementing a new technology.
Considering the nonhuman: Actor-network theory and human service technology r...husITa
Actor-network theory (ANT) is a material semiotic analytical framework developed during the 1980s in the field of science and technology studies (STS). It is a constructivist perspective and can be considered a form of sociotechnical systems theory, but with a radical difference: it assumes that sociotechnical systems are heterogeneous networks enacted in webs of relations between human and nonhuman actors. From this point of view the social and material worlds, nature and culture, people and technology are deeply entangled. Since its origins in STS, ANT has disseminated widely and its concepts and sensibilities have informed studies of information systems in health informatics, education and beyond. It has also been used in environmental studies, human geography, sustainable technology, agriculture and architecture. Indeed ANT is capable of contributing to any disciplinary domain where the relationship between humans and the material world is germane. Yet, with a few notable exceptions, ANT has seldom caught the attention of researchers in the field of human service technology. This paper will discuss the distinctive characteristics of ANT, explore its methodological implications, and consider the contribution it might make to research enquiries in the field of human service technology.
A technology-based model for sustaining the elderly: Addressing rising servic...husITa
The aging of civilization in the developed countries, and many developing countries, that are considered technically advanced, is well underway. Some developed countries, such as the United States, are beginning to realize the need to create alternative and innovative methods of caring for, and maintaining, the functioning and health needs of the elderly, in the absence of sufficient numbers of younger indigenous caretakers, within these aged population countries. The need to import and train sufficient labor, including social work practitioners, to operate existing social institutions and care for the aging is creating a number of general social problems
According to (International Wealth Solutions, 2008) the world population, of above age 65 years, was expected to increase from 6.9% in the year 2000 to 19.3% by the year 2050. However, population growth is expected to slow with decreases in fertility rates. The already large aging population in the United States, estimated at 12.3% in the year 2000, will be increasing to 21.1% and peaking earlier by the year 2035. As a result, there may be insufficient numbers of available laborers to service either the needs of the elderly, or in some cases, society as a whole.
Emerging technologies show promise of bridging the service needs gap created by these demographic challenges. These include medical sensor technologies designed to improve independent living options (Smith, 2008), integrated sensor design platforms, and the combining of environmental health and activity monitoring systems (Mazzù, Scalvini, Giordano, Frumento, Wells, Lokhorst, & Glisenti, 2008), and the proposed the fusion of a radio frequency identification (RFID) tag (Niemeijer, Alistair; Hertogh & Cees, 2008) which could be coupled with an infra-red system (Professional Engineering, 2004) and acoustic systems to provide more effective monitoring (Istrate, Vacher, Serignat, Besacier & Castelli 2006), and information and communication (ICT) technologies,
Influence, inspiration, and interaction on the Internet: Emotion work online ...husITa
U.S. activists in the anti-human trafficking movement say two of the biggest obstacles to recruitment are, first, that people are unaware of the prevalence of domestic trafficking, and, second, that people are often overwhelmed by the enormity of the problem. As such, activists consciously design awareness and education programs to combat feelings of complacency and impotence. This paper uses interview data with activists to analyze how emotion work is done online, including using statistics to generate moral shock and telling survivor stories to demonstrate efficacy. Furthermore, the web, especially social media, facilitates global interactions between activists, state actors, and end users that foster good will and encourage collaborations. A positive unintended emotional consequence of such interactions is that activists combating in the field draw encouragement and motivation from their stateside supporters.
Authentic learning, emerging technologies and graduate attributes: Experience...husITa
Internationally, there has been increasing concern by educators regarding developing graduate attributes such as critical scholarship, citizenship and lifelong learning to prepare students as agents of social good dealing with the complexity and uncertainty of the twenty-first century (Barnett, 2004). Conventionally, universities have used constructive alignment (Biggs, 2012) as a means of embedding graduate attributes such as the development of critical and reflective skills into the curriculum. However, the possibility of applying the nine principles of authentic learning (Herrington, Reeves, & Oliver, 2010) within the social work curriculum to facilitate the development of graduate attributes, has not been fully explored in the higher education or social work (SW) education literature. This paper addresses this gap in the literature by examining how the use of authentic learning principles by social work educators could lead to desired graduate attributes for students. In investigating the potential that authentic learning may have for developing graduate attributes SW education, this paper draws on in-depth interviews about authentic learning which were conducted with five South African SW educators from three differently placed higher education institutions. These interviews were part of a larger national study, which investigated the role that emerging technologies (ET) >Veletsianos, 2011) can play in improving teaching and learning in higher education. The transcripts of the interviews were analysed by the authors to establish whether or not authentic learning principles identified by Herrington et al. (2010) and ETs have the potential to develop desired graduate attributes in students. The findings revealed not all nine elements of authentic learning and ET existed in the case studies.
BROWN BAG TALK WITH MICAH ALTMAN, SOURCES OF BIG DATA FOR SOCIAL SCIENCESMicah Altman
This talk, is part of the MIT Program on Information Science brown bag series (http://informatics.mit.edu)
This talk reviews emerging big data sources for social scientific analysis and explores the challenges these present. Many of these sources pose distinct challenges for acquisition, processing, analysis, inference, sharing, and preservation.
Dr Micah Altman is Director of Research and Head/Scientist, Program on Information Science for the MIT Libraries, at the Massachusetts Institute of Technology. Dr. Altman is also a Non-Resident Senior Fellow at The Brookings Institution. Prior to arriving at MIT, Dr. Altman served at Harvard University for fifteen years as the Associate Director of the Harvard-MIT Data Center, Archival Director of the Henry A. Murray Archive, and Senior Research Scientist in the Institute for Quantitative Social Sciences.
Dr. Altman conducts research in social science, information science and research methods -- focusing on the intersections of information, technology, privacy, and politics; and on the dissemination, preservation, reliability and governance of scientific knowledge.
Data Driven Societies
Digital & Computational Studies
Bowdoin College
February 10, 2014
Professors Gieseking & Gaze
Lecture Slides "Defining Data & Redefining Privacy"
Slide 2: Etymology: The etymology of the term ‘Big Data’ can be traced back to the mid-1990s, when it was first used by John Mashey to refer to handling and analysis of massive datasets. However, by 2013, ‘Big Data’ was already being declared obsolescent as a meaningful term by some, as it was too wide ranging and vague in definition (e.g. de Goes, 2013).
Side 6: Vagaries: Kitchin argues that it is velocity and these additional key characteristics that set Big Data apart and make them a “disruptive innovation – one that radically changes the nature of data and what can be done with them” (Kitchin, 2014). However, there is no one characteristic profile that all Big Data fit and they can take multiple forms.
Slide 8: Ethics: Several ethical questions have been raised about the scope of data being generated and retained; such as those concerning privacy, informed consent, and protection from harm.
These questions raise wider issues about what kinds of data should be combined and analysed, and the purposes to which the resulting information should be put.
Slide 9: Inequalities: Challenges of inequality have also been posed:
Whose data traces will be analysed? It is likely that only those who are better off will be represented (as they are more likely to use social media, etc.)
Access and use of open data is unlikely to be equally available to everyone due to existing structural inequalities (Eynon, 2013)
Slide 11: What do Big Data actually tell us? Eynon (2013) argues that Big Data is concerned with capturing and examining patterns, and tells us more about what people actually do than about what they say they do. However, this is not sufficient for all kinds of social science research. We need to understand the meanings of behaviours which cannot be inferred simply from tracking specific patterns.
In order that Big Data are used appropriately, we need to ensure understanding of what kinds of research can or cannot be carried out using them. Big Data should not be seen as [a] “technical fix” for research, but should be used to empower, support and facilitate practice and critical research.
June 2015 (142) MIS Quarterly Executive 67The Big Dat.docxcroysierkathey
June 2015 (14:2) | MIS Quarterly Executive 67
The Big Data Industry1 2
Big Data receives a lot of press and attention—and rightly so. Big Data, the combination of
greater size and complexity of data with advanced analytics,3 has been effective in improving
national security, making marketing more effective, reducing credit risk, improving medical
research and facilitating urban planning. In leveraging easily observable characteristics and
events, Big Data combines information from diverse sources in new ways to create knowledge,
make better predictions or tailor services. Governments serve their citizens better, hospitals
are safer, firms extend credit to those previously excluded from the market, law enforcers catch
more criminals and nations are safer.
Yet Big Data (also known in academic circles as “data analytics”) has also been criticized as a
breach of privacy, as potentially discriminatory, as distorting the power relationship and as just
“creepy.”4 In generating large, complex data sets and using new predictions and generalizations,
firms making use of Big Data have targeted individuals for products they did not know they
needed, ignored citizens when repairing streets, informed friends and family that someone
is pregnant or engaged, and charged consumers more based on their computer type. Table 1
summarizes examples of the beneficial and questionable uses of Big Data and illustrates the
1 Dorothy Leidner is the accepting senior editor for this article.
2 This work has been funded by National Science Foundation Grant #1311823 supporting a three-year study of privacy online. I
wish to thank the participants at the American Statistical Association annual meeting (2014), American Association of Public Opin-
ion Researchers (2014) and the Philosophy of Management conference (2014), as well as Mary Culnan, Chris Hoofnagle and Katie
Shilton for their thoughtful comments on an earlier version of this article.
3 Both the size of the data set, due to the volume, variety and velocity of the data, as well as the advanced analytics, combine to
create Big Data. Key to definitions of Big Data are that the amount of data and the software used to analyze it have changed and
combine to support new insights and new uses. See also Ohm, P. “Fourth Amendment in a World without Privacy,” Mississippi.
Law Journal (81), 2011, pp. 1309-1356; Boyd, D. and Crawford, K. “Critical Questions for Big Data: Provocations for a Cultural,
Technological, and Scholarly Phenomenon,” Information, Communication & Society (15:5), 2012, pp. 662-679; Rubinstein, I. S.
“Big Data: The End of Privacy or a New Beginning?,” International Data Privacy Law (3:2), 2012, pp. 74-87; and Hartzog, W. and
Selinger, E. “Big Data in Small Hands,” Stanford Law Review Online (66), 2013, pp. 81-87.
4 Ur, B. et al. “Smart, Useful, Scary, Creepy: Perceptions of Online Behavioral Advertising,” presented at the Symposium On
Usable Privacy and Security, July 11-13, 2 ...
ITS 632 – Introduction to Data MiningBig data and data mining .docxjesssueann
ITS 632 – Introduction to Data Mining
Big data and data mining go hand in hand. According to Wu et al. (2013),
“Big Data concern large-volume, complex, growing data sets with multiple, autonomous sources.
With the fast development of networking, data storage, and the data collection capacity, Big Data
are now rapidly expanding in all science and engineering domains, including physical, biological
and biomedical sciences.“
And according to Fan and Bifet (2012),
“Big Data is a new term used to identify datasets that we can not manage with current methodologies
or data mining software tools due to their large size and complexity. Big Data mining is
the capability of extracting useful information from these large datasets or streams of data. New
mining techniques are necessary due to the volume, variability, and velocity, of such data. The
Big Data challenge is becoming one of the most exciting opportunities for the years to come.”
For your term paper, you are required to pick one industry or field and discuss how big data, data
mining, business data analytics, business intelligence are applied in this industry or field. You are asked to discuss the current status, and future trend.
Follow the rules below.
• Be 1500 to 2000 words in length, not including the cover and references pages.
• Your paper should include at least an introduction, a body, and a conclusion.
• Be clearly and well written using excellent grammar and style techniques. Be concise
and logical. You are being graded, in part, on the quality of your writing.
• Be supported with at least five peer-reviewed, and scholarly references. You may
also include references from credible sources in print and from the Internet.
...
Social media data is a rich source of behavioural data that can reveal how we connect and interact with each other online in real time and over time, and what that might mean for our society as we continue to speed towards an increasingly computer-mediated future. However, much of the data being collected are being used in ways that are not always transparent to the users. Also once collected, the data can be combined with other types of data and analyzed by algorithms to reveal even more sensitive information about the users. As a result, questions around why and how data consumers’ use social media data are becoming pertinent, especially in the aftermath of the Facebook’s Cambridge Analytica scandal. This talk will discuss privacy and ethical implications of working with social media data.
Data Management and Broader Impacts: a holistic approachMegan O'Donnell
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The National Science Foundation’s (NSF) Broader Impacts Criterion asks scientists to frame their research beyond “science for science’s sake.” Examining data and data management through a Broader Impacts lens highlights the benefits of good data management, data management plans (DMPs), and strengthens the argument for better Data Information Literacy (DIL) in the sciences.
Big data is prevalent in our daily life. Not surprisingly, big data becomes a hot topic discussedby commercial worlds, media, magazines, general publics and elsewhere. From academic point of view, isit a research area of potential worth being explored? Or it is just another hype? Are there only computer orIS related scholars suitable for big data research due to its nature? Or scholars from other research areas are alsosuitable for this subject? This study aims to answer these questions through the use of informetricsapproach and data source form the SSCI Journal database, leveraging informetric‟s robust natures ofquantitative power of analyze information in any form onto the data source of representativeness. This research shows that big data research is at its growth phase with an exponential growth patternsince 2012 and with great potential for years to come. And perhaps surprisingly, computer or IS relateddisciplinesare not on the top 5 research areas fromthis research results. In fact, the top five research disciplinesare more diversified then expected: business economics (#1), Government Law (#2), InformationScience/ Library Science (#3), Social Science (#4) and Computer Science (#5). Scholars from the USuniversities are the most productive in this subject while Asian countries, including Taiwan, are alsovisible. Besides, this study also identifies that big data publications from SSCI journal database during2005-2015 do fit Lotka‟s law. This study contributes tounderstand the current big data research trends and also show the ways toresearchers who are interested to conduct future research in big data regardless of their research backgrounds.
In August 2013, a multidisciplinary group gathered at the Rockefeller Foundation’s Bellagio Center to address the theme of “Community Resilience Through big data and Technology.” Creative and critical thinkers were selected from the technology sector, academia, the arts, humanitarian and ecological spheres. Over ten days, we explored how data could be used to help build community resilience in the face of a range of stresses — environmental, political, social and economic. Large data collection and analysis may support communities by providing them with timely feedback loops on their immediate environment. However, the collection and use of data can also create new vulnerabilities and risks, by enabling discriminating against individuals, skewing evidence, and creating dependencies on centralized infrastructure that may increase a system’s vulnerability. After analyzing these risks and opportunities, we developed a framework to help guide the effective use of data for building community-driven resilience. In this framework, we propose six domains: ethics, governance, science, technology, place and sociocultural context. We believe that by considering all six domains together, organizations can safeguard against predictable failures by exposing project weaknesses from the outset rather than in hindsight.
Multi-cluster Kubernetes Networking- Patterns, Projects and GuidelinesSanjeev Rampal
Talk presented at Kubernetes Community Day, New York, May 2024.
Technical summary of Multi-Cluster Kubernetes Networking architectures with focus on 4 key topics.
1) Key patterns for Multi-cluster architectures
2) Architectural comparison of several OSS/ CNCF projects to address these patterns
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4) Some design recommendations & guidelines for adopting/ deploying these solutions.
1.Wireless Communication System_Wireless communication is a broad term that i...JeyaPerumal1
Wireless communication involves the transmission of information over a distance without the help of wires, cables or any other forms of electrical conductors.
Wireless communication is a broad term that incorporates all procedures and forms of connecting and communicating between two or more devices using a wireless signal through wireless communication technologies and devices.
Features of Wireless Communication
The evolution of wireless technology has brought many advancements with its effective features.
The transmitted distance can be anywhere between a few meters (for example, a television's remote control) and thousands of kilometers (for example, radio communication).
Wireless communication can be used for cellular telephony, wireless access to the internet, wireless home networking, and so on.
ER(Entity Relationship) Diagram for online shopping - TAEHimani415946
https://bit.ly/3KACoyV
The ER diagram for the project is the foundation for the building of the database of the project. The properties, datatypes, and attributes are defined by the ER diagram.
This 7-second Brain Wave Ritual Attracts Money To You.!nirahealhty
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“Big data” in human services organisations: Practical problems and ethical dilemmas.
1. “Big data” in human services
organisations: practical
problems and ethical dilemmas
Dr Philip Gillingham and Mr Timothy Graham
University of Queensland
2. Defining Big Data
Size of datasets.
Complexity or structure of datasets.
Tools used to analyse them.
Aim is to discover new patterns within datasets and new associations
between variables – targeting services, evidence informed practice.
3. Purpose of presentation
• Hot topic
• Longer history in health (health
informatics)
• Starting to be used in social work
(social informatics)
• Those involved dealing with the
challenges
• Should be debated more widely
• Limited selection
Google Trends – popularity of search term “big data” over time.
4. Big Data – Practical problems (1)
Sampling
• Big Data means bigger samples……n=all?
• Data integrity. Incomplete case files.
• Subjective interpretations of the social world.
5. Big Data – Practical problems (2)
Data extraction
• ‘Wrangling’ – preparation of data for
analysis.
• Series of decisions about what to include
and exclude.
6. Big Data – Practical problems (3)
Data analysis
• algorithms constructed by people.
• Political decisions about what a 'social
problem’ is.
• Big Data, despite claims of objectivity,
not immune.
Wizard of Oz – “the man behind the curtain”.
7. Big Data – Practical problems (4)
Data interpretation
• Apophenia – patterns or associations where none exist
• De-individualisation – group traits assigned to individuals to predict
behaviour
8. Big Data – Practical problems (4)
Data interpretation
• Lack of explanation – patterns don't explain why a social problem
exists
• Numbers speak for themselves?
9. Big Data – ethical problems (1)
• Consent
• Secondary use of data
10. Big Data – ethical problems (2)
• Privacy – individuals identifiable through
level of detail
• Who owns the data? Agency,
researchers, service user?
11. Finally
• A full article is under review, stay in touch if interested.
p.gillingham@uq.edu.au
12. Selected References
Bollier, D. (2010) The Promise and Peril of Big Data. Accessed 17 Feb 2014 at:
http://www.aspeninstitute.org/sites/default/files/content/docs/pubs/The_Promise_and_Peril_of_
Big_Data.pdf
boyd, d. and Crawford, K. (2012) Critical questions for Big Data: Provocations for a cultural,
technological and scholarly phenomenon. Information, Communication and Society, 15(5), pp. 662-
679.
Crawford, K. (2013) The hidden biases in Big Data. Harvard Business Review (HBR) Blog Network (1
April). Accessed 29 November 2013 at http://blogs.hbr.org/2013/04/the-hidden-biases-in-big-
data/
Desrosières, A. (2002) The politics of large numbers. Translation by C. Naish. Harvard University
Press.
Foster, V. and Young, A. (2012) The use of routinely collected patient data for research: a critical
review. Health, 16, pp. 448-463.
Gutierrez, D. (2014) The unsexy part of data science: data munging. Accessed 17 Feb 2014 at
http://inside-bigdata.com/2013/11/15/unsexy-part-data-science-data-munging/
13. Selected References - continued
Henman, P. (2005). E-government, targeting and data profiling: policy and ethical issues of
differential treatment. Journal of E-Government, 2(1), pp.79-98.
Keen, J. , Calinescu, R. , Paige, R. and Rooksby, J. (2013) Big Data + Politics = Open Data: the case of
health care data in England. Policy and Internet, 5(2), pp. 228-242.
Naccarato, T. (2010) Child welfare informatics: a proposed subspeciality for social work. Children and
Youth Services Review, 32, pp. 1729-1734.
Nguyen, L. H. (2007) Child welfare informatics: a new definition for an established practice. Social
Work, 52(4), pp. 361-363.
Parker-Oliver, D. and Demiris, G. (2006) Social work informatics: a new speciality. Social Work, 51(2),
pp. 127-134.
Varian, H. R. (2013) Big Data: new tricks for econometrics.
http://people.ischool.berkeley.edu/~hal/Papers/2013/ml.pdf
Ward, J. S., and Barker, A. (2013). Undefined by data: A survey of big data definitions. The Computer
Research Repository. http://dblp.uni-trier.de/db/journals/corr/corr1309.html#WardB13a
Philip Gillingham and Tim Graham, University of Queensland 13