How Fair Is IS Research?

While both information systems and machine learning are not neutral, the identification of discrimination is more difficult if a system learns from data and discrimination can be introduced at several stages. Therefore, this article investigates if IS Research has taken up with this topic. A literature analysis is conducted and its discussion shows that technology, organization, and human aspects have to be considered, making it a topic not only for data scientist or computer scientist, but for information systems researchers as well

Visualization in cyber-geography: reconsidering cartography's concept of visualization in current usercentric cybergeographic cosmologies

This article discusses some epistemological problems of a semiotic and cybernetic character in two current scientific cosmologies in the study of geographic information systems (GIS) with special reference to the concept of visualization in modern cartography. Setting off from Michael Batty’s prolegomena for a virtual geography and Michael Goodchild’s “Human-Computer-Reality-Interaction” as the field of a new media convergence and networking of GIS-computation of geo-data, the paper outlines preliminarily a common field of study, namely that of cybernetic geography, or just “cyber-geography) owing to the principal similarities with second order cybernetics. Relating these geographical cosmologies to some of Science’s dominant, historical perceptions of the exploring and appropriating of Nature as an “inventory of knowledge”, the article seeks to identify some basic ontological and epistemological dimensions of cybernetic geography and visualization in modern cartography. The points made is that a generalized notion of visualization understood as the use of maps, or more precisely as cybergeographic GIS-thinking seems necessary as an epistemological as well as a methodological prerequisite to scientific knowledge in cybergeography. Moreover do these generalized concept seem to lead to a displacement of the positions traditionally held by the scientist and lay-man citizen, that is not only in respect of the perception of the matter studied, i.e. the field of geography, but also of the manner in which the scientist informs the lay-man citizen in the course of action in the public participation in decision making; a displacement that seems to lead to a more critical, or perhaps even quasi-scientific approach as concerns the lay-man user

Data types

A Mathematical interpretation is given to the notion of a data type. The main novelty is in the generality of the mathematical treatment which allows procedural data types and circularly defined data types. What is meant by data type is pretty close to what any computer scientist would understand by this term or by data structure, type, mode, cluster, class. The mathematical treatment is the conjunction of the ideas of D. Scott on the solution of domain equations (Scott (71), (72) and (76)) and the initiality property noticed by the ADJ group (ADJ (75), ADJ (77)). The present work adds operations to the data types proposed by Scott and generalizes the data types of ADJ to procedural types and arbitrary circular type definitions. The advantages of a mathematical interpretation of data types are those of mathematical semantics in general : throwing light on some ill-understood constructs in high-level programming languages, easing the task of writing correct programs and making possible proofs of correctness for programs or implementations"

Democratisation of Usable Machine Learning in Computer Vision

Many industries are now investing heavily in data science and automation to replace manual tasks and/or to help with decision making, especially in the realm of leveraging computer vision to automate many monitoring, inspection, and surveillance tasks. This has resulted in the emergence of the 'data scientist' who is conversant in statistical thinking, machine learning (ML), computer vision, and computer programming. However, as ML becomes more accessible to the general public and more aspects of ML become automated, applications leveraging computer vision are increasingly being created by non-experts with less opportunity for regulatory oversight. This points to the overall need for more educated responsibility for these lay-users of usable ML tools in order to mitigate potentially unethical ramifications. In this paper, we undertake a SWOT analysis to study the strengths, weaknesses, opportunities, and threats of building usable ML tools for mass adoption for important areas leveraging ML such as computer vision. The paper proposes a set of data science literacy criteria for educating and supporting lay-users in the responsible development and deployment of ML applications.Comment: 4 page

From physics to synthetic biology & entrepreneurship

After nearly 10 years in academic physics departments, the transition into a postdoc in a top synthetic biology lab was a rough landing. Four years later, I left the academic world for a position in industrial biotechnology as a scientist at LS9, a startup focused on engineering bacteria to make biofuels and commodity chemicals. Then, three years ago, I left LS9 to co-found a startup called Industrial Microbes, where we are engineering the central metabolism of microorganisms to enable them to use natural gas as a raw material for chemical production. As the toolkit of synthetic biology has expanded, the skills needed to succeed as a scientist in industrial biotechnology now include more than just molecular biology, analytical chemistry, and microbial physiology; more than ever before, a familiarity with computer programming, statistical methods, robotics, and a wider range of strain engineering techniques, is a critical factor. Most of all, new graduates need to learn how teamwork in an industrial setting is different than in an academic lab. In my talk, I\u27ll discuss what I\u27ve learned from my experience in synthetic biology, what it takes to get a startup off the ground and what lessons I\u27ve gathered in making these career transitions

Sistem Pemilihan Lokasi Tower Bts (Base Tranciever Station) Menggunakan Metode Weighted Product (WP)

Tower is a tower made of a series of iron or pipes with either a rectangular or triangular shape. In the early 1970s, scientist Michael S. Scott Morton introduced the concept of a decision support system with the term Management Decision System (Tampubolon, 2010). The purpose of this computer-based system is to assist decision making without eliminating the decision maker who utilizes existing data and models. The weighted product (WP) method was chosen in this open study because this method has the concept of improving weight in each of its criteria. This research will implement the weighted product (WP) method in the tower construction site selection system so that the location chosen for the construction of a BTS tower (Base Transcever Station) is more precise and in accordance with predetermined criteria, and so that the data reporting process and location information for development tower be fast

Communications and Group Decision-Making : Experimental Evidence on the Potential Impact of Computer Conferenging

This paper is a selective review of small group experiments in the area of the relationship between communication (modes, structures, processes) and group decision-making or problem solving. There are literally hundreds of these experiments; the purpose of this effort has been to isolate and summarize the results of those experimental traditions which may have the most bearing upon: our understanding of the probable social effects of computer conferencing as a communication mode; the identification of possible experiments utilizing computer conferencing which appear to be potentially most fruitful in terms of evaluating the strengths and weaknesses of computer conferencing in facilitating or inhibiting group decision-making processes; determining the potential for gaining further insight into the nature of human communications processes by employing computerized conferencing as a communications tool; understanding the characteristics and capabilities of conferencing software which would be necessary in order for a non-programmer social scientist to carry out such experimentation. For those who are not familiar with computerized conferencing as a communications medium, the paper begins with a brief overview of its nature and social characteristics. It then proceeds to review several classes of experiments on communications and group problem solving, and to deduce the implications of their findings for group decision making using communication via computerized conferencing. A section on the desirable characteristics of software and monitoring systems in order to facilitate similar controlled experiments utilizing computer conferencing follows. Finally, the conclusions which flow from the literature review are presented in the form of a summary of potentially fruitful experiments and an inventory of hypotheses. I am indebted to the other members of the NJIT research team for many excellent suggestions, and particularly to Murry Turoff, the Principal Investigator for the project, who made extensive, constructive criticisms of earlier drafts. Peter Anderson coauthored the chapter on software requirements. I would also like to thank Alphonse Chapanis of Johns Hopkins and Andrew Van deVen of Kent State for their cooperation. Finally, I would like to thank Daisy Lane of N.J.I.T. for a job well done in deciphering my handwriting and typing the manuscript

Semantic Description, Publication and Discovery of Workflows in myGrid

The bioinformatics scientific process relies on in silico experiments, which are experiments executed in full in a computational environment. Scientists wish to encode the designs of these experiments as workflows because they provide minimal, declarative descriptions of the designs, overcoming many barriers to the sharing and re-use of these designs between scientists and enable the use of the most appropriate services available at any one time. We anticipate that the number of workflows will increase quickly as more scientists begin to make use of existing workflow construction tools to express their experiment designs. Discovery then becomes an increasingly hard problem, as it becomes more difficult for a scientist to identify the workflows relevant to their particular research goals amongst all those on offer. While many approaches exist for the publishing and discovery of services, there have been few attempts to address where and how authors of experimental designs should advertise the availability of their work or how relevant workflows can be discovered with minimal effort from the user. As the users designing and adapting experiments will not necessarily have a computer science background, we also have to consider how publishing and discovery can be achieved in such a way that they are not required to have detailed technical knowledge of workflow scripting languages. Furthermore, we believe they should be able to make use of others' expert knowledge (the semantics) of the given scientific domain. In this paper, we define the issues related to the semantic description, publishing and discovery of workflows, and demonstrate how the architecture created by the myGrid project aids scientists in this process. We give a walk-through of how users can construct, publish, annotate, discover and enact workflows via the user interfaces of the myGrid architecture; we then describe novel middleware protocols, making use of the Semantic Web technologies RDF and OWL to support workflow publishing and discovery