Workshop Facilitators 2019

Tracy Worrell

Associate Professor
Ph.D., Michigan State University

Week 3 (Friday June 14 at 10am): Data Analysis: Statistics for the scientist (75-90 min workshop)

This workshop will be a hands-on demonstration of commonly used data analysis methods in the social sciences. With a focus on some of the most commonly used statistics within social science (t-tests, ANOVA, and correlations), the workshop will walk students through each test using the statistical software package, SPSS. Prior knowledge of statistics or formulas is not necessary.

Cecilia Ovesdotter Alm

Associate Professor
Ph.D., University of Illinois at Urbana-Champaign

Week 5 (Thursday June 27 at 9:30am): Research Stories Retreat - Practicum (HALF-DAY RETREAT)

In this half-day practicum, students will reflect on their earlier talks and feedback received and explore best practices for preparing and presenting posters and talks at the RIT Undergraduate Research Symposium and other external venues. They will examine use cases prepared with templates for posters and slide decks. Students will also engage in constructive peer review of their interim reports and presentation materials and gain further insight into the publication process.

Additional workshops

Week 1 (Friday May 31 at 1pm): IRB Workshop, OHSR, RIT

Week 4 (Thursday June 17 at 10am): Autism Spectrum and Computational Sensing/AI, Laurie Ackles, Autism Spectrum Support Program, RIT

Prior Workshop Facilitators 2017 - 2018 (2017 descriptions)

Ammina Kothari

Assistant Professor
Ph.D., Indiana University

Week 4 (Monday June 19 at 10am): Data Analysis: Effective Data Visualization (75 min workshop)

In the era of big data, it is important to know how to visualize meaningful patterns and relationships identified in your research so you can communicate your findings effectively. This workshop will introduce you to principles and ethics of data visualization, different types of visualizations and how to use them effectively. The session will also cover best practices for cleaning and processing data for visualization. Participants will learn how to create interactive data visualizations using Google Fusion Tables, Datawrapper, Tableau Public and other tools.

Ernest Fokoué

Associate Professor
Ph.D., University of Glasgow

Week 5 (Monday June 26 at 10am): Data Analysis: Understanding Foundational Statistical Concepts via Computational Exploration with R (75 min workshop)

Statistics is known as the ideal language for handling uncertainty. Statistical concepts however have been the Nemesis of many people for many centuries, partly due to the mathematical sophistication often required to grasp the technical foundations of statistical theory. Thanks to computational simulation, many statistical concepts that are technically difficult can be brought to life and made more intuitive and tangible. In this lecture, I will introduce random number generation very quickly and then use it to help my audience deepen their understanding of concepts such as the frequentist definition of probability, the law of large numbers, the famous birthday problem, the ubiquitous and almighty central limit theorem, and the elusive concept of statistical tie/equality, and the power of a hypothesis test. You should bring your laptop, with R installed on it, to the workshop.

Laura Shackelford

Associate Professor
Ph.D., Indiana University, Bloomington

Week 3 (Monday June 12 at 10am): Data Acquisition: Making Sense - Arts and Sciences of Sensation (75 min workshop)

The computational modeling and processing of sensory experience introduces new kinds of data and resolution to our understanding, communication, and exchange of human and nonhuman sensory information at multiple levels. The computational scale and speed of quantifying and communicating such data prompts researchers to consider whether these multimodal sensory technologies will fundamentally transform the human sensorium, giving access to and the ability to process sensory data in ways not possible without these computational platforms, data, processing, and feedback mechanisms. Creative language and visual artists working with computational sensing technologies, interfaces, and feedback, experiment with emerging smart sensing technologies to generate and circulate and otherwise make sense of our bodily experience, computationally-assisted perception, lived space and lifeworlds today. Drawing from several influential linguistic and artistic experiments with sensing technologies, students will identify and compare different disciplinary methods of capturing and modeling sensation that these creative works draw upon as they comparatively examine past and emerging arts and sciences of sensation. They will pay particular attention to the cultural, ethical, and social questions raised by such efforts to make sense of bodily experience and lifeworlds especially in light of their ongoing differentiation according to the charged, normative social categories of class, gender, sexuality, race, ethnicity, and physical ability, through which human identity continues to be defined and differentiated.

Week 7 (Monday July 10 at 10 am): Dissemination: Disseminating your Story - Narrative World Building, Modeling, and Engagement (75 min workshop)

Narrative is a primary mode of organizing and disseminating information. Admittedly, most scientific researchers and technicians do not regularly focus full attention on their narrative world-building or contributions to a larger nonfictional, scientific storyworld, yet their ability to translate research questions, data, and discoveries into recognizable, distinct narratives and to challenge prior models and supporting narratives in their fields is an invaluable skillset. Recent research in cognitive science and narratology highlights the important world-building and world-modeling capacities of narrative and their centrality to patterns of human cognition. Paying close attention to the distinct ways in which we project, immerse ourselves in, personally engage with, and revise narrative worlds as a means of cognitive understanding, this workshop introduces key concepts from interdisciplinary narrative studies, illustrating how and why narrative so engages and transforms human thinking, behavior, action, and culture. Students will reapproach their own research questions and methods from the perspective of narrative world-building and in light of some familiar stories we live by, creatively experimenting with different ways to persuasively tell their research story using visual and linguistic narrative media and methods.

Workshop Facilitators 2016

Clarence “Chip” B. Sheffield Jr

Associate Professor
Ph.D., Bryn Mawr College

Week 1 (Thursday June 2 at 3pm): Problem Exploration: Deep-Reading and Attention to Promote Critical Engagement with Research Literature (2 hr workshop)

It is important to increase student awareness as to how they process text, their tactile interaction with it, the role of memory, analogy and writing/note-taking in conjunction with the act of reading and interpretation. How do students respond when confronting new words, concepts, and ideas, or encountering facts which seem implausible or false? Alternatively, how do they respond to text they find deeply meaningful and edifying?

Week 5 (Thursday June 30 at 1pm): Data Analysis: Using Argument Diagrams, Concept Maps, and other Visual Approaches to Promote Critical Thinking (2 hr workshop)

Images, drawings, and graphic representations can serve as a powerful visual analog for concepts and thoughts, and a meaningful way for students to increase their metacognitive awareness. Little attention has been paid to such visual pedagogical methods to promote student learning, and Nick Sousanis’ work Unflattening will serve as model.

Laura Shackelford

Associate Professor
Ph.D., Indiana University, Bloomington

Week 3 (Thursday June 16 at 1 pm): Data Acquisition: Acquiring Data from Everyday Spaces with Social Impact and Ethical Considerations (2 hr workshop)

Smart sensing technologies raise questions about how we orient ourselves to lived social spaces. After an initial review of works that exploit GPS, Kinect, mobile media and physically responsive technologies, students will create a plan for their own site-specific work to take advantage of their own insights into lived space. Students will think about how material spaces and spatial understanding are influenced by social categories of gender, race, class, hearing or deaf and hard of hearing, language proficiencies, size and physical abilities.

Week 7 (Thursday July 14 at 1 pm): Dissemination: Narrative Engagement across Media (2 hr workshop)

Narrative remains a primary mode of knowledge dissemination. What can a close analysis of narrative forms, practices, and media, in combination with narrative theory and cognitive theories of narrative, teach us about how and why narrative so engages and transforms human thinking, behavior, action, and culture. What can we learn about cognition and narrative modes of knowledge-production, circulation, and dissemination through a comparative analysis of narrative methods and forms? Reviewing key concepts such as story and plot, narration, focalization, characterization, story-space, world-building, and masterplots, students will use these and other concepts to explore the challenges we continually face in narrating actions, focusing particular attention on identifying the unique ways in which interactive and collaborative narrative practices meet these challenges, with consequences for scientific and technical, as well as visual dissemination.

Babak Elahi

Associate Dean/ Professor
Ph.D., University of Rochester

Week 9 (Thursday July 28 at 1pm): Dissemination: Breaking Communication Barriers between Disciplines (2 hr workshop)

This workshop asks participants to consider Steiner’s proposition that “translation is formally and pragmatically implicit in every act of communication” (Steiner). Students will be asked to consider acts of translation across domains of knowledge, across disciplines, and between academic and popular contexts. We will explore metaphor as a rhetorical device and metacognitive concept. Metaphors are instruments to conceive of disciplines and explicate problems. We will also consider the limits of metaphorical thinking, and how metaphors can be reconsidered.