Making Environmental Futures: Ideas, Policies, Practices
Course code: 683777J
Course dates: 8-10 December (9am-4pm)
Course credits: 5 ECTS
Course venue: On campus, University of Oulu (Tellus Galaxy/Frost Club)
Registration deadline: Friday 3 December 2021
Lecturers:
Dr Eeva Berglund (University of Oulu and Aalto University), Dr Juha Hiedanpää (LUKE), Prof Janne Hukkinen (University of Helsinki), Dr Simo Sarkki (University of Oulu), Didier Bouguignon and Vincent Reillon (European Parliamentary Research Service)
Max amount of students: 15 (first come, first serve basis)
Course content:
Environmental policy is essential for coping with, and ultimately solving, many of the challenges currently faced by the planet. However, the process of environmental policymaking itself is faced with challenges, including divergent values, lack of trust between actors, historically derived trajectories, political inaction, and sometimes a simple lack of awareness by much of the general public of how it actually works. This makes it difficult for researchers working on topics related to the environment, ecology and biodiversity to know how to approach the juggernaut of environmental policymaking.
The primary aim of this short intensive doctoral course is to enable doctoral researchers and early-career scholars to learn effective skills for communicating science to policy-relevant audiences. The course will examine environmental problems from a policy perspective, looking at what researchers and scientists can do to better engage with and speak to policy. The focus will be on both local and global environmental issues with an emphasis on EU-level and Finnish policy. The course covers: the history of environmental policymaking, how the science-policy-society system works, and policy relevance of a range of environmental issues relevant to contemporary society. The course will help students understand what constitutes effective environmental policy, and how academic research, engagement, advocacy and activism can be used to help protect the environment. It will include writing sessions where students get to work on their own ideas for environmental policies.
Doctoral researchers and advanced Master’s students (as well as interested postdoctoral scholars) from any background, interest, discipline and faculty are welcome to the course. Successful completion of the course is equivalent to 5 ECTS.
Course texts:
James Meadowcroft & Daniel J. Fiorino (eds): Conceptual Innovation in Environmental Policy. MIT Press (2017); Environmental Policy: New Directions for the Twenty-First Century, Vig and Kraft, CQ Press (2010).
Lecturer: Dr. Jaakkojuhani Peltonen (Faculty of Social Sciences, History, Philosophy and Literature, Tampere University). Dr. Peltonen is an exceptional and international expert on Alexander the Great and his impact. In 2018, Peltonen joined the Classical Studies Department in King's College, London where he worked on a two-year contract as a Visiting Fellow. During his stay in London he focused to prepare his next two monographs about Masculine ideals and Alexander the Great: An exemplary man in the Roman and Medieval World and Justification of War in Roman Antiquity. Peltonen was an editor of the volume and co-wrote the introduction and the epilogue Lupa tappaa? — Sodankäynnin ja sotien oikeuttamisen pitkä historia (2019). Recently, Gaudeamus published his book Aleksanteri Suuri: sankari ja myytti (2021).
Course convener: University Lecturer Henry Oinas-Kukkonen;
In modern research, the question of using or abusing history is a delicate one. To put it simply, we, as scholars, tend to categorize a ‘right’ (based on facts, true in moral sense) and ‘wrong’ (popular, untrue and morally harmful) way to use history. However, this categorization itself is not written in stone and it is challenging to define when we are using properly history instead of abusing it. In addition, we must remember that in most periods of history there did not exist such concept as abuse of history. In this course we explore particularly the way past has been used to legitimate conflicts and warfare. In addition, we focus on the way certain famous individuals of the past like Alexander the Great have been set up as paragons and icons to represent ideals or set of values. Figures like Alexander have been posthumously mystified, glorified, or vilified and used as a tool in presenting subjective views and as a vehicle for political propaganda.
Learning outcomes
In this course we will learn how past has been used in different periods of history and how wars have been justified by using historical narratives. In addition, we will learn how famous individuals of the past have used for constructing identities as well as motivate conflicts. We will be reading and analyzing various source materials including both textual and visual data as rhetorical actions. We will learn to approach past and historical narratives from the perspective of use and abuse of history. We will learn methods and approach that can be applied in all periods of history. The course helps to recognize the continuity in the reasoning of wars and justification of war as well as how past has been used to justify war and aggression. It helps us to critically estimate the possible elements in our culture that maintain warfare. It also gives us information on the complexity of exemplarity of past.
Recommended reading
Blåfield, Antti (ed.), The use and abuse of history. Kustannusosakeyhtiö Siltala 2016; MacMillan, Margaret, The Uses and Abuses of History. Modern Library. 2008; Peltonen, Jaakkojuhani, Alexander the Great in the Roman Empire, 150 BC to AD 600, Routledge 2019.
Visiting researcher, Associate Professor (Experimental Psychology) Ignace Hooge from the Utrecht University, is offering a Python course directed at students and researchers who want to learn to program but do not necessarily feel confident about their skills. Python is a programming language that enables one to work quickly and efficiently – and is not too difficult for a beginner to learn! (See more e.g., https://www.python.org/).
The course will be mostly hands-on, with some limited theoretical parts. Doctoral students and staff with limited programming skills or without any programming experience are welcome to attend the course. No prior knowledge of programming is needed. The course is suitable for both those who are interested in and planning to learn programming and those who perhaps have specific questions they need help with.
Mode of delivery: An average session will consist of a short lecture and hands-on working. Participants should bring their own laptops.
Target group: Doctoral students and staff in any field of human sciences. Maximum number of participants is 15.
Language of instruction: English
Credits: 2 ECTS
Registration: Registration – see Peppi and course code HL00AF42.
The course is organised by the Research Unit of Logopedics by Prof. Kerttu Huttunen, Dr. Katja Dindar and MSc, MA Aija Kotila. If you have questions or need more information, please email Aija Kotila (aija.kotila@oulu.fi).
Lecturer
Dr. Ignace Hooge has a background in Physics and he received his PhD in 1996. He is an Associate Professor in Experimental Psychology at Utrecht University, Netherlands. He is particularly experienced in programming and eye tracking research. Ignace was awarded the teacher of the university award in 2015. For publications see: https://scholar.google.nl/citations?user=uSRpKW4AAAAJ
Opintojakso sopii mm. ihmistieteiden tohtoriohjelman väitöskirjatutkijoille ja opinnäytetyötään tekeville perustutkinto-opiskelijoille, jotka ovat kiinnostuneita keskustelunanalyysistä tutkimusmenetelmänä ja vuorovaikutusaineistojen tarkastelusta.
Kontaktiopetusta on 16.3.–11.5.2022 keskiviikkoisin klo 12–16. Kontaktiopetus pyritään järjestämään hybridiopetuksena, johon voi osallistua joko kampuksella tai videoyhteydellä.
FT Pauliina Siitonen ja dos. Anna Vatanen sekä mahdollisesti 1–3 muuta vierailevaa luennoitsijaa
Tavoitteet
Opintojakson kolme eri moduulia suoritettuaan opiskelija
osaa tarkastella vuorovaikutuksen keskeisiä ilmiöitä käyttäen keskustelunanalyysin peruskäsitteitä (perusteet),
osaa litteroida aidoista vuorovaikutustilanteista kerättyä aineistoa kasvavalla tarkkuudella (litterointi) ja
kykenee itsenäisesti perehtymään johonkin vuorovaikutuksen ilmiöön tai keskustelunanalyyttiseen tutkimusteemaan (syventävä).
Sisältö
keskustelunanalyysin perusteet, keskustelunanalyyttinen litterointi, perehtyminen valittuun ilmiöön tai teemaan
Suoritustavat
Suorittaakseen opintojakson kolme eri moduulia hyväksytysti opiskelijan tulee osallistua luento-opetukseen sekä pari- ja ryhmätyöskentelyyn ja tehdä erilaisia itsenäisiä tehtäviä, kuten tutustua tutkimuskirjallisuuteen (perusteet, syventävä), litteroida aineistoa (litterointi) ja valmistella lyhyt suullinen tai kirjallinen esitys valitsemastaan aiheesta (syventävä).
Toteutustavat
Opintojakson kolmeen eri moduuliin sisältyy itsenäistä työskentelyä, työskentelyä Moodlessa sekä kontaktiopetusta seuraavasti: perusteet 5 x 2 t, litterointi 3 x 2 t ja syventävä 7 x 2 t. Lisäksi opiskelijalla on mahdollisuus 2 x 1 t henkilökohtaiseen konsultaatioon opettajan kanssa.
Registration closes when the course is full or by August 5 at the latest. Further information about the course (e.g., a list of recommended readings and the link to Zoom) will be sent during week 32 to those registered on the course.
Teachers
Associate Professor Jacob Davidsen, Department of Communication and Psychology, Aalborg University, Denmark
Dr Eric Laurier, Reader in Geography & Interaction, School of Geosciences, University of Edinburgh, UK.
Professor Paul McIlvenny, Department of Culture and Learning, Aalborg University, Denmark.
Learning outcomes
Upon completion of the course, the course participants will be able to
Prepare video data for transcription
Use software tools designed for the transcription and visualization of video data
Have a basic understanding of the theory and practice of transcription for social-interactional research in human sciences
Content
Practice with video-editing and transcription software, transcription of multimodal data, and discussion of theoretical and methodological perspectives on transcription and transcripts.
Schedule
Day 1 – August 22
9.45-10.00 Opening
10.00-12.00 Preparing audiovisual data
13.00-15.00 Basics of transcription
15.30-18.00 Visualising video data
Day 2 – August 23
10.00-12.00 Using transcription software
13.00-15.00 Theoretical and methodological issues
15.00-15.30 Discussion and closing
Assessment methods and criteria
Completion of the course requires attendance in the workshop and active participation in learning activities. The assessment criteria are based on the learning outcomes of the course. Evaluation scale: pass/fail.
Form of instruction
Variable learning activities and teaching methods are used. Getting acquainted with the course materials 20 h; online workshop 16 h; self-study 45 h.
Target group
Doctoral researchers from any discipline in the field of Human Sciences.
The course involves online work and two full-day workshops during 01/08–30/09/2022 (workshops on 16/08 and 25/08/2022 on campus). Between the workshop days, teams organise their activities independently.
Python for processing and analysis of behavioral data
2 study points, timing: 2.–23.2.2023 (each Thursday 12–16 on campus)
This course is principally targeted to doctoral researchers (= PhD students) in Business and Economics, Education, Humanities, and Human Geography.
Target audience & Relevance
Any researcher (ranging from master student to full professor) who deals with behavioral data obtained in various conditions from multiple participants knows the problem. Reading in and combining the data may be laborious. This should be done automatically with a computer. Let your computer work for you!
Learning Objectives
After taking this course, the participant of the course is able to carry out automatic data processing and analysis with a computer using the Python programming language.
The course focuses on
Reading and manipulating scripts from others for own use.
String handling (e.g., being able to manipulate text with Python).
Analysis of data from a large experiment (multiple conditions, many participants) and automatic reading of data from multiple data files (participants). For example,
combining the data into group averages or
summarizing the data in one file. The method taught can be applied to data from small to large experiments.
Handling of time series data. In the course, the analysis is done on real pupillometry data from a real experiment (40 participants, each 10 trials). The obtained knowledge is generalizable to any other type of time series data (eye tracking, EEG, skin conductance etc.). Even if one does not use time series, the skills taught on this course are handy to deal with any data from any behavioral experiment.
Recommended prior knowledge
Basic Python knowledge. This knowledge may have been obtained with, e.g., the “Python for beginners” course which was held as an UniOGS course in February 2022.
Knowledge regarding the design and handling of behavioral experiments and physiological recordings may be useful. However, in other countries, there have been many participants who have successfully completed the course without this prior knowledge.
Lecturer
Dr. Ignace Hooge has a background in Physics and he received his PhD in 1996. He is an Associate Professor in Experimental Psychology at Utrecht University, Netherlands. He is particularly experienced in programming and eye tracking research. Ignace was awarded the teacher of the university award in 2015. For his publications see: https://scholar.google.nl/citations?user=uSRpKW4AAAAJ
The course code in Peppi is HL00AL01-3001, and registration in Peppi will be open till 31.1.2023.
The first 15 registered for the course in Peppi will be accepted to the course. Moodle folder for the participants will open 19.1.2023 so that there is plenty of time to make some preparations needed for the course.
